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Methods and applications in psychology for clinical settings

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Edited by
Carmen María Galvez-Sánchez, Casandra Isabel Montoro
and Tindara Caprì
Published in
Frontiers in Psychology
Frontiers in Public Health
Frontiers in Psychiatry
Methods and applications
in psychology for clinical
settings
July 2023
Frontiers in Psychology frontiersin.org1
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ISSN 1664-8714
ISBN 978-2-8325-2850-1
DOI 10.3389/978-2-8325-2850-1
July 2023
Frontiers in Psychology 2frontiersin.org
Methods and applications in
psychology for clinical settings
Topic editors
Carmen María Galvez-Sánchez — University of Jaén, Spain
Casandra Isabel Montoro — University of Jaén, Spain
Tindara Caprì — Università Link Campus, Italy
Citation
Galvez-Sánchez, C. M., Montoro, C. I., Caprì, T., eds. (2023). Methods and
applications in psychology for clinical settings. Lausanne: Frontiers Media SA.
doi: 10.3389/978-2-8325-2850-1
July 2023
Frontiers in Psychology frontiersin.org3
05 Editorial: Methods and applications in Psychology for Clinical
Settings
Tindara Caprì, Casandra Isabel Montoro and
Carmen María Galvez-Sánchez
07 Psychometric Properties of the HADS Measure of Anxiety and
Depression Among Multiple Sclerosis Patients in Croatia
Ana Jerković, Ana Proroković, Meri Matijaca, Jelena Vuko,
Ana Poljičanin, Angela Mastelić, Ana Ćurković Katić, Vana Košta,
Lea Kustura, Krešimir Dolić, Zoran Ðogaš and Maja Rogić Vidaković
17 Life Design Counseling: Theory, Methodology, Challenges,
and Future Trends
Ya Wen, Kai Li, Huaruo Chen and Fei Liu
24 Open Science Within Pediatric Medical and Mental Health
Systems: Practical Considerations for Behavioral Health
Researchers
Robyn E. Metcalfe
28 Impact of a Remotely Supervised Motor Rehabilitation
Program on Maternal Well-Being During the COVID-19 Italian
Lockdown
Moti Zwilling, Alberto Romano, Martina Favetta, Elena Ippolito and
Meir Lotan
39 Clinical Guidelines of the Egyptian Psychiatric Association for
the Management of Treatment-Resistant Unipolar Depression
in Egypt
Momtaz Abdel-Wahab, Tarek Okasha, Mostafa Shaheen,
Mohamed Nasr, Tarek Molokheya, Abd ElNasser Omar,
Menan A. Rabie, Victor Samy, Hany Hamed and Mohamed Ali
51 Examining Motor Anticipation in Handwriting as an Indicator
of Motor Dysfunction in Schizophrenia
Yasmina Crespo Cobo, Sonia Kandel, María Felipa Soriano and
Sergio Iglesias-Parro
62 The Effectiveness of the Moving to Emptiness Technique on
Clients Who Need Help During the COVID-19 Pandemic: A
Real-World Study
Yanqiang Tao, Yi Chen, Wen Zhou, Lihui Lai and Tianjun Liu
71 Hospital Culture and Healthcare Workers’ Provision of
Patient-Centered Care: A Moderated Mediation Analysis
Xianhong Huang, Yuan Gao, Hanlin Chen, Hao Zhang and
Xiaoting Zhang
85 The Integration of Assistive Technology and Virtual Reality for
Assessment and Recovery of Post-coma Patients With
Disorders of Consciousness: A New Hypothesis
Fabrizio Stasolla, Leonarda Anna Vinci and Maria Cusano
Table of
contents
July 2023
Frontiers in Psychology 4frontiersin.org
91 Application of the unified protocol for the transdiagnostic
treatment of comorbid emotional disorders in patients with
ultra-high risk of developing psychosis: A randomized trial
study protocol
Trinidad Peláez, Raquel López-Carrillero, Marta Ferrer-Quintero,
Susana Ochoa and Jorge Osma
99 Effects of virtual reality natural experiences on factory
workers’ psychological and physiological stress
Mu-Hsing Ho, Meng-Shin Wu and Hsin-Yen Yen
TYPE Editorial
PUBLISHED 14 June 2023
DOI 10.3389/fpsyg.2023.1192774
OPEN ACCESS
EDITED AND REVIEWED BY
Gianluca Castelnuovo,
Catholic University of the Sacred Heart, Italy
*CORRESPONDENCE
Carmen María Galvez-Sánchez
cgalvez@ujaen.es
RECEIVED 23 March 2023
ACCEPTED 30 May 2023
PUBLISHED 14 June 2023
CITATION
Caprì T, Montoro CI and Galvez-Sánchez CM
(2023) Editorial: Methods and applications in
Psychology for Clinical Settings.
Front. Psychol. 14:1192774.
doi: 10.3389/fpsyg.2023.1192774
COPYRIGHT
©2023 Caprì, Montoro and Galvez-Sánchez.
This is an open-access article distributed under
the terms of the Creative Commons Attribution
License (CC BY). The use, distribution or
reproduction in other forums is permitted,
provided the original author(s) and the
copyright owner(s) are credited and that the
original publication in this journal is cited, in
accordance with accepted academic practice.
No use, distribution or reproduction is
permitted which does not comply with these
terms.
Editorial: Methods and
applications in Psychology for
Clinical Settings
Tindara Caprì1, Casandra Isabel Montoro2and
Carmen María Galvez-Sánchez2*
1Department of Life and Health Sciences, and Health Professions, Link Campus University, Rome, Italy,
2Department of Psychology, University of Jaén, Jaén, Spain
KEYWORDS
Psychology for Clinical Settings, experimental techniques, technology, methods, general
psychology
Editorial on the Research Topic
Methods and applications in Psychology for Clinical Settings
The main aim of this Research Topic was to highlight the latest experimental techniques
and methods used to investigate relevant questions in Psychology for Clinical Settings. This
Research Topic includes 11 papers, six original research articles, two opinion articles, one
mini review, and one brief research report, which include recent techniques and up-to-date
methods that contribute to advancing the science of Psychology for Clinical Settings.
The first study (Jerkovi´
c et al.) examined the factor structure, internal consistency, and
correlates of the Croatian version of the Hospital Anxiety and Depression Scale (HADS)
for patients with multiple sclerosis (MS). A total of 179 patients with MS and 999 healthy
subjects completed the HADS. The results of this study demonstrated that the HADS
is a reliable and valid self-assessment scale and suggested that it be used in the clinical
monitoring of the psychiatric and psychological status of patients with MS.
The second study (Cobo et al.) investigated whether motor anticipation in handwriting
can be an indicator of motor dysfunction in schizophrenia. A total of 24 subjects with a
diagnosis of schizophrenia and 24 healthy subjects performed an easy and brief handwriting
task. The authors used three measures to evaluate motor anticipation: the time per stroke
(duration), the path of the pen for each stroke (trajectory), and the number of velocity
peaks (disfluency). The results indicated that patients with schizophrenia did not exhibit
any signs of motor anticipation. This study supported the idea of using handwriting analysis
as a quantitative, objective, and reliable tool to detect motor alterations in schizophrenia.
Two studies included in this Research Topic described the effects of two different
therapeutic techniques used during the COVID-19 pandemic. The first study (Zwilling et al.)
examined the wellbeing level of mothers of girls and women with Rett Syndrome (RTT)
who were involved in a home-based, remotely supervised motor rehabilitation program
before and during the Italian COVID-19 lockdown. In total, 40 subjects with RTT were
randomly assigned to two groups: Group 1 received the intervention immediately before the
lockdown, and Group 2 received it during the lockdown. The motor rehabilitation program
consisted of an individualized daily physical activity program carried out for 12 weeks by the
participants’ parents and supervised every two weeks through Skype calls to plan, monitor,
and accommodate individual activities to the participants’ home lives. The results showed
that the participants’ mothers’ wellbeing was similar in the two groups, indicating that the
Frontiers in Psychology 01 frontiersin.org
5
Caprì et al. 10.3389/fpsyg.2023.1192774
lockdown influenced the effect of the rehabilitation program. Thus,
this study proposed that the motor intervention helped the mothers
of patients with RTT to manage the new daily routine at home.
The second study, by Tao et al., described a new therapeutic
technique to reduce psychological symptoms during the COVID-
19 pandemic in China. This technique was the “Moving to
Emptiness Technique” (MET), which combined traditional Chinese
culture with relaxation and the operational process of Cognitive
Behavioral Therapy (CBT). A total of 17 therapists treated 107
subjects using the MET. The participants were subdivided into
two groups: a high-frequency symptom group and a low-frequency
symptom group. The results showed that symptoms decreased
significantly in both groups after the intervention, indicating
that MET is a good therapeutic technique. However, the authors
suggested caution in the interpretation of their results due to the
small sample size.
Another study by Huang et al. examined the effects of hospital
culture, self-efficacy, and achievement motivation on healthcare
workers’ perceived delivery of patient-centered care (PCC). In
total, 1,612 healthcare workers from different levels of public
hospitals completed a survey interview. The results suggested that
self-efficacy, achievement motivation, and hospital culture were
necessary to promote the use of PCC among healthcare workers.
The last research article (Ho et al.) included in this Research
Topic investigated the effects of virtual reality nature experiences
on the psychological and physiological stress of furniture factory
employees. A total of 35 factory workers were assigned to two
groups: an experimental group and a comparison group. The
experimental group received virtual reality experiences consisting
of 30-min nature-based 360videos played in a headset. The
intervention was conducted once a week for 12 weeks. The
comparison group received no intervention; participants in this
group freely performed their activities during their afternoon break.
The results indicated that the experimental group showed an
improvement in distress, depression, and anxiety compared to the
comparison group.
With reference to two opinion articles included in the
present Research Topic, the first by Metcalfe discussed practical
considerations for behavioral health researchers when using open
science. The author encouraged researchers to consider open
science practices for their projects in pediatric medicine because
they can be a viable tool for data reporting and connecting
families and peers within pediatric-focused institutions. The second
opinion article (Stasolla et al.) discussed the use of technology in the
evaluation and recovery of post-coma and altered consciousness
patients. In particular, the authors proposed the integration of
assistive technology-based devices and virtual reality setups for
both assessment and recovery purposes.
A mini-review (Wen et al.) examined the state of the art
in Life Design Counseling (LDC), showing the lack of attention
to clients from diverse backgrounds and professional counselors,
the lack of different methods in the intervention process, and
the lack of research on LDC. Abdel-Wahab et al. wrote a brief
report to introduce clinical guidelines for the treatment of resistant
depression in Egyptian patients. The guidelines were consistent
with international recommendations and were the first in Egypt.
However, the proposed guidelines had a limitation related to the
fact that the panel consisted of only eight doctors.
The present Research Topic offers an overview of the
latest experimental techniques and methods used to investigate
fundamental issues in Psychology for Clinical Settings. The
studies and opinion articles included in this Research Topic were
conducted in different clinical populations and settings, which
may represent a strength for the audience, researchers, and health
professionals. Given the collected findings and the worldwide
high prevalence of mental illness (World Health Organization,
2022a), continuous efforts to explore new clinical intervention and
evaluation methodologies must be strongly encouraged. The latter
is of special relevance after the impact of the pandemic (World
Health Organization, 2022b).
Author contributions
TC drafted the first version of this editorial. All authors
contributed to and approved the final version.
Acknowledgments
We thank the authors of the articles published in this Research
Topic for their significant contributions and the reviewers for their
careful work. We also thank the editorial board of the Psychology
for Clinical Settings Section for their support.
Conflict of interest
The authors declare that the research was conducted in the
absence of any commercial or financial relationships that could be
construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the
authors and do not necessarily represent those of their affiliated
organizations, or those of the publisher, the editors and the
reviewers. Any product that may be evaluated in this article, or
claim that may be made by its manufacturer, is not guaranteed or
endorsed by the publisher.
References
World Health Organization (2022a). Mental Disorders. Available online at:
https://www.who.int/news-room/fact- sheets/detail/mental-disorders (accessed March
23, 2023).
World Health Organization (2022b). Mental Health
and COVID-19: Early Evidence of the Pandemic’s Impact.
Geneva.
Frontiers in Psychology 02 frontiersin.org
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fpsyg-12-794353 November 26, 2021 Time: 12:51 # 1
ORIGINAL RESEARCH
published: 30 November 2021
doi: 10.3389/fpsyg.2021.794353
Edited by:
Carmen María Galvez-Sánchez,
University of Jaén, Spain
Reviewed by:
Rafał Watrowski,
University of Freiburg, Germany
Klaas Wardenaar,
University Medical Center Groningen,
Netherlands
Ljubica Konstantinovic,
University of Belgrade, Serbia
*Correspondence:
Maja Rogi ´
c Vidakovi´
c
maja.rogic@mefst.hr
Specialty section:
This article was submitted to
Psychology for Clinical Settings,
a section of the journal
Frontiers in Psychology
Received: 13 October 2021
Accepted: 12 November 2021
Published: 30 November 2021
Citation:
Jerkovi ´
c A, Prorokovi ´
c A,
Matijaca M, Vuko J, Polji ˇ
canin A,
Masteli ´
c A, ´
Curkovi ´
c Kati ´
c A, Košta V,
Kustura L, Doli ´
cK,Ðogaš Z and
Rogi ´
c Vidakovi´
c M (2021)
Psychometric Properties of the HADS
Measure of Anxiety and Depression
Among Multiple Sclerosis Patients in
Croatia. Front. Psychol. 12:794353.
doi: 10.3389/fpsyg.2021.794353
Psychometric Properties of the
HADS Measure of Anxiety and
Depression Among Multiple
Sclerosis Patients in Croatia
Ana Jerkovi ´
c1, Ana Prorokovi ´
c2, Meri Matijaca3, Jelena Vuko2, Ana Polji ˇ
canin4,5 ,
Angela Masteli ´
c6, Ana ´
Curkovi ´
c Kati ´
c3, Vana Košta3, Lea Kustura7, Krešimir Doli ´
c8,
Zoran Ðogaš1,9 and Maja Rogi ´
c Vidakovi ´
c1*
1Laboratory for Human and Experimental Neurophysiology, Department of Neuroscience, School of Medicine, University
of Split, Split, Croatia, 2Department of Psychology, University of Zadar, Zadar, Croatia, 3Department of Neurology, University
Hospital of Split, Split, Croatia, 4Institute of Physical Medicine and Rehabilitation with Rheumatology, University Hospital
of Split, Split, Croatia, 5Department for Health Studies, University of Split, Split, Croatia, 6Department of Medical Chemistry
and Biochemistry, University of Split School of Medicine, Split, Croatia, 7Department Psychiatry, University Hospital of Split,
Split, Croatia, 8Department of Radiology, University Hospital of Split, Split, Croatia, 9Sleep Medical Center, University
of Split, Split, Croatia
Depression and anxiety are common complaints in patients with multiple sclerosis (MS).
The study objective was to investigate the factor structure, internal consistency, and
correlates of the Croatian version of the Hospital Anxiety and Depression Scale (HADS) in
patients with MS. A total of 179 patients with MS and 999 controls were included in the
online survey. All subjects completed the HADS and self-administered questionnaires
capturing information of demographic, education level, disease-related variables, and
the Multiple Sclerosis Impact Scale-29 (MSIS-29). Psychometric properties were
examined by estimating the validity, reliability, and factor structure of the HADS in
patients with MS. The two HADS subscales (anxiety and depression) had excellent
internal consistencies (Cronbach’s αvalue 0.82–0.83), and factor analysis confirmed
a two-factor structure. The convergent validity of the HADS subscales appeared to
be good due to the significant correlations between HADS and MSIS-29. Receiver
operating characteristic (ROC) analysis indicates that the HADS subscales have a
significant diagnostic validity for group differentiation. Hierarchical regression analysis
using MSIS-29 subscales as criterion variables showed consistent evidence for the
incremental validity of the HADS. The HADS is a reliable and valid self-assessment scale
in patients with MS and is suggested to be used in clinical monitoring of the psychiatric
and psychological status of patients with MS.
Keywords: Hospital Anxiety and Depression Scale (HADS), psychometrics, depression, multiple sclerosis, anxiety
INTRODUCTION
Multiple sclerosis (MS) has a high prevalence of depression, anxiety, and stress comorbidities
(Marrie et al., 2018;Karimi et al., 2020). Comorbid depression and anxiety disorders affect more
than 20% of the MS population (Beiske et al., 2008;Fiest et al., 2015;Marrie et al., 2015, 2018;Karimi
et al., 2020). Various screening instruments have been used to evaluate depression, anxiety, and
Frontiers in Psychology | www.frontiersin.org 1November 2021 | Volume 12 | Article 794353
7
fpsyg-12-794353 November 26, 2021 Time: 12:51 # 2
Jerkovi ´
c et al. HADS Psychometrics
stress in a clinical population of people with MS (pwMS)
and non-clinical populations, including the Beck Depression
Inventory-II (BDI-II) (Beck and Steer, 1990;Watson et al., 2014),
Hospital Anxiety and Depression Scale (HADS) (Zigmond and
Snaith, 1983;Honarmand and Feinstein, 2009), and Depression,
Anxiety, and Stress Scale-21 (DASS-21) (Lovibond P.F. and
Lovibond S.H., 1995;Lovibond S.H. and Lovibond P.F., 1995;
Rogi´
c Vidakovi´
c et al., 2021). The HADS is one of the most
commonly used scales for assessing anxiety and depression
among patients in a general hospital setting (Zigmond and
Snaith, 1983;Mitchell et al., 2010). Watson et al. (2014) validated
anxiety and depression measures in pwMS, confirming HADS
as an appropriate questionnaire to assess depression and anxiety
in pwMS. Recently Rogi´
c Vidakovi´
c et al. (2021) reported
psychometric properties of the DASS-21 scale in pwMS. The
normative data for the HADS in pwMS were provided in pwMS
in different languages (Honarmand and Feinstein, 2009;Atkins
et al., 2012;Watson et al., 2014;Marrie et al., 2018;Pais-Ribeiro
et al., 2018). A systematic review of the structure of the HADS
(Cosco et al., 2012) found inconsistencies in the latent structure of
the scale, which were mainly related to the different latent variable
analysis methods [exploratory factor analysis and confirmatory
factor analysis (CFA)] used for HADS. Regarding factor structure
of HADS in pwMS MS, Pais-Ribeiro et al. (2018) conducted
CFA and exploratory factor analysis providing support for a two-
factor HADS structure in pwMS. There have also been specific
problems in the translated versions and cross-cultural use of
the HADS (i.e., authors from the same country do not apply
the identical versions of HADS translations) (Wichowicz and
Wieczorek, 2011;Maters et al., 2013;Watrowski and Rohde,
2014). The HADS has been validated in a diverse group of
subjects, including those in primary care patients (el-Rufaie
and Absood, 1995), geriatric patients (Flint and Rifat, 1996),
or cancer patients (Mitchell et al., 2010). In addition, specific
HADS cut-off points have been established for patients with
cancer (Ibbotson et al., 1994), gynecological disorders (Abiodun,
1994), stroke (Johnson et al., 1995), and for pwMS (Honarmand
and Feinstein, 2009). In previous studies conducted in Croatia,
the HADS has been used in medical conditions other than MS
(Filipovic-Grcic et al., 2010;Vuleti´
c et al., 2011;Ostoji´
c et al.,
2014;Pokrajac-Bulian et al., 2015;Miljanovi´
c et al., 2017), but
no study determined psychometric properties for the Croatian
version of the HADS in pwMS. Two studies conducted in Croatia
with HADS stated the origin of the Croatian version of HADS
(Miljanovi´
c et al., 2017;Gali´
c et al., 2020), and so far, only
Miljanovi´
c et al. (2017) investigated metric properties of HADS in
terminal cancer patients but having relatively smaller convenient
sample size without a control group.
OBJECTIVE
The purpose of this online survey, was to evaluate the
metric properties of the Croatian version of the HADS in
terms of validity, reliability, and factor structure in pwMS.
The study compared HADS subscales with a non-clinical
population (control healthy subjects) and published data in
pwMS (Watson et al., 2014;Pais-Ribeiro et al., 2018). The study
also investigated the incremental validity of HADS using the
Multiple Sclerosis Impact Scale-29 (MSIS-29) (Hobart et al.,
2001) and relevant demographic and disease-related variables as
the criterion variables.
MATERIALS AND METHODS
Study Population and Procedure
The subjects with MS were recruited by advertising through the
Association of Multiple Sclerosis Societies of Croatia (AMSSC).
A total of 179 pwMS and 999 control subjects were included
in the online survey. The demographic factors, education level,
and disease-related factors for pwMS and control subjects are
presented in Table 1. In the group of pwMS, 84% were women
with a mean age of 41.3 ±11.5 years, and 16% were men
with a mean age of 42.7 ±9.9 years. Most pwMS were right-
handed (92.7%) and 35–49 years old (49%). Most pwMS had high
school degrees (49.1%) and graduate university degrees (23.5%).
Most of the pwMS were diagnosed with MS disease between
0 and 5 years (41.4%), 26.7% were diagnosed between 6 and
11 years, and 31.8% reported having MS over 11 years. The mean
duration of the disease for pwMS was 8.7 ±7.2. A majority
of the people declared to have relapsing-remitting MS (RRMS)
(70.4%), while others reported having secondary progressive MS
(SPMS) (7.8%) and primary progressive MS (PPMS) (10.6%).
Some pwMS (11.2%) did not provide information on the type
of MS. The median Expanded Disability Status Scale (EDSS)
score for all pwMS was 3.5 ±3.5. Of the 179 pwMS, 51.8%
had comorbidities, of which the most common were endocrine,
nutritional, and metabolic diseases (9.9%) and diseases of the
circulatory system (7.8%).
In the group of control subjects, 81% of participants were
women with a mean age of 39.8 ±10.3 years, and 19 percent
(19%) were men with a mean age of 40.3 ±10.1 years. Most
of the controls were right-handed (93.4%) and between 35 and
49 years old (51%), and most of them had graduate university
degrees (43.7%) and high school degrees (25.6%). Of a total,
27.6% of people had comorbidities, of which the most common
were endocrine, nutritional, and metabolic diseases (8.2%) and
diseases of the circulatory system (5.2%).
The data were collected via a Google Forms survey from
December 16, 2020, until January 13, 2021.
Measurements and Data Collection
Demographic Information and Disease-Related
Variables
The participants were characterized by demographic information
(age, sex, and handedness), educational, and disease-related
factors, including duration of the disease, MS type (Lublin et al.,
2014), and the score on the EDSS (McDonald et al., 2001).
Hospital Anxiety and Depression Scale (HADS)
The HADS (Zigmond and Snaith, 1983) is a self-report scale
consisting of two subscales, one measuring anxiety with seven
items (HADS-A) and one measuring depression with seven items
Frontiers in Psychology | www.frontiersin.org 2November 2021 | Volume 12 | Article 794353
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fpsyg-12-794353 November 26, 2021 Time: 12:51 # 3
Jerkovi ´
c et al. HADS Psychometrics
(HADS-D). The subject gives answers to each question on a 4-
point (0–3) Likert scale and answering how he/she has been
feeling in the past week. Items 1, 3, 5, 7, 9, 11, 13 belong to
the anxiety subscale, while items: 2, 4, 6, 8, 10, 12, 14 belong to
the depression subscale. The total score is obtained by summing
the scores within each subscale. According to Pais-Ribeiro et al.
(2018) interpretation, the score 0–7 represents “normal, 8–10
“mild, 11–14 “moderate, and 15–21 “severe.” In the present
study, the cut-off score of 8 and of 11 was used for HADS
subscales (Botega et al., 1995;Bjelland et al., 2002;Honarmand
and Feinstein, 2009;Brennan et al., 2010;Watson et al., 2014;
Litster et al., 2016).
Multiple Sclerosis Impact Scale-29
The MSIS-29 is a self-report scale capturing MS disease’s impact
from a patient’s physical and psychological perspective (Hobart
et al., 2001;Rogi´
c Vidakovi´
c et al., 2021). The MSIS-29 is a
self-report scale capturing MS disease’s impact from a patient’s
physical and psychological perspective. The scale is structured
into two subscales, a 20-item scale for measuring physical impact
and a 9-item scale for measuring the psychological impact of the
disease. The “physical impact” subscale consists of items from 1
to 20. The subscale of “psychological impact” consists of items
from 21 to 29. The patient is instructed to read each statement
about the disease’s impact on his/her everyday life in the past
2 weeks. For each statement, the patient’s task is to circle the
TABLE 1 | Characteristics of study participants.
Control subjects
(N= 999)
pwMS (N= 179)
Age in years (mean ±SD) 39.9 ±10.2 41.6 ±11.3
Age (range) 20–74 19–75
Sex
Female 81% 84%
Male 19% 16%
MS type
RRMS 70.4%
SPMS 7.8%
PPMS 10.6%
Not known 11.2%
Years of MS disease (mean ±SD) 8.7 ±7.2
EDSS (median ±IQR, range) 3.5 ±3.5, 0–9
EDSS* 2.5 ±2.5
EDSS** 6 ±2
Self-report scales (mean ±SD)
HADS-A 6.5 ±3.6 8.8 ±4.1
HADS-D 5.1 ±3.1 7.8 ±3.9
MSIS-29 PHYS 46.6 ±17.2
MSIS-29 PSY 24.3 ±8.8
SD, standard deviation; IQR, interquartile range; EDSS, Expanded Disability
Status Scale; EDSS*, fully preserved mobility 0–4.5; EDSS**, partially or
fully impaired mobility 5–9.5; RRMS, relapsing-remitting multiple sclerosis;
SPMS, secondary progressive multiple sclerosis; PPMS, primary progressive
multiple sclerosis; HADS-A, HADS Anxiety subscale; HADS-D, HADS Depression
subscale; MSIS-29 PHYS, MSIS-29 Physical subscale; MSIS-29 PSY, MSIS-29
Psychological subscale.
TABLE 2 | Score classification percentages of HADS anxiety and depression
subscales for pwMS and control subjects.
Control subjects pwMS
HADS-A (%) HADS-D (%) HADS-A (%) HADS-D (%)
(0–7) normal 65.7 79.7 41.4 50.3
(8–10) mild 21.3 12.9 22.9 21.8
(11–14) moderate 9.6 7.2 26.8 24.0
(15–21) severe 3.4 0.2 8.9 3.9
8 34.3% 20.3% 58.6% 49.8%
11 13% 7.4% 35.7% 27.9%
HADS-A, HADS Anxiety subscale; HADS-D, HADS Depression subscale.
number that best describes his/her condition and answering on
a 5-point Likert scale (1 = not at all, 2 = a little, 3 = moderately,
4 = quite a bit, and 5 = extremely. The patient’s scores on
two subscales generated by summing individual items can be
transformed to a scale of 0–100, with higher scores indicating a
more severe disease burden.
Translation and Cultural Adaptation
Croatian translation of the HADS questionnaire was used in the
evaluation of anxiety and depression in patients suffering from
oncological (Miljanovi´
c et al., 2017) and neurological (Vuleti´
c
et al., 2011;Ostoji´
c et al., 2014) diseases or other conditions
(Filipovic-Grcic et al., 2010). Recently, HADS was used in the
general Croatian population during the COVID-19 infection
(Gali´
c et al., 2020). Among the mentioned studies that used the
Croatian translation of HADS, two studies stated the origin of the
translated version of the HADS questionnaire. Miljanovi´
c et al.
(2017) used the purchased Croatian translation of HADS from
Mapi Research Trust, and Gali´
c et al. (2020) used the translated
Croatian version of HADS from Pokrajac-Bulian et al. (2015).
The reason why our group initiated the HADS translation
procedure is the fact that the translation of HADS from Mapi
Research Trust is not entirely in the spirit of the Croatian
language according to the authors’ opinion, and all authors of this
study agreed not to use it in the present study. Also, the Croatian
version of HADS from Mapi Research Trust is not publicly free of
charge to the research community. Further, since Pokrajac-Bulian
et al. (2015) did not detail the process of translating HADS into
Croatian, having a relatively small sample size of obese people,
and the main aim of the study was not the validation of HADS in
the Croatian population, we did not consider it appropriate.
Therefore, our group translated HADS following current
recommendations, methodological approaches, and guidelines
in the process of translating, adapting, and cross-validating
instruments (Sousa and Rojjanasrirat, 2011). One author of
this study (MRV) and Professor of English language (Professor
Dalibora Behmen DB, from the University of Split School of
Medicine), both natives in the Croatian language, translated the
HADS from English to Croatian. Next, the English language
professor (DB) compared both translated versions of HADS in
the Croatian language and produced the final version of the
questionnaires. Another independent English language professor
(University of Split) who had no insight into the original English
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FIGURE 1 | Path diagram for the confirmatory factor analysis of HADS with standardized regression weights.
version translated the last Croatian version of the questionnaires
back into the English language, completing the final adaptation of
the Croatian version of HADS used in this study (Supplementary
Material).
Validation Procedure
Internal consistency of HADS was estimated by Cronbachs alpha
coefficients and inter-item correlations. CFA was carried out to
test the validity of the two-factor and one-factor models. Data
were analyzed by using the generalized least square (GLS) method
and the maximum likelihood (ML) estimator. Several criteria
[ML Chi-square, root mean square (RMS) standardized residual,
Steiger Lind RMSEA, and McDonald non-centrality index] are
reported with an emphasis on the root mean square error of
approximation (RMSEA), the most commonly used fit index.
Convergent validity was demonstrated by the correlation between
HADS and MSIS-29 subscales. Concurrent validity was assessed
by comparisons between a group of pwMS and control subjects.
A receiver operating characteristic (ROC) curve was used to
determine the optimum cut-off score for each HADS subscales
the score that yielded the best balance between sensitivity
and specificity. Furthermore, comparisons were also provided
between published data on psychometric properties of the HADS
(Watson et al., 2014;Pais-Ribeiro et al., 2018). Pais-Ribeiro et al.
(2018) offered psychometric properties of HADS, analyzing a
sample of 380 pwMS (63.9% female; mean age 40.0 ±10.9 years;
range: 16–71 years) from the outpatient Neuroimmunology
Clinic at a Central Hospital in Porto, Portugal, while Watson et al.
(2014) included 34 pwMS (71%) female and (29%) male; mean
age 48.5 (11.1) from England.
The incremental validity of HADS was assessed by the
hierarchical regression model using the MSIS-29 and relevant
demographic and disease-related factors as criterion variables.
Age, sex, EDSS, type of MS, duration of the disease were entered
into the first step, while the scores on HADS subscales were added
in the second step.
Statistical Analyses
Parameters of skewness and kurtosis were tested for HADS
and MSIS-29 scales. Results indicated acceptable values for
the parametric statistic. Mean value comparisons between our
study and published studies using HADS (Watson et al., 2014;
Pais-Ribeiro et al., 2018) in pwMS and differences between
relevant disease-related variables were carried using t-tests,
Chi-square test, Mann–Whitney Utest, Kruskal–Wallis test,
and variance analysis (ANOVA). The post hoc Bonferroni
test was calculated when using multiple comparisons. Levene’s
test was used to assess the equality of variances between
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groups. Correlation analyses were conducted using Pearson’s r
coefficient and Spearman rank-order correlation (ρ). Descriptive
statistics of relevant participants’ characteristics and applied
scales were summarized by N, percentage, mean and standard
deviations, median, and interquartile range. Psychometric
properties were examined by estimating internal consistency,
factor structure, convergent, concurrent, and incremental validity
of the HADS. In all calculations, a p-value of <0.05 was
considered statistically significant. Data analysis was performed
using the software Statistica 12.
RESULTS
Overview Results
The demographic characteristics, disease-related variables, and
mean results on self-rating scales (HADS and MSIS-29) of pwMS
and healthy subjects are shown in Table 1. No significant sex
(χ2= 0.05, p= 0.82, p>0.05) and age (t=4.84, df = 1390,
p>0.05) differences were found between pwMS and control
subjects. The scores on HADS depression (t=2.34, df = 177,
p<0.05) and MSIS-29 physical (t=2.94, df = 177, p<0.01)
subscales varied significantly by MS type in pwMS. People
with RRMS type (MeanHADSD= 7.4; MeanMSISPHYS = 43.9)
were less depressed and had better physical health than people
with SPMS (MeanHADSD= 10.0; MeanMSISPHYS = 55.9)
and PPMS (MeanHADSD= 10.1; MeanMSISPHYS = 56.4). For
women, HADS scores on depression subscale varied significantly
with MS type. The women with RRMS were less depressed
[χ2(df =3)= 8.81; p<0.05] than women with SPMS and PPMS.
However, the sex differences were found in pwMS in achievement
on the HADS depression subscale, indicating that the male
participants have a higher depression score than females with MS
(t=2.10, df = 177, p<0.05). Further, in pwMS, significant
differences were found between different age groups (19–34; 35–
39; and 40–75 years) for HADS depression subscales (F= 12.34;
p<0.001) and MSIS-29 physical impact subscale (F= 12.16;
p<0.001). Post hoc results suggest an increase in depression
and poorer physical health in older pwMS than younger pwMS
(pyounger vs.older <0.001; pmidle age vs.older = 0.04; p<0.05;
pmidle age vs.younger = 0.04; p<0.05).
Further, the participants who suffer from MS for a more
extended period (more than 11 years) have poorer physical
health on the MSIS-29 than those who are younger and suffer
from MS for a shorter period, less than 5 years (F= 3.29,
p<0.05). Furthermore, when levels of physical health and
depression were compared for types of MS (1-participants with
RRMS; 2-participants with other types of MS/SPMS, PPMS,
MS type not provided), a significant difference was also found
(tdepression = 2.34, df = 177, p<0.05; tphysical =2.54, df = 177,
p<0.001). Participants with RRMS had better physical health
and were less depressed than people with SPMS, PPMS, and those
who did not provide information on MS type.
Table 2 presents the score classification percentages of HADS
anxiety and depression subscales for pwMS and control subjects.
According to score classification for the HADS depression
subscale, 49.8% of the pwMS exhibited a score of 8 compared
to 20.3% of control subjects. For HADS anxiety score, 58.6%
of pwMS presented a score 8, compared to 34.3% of control
subjects. Moreover, based on the score of 11, for the HADS
depression subscale, 27.9% of pwMS exhibited moderate or
severe depression compared to 7.4% of control subjects. For
the HADS anxiety subscale, 35.7% of pwMS presented a score
11 compared to 13% of control subjects. The prevalence of
depression in pwMS seems to be higher in comparison to anxiety.
Psychometric Properties of the Hospital
Anxiety and Depression Scale (HADS)
Internal Consistency
Expressed by Cronbachs Acoefficients, both HADS subscales
(αHADSA= 0.82 to αHADSD= 0.83) and MSIS-29 subscales
(αMSISPHYS = 0.82 to αMSISPSY = 0.81) had excellent internal
consistency. Values for both HADS and MSIS-29 scales are
considered indicative of good reliability. Inter-item correlations
for HADS and MSIS-29 scales were >0.3, meaning that all items
on each subscale correlate very well with the scale overall.
Factor Analysis of the Hospital Anxiety and
Depression Scale (HADS)
Indicated by almost all obtained fitting parameters except for a
slightly higher ratio between Chi-square and corresponding df
(Kenny, 2020), CFA confirmedthe original structure of the HADS
in general (Figure 1 and Table 3). Namely, HADS, as expected,
shows a primarily two-factor structure (separate dimensions of
anxiety and depression) with mutually significantly correlated
factors. HADS-A subscale explained 18.66% of factor variance
and with HADS-D subscale 21.85% of the variance. The CFA
for the one-factor solution was also reported (Table 3), but all
fit indices support the retention of the two-factor solution. The
Steiger Lind RMSEA index was used as the main and most
commonly used criteria for accepting models. Cut-off RMSEA
TABLE 3 | Fit indices for one-factor and two-factor model of HADS (CFA).
One-factor
solution
Two-factor
solution
ML Chi-square 752.03 (df = 77) 128.315 (df = 28)
RMS standardized residual 0.059 0.024
Steiger Lind RMSEA 0.107 0.051
McDonald non-centrality index 0.643 0.93
Rms, root mean square; Rmsea, root mean square error of approximation; Ml,
maximum likelihood.
TABLE 4 | Pearson correlation coefficient for HADS and MSIS-29 scale (N= 179).
HADS-A HADS-D MSIS-29 PHYS MSIS-29 PSY
HADS-A 0.54** 0.33** 0.69**
HADS-D 0.54** 0.61**
MSIS-29 PHYS 0.57**
MSIS-29 PSY
**p <0.01; HADS-A, HADS Anxiety subscale; HADS-D, HADS Depression
subscale; MSIS-29 PSY-MSIS-29 Psychological subscale.
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FIGURE 2 | Box plots showing medians and interquartile range of HADS scores in pwMS and control subjects. HADS-A, HADS Anxiety subscale; HADS-D, HADS
Depression subscale.
value of <0.05 indicates a “close fit, and that <0.08 suggests
a reasonable model–data fit (e.g., Browne and Cudeck, 1993;
Jöreskog and Sörbom, 1993).
Convergent Validity of the Hospital Anxiety and
Depression Scale (HADS)
Convergent validity was demonstrated by the correlations of
the HADS subscales and the MSIS-29 subscales (Table 4) for
pwMS. HADS anxiety and depression subscales have a significant
moderate correlation (r= 0.54; p<0.001). Moreover, both HADS
subscales are correlated with MSIS-29 subscales, noting that the
correlations of HADS subscales are higher with the psychological
MSIS-29 subscale (r= 0.61–0.69; p<0.01) compared to the
physical MSIS-29 subscale (r= 0.33–0.54; p<0.01). Correlation
coefficients between HADS subscales and MSIS-29 subscales
indicate weak and moderate correlations.
Concurrent Validity
Concurrent validity was demonstrated by differences between
MS and control subjects. HADS mean values for pwMS were
significantly higher (Mann–Whitney Utest; zanxiety = 6.98,
p<0.01; zdepression = 8.588, p<0.01) than those reported in
control subjects (Figure 2). A non-parametric test was done
because Levene’s test for homogeneity of variances was significant
(both HADS-A and HADS-D). Further, compared to the results
of the current study with Watson et al. (2014) and Pais-Ribeiro
et al. (2018), depression and anxiety were not equally represented
(Table 5). The results on both subscales were significantly higher
in our sample than those presented by Pais-Ribeiro et al. (2018),
and the difference is significantly more pronounced when it
comes to HADS-D. Compared to Watson et al. (2014), there were
no significant differences in depression levels, while the difference
in anxiety exists (small effect size).
Receiver operating characteristic analysis (Table 6) indicated
that for the HADS-A, the highest value of the Youden Index
(J= 0.245) was obtained for a cut-off point of >7 and the HADS-
D at the cut-off point of >6 (J= 0.328). For the HADS-A, the
statistically significant AUC was 0.664 (p<0.001) with a 95%
confidence interval of 0.635–0.692. For the HADS-D, AUC was
0.702 (p<0.001) with 95% confidence interval 0.675–0.728.
Both parameters (Jand AUC) indicate that the HADS-A and
the HADS-D have a significant diagnostic validity for group
differentiation.
Incremental Validity
Table 7 represents the results of multiple hierarchical regression
analyses and the incremental validity of the HADS. Results
indicate whether HADS-A and HADS-D contribute to the
explanation of MSIS-29 variance (incremental validity) in
relation to some examined sociodemographic variables,
MS type, and EDDS.
For the physical impact on the MSIS-29, the first set of
predictor variables (age, sex, EDSS, MS type, and disease
duration) only sex had a significant βcoefficient. Step 2,
which included HADS subscales, revealed that these variables
TABLE 5 | The HADS results from the present study and comparisons between
published studies.
HADS-A HADS-D
Present study
N= 179
Mean (SD) 8.82 (4.11) 7.80 (3.99)
Watson et al.
(2014) N= 34
Mean (SD) 7.2 (5.4) 8.1 (5.9)
t1.99 0.37
df 211 211
p0.04; p<0.05 0.71; p>0.05
Pais-Ribeiro
et al. (2018)
N= 380
Mean (SD) 7.94 (4.31) 5.63 (4.01)
t2.29 5.98
df 557 557
p0.02; p<0.5 0.00; p<0.001
HADS-A, HADS Anxiety subscale; HADS-D, HADS Depression subscale.
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TABLE 6 | Psychometric properties of HADS-A and HADS-D at different cut-off
scores (ROC analysis).
Sensitivity (95% CI) Specificity (95% CI) +LR LR
HADS-A scores
6 65.92 (58.5–72.8) 54.44 (51.1–57.7) 1.45 0.63
7 58.66 (51.1–66.0) 65.39 (62.2–68.5) 1.69 0.63
8 48.04 (40.5–55.6) 73.38 (70.4–76.2) 1.81 0.71
9 43.02 (35.7–50.6) 80.94 (78.2–83.4) 2.26 0.70
10 35.75 (28.7–43.2) 87.19 (84.8–89.3) 2.79 0.74
11 27.37 (21.0–34.5) 90.25 (88.1–92.1) 2.81 0.80
12 20.11 (14.5–26.7) 93.32 (91.5–94.9) 3.01 0.86
HADS-D scores
6 61.45 (53.9–68.6) 71.37 (68.5–74.2) 2.15 0.54
7 49.72 (42.2–57.3) 79.58 (76.9–82.0) 2.43 0.63
8 43.58 (36.2–51.2) 85.39 (83.0–87.5) 2.98 0.66
9 35.20 (28.2–42.7) 89.19 (87.1–91.0) 3.26 0.73
10 27.93 (21.5–35.1) 92.49 (90.7–94.0) 3.72 0.78
11 21.23 (15.5–28.0) 96.30 (94.9–97.4) 5.73 0.82
12 12.85 (8.3–18.7) 98.70 (97.8–99.3) 9.87 0.88
+, LR likelihood ratio for a positive result; , LR likelihood ratio for a negative result;
CI, confidence interval.
contribute to the explanation of an additional 18% of physical
impact variance. Among these predictors, only HADS depression
had significant β, which is positive, meaning that the greater
depression is accompanied by greater physical impact (Table 7).
For the psychological impact on the MSIS-29, age, among
predictors included in the first step, significantly predicted
psychological impact, accounting for 13% of the variance.
Simultaneously, HADS depression and anxiety subscales entered
in the second step explained 40% of the psychological
impact variance. Anxiety and depression subscale significantly
contributed to the explanation of the criterion variable. For both
criterion variables (MSIS-29 physical and psychological impact)
HADS has been shown to have significant incremental validity
in the explanation of MSIS-29, especially when it comes to the
second criterion, MSIS-29 psychological impact. The additional
contribution of physical impact is 13%, and for psychological
impact, even 40%.
DISCUSSION
Anxiety and depressive disorders are among the most common
psychiatric illnesses highly comorbid with each other and
considered to belong to the broader category of internalizing
disorders (Kalin, 2020). More than 50% of the patients with
major depression have significant anxiety and were considered
to have anxious depression (Fava et al., 2004;Beijers et al.,
2019). When looking into a healthy population compared to
pwMS in terms of developing mood disorders, the risk of
depression, anxiety, and stress are higher in MS patients than
in healthy subjects (Pham et al., 2018). The etiology of MS
disease is not yet known and factors such as immune system
deficiency, genetic predisposition, lack of vitamin D, Epstein-Barr
virus, family background, geographical region, stress, and lifestyle
play a role in this disease (Dehghani and Kazemi Moghaddam,
2015). Besides mood disorders, relevant clinical symptoms of MS
include disturbances in motor functions (e.g., tremor, weakness,
and spasticity), sensory deficits (e.g., pain), visual impairments
(e.g., diplopia and optic neuritis), vascular dysfunctions, obesity,
and cognitive impairments (e.g., attention deficits, working
memory impairments, information processing). Karimi et al.
(2020) investigated 87 MS patients in Iran and showed that 47.1%
had moderate depression, 39.1% had moderate anxiety, and
44.8% had moderate stress. A study in Canada (Pham et al., 2018)
TABLE 7 | Multiple hierarchical regression analyses for the incremental validity of HADS and relevant variables on MSIS-29 subscales.
MSIS-29 PHYS MSIS-29 PSY
Step 1 Step 2 Step 1 Step 2
Predictors β β β β
Step 1 Age 0.07 0.05 0.37** 0.40*
Sex 0.32** 0.22* 0.16 0.01
Duration of the disease 0.17 0.10 0.11 0.01
Type MS 0.11 0.14 0.01 0.04
EDSS 0.05 0.08 0.05 0.09
Step 2 R20.19 0.13
F(5,80) = 3.71 p<0.001 F(5,80) = 2.50 p<0.04
HADS-A 0.14 0.20*
HADS-D 0.36** 0.54**
R20.37 0.54
F(7,79) = 6.52 p<0.001 F(7,78) = 13.00 p<0.001
1R20.18 0.40
F(7,79) = 11.18 p<0.001 F(7,78) = 34.36 p<0.001
HADS-A, HADS Anxiety subscale; HADS-D, HADS Depression subscale; MSIS-29 PHYS, MSIS-29 Physical subscale; MSIS-29 PSY, MSIS-29 Psychological subscale;
β, standardized regression coefficient; R2, coefficient of determination; 1R2, change in the coefficient of determination; *p <0.05, CI = 95%; **p <0.01, CI = 98%.
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showed 30% of MS patients suffered from anxiety, and 16.3%
were affected with depression. The results of a study in the
United States (Boeschoten et al., 2017) revealed 20.6% of MS
patients suffered from depression. A significant factor responsible
for MS relapses is stressful life events (Brown et al., 2005;
Stamoula et al., 2021). From a clinical point of view, it is therefore
recommended to monitor psychological constructs such as
depression, anxiety, and stress in pwMS (Glaser et al., 2019).
According to a literature search, it is evident that scales such
as DASS-21 (Lovibond P.F. and Lovibond S.H., 1995;Lovibond
S.H. and Lovibond P.F., 1995) and HADS (Zigmond and Snaith,
1983) were mainly used for detecting depression, anxiety, and
stress in pwMS. Recently psychometric properties for DASS-
21 were published in pwMS (Rogi´
c Vidakovi´
c et al., 2021),
while psychometric properties for HADS in pwMS have been
available on different languages from earlier years (Honarmand
and Feinstein, 2009;Atkins et al., 2012;Watson et al., 2014;
Marrie et al., 2018;Pais-Ribeiro et al., 2018). What it has to bear in
mind is that HADS was not initially developed in pwMS. Instead,
it is created as a self-report rating scale for evaluating depression
and anxiety in patients with a general medical condition, but can
be regarded as a useful screening instrument to detect potential
psychological disturbances in pwMS (Honarmand and Feinstein,
2009;Watson et al., 2014).
By exploring the factor structure of the HADS, the present
study confirmed a two-dimensionality of the HADS in a large
community and patient samples (Mykletun et al., 2001;Norton
et al., 2013), as well as in samples of pwMS (Pais-Ribeiro et al.,
2018). Internal consistency, using Cronbachs alpha, for the two
dimensions was good, 0.80 for anxiety and 0.81 for depression
in the study of Pais-Ribeiro et al. (2018), while in the present
study, the Cronbachs alpha, for the two dimensions was also
good, 0.82 for anxiety and 0.83 for depression. A systematic
review study conducted by Cosco et al. (2012) pointed out that
previous findings on the latent structure of the HADS have
been somewhat inconsistent factor structure with 25 of the
50 reviewed studies revealing a two-factor structure, 5 studies
revealing unidimensional, 17 studies revealing three-factor, and
2 studies revealing four-factor structures. According to the
findings of Cosco et al. (2012), different latent variable analysis
methods gained correspondingly different structures: exploratory
factor analysis studies revealed primarily two-factor structures,
CFA studies revealed primarily three-factor structures, and
item response theory studies revealed primarily unidimensional
structures. Regarding factor structure of HADS in MS research,
Pais-Ribeiro et al. (2018) conducted CFA and exploratory factor
analysis and provided support for the bifactor model. The present
study confirmed a two-factor structure, and several fit indices that
were used support the retention of the two-factor solution.
Parameters of ROC analysis indicate that the HADS-A and
the HADS-D have a significant diagnostic validity for group
differentiation. Although the HADS depression scale shows
slightly better concurrent validity than HADS anxiety, the
accuracy of both measures to distinguish emotional disorder
is not very high. Therefore, the present study provided data
for the optimum cut-off score of >7 for HADS-A and a cut-
off score of >6 for HADS-D. The cut-off score of >7 for
HADS-A is similar to findings of Nicholl et al. (2001) and
Honarmand and Feinstein (2009), while the cut-off score of >6
for HADS-D was slightly lower compared to other studies using
HADS in pwMS (Honarmand and Feinstein, 2009;Watson et al.,
2014). When looking into studies using HADS in different
samples of patients (not including pwMS) like cancer patients
or psychiatric illnesses, the sensitivity and specificity of HADS-
A and HADS-D with a threshold of 8+were most often found
to be in the range of 0.70–0.90. The variation in optimal
cut-off values and sensitivity and specificity might be due to
differences in HADS translations used, samples and procedures
in administration, and method analysis of HADS (Bjelland et al.,
2002;Cosco et al., 2012).
Both HADS subscales had excellent internal consistencies and
good convergent validity expressed by inter-correlations between
the HADS and the MSIS-29 subscales. Results of regression
analysis suggest that the HADS showed incremental validity in
relation to age, sex, MS type, and EDSS.
Further, we have to acknowledge several limitations of the
study. The possible limitation of the study would be the time of
conducting the survey. Namely, the study was conducted during
the COVID-19 pandemic (1 year after the first lockdown in
Croatia) and a series of earthquakes that hit Croatia, causing
specific problems regarding the governmental social distancing
measures and collective trauma effects. Although the study was
conducted during COVID-19 disease and strong earthquakes
in the eastern part of Croatia (Perinja and Zagreb region), we
assume that COVID-19 and earthquakes did not significantly
affect the HADS results in pwMS and control subjects. Gali´
c
et al. (2020) assessed depression and anxiety in the general
population with HADS 3 weeks after the first registered cases
of COVID-19 in Croatia. In line with the study of Gali´
c et al.
(2020), observed values of depression were similar to the results
of control subjects in the present study, with less pronounced
anxiety in the present study. Further, a comparison with the
previous studies shows a higher prevalence of depression and
anxiety in pwMS independently of specific external factors not
related to the MS disease (Dahl et al., 2004;Karimi et al., 2020).
Another possible limitation is that HADS was not used as a
paper–pencil assessment but rather as an online survey. The
advantage of the online survey was the possibility to reach a
higher number of MS patients. The paper–pencil assessment of
HADS would last longer since we could access the MS patients
once a week at the University Hospital of Split during the
regular control examinations at the Department of Neurology.
An approximate number of MS patients that we could reach
weekly would be approximately three to five. The second
problem was that during regular control visits at the Department
of Neurology, the MS patients are not registered at specific
hours but are intermingled with other patients having other
neurological diseases. Therefore, we believe by conducting an
online survey, we reached a satisfactory number of MS patients in
a shorter period and got a more appropriate sample size avoiding
possible erroneous findings which might occur in the process of
determining psychometric properties of the HADS, in particular
the identification of the correct structure of the questionnaire
(e.g., number of dimensions and items in each dimension).
Frontiers in Psychology | www.frontiersin.org 8November 2021 | Volume 12 | Article 794353
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Jerkovi ´
c et al. HADS Psychometrics
CONCLUSION
The HADS is shown to be a reliable and valid patient-self report
scale that captures meaningful psychological and physical clinical
correlates of MS disease.
DATA AVAILABILITY STATEMENT
The original contributions presented in the study are included
in the article/Supplementary Material, further inquiries can be
directed to the corresponding author.
ETHICS STATEMENT
The studies involving human participants were reviewed and
approved by the School of Medicine, University of Split. The
patients/participants provided their written informed consent to
participate in this study.
AUTHOR CONTRIBUTIONS
AJ: conceptualization, data curation, formal analysis,
methodology, project administration, resources, and
writing original draft. APr: supervision, methodology,
and writing original draft. MM, KD, and ZÐ: supervision and
writing original draft. JV, AM, A ´
C, VK, and LK: methodology,
project administration, and resources. APo: methodology and
project administration. MRV: conceptualization, data curation,
formal analysis, methodology, project administration, resources,
supervision, and writing original draft. All authors contributed
to the article and approved the submitted version.
SUPPLEMENTARY MATERIAL
The Supplementary Material for this article can be found
online at: https://www.frontiersin.org/articles/10.3389/fpsyg.
2021.794353/full#supplementary-material
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MINI REVIEW
published: 01 February 2022
doi: 10.3389/fpsyg.2022.814458
Edited by:
Casandra Isabel Montoro,
University of Jaén, Spain
Reviewed by:
Nieves Valencia Naranjo,
University of Jaén, Spain
Muhammad Nawaz Tunio,
Greenwich University, Pakistan
Margarida Pocinho,
University of Madeira, Portugal
*Correspondence:
Huaruo Chen
hchen164@jh.edu
Specialty section:
This article was submitted to
Psychology for Clinical Settings,
a section of the journal
Frontiers in Psychology
Received: 13 November 2021
Accepted: 10 January 2022
Published: 01 February 2022
Citation:
Wen Y, Li K, Chen H and Liu F
(2022) Life Design Counseling:
Theory, Methodology, Challenges,
and Future Trends.
Front. Psychol. 13:814458.
doi: 10.3389/fpsyg.2022.814458
Life Design Counseling: Theory,
Methodology, Challenges, and
Future Trends
Ya Wen1, Kai Li2, Huaruo Chen3,4*and Fei Liu3,5
1School of Teacher Education, Nanjing Xiaozhuang University, Nanjing, China, 2School of Philosophy, Wuhan University,
Wuhan, China, 3School of Education Science, Nanjing Normal University, Nanjing, China, 4Center for Research and Reform
in Education, Johns Hopkins University, Baltimore, MD, United States, 5School of Education Science, Huaiyin Normal
University, Huaian, China
With the rapid development of society and the dramatic change of environment,
previous career counseling focusing on personal choice has been difficult to meet
individuals’ needs. It is very meaningful and valuable to introduce the ideology of Life
Design Counseling (LDC). In this mini review, we introduce and analyze the theory and
methodology of LDC. This review puts forward challenges in the field of LDC, including
the lack of attention to clients from multiple backgrounds and professional counselors,
the lack of diversified methods in the intervention process, and the lack of diversified
research. The theoretical research, practical research, and the integration of theory and
practice of LDC still need to be further concerned by researchers.
Keywords: life design counseling, theory, methodology, challenges, trends
INTRODUCTION
The current living environment changes faster than ever before, resulting in the trend of personal
career development from static and linear to dynamic and nonlinear. Personal future work
and employment are becoming more and more unstable in this world dominated by Volatility,
Uncertainty, Complexity, and Ambiguity (VUCA) (Canzittu, 2020). Savickas et al. (2009) proposed
the third paradigm of career intervention, which is called the “Life Design Paradigm, to deal with
the drastic changes in the current social environment (Savickas et al., 2009). Based on this paradigm,
Life Design Counseling (LDC) refers to a kind of counseling that helps clients define their career
as a story, narrate their personal working life with continuity and coherence, discover life themes,
create life meaning, construct identity, formulate adaptive actions, and pursue the life expected by
individuals (Savickas and Pouyaud, 2016;Venter and Maree, 2020;Wong, 2021). LDC aims to help
clients explore possible careers, reshape personal narrative identity through meaning construction,
clarify self-concept, establish a life purpose and create a meaningful life (Savickas, 2012;Wehmeyer
et al., 2018;Wen et al., 2020a). Compared with other career counseling methods, LDC provides
a new perspective for individual or group counseling to formulate long-term career planning and
has the potential for cross-cultural research (Savickas et al., 2018). Therefore, this mini review aims
to introduce the theory, methodology, challenges, and future trends of LDC, so that researchers
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Wen et al. Life Design Counseling
engaged in this specific field can more effectively understand
and master the research trends and future development trends
in this field, and expand the application scope of LDC. In order
to ensure the quality of the literature, LDC was used as the
search term to conduct a full search on the Web of Science
in this study. The search scope is limited to English articles.
Specifically, the literature search was conducted from January
2000 to November 2021. In addition, this study only included
standard research papers, excluding news, conferences and other
types of documents.
WHAT IS LIFE DESIGN COUNSELING?
Life Design Counseling is a kind of career intervention,
which originates from Guichard’s self-construction theory and
Savikcas’s career construction theory (Guichard, 2009;Maree,
2019). After entering the 21st century, individuals need to
face more complex social relationships and work environments,
especially to design their own lives. The premise of designing life
is self-construction. In response to the above changes, Guichard
put forward self-construction theory, which mainly points out
that self-construction is a subjective identity system of past,
present, and future (Guichard, 2009;Guichard et al., 2012). With
the development of career theory, in order to explore career from
a more integrated perspective, Savickas et al. proposed Career
Construction Theory. Career Construction Theory attempts to
look at individual career from an overall perspective, aiming
to answer three core questions, namely “What kind of career
will be established?” “How to construct a career? and “Why
build a career?” (Savickas, 2008;Savickas and Pouyaud, 2016).
Specifically, “What kind of career will be established?” reflects
the relationship between personal interests, abilities, values and
career development from the perspective of social division of
labor (Rudolph et al., 2019). “How to construct a career?”
is manifested as the interaction between individuals and the
environment in the current mobile society and flexible work
organization, emphasizing that individuals reshape themselves in
reflection and cope with external challenges based on their career
adaptability. “Why build a career” is the fundamental issue of
Career Construction Theory, which truly reflects that individuals
regard their own careers as creating their own life stories and
strung the stories into a line around the theme of life. In general,
career is a macro narrative about the role of work in one’s life
which was defined in career construction theory. Both those two
theories involve social constructivism, emphasize the significance
of understanding and intervening narrative thinking in the
process of construction, and highlight the value of reflexivity
based on individual in-depth thinking of past and present
experience for individual behavior (Guichard, 2016b;Savickas,
2016). In short, whether it is the theory of Self-Construction
Theory or Career Construction Theory, reflexivity emphasizes
the formation of the individual based on current problems
to guide the next step in life. However, there are also some
differences between the two theories: self-construction theory
focuses on the survival direction of individuals, emphasizes
the dynamic development of individuals based on subjective
identity formal system (SIFS), and constructs self-concept in
the social environment (Guichard, 2016a). LDC based on Self-
Construction Theory adopts a relatively open interview form,
pays attention to the role of clients’ self-construction in meaning,
identity, and future planning, focuses on helping clients reshape
their narrative identity, and projects the new possibility of
self-construction into their career role.Therefore, it is more
suitable for teenagers or emerging adults (Di Fabio, 2014;
Guichard, 2016a). While Career Construction Theory points
out that career can be a dynamic construction process, and
subjective self and external world can adapt to each other.
LDC based on Career Construction Theory helps clients to
focus on their own career through highly structured interviews
and narration around personal interests and models, increase
their control over their future career positioning, stimulate
their curiosity to explore possible self and possible future
scenes, and build their confidence in career development
(Maree, 2014). Counselors help clients reconstruct the meaning,
identity, and intention of life, as well as find the life theme
and answer the meaning of life, which is more applicable
for mature adults (Guichard, 2016a;Hartung and Santilli,
2018).
In summary, LDC means that counselors help clients give
meaning to their lives and social relationships through various
stories and find their understanding of life themes as well
throughout this process (Cardoso et al., 2016b;Wong, 2021).
LDC can be regarded as an intervention method combining
Self-Construction and Career Construction, which reflects the
integration of personal personality characteristics, development
process and life story (Di Fabio and Maree, 2012;Wong, 2021).
LDC emphasizes that individuals reflect on themselves and
construct meaning based on continuous narration by considering
the overall impact of the surrounding system, so as to generate
expectations and motivation for the future (Cardoso et al., 2016a;
Venter and Maree, 2020). Specifically, LDC focuses on people’s
interaction between themselves and the environment, establishes
life trajectory through narration, and considers educational
investment, work and life roles and meaning in life, so as to deal
with the uncertainty of the future (Nota et al., 2016;Cardoso et al.,
2019). In short, life-long, holistic, contextual and preventive are
important characteristics of LDC (Savickas et al., 2009;Venter
and Maree, 2020). LDC aims to help clients reshape their lives
through narration based on personal needs, interests, abilities and
experiences (Maree, 2020b). Clients can rewrite their narrative
identity, clarify their self-concept, establish life goals and explore
possible life tracks (Savickas et al., 2009;Cardoso et al., 2019;
Maree, 2020a).
HOW TO USE LIFE DESIGN
COUNSELING?
Life Design Counseling is an emerging method of career
intervention. The research on LDC is mainly divided into three
categories: process intervention, process evaluation, and results
evaluation. According to these three categories, some pioneer
scholars have made a comprehensive evaluation system of LDC.
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Wen et al. Life Design Counseling
Process Intervention
The process intervention on LDC mainly includes Guichard’s Life
and Career Design Dialogues (LCDD) and Career Construction
Interview (CCI) (Pouyaud et al., 2016;Barclay et al., 2019;Wong,
2021). My Career Story (MCS) is a written expression tool
developed based on CCI (Hartung and Santilli, 2018). In addition,
Interpersonal process recall (IPR) is an important auxiliary
method of LDC that is usually used to explore the experience
of clients in the process of counseling dialogue (Cardoso et al.,
2016a). Written exercises, career collages, and career portfolios
are often combined with CCI creatively(Barclay, 2019).
Specifically, LCDD is a psychological counseling and
intervention method which focuses on the dialogue between
client and counselors to help the client understand the self-
construction of subjective identity (Guichard, 2016b;Pouyaud
et al., 2016). The dialogue took place in one-on-one interviews
between clients and counselors lasting several weeks (Pouyaud
et al., 2016). CCI designed by Savickas (2011) is widely used
which is usually divided into three sessions (Cardoso et al., 2018).
The first session is Career Construction Interview (Cardoso
et al., 2018). After the client and counselor discussed their
expectations for intervention, LDC focused on five aspects: role
models; favorite magazines, TV programs, etc.; current favorite
story; Motto to oneself; early recollections (Taylor et al., 2016;
Taylor and Savickas, 2016). For example, clients are required
to tell real or fictional role models. Counselors can discuss the
similarities and differences of role models with clients, so as
to reflect the clients’ self-concept, including how to treat their
own identity and values. Interested magazines and TV programs
reflect the relationship between clients’ interests and working
environment. During the second session, counselors assist the
client in constructing a story, which aims to provide continuity
for the fragments of the client’s life in the previous stage. In the
third session, the focus of the intervention is to assist the client to
connect life themes with career planning (Cardoso et al., 2018).
As an auxiliary means, IPR aims to explore the experience of
clients in the interview process. Clients are required to watch the
video replay of the interview. Counselors need to ask clients how
to experience the important moment in the video, help clients
analyze the emotional experience of the important moment, and
promote the reflection of clients in the process of interpersonal
interaction with counselors. In addition, in the process of CCI,
clients can create career collages based on paper pasting. The
counselor assists the client in creating “a collage” and takes the
collage as a tool for meaning construction. The client describes
what the client attaches importance to and desires in his life
by pasting images representing personal models, pictures of
his favorite magazines and TV programs, so as to help the
client imagine and design the future and obtain the power to
realize the future.
Process Evaluation
The purpose of the process evaluation of LDC is to find out
what changes have taken place in the counseling process. The
process evaluation of LDC can be divided into the qualitative
evaluation and quantitative evaluation. The focus of qualitative
assessment is whether the clients have changed and what
changes have taken place in the LDC process. To analyze the
changes of clients, researchers also used quantitative methods to
process evaluation.
Specifically, Innovative moments (IMs) are usually used
as a sign of changes in clients (Cardoso et al., 2020). At
present, for the qualitative evaluation of IMs in LDC, the
representative is the innovative moments coding system (IMCS)
developed by Cardoso et al. IMCS is a tool for tracking
IMs. IMs in the counseling process reflects the non-linear
change of the clients, which is often accompanied by the
circular ambivalence reflecting the self motivation of the clients.
Researchers often use IMCS together with qualitative tools
to evaluate the changes in clients’ ambivalence during the
counseling process. Representative tools include Return to the
Problem Coding System (RPCS) and Ambivalence Coding
System (ACS) (Da Silva et al., 2020).The former refers to that
the client immediately returns after generating the innovation
moment and re emphasizes the problematic self narration, which
weakens the significance of IM. The latter is often used to identify
clients who immediately turn to problematic self narration after
describing the moment of innovation.
Many researchers have conducted comprehensive research
on LDC combined both qualitative evaluation and quantitative
evaluation. Giving full play to the advantages of qualitative
evaluation and quantitative evaluation, some scholars also try to
develop a comprehensive evaluation of LDC. For instance, Maree
Career Matrix (MCM) is used to measure the clients’ interest
and confidence in the successful pursuit of a variety of careers
(Maree and Taylor, 2016). MCM with 19 categories showed
good psychometric characteristics during the standardization
process. In terms of the comprehensive evaluation, MCM
shows good psychometric characteristics in the standardization
process (Morgan and Ferreira, 2019). In addition, Maree
(2007) developed the South African version of the qualitative
questionnaire of Career Interest Profile (CIP) (Di Fabio and
Maree, 2013), trying to construct narrative information from
individual career stories.
Results’ Evaluation
Results’ evaluation is to compare the status of clients after
counseling with those before counseling to find out the
differences. From the aspect of the quantitative evaluation,
researchers found that the clients’ career uncertainty and
career pending decreased, while their preparation for academic
specialty and career decision-making, professional self-efficacy,
career planning, professional identity, and professional control
trajectory, life satisfaction increased (Barclay and Stoltz, 2016a,b;
Nota et al., 2016;Cardoso et al., 2018;Di Maggio et al., 2021b).
The above research shows that through the intervention of
LDC, individuals can more accurately evaluate themselves, gather
occupational information, select goals, make plans for the future,
have more certainty about their career development, and improve
their evaluation of their own quality of life. Still, there exist some
discrepancies among different research. Some scholars found that
career adaptability improved, and others assert that this variable
did not change (Cardoso et al., 2018;Rudolph et al., 2019). These
studies suggest that the impact of LDC on an individual’s career
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TABLE 1 | How the LDC is operated.
Number Category Illustration
1 Process
Intervention
Main methods 1. Career Construction Interview
(CCI)
2. My Career Story (MCS)
3. Life and Career Design
Dialogues (LCDD)
4. Interpersonal process recall
(IPR)
Additional ways 1. Written Exercises
2. Career Collages
3. Career Portfolios
2 Evaluation Process Evaluation 1. Innovative Moments Coding
System (IMCS)
2. Return to the Problem Coding
System (RPCS)
3. Ambivalence coding system
(ACS)
4. Career Interest Profile (CIP)
5. Maree Career Matrix (MCM)
Results’ Evaluation 1. Vocational Certainty Scale
(VCS)
2. The Career Maturity
Inventory–Form C (CMI-FC)
3. Career Decision Self-Efficacy
Scale–Short Form (CDSE-SF)
4. The Career Adapt-abilities
Scale(CAAS)
adaptability is a complex issue, and more studies are still needed
to examine the effects of interventions in more detail. In general,
how the LDC is operated can be shown in Table 1.
WHAT ARE THE CHALLENGES OF LIFE
DESIGN COUNSELING?
Lack of Attention to Clients From
Multiple Backgrounds and Professional
Counselors
On the one hand, LDC needs to pay attention to the psychological
needs of more diverse cultural background groups, because the
counseling needs of different types of clients are unique and
different (Sampaio et al., 2021). Scholars have accumulated some
group LDC research in the early stage, such as the research
on college students (Pordelan et al., 2018), middle and high
school students (Nota et al., 2016), Italian entrepreneurs (Di
Fabio and Maree, 2012), etc. However, these groups are still
limited, and the research group based on LDC needs to be
further expanded. For example, LDC may become an effective
way to help vulnerable groups develop their career. On the
other hand, the effective implementation of LDC is inseparable
from professional counselors. The lack of professional LDC
counselors may bring the following negative effects: it is difficult
for clients and counselors to establish a working alliance
and sort out ambivalence through coherent narration and re
conceptualization, then it is hard for clients to draw a life portrait
and formulate a plan for moving forward (Cardoso et al., 2016a,b;
Barclay, 2019). In addition, long-term intervention is an
important guarantee for the effectiveness of LDC (Di Fabio
and Maree, 2012;Nota et al., 2016). If there is no professional
LDC counselors, the continuous participation of clients may be
reduced (Barclay and Stoltz, 2016a). Therefore, in the practice of
LDC, it is particularly necessary to cultivate a large number of
professional counselors who are familiar with the operation mode
of LDC.
Lack of Diversified Methods in the
Intervention Process
The intervention methods for LDC are still not diversified
enough. The typical intervention methods for LDC only include
CCI, MCS, LCDD, etc. The combination of LDC and other
practical methods can give better play to the function of career
counseling. For example, in view of the close relationship between
career and psychosocial issues, how to combine LDC and
psychotherapy to solve more complex life problems of clients
is a topic worthy of attention (Cardoso, 2016). In addition, the
creative use of LDC is still a problem that needs the attention
of career practitioners. Specifically, how to combine intervention
methods of methods with art (e.g., painting) to help clients better
narrate, reconstruct their own life themes, and find the power
for change is a issue that needs to be solved urgently (Barclay,
2019). LDC practitioners need to creatively develop intervention
methods, so that they can be applied to a wider range of
clients, help them express themselves through narration, generate
motivation for substantial change, discover life themes, find life
goals and plan their own future. In general, counselors need
to creatively and flexibly use CCI and other major intervention
methods to help clients build their future careers.
Lack of Diversified Evaluation Methods
Scholars lack research on the diversification of LDC in the
existing research, especially in its evaluation method. First, the
evaluation object is not comprehensive enough. Current research
mainly focuses on the counseling effect on clients in LDC,
while neglecting the different influence from counselors who
plays the same important roles as well. Although clients are
an important part of the counseling subject, the evaluation of
counselors has a specific value, and researchers lack attention
to the growth of counselors’ counseling ability (Storlie et al.,
2017). The second is the evaluation method: the current research
mainly includes qualitative evaluation, quantitative evaluation,
and comprehensive evaluation (McMahon et al., 2003;Di Fabio
and Maree, 2013). However, these evaluation methods are limited
and the evaluation content is not rich. It seems that the evaluation
of LDC can be further improved by referring to other counseling
and evaluation methods as well as other evaluation contents.
FUTURE RESEARCH TRENDS
Although LDC is a relatively new way of career counseling and
opens up new ideas for counselors, the theoretical research,
practical research, and the integration of theory and practice
of LDC still need to be further concerned and promoted by
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TABLE 2 | Future research trends of LDC.
Number Item
1. Strengthen the in-depth
study of clients and
counselors
1. More vulnerable groups
2. The general population with finer classification
3. Improve the quality of counselors
4. Increase the number of counselors
5. Create a standardized process for counselor
training
6. Establishment a working alliance between client
and counselor
2. Extended intervention
Methods
1. Pay attention to the cutting-edge trends in the
field of counseling methods
2. Combine the methods in LDC with art therapy
methods
3. Online and offline intervention
3. Improve intervention
evaluation methods
1. Learn from other disciplines and develop more
process assessment tools, such as big data,
NVivo, etc.
2. From the perspective of personality
characteristics, such as career optimism,
mindfulness, gratitude, benevolence, etc.
3. From the perspective of organizational contexts,
such as decent work, job satisfaction, job
burnout, thriving at work, reemployment, etc
4. Clarify the relationship between counselors and
researchers in the evaluation process and focus
on the evaluation of counselors
researchers. The main trends of future development of LDC are
shown in Table 2.
Strengthen the Needs Analysis of Clients
and the Professional Training of
Counselors of Life Design Counseling
Scholars need to create diversified counseling methods to
broaden the application scope of LDC. On one hand, scholars
especially need to pay more attention to the following groups:
(a) vulnerable groups, such as the unemployed, people with
disabilities, people who have experienced breakups or divorces,
cancer patients, aging Chinese parents who lose their only child,
patients with depression, survivors of family violence, refugees,
ex-offenders, solitary person, the bereaved and the low-income
people in remote areas (Nota et al., 2014;Li, 2018;Bergeron
et al., 2021;Di Maggio et al., 2021a;Maree, 2021) and (b) the
general population with finer classification, such as public or
private primary school students in different countries or regions,
middle school students from different regions and nationalities,
high school students with different school characteristics, college
students of different majors, workers of different occupations
(Cardoso et al., 2016a;Maree, 2020a). Researchers may help
these people achieve better career development by designing
diversified LDC studies. On the other hand, more professional
LDC counselors need to be trained, including improving the
quality of counselors, increasing the number of counselors,
and forming a complete and standardized process for training
counselors, to serve more people who need LDC help (Di Fabio
and Maree, 2012;Venter and Maree, 2020;Wen et al., 2020a).
Researchers and practitioners need to pay particular attention to
the formation and maintenance of a good relationship between
counselors and clients, because the establishment of a working
alliance between them is an important guarantee for effective
LDC (Cardoso et al., 2016a, 2021;Tian et al., 2020).
Increase Multi-Dimensional and
Diversified Intervention Process
Methods of Life Design Counseling
In order to solve the lack of diversified LDC intervention
methods, career counseling practitioners can try the following
paths. First, LDC counselors can integrate other counselor
theories with LDC and find the coincidence points between
some cutting-edge psychology and pedagogy theories and
LDC, so as to create a diversified counseling model and
serve more clients with different needs. For example, future
researchers can try to combine PERMA (Positive Emotions,
Engagement, Relationships, Meaning, Achievements) theory in
positive psychology with LDC, so as to jointly promote the
positive change of clients (Carreno et al., 2021). Second, the
existing LDC methods can be presented in a diversified and
creative way in order to promote the self-expression and
reflexivity of clients. Future career researchers and practitioners
can try to combine the methods in LDC with art therapy
methods such as painting, music, dance, and writing, so as
to serve a more diverse group of individual or group clients.
Last but not least, scholars may be able to conduct online and
offline LDC through computers, mobile phones, telephones, and
e-mails (Savarese et al., 2020;Carbone et al., 2021), and other
flexible forms and combined with other emerging psychological
counseling methods. In general, career practitioners need to
create diversified LDC intervention methods in the future to help
clients through narrative construction, deconstruction and joint
construction of their personal career stories, find the core life
theme, and carry out a meaningful life.
Strengthen the Research on the
Evaluation Objects and Methods of Life
Design Counseling
Future research on LDC needs to enhance the research on
the evaluation objects and methods of LDC. Strengthening the
research on the evaluation is mainly reflected in the following
three points: Firstly, researchers need to further broaden the
application scope of the above evaluation methods and also create
more process evaluation methods suitable for LDC because of
big data, Nvivo to serve a wider group (Alam, 2020;Wen et al.,
2020a). Secondly, in terms of personality characteristics, it should
be paid more attention to such things as the meaning of life,
mindfulness, and optimism (Ginevra et al., 2018;Wen et al.,
2020b). From the perspective of the organizational situation,
it should focus on exploring the influence mechanisms caused
by self and the outside world, such as professional identity,
job satisfaction, social support, and job burnout (Chen et al.,
2020;Shen et al., 2021). Finally, strengthen the research on
counselors in the evaluation of LDC. Scholars need to further
enrich the evaluation objects of LDC and pay attention to
the evaluation of counselors. Previous studies usually focused
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Wen et al. Life Design Counseling
on the evaluation of clients. However, it needs to pay more
attention to the uniqueness of counselors and the important
value of counselors’ personal growth to the counseling effect,
such as counselors’ cultural background, personality, value, and
helping counselor trainees’ personal growth and professional
development through supervision (Prosek and Michel, 2016). At
the same time, since researchers and counselors may be the same
group in some studies, future researchers need to further clarify
the responsibilities and authorities of counselors and researchers
in the LDC evaluation process (Tian et al., 2020).
CONCLUSION
Life Design Counseling is a new form of career counseling in the
VUCA era. The emergence and development of LDC are based
on Self-Construction Theory and Career Construction Theory.
At present, the use of LDC mainly includes process intervention,
process evaluation, and results evaluation. To sum up, this study
found some challenges of LDC, including lack of attention to
clients from multiple backgrounds and professional counselors,
lack of diversified methods in the intervention process, and lack
of diversified evaluation methods. Therefore, this study came up
with some suggestions about how to deal with those challenges
as follows: Firstly, facing the changeable environment, future
research should focus on strengthen the needs analysis of clients
and the professional training of counselors of LDC. Secondly,
for more individuals or groups to obtain career development
through LDC, it is necessary to increase the research on the multi-
dimensional and diversified intervention methods of LDC in
future research. Finally, future researchers need to pay attention
to strengthening the research on the evaluation objects and
methods of LDC to ensure further prove the effect of LDC on
individuals or groups.
AUTHOR CONTRIBUTIONS
All authors participated in the study design. YW and HC wrote
the first draft. KL and FL modified the manuscript.
FUNDING
This research was funded by Jiangsu Province General research
project of philosophy and Social Sciences in universities
(grant number 2021SJA0488), Jiangsu Province University’s
Advantageous Discipline Construction Project (grant number
PAPD), and China Scholarship Council Projects (grant
number 202006860031).
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Conflict of Interest: The authors declare that the research was conducted in the
absence of any commercial or financial relationships that could be construed as a
potential conflict of interest.
Publisher’s Note: All claims expressed in this article are solely those of the authors
and do not necessarily represent those of their affiliated organizations, or those of
the publisher, the editors and the reviewers. Any product that may be evaluated in
this article, or claim that may be made by its manufacturer, is not guaranteed or
endorsed by the publisher.
Copyright © 2022 Wen, Li, Chen and Liu. This is an open-access article distributed
under the terms of the Creative Commons Attribution License (CC BY). The
use, distribution or reproduction in other forums is permitted, provided the
original author(s) and the copyright owner(s) are credited and that the original
publication in this journal is cited, in accordance with accepted academic practice.
No use, distribution or reproduction is permitted which does not comply with
these terms.
Frontiers in Psychology | www.frontiersin.org 7February 2022 | Volume 13 | Article 814458
23
OPINION
published: 03 March 2022
doi: 10.3389/fpsyg.2022.856949
Frontiers in Psychology | www.frontiersin.org 1March 2022 | Volume 13 | Article 856949
Edited by:
Casandra Isabel Montoro,
University of Jaén, Spain
Reviewed by:
Dominika Kwasnicka,
SWPS University of Social Sciences
and Humanities, Poland
Jennifer Paternostro,
The University of Iowa, United States
Igor Marchetti,
University of Trieste, Italy
Radion Svynarenko,
The University of Tennessee, Knoxville,
United States
*Correspondence:
Robyn E. Metcalfe
robynm@uoregon.edu
Specialty section:
This article was submitted to
Psychology for Clinical Settings,
a section of the journal
Frontiers in Psychology
Received: 17 January 2022
Accepted: 07 February 2022
Published: 03 March 2022
Citation:
Metcalfe RE (2022) Open Science
Within Pediatric Medical and Mental
Health Systems: Practical
Considerations for Behavioral Health
Researchers.
Front. Psychol. 13:856949.
doi: 10.3389/fpsyg.2022.856949
Open Science Within Pediatric
Medical and Mental Health Systems:
Practical Considerations for
Behavioral Health Researchers
Robyn E. Metcalfe*
Department of Counseling, Family and Human Services, University of Oregon, Eugene, OR, United States
Keywords: research methods, open science, reproducibility, preregistration, pediatric psychology
INTRODUCTION
The open science movement is an epistemological movement toward increasing accessibility
of data and research processes in order to improve the quality and reproducibility of science
(Hesse, 2018). A number of practices have been proposed in association with open science,
including journal clubs, systems for project workflow, sharing code, sharing data, use of preprints,
pre-registering studies, open-access publishing, an increased focus on statistical power, and greater
transparency in data analysis documentation (Allen and Mehler, 2019; Kathawalla et al., 2021). In
particular, researchers promoting open science practices focus on the benefits to scientific inquiry
by improving reproducibility, improving public access to scientific findings, and allowing for more
active collaboration and building on previous work, among other benefits (Hesse, 2018).
As technology increasingly improves connection between researchers, the pressure to engage in
specific open-science practices, such as sharing raw data with other researchers, has increased. Still,
data sharing in psychological research remains relatively rare due to a range of potential barriers
(Houtkoop et al., 2018). Researchers identify practical concerns about the process of data-sharing,
concerns about anonymity of participants, and concerns about being credited on subsequent
research projects as specific concerns related to data-sharing (Cheah et al., 2015).
Further, implementation of open science practices has been uneven across settings, with
pediatric medical and mental health system-based research lagging behind other psychology
research contexts. Fewer than 10% of studies from these hospital-based settings engage in even low-
stakes open science practices such as publishing supplemental code or promptly publishing results
in clinical trials registries (Sixto-Costoya et al., 2020; Kadakia et al., 2021), let alone high-stakes
or potentially difficult-to-implement practices. This problem is compounded by low standards for
adherence to best practices by journals in these fields (Gardener et al., 2022). Despite clear potential
for clinical benefit to pediatric populations when open science practices are utilized (Rubinstein
et al., 2020), there has been little exploration or published discussion about how barriers are
perceived by researchers in these systems or discussion about how previously established solutions
to barriers might apply to these researchers.
Children and families within systemic pediatric medical or mental health systems are considered
sensitive populations, deserving of particular ethical consideration in research and clinical
processes (American Psychological Association, 2017), and their behavioral health data is often
sensitive and/or identifiable. Goodie et al. (2013) advise that, for sensitive populations, researchers
and other stakeholders should consider the balance between providing high quality, patient-
centered services while collecting sound scientific data and decreasing the likelihood of adverse
outcomes. Further, grant-funded research in pediatric medical and mental health systems is
often costly and high-stakes, leading to particularly robust discussion of risk-management for
24
Metcalfe Open Science Within Health Systems
participants in these settings (Wendler, 2006). These concerns
about open science practices by behavioral health researchers are
legitimate and worthy of serious consideration. Considerations
for engaging in open science practices in these settings may
be different than in other psychological research. Due to the
potential need for additional protections, consideration of open
science methods in the context of these populations is warranted.
FACTORS
Consideration: Protection of Participant
Privacy
Concerns about participant welfare rightfully concern behavioral
health researchers in pediatric settings who are considering open
science practices. Sharing research data may increase the risk
of compromising confidential information about participants.
While many of these risks are preventable, adequate protection
requires both preventative planning and clear informed consent
by participants (Alter and Gonzalez, 2018). Some research, such
as longitudinal studies or research that includes geographic
tracking, may be particularly difficult to de-identify without
compromising the research value of the dataset. Medical and
mental health data has long been known to be at particular
risk of re-identifying participants when combined with basic
demographic data (Sweeney, 2000). In pediatric settings, where
demographic information may include both children and their
parents or guardians, the potential to re-identify participants is
additionally heightened.
Data collected in medical or mental health settings also
likely falls under other legislation, such as the Health Insurance
Portability and Accountability Act (HIPAA) in the United States,
the General Data Protection Regulation (GDPR) in the European
Union, or the Personal Information Protection and Electronic
Documents Act (PIPEDA) in Canada, and any data-sharing plan
must consider this explicitly.
Actions for Researchers
Of course, researchers should ensure that sufficient processes
are in place to ensure participant safety and appropriately
document this with their Institutional Review Board. Researchers
should engage in robust risk-management strategies regardless
of whether or not they intend to share their data (e.g., data
encryption for personal health data, splitting datasets to separate
identifiable information from ID variables, etc.). Depending on
the types of information gathered by researchers, partial datasets
may be realistic for some projects, with only non-sensitive
data available for data sharing. Example repositories include
Open Science Framework (OSF), Mendeley Data, Figshare,
and Zenodo.
However, in the context of sensitive personal health data
that makes data sharing infeasible, researchers may also benefit
from a selective use of open science practices. For example,
in situations where data sharing is not feasible (e.g., due to
patient confidentiality concerns), researchers may still choose to
engage with other open science practices such as preregistration,
reproducible code, and preprints. Additionally, publishing
adequate summary statistics provides readers greater opportunity
to evaluate a research paper, particularly in contexts where
original datasets have not be shared. For example, in addition
to means and standard deviations, a researcher might choose
to publish variance-covariance matrices of all variables in their
work. Researchers may also choose to publish their statistical
script alongside research papers to improve reader confidence in
their results and facilitate researcher learning (Mair, 2016).
Kathawalla et al. (2021) identify the least difficult to most
difficult open science practices as: (1) Starting an open science
journal club, (2) Developing an open science-friendly project
workflow, (3) Posting pre-prints, (4) Using reproducible code,
(5) Sharing data, (6) Transparent manuscript writing, (7)
Preregistering research, and (8) Publishing registered reports.
Given that this list was not designed with protected health data
in mind, research in pediatric medical and mental health systems,
this difficulty order may be somewhat different, with data sharing
likely causing the most significant concern, due to the potentially
sensitive nature of these datasets. Even in cases where no data
sharing is feasible, researchers can likely engage in some of the
other open science practices endorsed by Kathawalla et al. (2021).
Consideration: Propriety of Information
Data collected in pediatric medical and mental health settings
are often collected at great monetary and temporal expense.
Researchers in these settings may intend to produce a large
number of publications with a single dataset and worry that
procedures such as data sharing may result in reduced ability to
maximize their collected materials for their own research output.
Concerns about the ability to adequately utilize one’s own dataset,
procedure, or planned analyses before opening it up to other
researchers are valid.
Actions for Researchers
In addition to choosing some of the other open science
practices discussed above, researchers may consider using project
management tools that enable timelocks (e.g., preregistering a
hypothesis and not publicly releasing it until there has been
sufficient time to complete all relevant work) to avoid the
possibility of getting “scooped, a colloquial term referring to
instances where one researcher publishes a novel project in
advance of another researcher, who was already working on
this idea. If data sharing is possible, it may be reasonable to
require that researchers request access in order to access the full
dataset. In these cases, sharing variables or codebook material
may be more feasible. Notably, there are likely advantages of
data sharing, when feasible to do so, for overall research impact.
For example, linking data in a repository increases researchers’
citation count by 25% (Colavizza et al., 2020). Researchers may
also wish to license their data, code, and materials to ensure that
it is used appropriately (e.g., a Creative Commons license).
Consideration: Data Ownership and
Permissions
Ownership and legal issues may disrupt the possibility of
data sharing even among willing participants. In many cases,
the grantee for ownership of research data is the university
or research hospital, not the individual researcher (Alter and
Frontiers in Psychology | www.frontiersin.org 2March 2022 | Volume 13 | Article 856949
25
Metcalfe Open Science Within Health Systems
Gonzalez, 2018). Other times, research may be published that is
clearly not within the purview of the project leader. For example,
a secondary data analysis by a graduate student, completed with
permission from the data steward, is almost certain to be derived
from a dataset that is not the intellectual property of the student.
In these cases, a researcher may be unsure of their ability to share
their data, or simply unable to do so due to restrictions imposed
by the data owner.
Previously-collected data in pediatric settings may also lack
adequate informed consent procedures to facilitate data-sharing,
or complications may arise in creating pathways for sharing
sensitive or protected information in these settings. These
concerns may be more likely to come up for large scale
studies operating out of medical centers within major pediatric
health systems.
Actions for Researchers
Researchers in leadership roles may find value in drafting
guidelines for open science practices within their organization in
collaboration with their research ethics team to improve access to
data sharing options. For example, if researchers have historically
used consents that prohibit data sharing, a relatively common
practice in large healthcare facilities, choosing a more flexible
option with informed consent of participants may allow for more
open science-related workability in future projects.
Importantly, Campbell et al. (2019) highlight the
complications of setting up adequate informed consent
procedures for highly sensitive information or for populations
that have historically been wronged by psychological or medical
researchers. They recommend a tiered consent approach to
allow parents or guardians to choose the level of data sharing
that feel comfortable with. Notably, children in pediatric
settings are not able to offer informed consent to participation
in research. Based on developmental stage, children may be
able to provide assent in conjunction with parental consent.
Thus, child health and mental health data deserves additional
considerations related to consent when children reach the
age of majority, such as policies around re-contacting to
establish consent for data-sharing when children become adults
(Brothers et al., 2014). Despite these potential complications,
setting up standard procedures to facilitate the conversations
around open science practices can improve the reproducibility of
future research.
DISCUSSION
Generally, the benefits of open science practices have the
potential to be robust. However, legitimate concerns may limit
the ability of some researchers operating within healthcare
settings to engage in certain practices such as data sharing.
Although steps can be taken to encourage data sharing when
feasible, importantly, there are a range of potential actions in
addition to data-sharing that researchers can take to improve
both the accessibility and reproducibility of science. This article
aims to encourage interested but hesitant researchers in pediatric
medical and mental health systems to consider manageable steps
in the direction of open science.
In particular, researchers are encouraged to:
1. Explicitly consider which open science practices are feasible
for their project and specific datasets with large health and
mental health systems.
2. Proactively plan for large scale research trials to ensure
rigorous data reporting standards while balancing the rights
of children and families who participate in research.
3. Connect with peers to create a culture that encourages open
science within pediatric-focused institutions including active
supports for researchers.
Future research should examine setting-specific barriers or
hesitations to engaging with open science practices as well
as facilitators and the impacts of potential interventions (e.g.,
creating an open science journal club) on the reproducibility of
research within institutions.
AUTHOR CONTRIBUTIONS
The author confirms being the sole contributor of this work and
has approved it for publication.
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Conflict of Interest: The author declares that the research was conducted in the
absence of any commercial or financial relationships that could be construed as a
potential conflict of interest.
Publisher’s Note: All claims expressedin this article are solely those of the authors
and do not necessarily represent those of their affiliated organizations, or those of
the publisher, the editors and the reviewers. Any product that may be evaluated in
this article, or claim that may be made by its manufacturer, is not guaranteed or
endorsed by the publisher.
Copyright © 2022 Metcalfe. This is an open-access article distributed under the
terms of the Creative Commons Attribution License (CC BY). The use, distribution
or reproduction in other forums is permitted, provided the original author(s) and
the copyright owner(s) are credited and that the original publication in this journal
is cited, in accordance with accepted academic practice. No use, distribution or
reproduction is permitted which does not comply with these terms.
Frontiers in Psychology | www.frontiersin.org 4March 2022 | Volume 13 | Article 856949
27
Frontiers in Psychology | www.frontiersin.org 1 March 2022 | Volume 13 | Article 834419
ORIGINAL RESEARCH
published: 07 March 2022
doi: 10.3389/fpsyg.2022.834419
Edited by:
Carmen María Galvez-Sánchez,
University of Jaén, Spain
Reviewed by:
Claudia I. Iacob,
University of Bucharest, Romania
Serena Grumi,
Neurological Institute Foundation
Casimiro Mondino (IRCCS), Italy
*Correspondence:
Alberto Romano
alberto.romano01@universitadipavia.it
These authors have contributed
equally to this work
Specialty section:
This article was submitted to
Psychology for Clinical Settings,
a section of the journal
Frontiers in Psychology
Received: 13 December 2021
Accepted: 24 January 2022
Published: 07 March 2022
Citation:
Zwilling M, Romano A, Favetta M,
Ippolito E and Lotan M (2022) Impact
of a Remotely Supervised Motor
Rehabilitation Program on Maternal
Well-Being During the COVID-19
Italian Lockdown.
Front. Psychol. 13:834419.
doi: 10.3389/fpsyg.2022.834419
Impact of a Remotely Supervised
Motor Rehabilitation Program on
Maternal Well-Being During the
COVID-19 Italian Lockdown
MotiZwilling
1†, AlbertoRomano
2,3,4*, MartinaFavetta
3, ElenaIppolito
5 and MeirLotan
6,7†
1 Department of Economics and Business Administration, Ariel University, Ari’el, Israel, 2 Department of Health System
Management, Ariel University, Ari’el, Israel, 3 Movement Analysis and Robotics Laboratory, Unit of Neurorehabilitation,
Department of Neuroscience, Bambino Gesù Children’s Hospital, Rome, Italy, 4 Centro AIRETT Ricerca e Innovazione (CARI),
Research and Innovation Airett Center, Verona, Italy, 5 SMART Learning Center, Milan, Italy, 6 Department of Physiotherapy,
Ariel University, Ari’el, Israel, 7 Israeli Rett Syndrome National Evaluation Team, Sheba Hospital, Ramat-Gan, Israel
COVID-19 Lockdown was particularly challenging for most mothers of people with
intellectual disabilities, including those with Rett syndrome (RTT), leading to feelings of
abandonment from healthcare services of their children. Within those days, telerehabilitation
has represented a valid alternative to support physical activity and treatment, supporting
parents in structuring their children’s daily routine at home. This article aims to describe
the well-being level of two groups of mothers of girls and women with RTT who were
involved in a home-based remotely supervised motor rehabilitation program, respectively,
before and during the COVID-19 Italian lockdown. Forty participants with classic RTT
were recruited before the lockdown and randomly assigned to two groups that performed
the intervention immediately before (Group1) and during (Group2) the lockdown,
respectively. The intervention included an individualized daily physical activity program
carried out for 12 weeks by participants’ parents and fortnightly supervised throughout
Skype contacts to plan, monitor, and accommodate individual activities in the participant’s
life at home. The short form Caregivers Well-Being Scale was collected for the mothers
in each group12 weeks before intervention (T1), at intervention initiation (T2), immediately
after intervention termination (T3), as well as at 12 weeks after intervention termination
(T4). Mothers of participants in the Group1 showed a stable level of well-being across
all four evaluations with a slight improvement during the lockdown, without signicant
change. Similarly, the well-being level of mothers in the Group2 showed a statistically
signicant increase in their well-being between T2 and T3 (during the lockdown) and its
reduction to the pre-intervention level between T3 and T4 (after the lockdown). The results
suggest that the lockdown did not negatively affect the participants’ mothers’ well-being,
leading to its improvement. Moreover, the proposed intervention could have supported
the mothers in managing the new daily routine at home, positively affecting maternal
well-being.
Keywords: Rett Syndrome, telerehabilitation, parental well-being, exercise therapy, parents, COVID-19, home
exercise program
28
Frontiers in Psychology | www.frontiersin.org 2 March 2022 | Volume 13 | Article 834419
Zwilling et al. Telerehabilitation Maternal Well-Being COVID-19 Lockdown
INTRODUCTION
Rett Syndrome (RTT) is a rare neurological disorder observed
mainly in females (Amir etal., 1999, 2000). RTT is characterized
by normal birth and apparently normal psychomotor development
during the rst 6–18 months of life (Epstein, 1995). e disorder’s
trademark is the repetitive stereotypical hand movements
appearing aer the child has entered the typical regression
phase of RTT. Additional characteristics at the breakthrough
of the disease include autistic-like behavior, panic-like attacks,
breathing disturbances, sleeping problems, gait ataxia and apraxia,
and acquired microcephaly (Hagberg et al., 1983). Aer this
period of rapid functional deterioration, the disorder progresses
relatively stable, although the child with RTT could develop
dystonia and musculoskeletal deformities (Sponseller, 2001) as
she grows old. Seizures occur in 50–85% (Epstein, 1995; Glaze
et al., 2010) of individuals with RTT. Females with RTT typically
survive into adulthood, and their estimated life expectancy is
49 years, suggesting the need for life-long support. Due to the
complexity of the disorder, RTT is a particularly challenging
disorder even for highly trained rehabilitation therapists due
to its severity and complexity (Perks et al., 1994).
e challenges presented by the individual with RTT and
their expected longevity necessitate constant individual
adaptations of intervention in all educational and therapeutic
areas. e literature reported that brain development continues
aer the onset of RTT (Kaufmann et al., 2005). Moreover,
the cognitive and communicative abilities of the individual
with RTT do not deteriorate over the years. erefore, setting
proper and achievable rehabilitative, educational and
communicational goals is vital for the individual with RTT
(Cass et al., 2003).
Within the last decade, researchers published new therapeutic
strategies for treating each aspect of the disability associated
with RTT. ese developments include technologically supported
strategies for cognitive (Fabio etal., 2020, 2021; Dovigo etal.,
2021), communicative (Fabio etal., 2013, 2018b; Stasolla etal.,
2014; Vessoyan etal., 2018; Fabio, 2019), and motor (Romano
etal., 2020, 2021; Lotan etal., 2021a,b) rehabilitative evaluations
and interventions. Technology-supported strategies resulted in
adequate support for skills acquisition and improvements in
all these elds. e technology-supported strategies available
for people with RTT mainly refer to telerehabilitation
strategies. Telerehabilitation, also known as net therapy, virtual
rehabilitation, mobile rehabilitation, or remote rehabilitation
(RR), delivers services over distance via technologies addressing
therapeutic issues by presenting remote services to individuals
with DD (Caprì etal., 2021). Clinically, the term ‘telerehabilitation
encompasses a range of rehabilitation and habilitation services
that include evaluation, assessment, monitoring, prevention,
intervention, supervision, education, consultation, and coaching.
Technologies used to deliver rehabilitation and habilitation
services may incorporate but are not limited to video and
audio conferencing, chat messaging, wearable technologies,
sensor technologies, patient portals or platforms, mobile health
applications, virtual reality, robotics, and therapeutic gaming
technologies (Richmond etal., 2017). e benets of telehealth
include improved access to rehabilitation services and specialists,
preventing unnecessary delays in care and support (Cason and
Cohn, 2014).
Life-long rehabilitation interventions should be performed
to maintain individuals with RTT as functional as possible
along with their life span, accompanying the person through
the disease evolution (George et al., 1988; Lotan and Hanks,
2006; Lotan et al., 2010) and overcoming all the medical and
functional impediments mentioned above. Yet, the complexity
of the disorder necessitates treatment delivery to the individual
with RTT and her family with utmost prociency and intensity.
Previous ndings suggest that an intensive intervention
program can enhance the abilities of individuals with RTT
in numerous areas, such as learning skills (Elefant, 2001;
Koppenhaver etal., 2001a,b; Elefant and Wigram, 2005), new
skills (Demeter, 2000; Jacobsen et al., 2001; Leonard et al.,
2001), literacy (Koppenhaver et al., 2001a; Hetzroni et al.,
2002; Fabio et al., 2013), communication abilities (Sigafoos
et al., 2000; Elefant, 2001; Hetzroni et al., 2002; Lindberg,
2006; Wine, 2009; Fabio etal., 2018a), cognitive abilities (Fabio
etal., 2011, 2016, 2019, 2020, 2021), manual abilities (Sullivan
et al., 1995; Pizzamiglio et al., 2008), osteoporosis (Zysman
et al., 2006), functional abilities (Lotan et al., 2004; Downs
etal., 2008; Maciques Rodríguez and Lotan, 2011; Lotan etal.,
2021a), orthopedic issues (Legrand etal., 1997; McClure etal.,
1998; Elefant and Lotan, 2004; Lotan et al., 2004, 2005;
Maciques Rodríguez and Lotan, 2011), and sensory issues
(Pizzamiglio et al., 2008; Drobnyk et al., 2019). In addition,
such programs have been found eective when suggested to
individuals with RTT of all ages (Gillberg, 1997; Demeter,
2000; Lindberg, 2006).
As the primary caregivers, the parents and family play a
vital role in ensuring the health and well-being of children.
e focus of health and developmental services has evolved
from a child-centered, traditional “medical” model to a family-
centered “developmental” model. Bly suggests that as: “e
more involved the family becomes, the more consistent
therapeutic management becomes” (Bly, 1999). In this framework,
those who coordinate services consider the essential contributions
of the family unit and the ability of families to adapt to new
challenges. e pediatric healthcare professional must involve
family members in all areas of planning, delivery, and evaluation
of health and developmental services. Communication between
parents and pediatric healthcare professionals should beopen,
comprehensible, culturally sensitive, and sincere (Ramey and
Ramey, 1996). erefore, the family’s involvement is a
fundamental resource. However, in planning the involvement
of parents in the therapeutic path of their child with disability,
therapists cannot ignore the impact of that decision on the
parents’ stress level (Smith et al., 2001). Stressful experiences
are considered as person-environment interactions, in which
both external stressors and available psychological,
socioeconomic, and cultural resources inuence the person’s
appraisal of the stressor (Lazarus and Folkman, 1984). Stress
was found as a multi-dimensional construct that can
be operationalized in various ways, oen related to having
children with developmental disabilities (Crnic et al., 2009).
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Furthermore, it is known that stress levels negatively inuence
the well-being of parents of children with developmental
disabilities (Cramm and Nieboer, 2011). In general, it can
be determined that exposure to prolonged or chronic
psychological distress has resulted in adverse health outcomes,
ranging from inadequate sleep to negative psychological and
physiological well-being (Lee, 2013).
It is known that the process of caring for a child with
RTT is, by itself, a dicult task for the family, requiring the
activation of psychological, social, and economic resources,
and may represent a source of stress for family members
(Downs and Leonard, 2016). e risk of increased parental
stress level arises from the beginning of the disorder when
parents must face the onset of RTT in a child who has
shown an initial normal development. Moreover, additional
medical comorbidities can arise during childhood, requiring
increased attention and constant adaptation of the parents
caring strategies, all within a framework of uncertainty regarding
their daughter’s life expectancy (Mori et al., 2019). Recent
articles explored the stress levels of parents of girls with RTT.
Authors reported an increased stress level in this population
of parents, with mothers showing a higher stress level than
fathers (Perry etal., 1992; Pari etal., 2020). Moreover, parental
stress level and health-related quality of life were found to
correlate with the degree of clinical severity (Sarajlija et al.,
2013; Pari et al., 2020). Nevertheless, the stress level appears
higher for those parents who had taken care of a girl with
RTT for many years and were, on average older, showing a
cumulative eect (Mori etal., 2019; Pari etal., 2020). Despite
this regression in stress levels, several authors agree that many
families with RTT have found functional strategies to cope
with the strains of their particular parenting (Perry et al.,
1992; Mori et al., 2019). e existing literature agrees in
arming the need for solid support for these parents, which
should follow them across their whole parental experience
(Perry etal., 1992; Pari etal., 2020). Considering the delicate
balance of the need for an intense, long-lasting structured
rehabilitative program while maintaining a healthy familial
infrastructure, it is necessary to investigate the eects of
parental involvement in their daughters’ therapeutic activities
on their well-being.
In February 2020, rst COVID-19 patients were recognized
in Italy. From that moment, the number of aected people
started to increase all over the country and abroad and, on
March 11th, 2020, the world health organization declared the
COVID-19 global pandemic (World Health Organization,
2020). On the same date, the Italian government ordered the
rst national lockdown closing the majority of the working
places, schools, and places of worship and prohibiting all
recreational activities. During the lockdown, people have been
conned to their houses with the possibility to go out for
only a few specic reasons. According to the literature, many
Italian parents experienced signicant parenting-related
exhaustion and well-being levels reduction with increased
anxiety, with mothers more severely aected (Cusinato etal.,
2020; Marchetti etal., 2020; Bentenuto etal., 2021). Coherent
results were found related to mothers of people with disabilities.
An Italian study reported increased sleep diculties and
feelings of reduced external support for mothers of children
with X-Fragile syndrome. However, their perceived self-ecacy
as caregivers did not change during the lockdown (Di Giorgio
et al., 2021).
Feelings of abandonment, powerlessness, and fear for their
and their childrens health have been reported in numerous
studies that have explored the experiences of mothers of both
children and adults with intellectual disabilities during the
lockdown (Asbury et al., 2021; Embregts et al., 2021; Patel
etal., 2021; Rogers etal., 2021). Moreover, in an online survey
administered with 527 Italian parents of children with autism
spectrum disorder, 93.9% of parents reported that the COVID-19
emergency was a challenging period with diculties in free
time management and structured activities development. e
same study reported a low level of specialist support for medical
and behavioral needs (Colizzi et al., 2020). Coherently, Bova
et al. (2021) analyzed data from interviews conducted with
parents of 514 Italian children with neurological disorders who
reported that 67.7% of programmed specialist appointments
were canceled during the lockdown and about half (49.5%)
of children who usually received rehabilitation continued
it remotely.
On the other hand, a study from the United Kingdom
reported that well-being in families of children with intellectual
disabilities measured before and during/immediately aer the
lockdown did not show any dierence. e authors concluded
that the general belief of the lockdown’s negative impact on
these families could be as straightforward as expected (Bailey
et al., 2021). Sporadic similar results were available in other
articles that reported benets for parents due to changes in
their daily routines. For these parents, the house connement
represents a possibility to spend more time with their family,
strengthening the parent-child relationship and contributing
to their well-being (Bentenuto et al., 2021; Embregts et al.,
2021; Rogers et al., 2021).
Reports suggest the need for support by most parents of
people with intellectual disabilities. Remote rehabilitation has
represented a valuable strategy to continue the treatment and
support the families in those dicult days (Assenza et al.,
2020; Rabanifar and Abdi, 2021). However, patients who have
received remote rehabilitation intervention perceived dierences
in the quality of service and preferred traditional in-person
treatment to service delivery via remote rehabilitation (Milani
et al., 2021). is article aims to describe the well-being level
of two groups of mothers of girls and women with RTT who
were involved in a home-based remotely supervised motor
rehabilitation program, respectively, before and during the
COVID-19 Italian lockdown.
MATERIALS AND METHOD
Ethical Approval
Declaration of Helsinki principles was followed while conducting
this research. e research protocol was approved by Ariel
University IRB (AU-HEA-ML-20190326-1) and explained to
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all participants’ parents, who signed an informed consent form
aer understanding the protocol and agreeing to participate.
Participants
Participants were recruited from the Italian Rett syndrome
Association database (AIRett). To be included in the current
investigation, participants must be genetically diagnosed with
classic RTT and reside with their parents. Moreover, participants
parents must have approved their availability to follow a physical
rehabilitation activity program with their daughter for one
non-consecutive hour a day, 5 days a week, for 3 months.
Candidates for participation were excluded if they presented
a neurological or psychomotor developmental decit comorbidity
other than RTT. All candidates were approved to participate
by a specialist doctor certied (due to unstable health conditions,
e.g., ongoing or recurrent infections, severe gastrointestinal
disorders, and drug-resistant epilepsy with multiple
daily seizures).
Study Design
A randomized between-groups comparison design was applied.
Participants were randomly divided into Group1 and Group2.
Both groups followed the same A-A-B-A-A protocol. Group2
started the intervention program 3 months aer Group1. Letter
A” represents the evaluation meetings that occurred 3 months
apart. Letter “B” represents the intervention phase. Before the
COVID-19 outbreak, when the study was planned, the authors
intended to analyze the intervention eects on participants in
Group1 and Group2 together. However, the Italian COVID-19
lockdown occurred before the beginning of the Group 2
intervention phase occasioning the opportunity to investigate
the intervention impact on maternal well-being within the
context of the lockdown limitations. erefore, for the current
article, the research protocol planned before the lockdown
initiation was not changed due to the COVID-19 outbreak,
but the collected data were analyzed for the two groups
independently and compared. e research timetable is outlined
in Figure 1.
e Participatory Action Research (PAR) method was used.
Within the PAR model, participants (in this case, the family
members, caregivers, and referral therapists of the person with
RTT) are involved throughout the whole research process
(Mackenzie et al., 2012). ey are asked to participate with
the researchers in planning their involvement in the research,
identifying problems, and nding solutions to disentangle them
through the direct application of research ndings in a practical
context (Ison, 2014). PAR design is characterized by three
recurring stages: inquiry, action, and reection (Kemmis and
McTaggart, 2005). In the current article, the PAR process was
developed through the implementation of numerous and
continuous cycles of:
Assessment (of each participant’s therapeutic needs);
Mutual goal attainment (individualized therapeutic goals
were set in mutual agreement with each participant’s parents
taking into consideration the participant need and her parents
expectation, needs, and availability within the
family’s framework);
Action (the family members implemented the program);
Reection (each program was discussed with participant’s
family members within the bi-weekly supervised Skype
meetings between a trained supervisor and parents); and
• Evaluation (if necessary, the program was modied and
re-implemented).
e theoretical framework of PAR allows the participants
to actively participate in the research protocol construction
they are involved in resulting in greater intervention eectiveness
(Newig, 2007). us, PAR researchers collaborate with the
participants to obtain changes and identify new solutions
according to their family’s needs and desires (Ozanne and
Saatcioglu, 2008). Even considering the lower level of evidence
of PAR design compared to the randomized controlled trial,
it best-suited studies that provide a protocol requiring a high
level of collaboration between researchers and participants, as
is the present investigation (Mackenzie etal., 2012). Moreover,
it is the researchers’ intention that the participants’ parents
fully understand the process of planning positive physical
activity for their daughter (similar to those proposed in the
present research) becoming able to develop them even aer
the research concludes to maintain long-lasting well-being and
functional status of the participants with RTT.
Procedure
All participants’ parents signed an informed consent explaining
the research protocol before the research initiation. Each
participant was evaluated four times at their house. Evaluation
meetings were conducted with 3 months apart from each other
(± 1 month, T1–T4). Participants’ mothers’ well-being was
assessed during each evaluation meeting.
FIGURE1 | Research timetable. T1–T4 represent the evaluations meeting occurred with 3 months apart. BP, Baseline Phase; IP, Intervention Phase; and WOP,
Wash-Out Phase.
Zwilling et al. Telerehabilitation Maternal Well-Being COVID-19 Lockdown
Frontiers in Psychology | www.frontiersin.org 5 March 2022 | Volume 13 | Article 834419
During the rst evaluation meeting (T1), anamnestic
information related to participants’ medical situation was collected
(e.g., epilepsy, bone density condition, feeding problems, sleep
disorders, and other comorbidities typically associated with
RTT) together with the extent and type of ongoing physical
therapeutic interventions (such as physiotherapy, hippotherapy,
hydrotherapy, and others). At the end of this meeting, the
researchers compiled a dra of the individualized rehabilitation
goals in collaboration with participants’ parents to bepursued
in the intervention phase. e objectives set followed the
SMART principles to best suit each participant’s potential.
Under SMART principles, goals should bespecic, measurable,
attainable, realistic, and timely (Bovend’Eerdt etal., 2009). No
change was made between the rst and second evaluation
meetings (baseline phase) to the participants’ and their parents
daily routines.
In the second evaluation meeting (T2), identied treatment
goals were re-discussed with participants’ parents, and corrections
were applied if needed. At the end of the second (T2) evaluation
meeting, an individualized motor activity program was designed
for each participant and discussed with the family. Each activity
program was developed to pursue the identied intervention
goals through easily constructed physical activities that did
not require professional competencies to be carried out.
Aer the second evaluation meeting termination, participants’
parents were asked to conduct the activities of their daughter’s
program within her daily routine, for one non-continuous hour
a day, 5 days a week, for 3 months. Researchers helped the
parents to plan the therapeutic activities development within
their weekly routines and habits. Aer 2 weeks from the delivery
of the program, necessary for familiarization with the activities,
each family started to participate in remotely conducted
supervision meetings with a researcher experienced in the
rehabilitation of people with RTT. Supervision meetings occurred
fortnightly and lasted for a maximum of 1 h. A videoconference
platform (Skype) was used to conduct the supervision meetings.
ese meetings continued until the end of the intervention
phase. e rst supervision meeting was mainly dedicated to
clarifying any doubts about the practical execution of the
activity programs, guiding the parents in the activity development,
and modifying them if necessary to meet the families’ needs.
e subsequent supervision meetings aimed at supporting the
adherence to the program and their execution by answering
parents’ questions, adapting the program to emerging needs,
solving problems, rearranging the timetable, adapting the
proposed exercises, evaluating and sharing the achievement of
objectives and, if necessary, setting new goals. Due to the
experience of the researchers in RTT, the weekly meetings did
not refer only to the program implementation but also to
general issues related to RTT, raised by the parents.
Aer the 3 months of programs implementation, the third
evaluation meeting (T3) was conducted. In this meeting, the
level of achievement of identied goals was assessed, and the
parents’ considerations relating to the intervention phase
were collected.
Between the third (T3) and fourth (T4) evaluation meeting
(wash-out phase), the remote supervisions were suspended,
and parents were informed that they could, at their discretion,
continue or interrupt the program. e researcher took this
choice to support the continuation of the activities learned,
promoting the participants’ physical tness.
Measures
RTT Severity Level
Rett Assessment Rating Scale (RARS; Fabio et al., 2005) was
administered at T1 to assess the participants’ level of RTT
clinical severity. is is a 31-item scale aimed to score many
specic RTT phenotypic characteristics. Each item is scored
on a four-point scale from one to four. Intermediate scores
(e.g., score of 2.5) can be attributed to the subject to make
the scale more sensitive to the typical variability of RTT. In
the theoretical framework of this scale, RTT severity is
conceptualized as a continuum between mild decit (lower
score) to severe symptoms (higher score; Vignoli etal., 2010).
RARS standardization procedure for the Italian population with
RTT was conducted involving a sample of 220 individuals
with RTT. Solid psychometric values were proved for this scale
(Fabio et al., 2005, 2014; Vignoli et al., 2010; Romano et al.,
2020). e results obtained at this scale will be only briey
discussed within the present article. e results obtained from
this scale will be presented to provide the reader with a more
precise description of the participants’ disease severity.
Mothers’ Well-Being
e change in the well-being level across the protocol was
evaluated with the short form of the Caregiver Well-Being
Scale (CWBS-SF; Tebb et al., 2013). is is a 16-items scale
targeted to address areas relevant to caregivers that allow
obtaining information related to their well-being. e scale
covers basic needs (meeting the biopsychosocial needs to sustain
life) and activities of daily living (regarding the implementation
of the biopsychosocial needs). A daily need is presented for
each item, and the parent is asked to assign a score based
on the level hefeels he has satised that need in the previous
3 months. e score is attributed on a ve-point Likert scale
from 1 (the need was never or almost never satised) to 5
(the need was almost always satised). e scores of each
item were averaged together for the subsequent analysis. is
scale showed an overall internal consistency of 0.83 (Tebb
etal., 2013). e CWBS-SF was administered with participants’
mothers only as few fathers participated in all the
evaluation sessions.
Statistical Analyses
e Shapiro-Wilk normality test was used to assess the
normality of the data distributions. As most analyzed data
sets were not normally distributed, the non-parametric statistic
was used to analyze the obtained results. Friedman’s test
was run to compare the CWBS-SF scores obtained from the
mothers in each group and all together at the four evaluation
points. Post-hoc analysis with Wilcoxon signed-rank tests
was conducted for pairwise comparisons. Mann-Whitney U
Test was used to compare the results obtained by Group 1
32
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with those achieved by Group 2 at each time point for all
the outcome measures. e Spearman rank correlation
coecient was used to explore the relations between
participants’ mothers’ well-being (CWBS-SF score) and
participants’ and their mothers’ age and level of participants
clinical severity at T1 (RARS score). e threshold for
signicance for the analyses above has been assumed as
α = 0.05. No correction for multiple comparisons was applied
to avoid missing signicant results (Armstrong, 2014).
RESULTS
Main Descriptive Statistics
Forty-two families were involved in the rst evaluation (T1).
Two families (4.8%) did not complete the research protocol.
One drop-out happened in Group 1 and was due to health
problems of the participant’s mother that arose during the baseline
period. e other drop-out occurred in Group2 and concerned
a family living in a rural area with negative external involvement
by local healthcare professionals who gave them contradicting
advice about the proposed program for their child with RTT.
erefore, data of 40 participants with RTT were used for the
subsequent analysis. Participants’ and parents’ ages and RTT
severity levels measured with RARS were collected in Tab l e 1 .
At the rst evaluation meeting (T1), 11 participants were
younger than 10 years, 19 were aged between 10 and 20 years,
and 10 were older than 20 years. Seven participants attended
motor rehabilitative intervention for at least 4 h a week.
Twenty-six subjects attended such interventions between 1
and 3 h per week. Five participants were not involved in any
motor rehabilitative treatment. All the rehabilitative
interventions were suspended during the lockdown. All
participants resided at home with their parents. All the
participants and their parents were born in Italy. e
participants’ and parents’ daily routines and the amount of
parents’ working hours varied widely within our sample. In
three families, the parents were divorced, and the participants
lived with their mother. A weak correlation was found between
maternal well-being and both participants’ and mothers’ ages
at T1 (p = 0.001, rho = 0.491 and p = 0.006, rho = 0.429,
respectively), T2 (p = 0.005, rho = 0.433 and p = 0.032,
rho = 0.339, respectively), and T4 (p < 0.001, rho = 0.530 and
p = 0.011, rho = 0.398, respectively). No correlation emerged
between the maternal well-being level and participants’ RTT
severity level.
Differences Regarding Mothers’
Well-Being
CWBS-SF was assessed to investigate the impact of program
implementation on participants’ mothers’ well-being. Descriptive
statistics of CWBS-SF are collected in Tab le 1. e variation
of maternal well-being within the current project diered
consistently between Group 1 and Group 2 (see Figure 2).
However, when analyzed with the Mann-Whitney U Test,
no statistical dierence emerged between mothers in Group1
and Group 2. Mothers in the Group 1 showed a stable level
of well-being across all four evaluations with a slight improvement
of median well-being level between T1 and T4. ese changes
were not statistically signicant at any conducted analysis.
Conversely, the well-being level of mothers in the Group 2
showed a signicant change across the four evaluations at the
Friedman test (p = 0.012). Signicant increases in mothers’ well-
being were found between T1 and T2 and between T2 and
T3 (p = 0.002; p = 0.013, respectively), but a statistically signicant
reduction between T3 and T4 (p = 0.031) was found. Looking
at participants’ mothers altogether (see Figure3), the Friedman
test identied no signicant score change among the four
evaluation meeting. However, the maternal well-being showed
a signicant increment between T1 and T2 (p = 0.018) and
between T2 and T3 (p = 0.050) and then slightly reduced at
T4, but without reaching the statistical signicance with any
of the other evaluations.
Moreover, on average, the CWBS-SF score in our group
remained within the range described as acceptable for
families without children with disabilities (average: 3.6—
range: 2.7–4.9; Tebb et al., 2013). No correlation emerged
between the mothers’ well-being level and the other
outcome measures.
TABLE1 | Descriptive statistics of participants’ and parents’ age, RTT severity level (RARS), and CWBS-SF score.
Participants’ age Mothers’ age RARS score CWBS-SF
T1 T2 T3 T4
All participants
(No. 40)
Mean (SD) 15.7(9.7) 50.0(9.8) 67.3(9.8) 3.4(0.6) 3.5(0.6) 3.6(0.7) 3.5(0.8)
Median 13.3 48.4 67.8 3.3 3.5 3.8 3.5
Max–Min 40.3–2.8 75.1–29.1 82.5–45.5 4.9–2.2 5–2.4 4.8–2.1 4.8–2
Group1 (No. 17) Mean (SD) 16.4(7.9) 53.4(7.1) 66.5(10.7) 3.6(0.6) 3.6(0.6) 3.6(0.7) 3.7(0.7)
Median 13.3 51.4 68.0 3.6 3.7 3.8 3.8
Max–Min 38.2–5.4 67.5–39.5 82.5–45.5 3.6(0.6) 3.6(0.6) 3.6(0.7) 3.7(0.7)
Group2 (No. 23) Mean (SD) 15.1(11.0) 48.8(10.8) 67.8(9.2) 3.3(0.7) 3.4(0.6) 3.7(0.7) 3.3(0.8)
Median 13.3 46.7 67.0 3.1 3.4 3.9 3.3
Max–Min 40.3–2.8 75.1–29.1 82.5–51.5 3.3(0.7) 3.4(0.6) 3.7(0.7) 3.3(0.8)
SD, Standard deviation; RTT, Rett syndrome; RARS, Rett assessment rating scale; and CWBS-SF, Caregiver well-being scale—short form.
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Frontiers in Psychology | www.frontiersin.org 7 March 2022 | Volume 13 | Article 834419
DISCUSSION
is article described the well-being of mothers of girls with
RTT and how it was aected by their enrollment in their
daughter’s rehabilitation program during the COVID-19
lockdown in Italy. A motor activity program was given to
each involved family to be carried out at home and was
fortnightly remotely supervised through video calls. Parental
well-being was assessed before and aer treatment. However,
on March 9th, the Italian government established the rst
national lockdown to face the COVID-19 outbreak. is has
led to the interruption of most working and recreational activities
and to the obligation for all Italian citizens to stay at home
and go out only if strictly necessary. In this phase, rehabilitation
and assistance facilities for people with disabilities and schools
were also closed. e lockdown and the related restrictions
continued until May 4th, when most work activities were
resumed, but without the reopening of shops, restaurants, cafes,
and places of worship that occurred on May 18th. On the
same day, some, but not all, rehabilitation activities for people
with disabilities were also resumed. However, the limitations
to some recreational activities, such as cinemas and theaters,
and the attendance of summer camps for children continued
until June 11th, and school attendance did not start again
until September 2020. e restriction progression caused the
parents to spend 2 months at home with their families without
working activities. Subsequently, aer the recovery of the working
activity (May 4th), the parents’ situation has changed. ey
were asked to go back to work within a context of social
distancing, reduced availability of recreational activity, fear of
contagion, and with their child at home from school and
rehabilitation facilities.
In this study, two groups of people with RTT and their
families followed the same research protocol starting with
3 months apart. For this reason, the lockdown occurred in a
dierent phase of the protocol for the two groups. For Group1,
the restrictions began within the wash-out phase while, for
Group 2, the lockdown started during the intervention phase
(see Figure1). e mothers’ well-being scores across the four
evaluation meetings diered for the two groups. e mothers
in Group 1, aer stable well-being scores in the rst three
evaluation meeting, showed a slight increase at T4 (during
the lockdown). Similarly, the well-being of mothers in the
Group2 increased at baseline and, more markedly, during the
intervention phase, before going back to the pre-intervention
level at T4. ese results suggested that the lockdown did not
negatively aect the mothers’ well-being level but increased
it. is eect can be explained by the fact that the lockdown
situation allowed the mothers to spend more time with their
families in the absence of working activities. ese results are
correlated to the ndings of Bailey et al. (2021) and with
sporadic results from other studies (Bentenuto et al., 2021;
Embregts et al., 2021; Rogers et al., 2021).
Nevertheless, within the lockdown, mothers in Group 2
showed a more markedly improved well-being than those in
Group1. ese can beexplained by the presence of the remote
supervision meeting that occurred during the lockdown for
Group2 but before it for Group 1. e literature reports that
parents of children with intellectual disabilities suered the
reduction in healthcare professional support they received
through the lockdown (Asbury et al., 2021; Embregts et al.,
2021; Patel et al., 2021; Rogers et al., 2021). is did not
happen in the case of mothers in group 2 who received an
organized program to implement and constant follow-up talks
where they could unload their fears and concerns.
Furthermore, the positive correlation between mothers’ and
participants’ age and maternal well-being suggests that older
mothers have higher well-being levels than younger ones
contrasting with published literature (Perry et al., 1992; Pari
et al., 2020). e fact that both articles investigated parental
stress while our study focused on maternal well-being could
explain this dierence. However, both Perry et al. (1992) and
Pari et al. (2020) suggested that families with RTT frequently
nd suitable strategies to cope with the strains related to their
parental role. In this light, our ndings agree with the researches
mentioned above, as shown by the average well-being level of
parents in our groups that remained in the range reported
for parents without children with disabilities (Tebb etal., 2013).
Group 1
Group 2
June
2019
September
2019
December
2019
April
2020
July
2020
***
FIGURE2 | Caregivers’ Well-Being Scale—Short Form (CWBS-SF) score of
each group at each evaluation point. The box inferior limits represent rst
quartile of the distribution, and the upper limits the third quartile (median
excluded). The lines across the box show the median score of each group.
The crosses inside the boxes mark the mean value of each dataset. The
whiskers indicate the minimum and maximum distribution values (outliers
excluded). The dots above the upper and below the lower whiskers represent
the distribution outliers identied through Tukey’s method (data points that lie
above 1.5 times the interquartile range under the rst quartile or over the third
quartile). In June 2019, Group1 was evaluated for the rst time (T1). In
September 2019, the second evaluation was conducted for Group1 (T2),
and the initial assessment occurred for Group2 (T1). In December 2019,
Group1 was evaluated for the third time (T3) and Group2 for the second
time (T2). In April 2020, Group1 was assessed for the last time (T4), and the
third evaluation was conducted for Group2 (T3). For Group2, the last
assessment occurred in July 2020 (T4). The black arrow indicates the
initiation of the Italian COVID-19 national lockdown, and the grey arrow
indicates its end for a total of 2 months. *p 0.05.
34
Zwilling et al. Telerehabilitation Maternal Well-Being COVID-19 Lockdown
Frontiers in Psychology | www.frontiersin.org 8 March 2022 | Volume 13 | Article 834419
However, these results may also relate to the fact that all
participating families remained protected from the COVID-19
contagion and were nancially well established, thereby reducing
the burden associated with the pandemic.
e current investigation presents some limitations. First,
only one measure of maternal well-being was used. For more
solid results, more evaluation tools should beused to investigate
more dimensions of maternal well-being and stress level in the
future. Moreover, the amount of time each parent spent in their
daughter’s program was not collected, but weasked them never
to exceed 1 h of treatment per day for 5 days a week. Furthermore,
a relatively small sample was enrolled in this study, challenging
the external validity of the obtained results. Additionally, each
groups participants’ data were analyzed together, preventing
further ne-grained analyses. As a correlation between the
participants’ ages and their mothers’ well-being level was identied,
the age eect may have aected the whole groups well-being
outcome. erefore, future studies are needed to evaluate the
impact of the participants’ and parents’ ages on the well-being
of parents involved in activity programs, such as the one presented.
Plus, the maternal working status changes due to the lockdown
were not assessed within the present study limiting the validity
of the discussion of the results. However, most workplaces were
closed, and people were forbidden to leave their houses (except
for a few reasons) within those months in Italy. erefore, the
authors reasonably assumed that, on average, the participants’
mothers’ working hours were reduced during the lockdown.
Similarly, it would have been interesting to analyze the amount
of social support the mother received in the dierent phases
of the present study and their impact on maternal well-being.
Finally, only mothers’ well-being was analyzed due to fathers
missing data. Future research should investigate these variables
individually for each parent to understand the dierences between
the impact of the treatment on both mothers and fathers.
CONCLUSION
e results obtained at the CWBS-SF hint that the availability
of an activity program and the conducted remote supervision
calls positively aected maternal well-being in a challenging
period, such as the COVID-19 lockdown. Moreover, as the
researchers were highly familiarized with RTT, their bi-weekly
calls enabled the parents to consult on other issues which
were not directly connected with the motor elements of the
program. It is the authors’ opinion that the strategies and
suggestions given to parents within the current project supported
the daily caring of their daughters, supporting the maternal
well-being in accordance with existing literature, not specically
related to RTT (Singer et al., 2007; Todd et al., 2010).
DATA AVAILABILITY STATEMENT
e original contributions presented in the study are included
in the article/supplementary les, and further inquiries can
be directed to the corresponding author.
ETHICS STATEMENT
e studies involving human participants were reviewed and
approved by the Ariel University Institutional Review Boards,
Ariel University, Ari’el, Israel. Written informed consent to
participate in this study was provided by the participants’ legal
guardian/next of kin.
AUTHOR CONTRIBUTIONS
ML obtained the funds. MZ and ML coordinated the project.
ML and AR conducted participants’ evaluations. AR organized
the participants’ evaluations and carried out all remote supervision
meetings. EI and MF collected the data that MZ and AR
analyzed. MZ, ML, and AR wrote the article. All authors have
read the article and suggested improvements and changes until
agreement was reached.
FUNDING
e International Rett Syndrome Foundation funded the
described project within the HeART grant no. 3610.
ACKNOWLEDGMENTS
We would like to thank the International Rett Syndrome
Foundation for supporting this research project nancially.
T1 T2 T3 T4
Evaluation sessions
All participants
**
FIGURE3 | Caregivers’ Well-Being Scale—Short Form (CWBS-SF) score of
all participants together at each evaluation point. The box inferior limits
represent rst quartile of the distribution, and the upper limits the third quartile
(median excluded). The lines across the box show the median score of each
group. The crosses inside the boxes mark the mean value of each dataset.
The whiskers indicate the minimum and maximum distribution values.
*p 0.05.
35
Zwilling et al. Telerehabilitation Maternal Well-Being COVID-19 Lockdown
Frontiers in Psychology | www.frontiersin.org 9 March 2022 | Volume 13 | Article 834419
Wewould also like to thank the Italian Rett Association (AIRett)
and the head of the organization Lucia Dovigo for supporting
this project connecting researchers and involved families, and
constantly supporting the experimentation of therapeutic
strategies based on telerehabilitation. Finally, we thank the
parents and individuals with RTT involved in this project.
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38
BRIEF RESEARCH REPORT
published: 14 March 2022
doi: 10.3389/fpsyt.2022.797150
Frontiers in Psychiatry | www.frontiersin.org 1March 2022 | Volume 13 | Article 797150
Edited by:
Christos Theleritis,
National and Kapodistrian University
of Athens, Greece
Reviewed by:
Domenico De Berardis,
Mental Health Center (CSM) and
Psychiatric Service of Diagnosis and
Treatment (SPDC), Italy
Lucie Bartova,
Medical University of Vienna, Austria
*Correspondence:
Tarek Okasha
tarek.okasha@gmail.com
Specialty section:
This article was submitted to
Public Mental Health,
a section of the journal
Frontiers in Psychiatry
Received: 26 October 2021
Accepted: 04 February 2022
Published: 14 March 2022
Citation:
Abdel-Wahab M, Okasha T,
Shaheen M, Nasr M, Molokheya T,
Omar AE, Rabie MA, Samy V,
Hamed H and Ali M (2022) Clinical
Guidelines of the Egyptian Psychiatric
Association for the Management of
Treatment-Resistant Unipolar
Depression in Egypt.
Front. Psychiatry 13:797150.
doi: 10.3389/fpsyt.2022.797150
Clinical Guidelines of the Egyptian
Psychiatric Association for the
Management of Treatment-Resistant
Unipolar Depression in Egypt
Momtaz Abdel-Wahab 1, Tarek Okasha 2
*, Mostafa Shaheen 3, Mohamed Nasr3,
Tarek Molokheya 4, Abd ElNasser Omar 5, Menan A. Rabie 5, Victor Samy 6, Hany Hamed7
and Mohamed Ali 8
1Department of Psychiatry, Kasr El-Aini Medical School, Cairo University, Giza, Egypt, 2Okasha Institute of Psychiatry,
Medical School, Ain Shams University, Cairo, Egypt, 3Department of Psychiatry, Kasr El-Aini Medical School, Cairo
University, Cairo, Egypt, 4Department of Psychiatry, Alexandria Medical School, Alexandria University, Alexandria, Egypt,
5Department of Psychiatry, Ain Shams Medical School, Ain Shams University, Cairo, Egypt, 6Department of Psychiatry,
Banha Medical School, Banha University, Benha, Egypt, 7Department of Psychiatry, Beni-Suef Medical School, Beni-Suef
University, Beni-Suef, Egypt, 8Faculty of Pharmacy, German University of Cairo, Cairo, Egypt
Background: Major depressive disorder (MDD) is a public health burden that creates a
strain not only on individuals, but also on the economy. Treatment-resistant depression
in the course of major depressive disorder represents a clinically challenging condition
that is defined as insufficient response to two or more antidepressant trails with
antidepressants of the same or different classes that were administered at adequate
daily doses for at least 4 weeks.
Objective/Hypothesis: To develop a treatment guideline for Treatment Resistant
Depression (TRD).
Methodology: Experts in the field gathered and reviewed the available evidence about
the subject. Then, a series of meetings were held to create recommendations that can
be utilized by Egyptian psychiatrists.
Results: The guidelines provide recommendations in various clinical settings. It
evaluates different situations, such as patients at risk of resistance, those with resistance
and recommends strategies to resolve the clinical case.
Conclusion: The consensus guidelines will improve the outcomes of patients, as
they provide recommendations across various domains that are of concern for the
practicing psychiatrist.
Keywords: depression, treatment resistance, guidelines, clinical psychiatry, neuropharmacology
INTRODUCTION
MDD is defined as a disorder of having one or more major depressive episodes in a person’s
life with the absence of manic or hypomanic symptoms; to meet the criteria of MDD five out of
nine symptoms, two of which must be low mood and anhedonia (loss of pleasure) persisting for a
2-week period. The nine symptoms include low mood, loss of interest or pleasure, disturbed sleep,
change of eating pattern or weight, agitation or psychomotor slowness, unexplained fatigue, feeling
worthless or guilty, inability to concentrate and thoughts of death or suicide (1).
39
Abdel-Wahab et al. TRD: A Guideline for Egyptian Psychiatrists
Major depressive disorder (MDD) is a major public
health concern. It is projected to be the first cause of
disease burden worldwide by 2030 (2). According to the
World Health Organization (WHO), depression affects
over 260 million individuals worldwide (3). Results of a
recent systematic review by Odejimi et al. reported that the
prevalence of depression in Egypt ranges between 23.7 and
74.5% (4).
This mental disorder results from the interaction of several
factors, including psychological, social and biological factors (5).
According to the Diagnostic and Statistical Manual of
Mental Disorders, 5th Edition (DSM-5), a person is diagnosed
with MDD when he or she consistently depressed mood
or anhedonia, along with five of the following symptoms;
difficulty in concentration, appetite changes, decreased
energy, sleep disturbance, suicidal thoughts and tendencies,
concentration difficulties, or psychomotor agitation or
depression (6).
In medicine, the term “resistance” is used to describe the
failure of standard treatment; although there is no distinct
definition for TRD as clinical practice is ever evolving and
because treatment “failure” is sometimes judged by physicians
themselves when their patients do not respond as much as they
expected them to. In short, TRD is described as depression that
is unresponsive to antidepressant drug treatment at adequate
dosing for an adequate amount of time (5).
Response to traditional treatment has been assessed by several
studies (6). One major trial highlighted that the remission rate
after step 1 of treatment was 36.8%, with the remission rate
decreasing after each step of treatment, reaching only 13% at
the fourth step (7,8). In other words, the more advancement
in treatment lines, the more likely is the patient to relapse. The
same study concluded that the overall remission rate was 67%,
highlighting that about 1 in every 3 patients fails treatment (9).
Several psycho-pharmacotherapeutic strategies have been
suggested to overcome TRD, whereby augmentation treatment
represents the currently recommended first-choice in case of
insufficient response to the initial antidepressant treatment.
In accordance with available international evidence, second-
generation antipsychotics or lithium should be preferably
employed (6).
Many patients are labeled as treatment resistant mistakenly
when they are actually pseudo-resistant cases of depression; most
common causes of this case are due to sub-therapeutic dosing
or non-adherence to medication. According to APA guidelines it
is important for physicians to assess any patient comorbidities,
modifying doses of first line treatment if it failed after 4 weeks,
considering patient history when adding second line treatment to
ensure that the patient will positively respond to the medication
and only initiating second line treatment after unsatisfactory
response at 4 weeks (9).
“According to available international evidence, this
publication will cover treatment options and recommendations
from the Egyptian Psychiatric Association for the management
of TRD in the course of MDD in Egypt.”
METHODS
Expert recommendations were determined after a thorough
examination of available literature to identify and assess
the recent global updates about the subject. Prior to the
meeting, two senior members of the committee performed
a comprehensive search on the PubMed database to identify
the available literature relevant to the topic using keyword,
such as “treatment-resistant depression”, “major depressive
disorders” and their derivates. Then, those senior members
prepared a questionnaire using the Delphi technique and invited
committee members to assess the literature and respond to
the questionnaire.
Afterwards, responses of clinicians to the questionnaire were
captured, analyzed and ranked. Then, another round of questions
was dispensed in a second meeting based on the outcomes
of the first committee gathering and questionnaire responses.
The second round was when a consensus was reached by all
committee members, therefore there was no need for further
meetings (10).
RESULTS
Panel Description
An expert panel of 8 professors of psychiatry from different
universities and the ministry of health representing the
Egyptian Psychiatric Association drafted the following
guidelines. Information about panel members can be found in
the Appendix.
Definition of Resistant Depression
According to a meta-analysis by Gaynes et al. 2019, there is no
clear-cut definition for TRD, however, most experts unanimously
agree that lack of response to initial treatment is deemed as
TRD. The APA (American Psychological Association) and NICE
(National Institute for Health and Care Excellence) guidelines
also state that the next step of handling TRD also differs
between experts which makes it more challenging to develop
universal treatment guidelines. The classes of medications should
be among the following: (11).
- Tricyclic antidepressants (TCAs) (equivalent to 300 mg
imipramine) (12)
- Selective serotonin reuptake inhibitors (SSRIs) (equivalent to
50 mg fluoxetine) (13)
- Serotonin norepinephrine reuptake inhibitors (SNRIs)
(equivalent to 225 mg venlafaxine) (14)
Antidepressant treatment has been the mainstay treatment of
depression for years; the first class of such drugs were tricyclic
antidepressants followed by more novel agents namely SSRIs
and SNRIs. Both classes of TCA and SSRIs are equally affective
in ameliorating depressive symptoms and decreasing depression
scores as proved by a meta-analysis to compare the two classes.
However, SSRIs are preferred by patients as well as physicians as
they do not produce bothersome side effects as TCAs (15).
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Abdel-Wahab et al. TRD: A Guideline for Egyptian Psychiatrists
SNRIs are a group of antidepressants with a dual mechanism
of action of both serotonin and adrenergic reuptake inhibition;
research has suggested that SNRIs are superior to SSRIs
in more severe depression; which insinuates their possible
effectiveness in TRD. Moreover, SNRIs have established efficacy
in treating depression with somatic manifestations as pain and
other physical symptoms (16). The Danish guidelines; which
incorporates the APA and NICE guidelines states that most
patients first diagnosed with MDD are treated with SSRIs
then switched to SNRIs. The ten most prescribed treatments
for TRD mainly constitute of both SSRI’s and SNRI’s as first,
second- and third-line treatments (17). Other antidepressants
as trazodone, vilazodone and tranylcypromine are also available
options however, are not easily accessible in the Egyptian market.
The advisory committee recommended of TRD be as follows:
Treatment-resistant depression shall be defined as the failure
of 2 different classes of antidepressant medications, given that
the medications have been used for a period of 6–8 weeks at the
desired dose.
N.B. (Nota bene) to the above definition and in order to
account for the definition of TRD in Egypt, the committee
added 6–12 monitored sessions of BST (Brain Synchronization
Therapy)/ECT (Electroconvulsive Therapy).
The panel recognized the importance of identifying the
term “pseudo-resistance”, which was defined by the panel as
a patient not responding to medication because of a problem
in the diagnosis or the type of depression or the presence
of depression secondary to another psychiatric, personality or
medical disorder.
In addition to pseudo-resistance, the clinical experts
highlighted additional predictors for TRD, as follows:
- Other forms of depression such as bipolar depression.
- Other comorbid conditions, including concurrent anxiety,
drug abuse, chronic organic medical conditions, and
personality-related disorders (e.g., mood swings in borderline
personality disorder).
Assessment of Treatment-Resistant
Depression
Clinical panel experts recommended using the following set of
clinical tools and tests to identify and diagnose TRD.
- Depression severity scales such as Montgomery-Asberg
Depression Rating Scale (MADRS) and psychiatrist-rated
scales. Montgomery-Asberg Depression Rating Scale has long
been used by physicians for assessing depression, the advantage
of MADRS is that avoids the drawbacks of the HAM-D
score and is more robust. It is used mainly to detect any
patients’ response changes to antidepressant therapy with high
sensitivity and is positively correlated to change in degree of
depression (18).
-Hypomania check list: The hypomania checklist has long
been used in many countries and in different languages to
differentiate bipolar depression from MDD. This is important
as manic/psychotic symptoms in depression should not be
confused with TRD (19).
- Suicide scale [e.g., Beck’s Scale for Suicide Ideation or Columbia
Suicide Severity Rating Scale (C-SSRS)]. Suicide ideation scales
are mainly used to monitor patient’s health and to predict the
risk of actual suicide for timely intervention (20). The BSS is
one of the most reliable tools to predict a patient’s risk and plan
for suicide. The C-SSRS is also a sensitive scale to use especially
that it is sensitive to change of suicidal ideation over treatment
time and with the use of medication (21).
- Complete blood count (CBC), liver and kidney function tests,
lipid and glycemic profiles: Complete blood count (CBC), liver
and kidney function test and lipid and glycemic profiles; all
these tests can be used and are done to eliminate any disease
that could precipitate symptoms of depression (22).
- Thyroid function test: Regarding thyroid profiling; it
is established through a wide volume of research that
hypothyroidism presents with some depressive symptoms, in
a study conducted by Bathla et al. 56% of males and 64% of
females with hypothyroidism presented with some symptoms
of depression and anxiety (23).
- Electrocardiogram: An electrocardiogram could be beneficial
since stress (a component of MDD) is linked to heart disease.
Not only that; depression onset is often seen in up to 40% of
patients after a major cardiac event. Therefore, an ECG could
be of use to determine heart health of patients and to stratify
patients who could be at risk of developing MDD or TRD (24).
- Brain imaging techniques like magnetic resonance imaging
(MRI): Recently, brain imaging using MRIs or CT scans
have been utilized in the diagnosis of MDD especially in the
elderly. This is because some cases of depression indicate
an underlying mental disease as Parkinson’s, Alzheimer’s
and Pick’s disease; moreover, geriatric depression has been
associated with leukoencephalopathy that can be detected
using brain imaging techniques (25).
The panel highlighted the importance of periodic performance
of most of the above tests upon prescribing ADs. In addition to
the aforementioned tests, the panel also recommends performing
the following tests based on clinician’s discretion and the patient
profile, as follows:
- Assessing vitamin D plasma levels
- Assessing sex hormones plasma levels
- Toxicological analysis of blood and urine samples
Principles of Management
Hospitalization: Indications
Upon careful assessment of the condition, the expert panel agreed
that psychiatric hospitalization is warranted in severe cases that
fall under the umbrella of one of the following:
- Catatonic cases
- Patients with high suicidal tendency
- Severe psychotic symptoms
- Advanced cases of MDD
- The presence of severe uncontrolled comorbid
medical conditions
- Insufficient familial support to the patient
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Abdel-Wahab et al. TRD: A Guideline for Egyptian Psychiatrists
Therapeutic Options for
Treatment-Resistant Depression and
Comorbid Conditions
Pharmacotherapeutic Options of Comorbid
Conditions
For patients suffering from comorbid conditions, the expert
panel recommends the following:
Patients suffering from anxiety and its features are
recommended to receive benzodiazepines. Buspirone and
pregabalin are also available options. Anxiety and depression
often go hand in hand; therefore, a multi-modal treatment
approach for handling both illnesses are often recommended.
The evidence in the treatment of anxiety disorders greatly points
to SSRIs, SNRIs and benzodiazepines. Benzodiazepines have
long been used as anxiolytics as they demonstrate a relatively
high safety and tolerability profile, they also have a rapid onset
of action and manage acute anxiety symptoms and somatic
complaints according to the NICE guidelines. The common issue
physicians and patients face with benzodiazepines is dependence
and abuse; thus, benzodiazepines should be preferentially used
for a short amount of time (26).
The NICE guidelines usually recommend pregabalin in
patients with anxiety if they do not tolerate SSRIs and SNRIs;
pregabalin is an anti-convulsant and is also used for neuropathic
pain; the advantage of pregabalin over benzodiazepines is that
it does not cause dependance; however, sudden discontinuation
may cause confusion. Buspirone, a non-benzodiazepine
alternative is also prescribed for anxiety symptoms; the evidence
regarding its efficacy in comparison to benzodiazepines is
conflicting; however, it does not cause sedation, withdrawal
symptoms or addiction as benzodiazepines (27).
Patients with depression or TRD frequently suffer from sleep
disturbances; therefore, a sleep-aid can be used to overcome this
symptom. Benzodiazepines; although excellent sleep-aids; often
cause residual daytime sleepiness or “hangover”, high doses of
benzodiazepines also cause cognitive impairment and respiratory
depression therefore, pose a risk; in contrast to hypnotic agent
zolpidem that lacks effect of residual day-time sedation or
psycho-motor impairment. Zopiclone, another hypnotic agent; is
also free of any day-time sleepiness side effect but slightly impairs
psychomotor function especially at high doses. Both agents are
reported to be tolerated, efficacious, safe and have low rates of
dependence or abuse (28).
Other non-benzodiazepines that also act as sedatives
are trazodone (an antidepressant from a class of serotonin
modulators) and low dose quetiapine (an atypical anti-
psychotic). Quetiapine has a wide array of indications; it has
the advantage of ameliorating anxiety symptoms so can be used
in TRD comorbid with anxiety, chronic pain and PTSD. In
depression; 27 patients in a MDD episode were administered
low dose quetiapine along with venlafaxine or escitalopram, by
the end of the 4 weeks test time; sleep parameters had definitely
improved in all patients (29). A head-to-head comparative study
between trazodone and low dose quetiapine in hospitalized
psychiatric patients at St. Helenas Hospital suffering from
insomnia revealed that trazodone is a superior agent in patients
with depressive symptoms and offers higher improvement in
sleep parameters than quetiapine (30).
Patients at high risk of self-inflicted injury are
recommended to receive lithium, benzodiazepine, or second-
generation antipsychotic medication. This is because second
benzodiazepines generation anti-psychotics as clonazepam
have a mood stabilizing effect and reduce impulsivity and
mood swings (31).
Treatment Duration
The clinical committee members recommended that patients
should be maintained on their ongoing antidepressant
medication for a period of 9–12 months following the
achievement of clinical remission.
Patients suffering from the following conditions are
recommended to receive a longer course of treatment:
- Long period to reach remission
- History of 2 prior depression episodes
- History of early relapse after treatment discontinuation
- Presence of suicidal tendency, symptoms of psychosis,
family history of suicide or mood disorders or comorbid
psychiatric condition.
- Resistance to an antidepressant medication when given at
proper dose and adequate duration.
Therapeutic Options of Patients Suffering
From TRD
The panel experts highlighted the available treatment options for
patients suffering from TRD. The available therapeutic options
are captured in Figure 1.
Pharmacological Strategies in
Treatment-Resistant Depression
Switching Strategies
Switching involves shifting to another antidepressant medication,
either within the same class or from a different class. Switching
to a medication within the same class is undertaken to obtain a
different pharmacological property, while switching to another
class usually yields a different neurochemical effect. This strategy
is tailored to suit individual patient needs and preferences (5).
According to evidence gathered about switching treatment in
TRD; switching has certain pros over augmentation therapy; first
it carries lower risk of drug-drug interactions, has higher patient
adherence, moreover, it is preferred for patients who suffered
severe side effects from first line medication and displayed partial
or no response.
Only two major trials have been conducted to observe
switching of medications in TRD, the first was about patients
who had previously failed two antidepressants (mostly SSRIs)
and were switched to either SSRI paroxetine or SNRI venlafaxine;
response rates were 33 and 52%, respectively while remission
rates were 20 and 42%. Other studies involved switching from
SSRI to extended-release venlafaxine and switching from an SSRI
to mirtazapine or sertraline, both studies showed no significant
difference in depressive symptoms.
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FIGURE 1 | The available therapeutic options for TRD.
The panel experts recommend switching to be carried out in
the following situations:
- Lack of response or poor tolerance to initial treatment
- Prior response to the introduced medication
The clinical experts highlighted 3 different types of switching
strategies, with concurrent switching being the most
recommended, except for medications belonging to monoamine
oxidase inhibitor (MAOIs) class. These strategies are captured in
Figure 2 (32).
Recommendations for switching antidepressant medications
are captured in Figure 3.
Combination Strategies
Combination strategies usually involve using 2 different
antidepressant medications belonging to different classes and
having different pharmacodynamic profiles (33).
The panel recommends the use of combination strategy in
patients with partial response after adequate treatment with a
medication for a period of 2–4 weeks (4–6 weeks if with TCAs).
The recommended first-line combination strategy involves
mirtazapine plus one of the following:
- Selective serotonin reuptake inhibitor.
- Serotonin–norepinephrine reuptake inhibitor.
- Tricyclic antidepressant.
Augmentation Strategies
Augmentation strategies refers to the addition of non-standard
antidepressant medications, like lithium and quetiapine,
to enhance the outcome of classical antidepressants (34).
The panel summarized the medications and lines of choice
in Table 1.
The panel recommends this strategy in patients who
demonstrate partial response after 2–4 weeks of treatment
(4–6 weeks with TCA as they have a delayed effect than
newer agents).
The panel recommends adding lithium or quetiapine to
improve efficacy of the antidepressant medication.
The panel recommends a second choice of thyroid hormone
supplementation in addition to serotonin–norepinephrine
reuptake inhibitors or tricyclic antidepressants, and with
selective serotonin reuptake inhibitors or mirtazapine at a
later stage.
The recommended dose of thyroid hormone supplementation
is between 25 and 60 ug/day of liothyronine (L-T3) and is
required to achieve TSH levels ranging between 0.1 and 1 ug/L.
Prior to initiating treatment, the panel recommends performing
the following assessments:
- Physical examination
- Electrocardiogram (ECG)
- Thyroid-stimulating hormone (TSH) levels.
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Abdel-Wahab et al. TRD: A Guideline for Egyptian Psychiatrists
FIGURE 2 | Schematic diagrams of switching strategies. (A) Concurrent switch is best suited for patients demonstrating partial response, where simultaneous
change in the dose of both medications is implemented. (B) Overlapping switch is suitable for patients who demonstrate partial response, where the dose of the
original medication is maintained until the second medication reaches its optimal dose. (C) Sequential switch is considered to be the safest switching technique, as it
is the least likely to cause any interaction. In this strategy, one medication is substituted with another. This technique is used in patients who do not respond to initial
treatment.
Treatment Sequence for Depression
Dimensions
Major depressive disorder is a multidimensional disorder that
originates from multiple etiologies. The symptom dimension
may act as predictor of antidepressant treatment response (35).
The panel recommendations for the first and second lines
of treatment of several depression dimensions are illustrated in
Table 2.
Brain Stimulation Techniques
The panel selected ECT/BST, and repetitive transcranial
magnetic stimulation (rTMS) as the preferred brain stimulation
techniques that are either used alone or in combination with
antidepressants. The panel agreed that ECT/BST represent
effective approaches to prevent relapse, either alone or in
combination. Recommendations of brain stimulation techniques
are as follows:
BST is recommended for resistant cases after failure of 3
adequately used antidepressants.
Novel Therapeutic Agents
Esketamine
Esketamine, the S enantiomer of ketamine, is a N-methyl-D-
aspartate (NMDA) receptor antagonist that has higher affinity
to the receptor compared to the R enantiomer and the racemic
mixture of ketamine (36). In the form of a nasal spray, this
molecule has recently gained approval in the United States for
the indication of TRD as well as by the EMA in Europe for the
indication of TRD, bringing hope to patients who suffer from the
condition (37).
Esketamine, in combination with SSRIs or SNRIs, is indicated
for the treatment of TRD in patients who did not respond to least
2 different classes of antidepressant medications (38).
Strategies to Prevent Relapse
A relapse is the return of depressive symptoms to patients.
Relapse could be early or delayed. In the former, symptoms return
is expected to be within the first 3–12 months, while the latter
refers to the emergence of new depressive episodes following
remission or initial short-term improvement in symptoms (39).
It is of importance to have measures to prevent relapse from
the first relapse episode. With regard to preventive strategies, the
following has been highlighted:
The panel recommends the use of ECT and lithium as effective
first-line options to prevent relapse.
The panel recommends the use of lamotrigine or quetiapine
as second-line options to prevent relapse.
The panel recommends the following strategies when patients
achieve full remission:
- Continuous assessment of patients’ adherence to treatment.
- Continuous assessment of social functioning of patients.
- Continuous assessment of quality of life (QoL) of patients.
The panel recommends the following complementary
approaches for relapse and recurrence prevention:
- Undertaking regular physical exercises and activities.
- Eating healthy food
- Control physical illness (e.g., hypertension, diabetes, etc.. . . )
DISCUSSION
Treatment resistant depression is regarded as patients failing
2 subsequent antidepressant treatments (38); in Egypt TRD’s
definition is slightly altered to the latter by the addition of
failure of 6–12 sessions of ECT or BST (Brain Stimulation
Techniques). Approximately 60–70% of depressed patients do
not respond to first line treatment and more than a third become
treatment resistant. However, TRD should not be confused with
“pseudo-resistance”. This means that patient-related factors that
might contribute treatment failure should be taken into account
before deeming their depression as “resistant”. These factors are
numerous, however inadequate dosing, compliance, follow-up
and primary mis-diagnosis are prime examples (38). Another
review also added other patient traits; the presence of comorbid
psychiatric illnesses as OCD (Obsessive Compulsive Disorder),
bipolarity, anxiety and eating disorders as well as the presence
of psycho-somatic disorders as Fibromyalgia and IBS (Irritable
Bowel Syndrome), all of which must be assessed carefully (with
several available diagnostic tools) as they may lead to high rates of
depression recurrence and severity; higher severity of depressive
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Abdel-Wahab et al. TRD: A Guideline for Egyptian Psychiatrists
FIGURE 3 | Recommendations for switching antidepressant medications. If patient is responsive continue on current treatment, if not consider combination
strategies** Adapted from the French guidelines. **Combination strategy =The panel recommends the use of combination strategy in patients with partial response
after adequate treatment with a medication for a period of 2–4 weeks.
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Abdel-Wahab et al. TRD: A Guideline for Egyptian Psychiatrists
TABLE 1 | Therapeutic lines in augmentation strategy in non-psychotic patients.
Potentiation treatment
First choice
Lithium with serum level must be at least 0.8 mmol/L
Second generation anti-psychotic with antidepressant action (Quetiapine,
Asenapine, Iloperidone, Brexpiprazole, Laurasidone, Cariprazine)
Second choice
Aripiprazole
Tri-iodothyronine
Lamotrigine
TABLE 2 | Treatment lines recommendations for clinical dimensions in MDD.
Dimension First choice
With marked anhedonia NDRI or SNRI
With marked psychomotor
retardation
SNRI or NDRI
With marked sleep disturbances SSRI or SNRI or Mirtazapine or agomelatine
With atypical features
(hyperphagia, hypersomnia)
SSRI or SNRI
With psychotic features SNRI in monotherapy or SSRI in combination
with an atypical 2nd generation antipsychotic
with an antidepressant action
With anxious features SSRI or SNRI or Mirtazapine or Lithium
With high suicidal risk SSRI or SNRI or Mirtazapine or Lithium or 2nd
generation antipsychotic with an
antidepressant action
Positive family history of bipolar
disorder or suicide
Mood stabilizer (Lithium)
illness and the higher rates of relapses in between remission
periods is definitely a precipitating factor for TRD (39).
The panel urges that patients are monitored for both
psychiatric and somatic diseases; this is reinforced by Kornstein’s
data who reported that patients with hypothyroidism and
depression had higher remission rates when properly
treated for under-active thyroid, this agrees with the panel’s
recommendation in augmenting therapy with T3 hormone
supplementation. Patient history and concurrent medications
must be known as some drugs such as gluco-corticosteroids
and anti-inflammatories are associated with causing depressive
symptoms (39). Ergo, the panel suggests using a list of tools
and tests as MRIs, blood work, organ function tests etc. to
monitor for certain patient conditions that may cause depression
treatment failure or increase severity of the illness.
The panel agrees with the international guidelines for
hospitalization indications in patients with TRD, this is because
hospitalization prevents further complications that may be
caused if TRD and/or its comorbidities are not under continuous
medical supervision (8). A study conducted in Finland on a
population of hospitalized patients as a result of depression
followed-up patients up to 24 years after discharge to evaluate
their outcomes. Of about 15,000 patients followed-up; only 2,567
died by suicide with an overall cumulative risk of suicide of
6.13%; which is considerably lower than depressed patients who
remain unhospitalized (40).
Regarding comorbid mental illnesses with depression
the panel recommends using several drugs in addition to
antidepressants; the anxiolytics used is in line with the Canadian
clinical practice guidelines; generally, benzodiazepines are fit for
all anxiety disorders; Buspirone is indicated for a wide range of
anxiety diseases as panic disorder, social anxiety, OCD (Obsessive
Compulsive Disorder), GAD (Generalized Anxiety Disorder)
and PTSD (Post-traumatic Stress Disorder), Pregabalin however,
is used as second line treatment if first line drugs are not
tolerated. For sleep disorders and self-harm comorbid with TRD,
the panel’s recommendations are based on clinical experience;
which of course at times conflicts with published research. A
Cochrane meta-analysis had similar documented patients who
were prescribed drugs similar to the panel’s recommendations as
atypical anti-psychotics and benzodiazepines for both self-harm
and sleep disorders (41).
Physicians however, must be aware of which drug to add
to the patient’s treatment plan and patient monitoring and
continuous follow-up is crucial to their wellbeing. In Table 3,
the panel has several recommendations of which medications to
prescribe if TRD were associated with any other clinical issue
such as sleep disturbances, suicide ideation, anxious features etc.
Mirtazapine is an excellent antidepressant with a wide array of
indications (and off-label uses) and has demonstrated superiority
to tricyclic antidepressants due to its lack of any anti-cholinergic,
adrenergic and serotonin-mediated side effects; clinical evidence
has proved that it has transferred the treatment of depression.
In comparison to tricyclic antidepressants as amitriptyline,
clomipramine, doxepin and serotonin modulator trazodone, the
clinical effect of mirtazapine was similar and at times superior,
not only that, but it is also strongly advocated in cases of
depression with poor sleep scores in which mirtazapine improved
drastically in comparison to placebo. According to these findings,
mirtazapine’s adverse effects as dry mouth, increased appetite
and weight gain should be weighed together with its high
safety and effective treatment profile, when exploring other
drugs to prescribe/augment/combine with the current treatment
profile (42).
Another interesting agent that can be used and is
recommended by Egyptian psychiatrists is agomelatine,
one of the first melatonergic agents and a 5-hydroxytryptamine
receptor (5-HT2C) antagonist both of which act harmoniously
to adjust disrupted circadian rhythms (sleep cycles) typically
found in depressive illness. As mentioned above, depressed
patients must be closely monitored to avoid any consequences
unintentionally caused by treatment; agomelatine should not be
used in patients with a compromised liver and in healthy patients,
liver function tests must be routinely done at the beginning of
treatment and subsequently at 6 weeks, 12 weeks and 6 months as
recommended by the EMA (European Medicines Agency) (43).
Moving forward, a pharmacological treatment algorithm was
devised as mentioned above in Figure 3; there are several
strategies that physicians can adhere to when approaching
TRD, these include switching, combination or augmentation
strategies. A study in 2001 evaluated patients wth low response
to Fluoxetine 20 mg/day who were switched to mianserin 60
mg/day. The results were intermediate but were still sound with
depression scores lower by 1.8 in the mianserin group than those
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Abdel-Wahab et al. TRD: A Guideline for Egyptian Psychiatrists
TABLE 3 | The main findings of this study.
Area of interest Recommendation
Hospitalization: indications The panel members recommended the consideration of psychiatric hospitalization for the following cases.
- Catatonia
- Patients with high suicidal tendency
- Severe psychotic symptoms
- Advanced cases of MDD
- The presence of severe uncontrolled comorbid medical conditions
- Insufficient familial support to the patient
Therapeutic options for treatment-resistant
depression and comorbid conditions
pharmacotherapeutic options of comorbid
conditions
For patients suffering from comorbid conditions, the expert panel recommends the following:
Patients suffering from anxiety and its features are recommended to receive benzodiazepines. Buspirone and pregabalin are
also available options.
Patients suffering from sleep disorders are recommended to receive adjunctive hypnotic medications, such as zolpidem
or zopiclone.
Patients at high risk of self-inflicted injury are recommended to receive lithium, benzodiazepine, or second-generation
antipsychotic medication.
Treatment duration The clinical committee members recommended that patients are maintained on their ongoing
antidepressant medication for a period of 9–12 months following the achievement of clinical remission.
Patients suffering from the following conditions are recommended to receive a longer course of treatment:
- Long period to reach remission
- History of 2 prior depression episodes
- History of early relapse after treatment discontinuation
- Presence of suicidal tendency, symptoms of psychosis, family history of suicide or mood disorders or comorbid psychiatric
condition.
- Resistance to an antidepressant medication when given at proper dose and adequate duration.
Therapeutic options of patients suffering
from TRD
The panel experts highlighted the available treatment options for patients suffering from TRD. The available therapeutic
options are captured in Figure 1.
Pharmacological strategies in treatment-resistant depression
Switching strategies The panel experts recommend switching to be carried out in the following situations:
- Lack of response or poor tolerance to initial treatment
- Prior response to the introduced medication
The clinical experts highlighted 3 different types of switching strategies, with concurrent switching being the most
recommended, except for medications belonging to monoamine oxidase inhibitor (MAOIs) class. These strategies are
captured in Figure 2 (32).
Recommendations for switching antidepressant medications are captured in Figure 3.
**Combination strategies The panel recommends the use of combination strategy in patients with partial response after adequate treatment with a
medication for a period of 2–4 weeks (4–6 weeks with TCAs).
The recommended first-line combination strategy involves Mirtazapine plus one of the following:
- Selective serotonin reuptake inhibitor.
- Serotonin–norepinephrine reuptake inhibitor.
- Tricyclic antidepressant.
Augmentation strategies The panel recommends this strategy in patients who demonstrate partial response after 2–4 weeks of treatment (4–6 weeks
if on TCAs).
The panel recommends adding lithium or quetiapine to improve efficacy of the antidepressant medication.
The panel recommends a second choice of thyroid hormone supplementation in addition to serotonin–norepinephrine
reuptake inhibitors or tricyclic antidepressants, and with selective serotonin reuptake inhibitors or mirtazapine at a later stage.
The recommended dose of thyroid hormone supplementation is between 25–60 ug/day of liothyronine (L-T3) and is required
to achieve TSH levels ranging between 0.1 and 1 ug/L. Prior to initiating treatment, the panel recommends performing the
following assessments:
- Physical examination
- Electrocardiogram (ECG)
- Thyroid-stimulating hormone (TSH) levels (Table 1).
Treatment sequence for depression
dimensions
The panel recommendations for the first and second lines of treatment of several depression dimensions are illustrated in
Table 2.
Brain stimulation techniques (BST) The panel selected ECT/BST, and repetitive transcranial magnetic stimulation (rTMS) as the preferred brain stimulation
techniques that are either used alone or in combination with antidepressants.
The panel agreed that ECT/BST represent effective approaches to prevent relapse, either alone or in combination.
Recommendations of Brain Stimulation Techniques are as follows: BST is recommended for resistant cases after failure of 3
adequately used antidepressants.
Novel therapeutic agents Esketamine, in combination with SSRIs or SNRIs, is indicated for the treatment of TRD in patients who did not respond to
least 2 different classes of antidepressant medications (38).
Strategies to prevent relapse It is of importance to have measures to prevent relapse from the first relapse episode. With regard to preventive strategies,
the following has been highlighted:
(Continued)
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Abdel-Wahab et al. TRD: A Guideline for Egyptian Psychiatrists
TABLE 3 | Continued
Area of interest Recommendation
The panel recommends the use of ECT and lithium as effective first-line options to prevent relapse.
The panel recommends the use of lamotrigine or quetiapine as second-line options to prevent relapse. The panel
recommends the following strategies when patients achieve full remission:
- Continuous assessment of patients’ adherence to treatment.
- Continuous assessment of social functioning of patients.
- Continuous assessment of quality of life (QoL) of patients.
The panel recommends the following complementary approaches for relapse recurrence prevention:
- Undertaking regular physical exercises and activities.
- Eating healthy food
- Control physical illness (e.g., hypertension, diabetes, etc.…)
who continued on Fluoxetine. The same study also had a third
treatment arm with patients on fluoxetine therapy combined
with mianserin (=combination strategy) in which the depression
score plummeted by 4.6 in the combined treatment group; this
is a commonly observed phenomenon in combination strategies
as both drugs synergistically act to create a larger overall effect
in managing symptoms especially of a multi-modal disease as
depression (44).
Furthermore, augmentation strategy is adding a different
class of medication to a current antidepressant; this was
done in a study where randomized depressed patients who
remitted from ECT.They received placebo, lithium or lithium
with nortriptyline; 84% relapsed on placebo, 60% on lithium
monotherapy and 39.1% on the combination therapy which
consolidates the fact that combination therapy with non-
antidepressant agent proves useful in treatment of depression
as well as preventing relapses (45). There is also evidence that
suggests that Lithium decreases the risk of suicide in depressed
patients (46).
There are other methods of treatment in TRD to resort to such
as ECT (a brain stimulation technique) or the use of esketamine
(a relatively novel therapeutic agent). ECT therapy has long
been recommended by the British guidelines of 2000 for severe
cases of depression especially those who have failed two or more
drugs (TRD), rTMS is recommended second to ECT but must be
done by a team of specialists. Ghasemi made a more interesting
discovery when comparing patients who received three sessions
of ECT vs. those who received low dose esketamine over 3 days;
results supported that both treatments although comparable,
esketamine had a more rapid and more pronounced resolution
of symptoms (47). The use of esketamine is not yet approved
in Egypt; although it has long been approved by the FDA in
the United States and the EMA in Europe for its relative safety
and efficacy; moreover, adverse effects of dissociation, vertigo
and dizziness from esketamine usually resolved on the same
day, shortly after administration; (48) future-wise; the use of
esketamine (only as nasal spray) must be warranted in Egypt
due to its pronounced effect with patients feeling better within
hours of administration and lower relapse rates as maintenance
treatment all of which is vital for a TRD patient.
Following achieving remission for depression; a major
challenge is to prevent relapse of depressive episodes; the use
of lithium is widely agreed upon in patients who were suicidal,
ECT is proposed for patients with frequent relapses. Physiological
wellbeing is also an aspect to be considered; any emerging or
residual mental or physical illness should be tended to in order
to prevent relapse (46).
Like all studies, this study carries its own strengths and
limitations. Surely the first strength of this study is that this is the
first consensus of guidelines between Egyptian psychiatrists for
the treatment of TRD; the panel’s recommendations came from
practicing them on TRD patients in an expert clinical setting.
The limitation of this study is that the panel constituted of only
eight doctors who only represent a small group of psychiatrists
from a much larger number in Egypt; additionally, there is
no scientifically exact or official definition of TRD or for its
treatment of TRD in Egypt or world-wide (internationally) to
base these recommendations on; they were merely observations
collected by the panel experts.
CONCLUSION
The integration of clinical practice with the latest updates of
clinical studies yields the best outcomes for patients. TRD puts
a significant burden on the patient, therefore, it is always best
to manage the condition with careful review and step-wise
approach. The development of recent pharmaceutical options for
patients with TRD ushers a new area to tackle this condition.
DATA AVAILABILITY STATEMENT
The original contributions presented in the study are included
in the article/Supplementary Material, further inquiries can be
directed to the corresponding author/s.
AUTHOR CONTRIBUTIONS
All authors listed have made a substantial, direct, and intellectual
contribution to the work, participated in its writing and approved
it for publication.
SUPPLEMENTARY MATERIAL
The Supplementary Material for this article can be found
online at: https://www.frontiersin.org/articles/10.3389/fpsyt.
2022.797150/full#supplementary-material
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Abdel-Wahab et al. TRD: A Guideline for Egyptian Psychiatrists
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50
Frontiers in Psychology | www.frontiersin.org 1 April 2022 | Volume 13 | Article 807935
ORIGINAL RESEARCH
published: 01 April 2022
doi: 10.3389/fpsyg.2022.807935
Edited by:
Tindara Caprì,
National Research Council of Italy
(CNR), Italy
Reviewed by:
Julian Packheiser,
Ruhr University Bochum, Germany
Natale Adolfo Stucchi, University of
Milano-Bicocca, Italy
*Correspondence:
Yasmina Crespo Cobo
yasmina.cc.mi@hotmail.com
These authors have contributed
equally to this work
Specialty section:
This article was submitted to
Psychology for Clinical Settings,
a section of the journal
Frontiers in Psychology
Received: 02 November 2021
Accepted: 17 January 2022
Published: 01 April 2022
Citation:
Crespo Cobo Y, Kandel S,
Soriano MF and
Iglesias-Parro S (2022) Examining
Motor Anticipation in Handwriting as
an Indicator of Motor Dysfunction in
Schizophrenia.
Front. Psychol. 13:807935.
doi: 10.3389/fpsyg.2022.807935
Examining Motor Anticipation in
Handwriting as an Indicator of Motor
Dysfunction in Schizophrenia
YasminaCrespo Cobo
1
*, SoniaKandel
2†, MaríaFelipaSoriano
3† and
SergioIglesias-Parro
1
1 Department of Methodology of Behavioral Sciences, University of Jaén, Jaén, Spain, 2 Département Parole et Cognition,
Université Grenoble Alpes, Grenoble, France, 3 Mental Health Unit, St. Agustín Universitary Hospital, Linares, Spain
Dysfunction in motor skills can belinked to alterations in motor processing, such as the
anticipation of forthcoming graphomotor sequences. Weexpected that the difculties in
motor processing in schizophrenia would bereected in a decrease of motor anticipation.
In handwriting, motor anticipation concerns the ability to write a letter while processing
information on how to produce the following letters. It is essential for fast and smooth
handwriting, that is, for the automation of graphomotor gestures. In this study, weexamined
motor anticipation by comparing the kinematic characteristics of the rst l in the bigrams
ll and ln written on a digitiser. Previous studies indicated that the downstroke duration of
the rst l is modulated by the anticipation of the local constraints of the following letter.
Twenty-four adult individuals with diagnosis of schizophrenia and 24 healthy adults
participated in the study. The classic measures of duration (sec), trajectory (cm), and
dysuency (velocity peaks) were used for the kinematic analysis of the upstroke (US) and
downstroke (DS). In the control group, the duration of the downstroke of the l was longer
in ln than ll (US: ln = ll; DS: ln > ll) whereas no differences were found for the group with
schizophrenia. Likewise, the control group showed a longer DS trajectory for the l of ln
than ll in downstrokes, while the group of patients failed to show this effect. These results
suggest that the motor alterations in patients with schizophrenia could also affect their
ability for motor anticipation.
Keywords: handwriting, schizophrenia, motor anticipation, motor alterations, kinematical measurement
INTRODUCTION
Experimental and neuropsychological models consider that word writing results from a series
of central and peripheral processes that function according to a hierarchical manner (Van
Galen, 1991; Bonin et al., 2001; Miceli and Capasso, 2006; Damian and Stadthagen-Gonzalez,
2009; Kandel etal., 2011, 2017; Ellis, 2014). e central processes refer to linguistic processing,
such as gearing up the semantic system, syntactic construction, and orthographic retrieval.
e peripheral processes point to the motor-related aspects of letter production, where graphomotor
planning for handwriting takes place. ey are involved in the selection of allographs, where
motor program retrieval takes place, local parameter adjustments and muscular activation
leading to the production of letters (Bertram et al., 2015). e present research focuses on
51
Crespo Cobo et al. Handwriting in Schizophrenia
Frontiers in Psychology | www.frontiersin.org 2 April 2022 | Volume 13 | Article 807935
the latter, lower level peripheral aspects of writing. Of particular
interest for the purpose of the study is the phenomenon of
motor anticipation. Motor anticipation refers to the ability to
predict future behaviors, related to the perception of trajectories
and synchronization of movements (Oña et al., 1999). Motor
anticipation can be considered as a relevant motor-perceptual
process in most learned behaviors (Kandel et al., 2000), and
its dysfunction can be linked to some motor disorders as the
ones observed in schizophrenia (Finney, 2015).
Traditionally, research has employed diverse measures of
handwriting in the study of motor symptoms in psychotic
disorders (Caligiuri etal., 2015; Gawda, 2016). Motor symptoms
were rst studied in psychosis as side eects of the antipsychotic
treatment (Chengappa et al., 1994; Simpson and Lindenmayer,
1997). However, recently, the role of motor symptoms in
psychotic disorders has been revised (Jahn etal., 2002; Rogowska
et al., 2003) and they have been considered as a core feature
in the evaluation and the prognosis of the disorder. In this
regard, they have been detected in antipsychotic naïve patients
with a rst psychotic episode (Peralta et al., 2010), and
handwriting measures have revealed spontaneous motor
abnormalities even in individuals at high risk of psychosis
who have never been in pharmacological treatment (Dean
etal., 2013, 2014). e present study examined a novel measure
of handwriting, motor anticipation in handwriting, in order
to gain insight on motor dysfunctions in schizophrenic patients.
Planning and execution of complex sequences of movements
involve a signicant amount of look-ahead. In fact, units of
motor action being executed oen carry the imprint of yet-to-
be-executed units. More precisely, motor anticipation in ne
motor skills, such as writing, concerns the ability to write a
letter while processing information on how to produce the
following letters. It is essential for fast and smooth handwriting,
that is, for the automation of graphomotor gestures. In this
study, schizophrenic patients and healthy adults had to write
cursive letters on a digitizer. We compared the productions
of the two groups on their ability to anticipate forthcoming
motor sequences in cursive handwriting.
Previous studies carried out by Orliaguet and Boë (1990)
with healthy adults indicated that the anticipation of the local
production constraints of the following letter modulates the
spatio-temporal course of the current movement. ese authors
compared the kinematic characteristics of the rst l in bigrams
ll and ln written on a digitizer (Figure 1).
ey observed that the anticipatory processing of changes
in size and rotation direction of the n increased the downstroke
duration of the l with respect to the rst l of ll, where the
same motor program is reproduced (Orliaguet and Boë, 1990;
Boë etal., 1991). Furthermore, Kandel and Perret (2015) studied
motor anticipation in children at the period of writing automation.
Children of ages 8, 9, and 10 years wrote bigrams ll, le, ln in
cursive writing on a digitizer. ey analyzed the duration,
trajectory, and dysuency of the rst letter l, both on the
upstroke and downstroke. ey found that at all ages, the l’s
downstroke duration was shorter for ll than le and the latter
was in turn shorter than ln. is modulation of the l duration
reects that during this downstroke movement, the children
were processing in advance the following letter. e measures
of the length of the paths of the children’s productions further
revealed that the trajectories of the l of ll were shorter than
those of the l of bigrams le and ln. e dysuency data—
measured as the number of absolute velocity peaks in the
velocity prole for each stroke—indicated that at age 8, dysuency
values were equivalent for upstrokes and downstrokes, whereas
children of ages 9 and 10 years old showed more dysuency
on downstrokes than upstrokes. is experiment suggested that
learning to anticipate in handwriting production requires:
(a) rendering the movements to produce the upstroke constant;
and (b) modulating the downstroke as a function of the spatial
characteristics of the following letter. e pattern of movement
time data suggested that motor anticipation would start to
be adult-like at around age of 9. In other words, motor
anticipation is already present at age 8 and is a core component
of the automation process of handwriting production.
Motor anticipation has also been studied in Parkinson’s
patients (Bidet-Ildei etal., 2011). In this study, motor anticipation
of the control group was compared with the clinical sample
before and aer a treatment phase of dopaminergic medication
or bilateral deep brain stimulation. e results showed that
the control group participants exhibited signs of anticipation
whereas Parkinson’s patients did not. More specically, the
downstroke duration of the rst l of the healthy adults increased
as the constraints of the following letter increased, such that
(ll < le < ln). In the group of patients, there were no dierences
in the duration of the downstroke between dierent conditions.
However, aer treatment, the patients did exhibit a decrease
of the l downstroke duration when it was followed by another l.
As mentioned above, motor anticipation is a key process
for handwriting automation. e production of a movement
while anticipating the requirements of the following motor
sequence facilitates a smooth handwriting and, as motor demands
are reduced, more cognitive resources can bedevoted to higher
order processes, such as linguistic or conceptual processes.
erefore, a poor motor anticipation would result in poor
FIGURE1 | Bigrams ll and ln. The upstroke refers to the ascending stroke
and the downstroke to the descending stroke.
52
Crespo Cobo et al. Handwriting in Schizophrenia
Frontiers in Psychology | www.frontiersin.org 3 April 2022 | Volume 13 | Article 807935
execution of handwriting and other cognitive–motor tasks
(Lozano and Acosta, 2009; Blanchard et al., 2011; Fett et al.,
2011). is can be observed in some mental disorders, such
as in schizophrenia, which is characterized by a wide variety
of cognitive and motor decits. Besides this, schizophrenia is
associated with increased involuntary movements (Pappa and
Dazzan, 2009) and with neurological abnormalities in sensory
integration, motor coordination, sequencing complex motor
acts, and primitive reexes (Bombin et al., 2005). erefore,
motor-related decits associated with schizophrenia could aect
the processes involved in automation during handwriting. e
main objective of the present research was to examine motor
anticipation in handwriting in schizophrenia. Wehypothesized
that patients with schizophrenia would not beable to anticipate
the production of forthcoming movements. is would result
in an absence of modulation of the kinematic patterns of the
downstroke of the rst letter of the sequence.
As in previous experimental studies on motor anticipation,
we followed the methodology presented by Orliaguet and Boë
(1990). We measured motor anticipation by comparing the
kinematic characteristics of the rst l in the bigrams ll and
ln. e classic measures of duration (movement time in seconds),
trajectory (path in cm), and dysuency (number of velocity
peaks) were used for the kinematic analysis of the upstroke
(US) and the downstroke (DS; see Figure1). Motor anticipation
would bereected in a modulation of the kinematic parameters
of the DS of the rst letter, depending on the following letter
(l vs. n). As in the studies with adults (Orliaguet and Boë,
1990; Bidet-Ildei etal., 2011) and children (Kandel and Perret,
2015), the bigram was written in cursive handwriting on a
digitizing tablet. Wepredicted that the diculties in the cognitive
processes involved in ne motor production in schizophrenia
would bereected in a decrease or absence of this modulation.
MATERIALS AND METHODS
Participants
Twenty-four adult individuals attending the Mental Health Day
Unit at the University St. Agustin Hospital (Spain) participated
in the study. Inclusion criteria were ICD-10 diagnosis of
schizophrenia (F20), and age between 20 and 55 years old
(M = 37.29; SD = 9.58). Diagnosis of participants was made using
a semi-structured interview (SCID-I) according to ICD-10
criteria by the psychiatrist or clinical psychologist in charge
of the patient. Out of the 24 participants, 17 (70.8%) were
male. Twenty-two participants were right-handed whereas 2
were le-handed. eir mean illness duration was 15.36 years
(SD = 10.11). Due to the fact that in Spain there have been
dierent education regulations in the last years, wetransformed
the academic degree reported by the participants in the number
of years needed to obtain it. According to this criterion, the
average number of years in the formal education system in
this group was 10.79 (SD = 4.48 years). To try to better characterize
the educational level of the participants, we categorized the
number of years in the educational system into three other
categories: low educational level (from 0 to 6 years in the formal
educational system), medium educational level (from 7 to
12 years), and high educational level (more than 13 years).
According to these categories, the sample of patients included
12.5% with a low educational level, 62.5% with a medium
level, and 25% with a high level. ere were no patients who
suered from Tardive Dyskinesia: All patients had absent or
minimal symptomatology (a score of 0 or 1 in the items of
the AIMS). In order to compare doses of antipsychotic treatment,
weused Chlorpromazine equivalence (CPZE). CPZE is dened
as the dose of a drug which is equivalent to 100 mg of oral
dose of chlorpromazine (779.37, SD = 419.28).
e SAS rating scale was used for assessment of drug-
induced parkinsonism (Simpson and Angus, 1970). is scale
is used in both clinical practice and research settings, and it
is composed of 10 items: one item measures gait (hypokinesia),
six items measure rigidity, and three items measure glabella
tap, tremor, and salivation. For each item, the severity of the
symptoms was rated from 0 (none) to 4 (severe). A score of
1 in an item indicated the presence of motor symptoms in a
mild form. A mean global score of 3 or more in the full test
was used as a threshold to indicate the presence of the
extrapyramidal symptoms in a mild form (Ayehu etal., 2014).
e mean obtained in our sample was 3.21 (SD = 5.09).
To assess clinical symptoms of schizophrenia, we applied
the Spanish version (Peralta and Cuesta, 1994) of the Positive
and Negative Syndrome Scale (PANSS; Andreasen and Olsen,
1982; Kay etal., 1987). e PANSS is a 30-item rating instrument
comprising three subscales: the seven-item Positive Symptoms
subscale (PANSS-P), the seven-item Negative Symptoms subscale
(PANSS-N), and the 16-item General Psychopathology subscale
(PANSS-G). All 30 items are rated on a seven-point scale
(1 = absent to 7 = extreme). Obtained results were M = 16.04,
SD = 5.39 for PANSS-P, M = 20.22, SD = 6.96 for PANSS-N, and
M = 33.86, SD = 10.00 for PANSS-G.
In order to exclude patients with gross motor dysfunctions,
wemeasured nger and hand dexterity with the Purdue Pegboard
test (Tin and Asher, 1948; Tin, 1968). is board consists
of two parallel rows of 25 holes each. Pins (pegs) are located
at the extreme right-hand and le-hand cups at the top of
the board. Metal collars and washers occupy the two middle
cups. In the rst three subtests, the subject places as many
pins as possible in the holes, rst with the preferred hand
(dominant), then with the non-preferred hand (non-dominant),
and nally with both hands, within a 30-s time period. To
test the right hand, the subject must insert as many pins as
possible in the holes, starting at the top of the right-hand
row (M = 13.74, SD = 8.65). e le-hand test uses the le row
(M = 10.73, SD = 2.95). Both hands then are used together to
ll both rows top to bottom (M = 8.01, SD = 2.25). In the fourth
subtest, the subject uses both hands alternately to construct
“assemblies,” which consist of a pin, a washer, a collar, and
another washer. e subject must complete as many assemblies
as possible within 1 min (M = 28.59, SD = 9.23). We did not
exclude any participants based on their scores on this test.
For the control group, 24 adults were recruited from the
University of Jaén and an adult school of Jaén. e inclusion
criterion was that age was between 20 and 60 years (M = 36.83 years
53
Crespo Cobo et al. Handwriting in Schizophrenia
Frontiers in Psychology | www.frontiersin.org 4 April 2022 | Volume 13 | Article 807935
old; SD = 12.83 years old). Out of the 24 participants, 14 were
male. All of the participants were right-handed. Regarding
educational level, 3 participants had low level, 8 medium and
19 participants had high education level (M = 13.25, SD = 10).
Importantly, there were no signicant dierences between groups
on age (t = 1.73, p = 0.08), sex (χ2 = 0.82, p = 0.36) or educational
level considered either as the number of years in the educational
system (t = 1.1.59; p = 0.12) or categorized in low, medium or
high level (χ2 = 4.70, p = 0.09).
Exclusion criteria for both groups were: concurrent diagnosis
of neurological disorder, concurrent diagnosis of substance
abuse, history of developmental disability, inability to sign
informed consent or vision disorders (those vision disorders
which, although corrected by glasses or contact lenses, suppose
a loss of visual acuity, e.g., cataracts). In addition, an exclusion
criterion for the control group was the diagnosis of a mental
disorder (according to verbal reports from participants).
All participants gave their written informed consent according
to the Declaration of Helsinki and the Ethics Committee on
Human Research of the Hospital approved the study.
Procedure and Data Analysis
Participants were asked to perform an easy and brief handwriting
task. A A4 paper was axed to the surface of a WACOM
(Intuos pro small) digitizing tablet with dimensions of
269 × 170 × 8 mm (10.6 × 6.7 × 0.3 in), w ith an active area of
160 × 100 mm (6.3 × 3.9 in) and a resolution of 5,080 lpi. e
dierent bigrams (ll, ln) were presented randomly on a computer
screen, and participants were required to write the bigrams
using this paper, with a Wacom Pro Pen 2 (KP504E) digital
pen with 8192 levels of pressure sensitivity. Handwriting tasks
were carried out individually. e task had no time limit.
We measured three dependent variables: the time per stroke
(Duration, seg.), the path of the pen for each stroke (Trajectory,
cm), and the number of velocity peaks (Disuency).
For each of these dependent variables, we run separate
mixed models with Group, Direction and Bigram as independent
variables. Random intercepts were included for subjects. Analyses
were done in R [R Core Team (2020)] using the lmer() function
of the lme4 package (Bates et al., 2015). We utilized the
restricted maximum likelihood as the estimation procedure
and the Welch–Satterthwaite (Luke, 2017) approximation of
the degrees of freedom because of our relatively small sample
size (Gumedze and Dunne, 2011).
RESULTS
Duration
Figure 2 presents mean movement time per stroke across
trials, as a function of group (Schizophrenia-SCZ vs. Control-
CTRL), stroke direction (downstroke-DS vs. upstroke-US),
and type of bigram (ll vs. ln). e ANOVA on duration
revealed a signicant eect was found for Direction [F(1,
138) = 4.83, p = 0.029,
η
p
20
=.033], indicating a longer duration
for DS (M = 0.21, SD = 0.01) than US (M = 0.20, SD = 0.01).
A signicant eect was also found for Bigram [F(1, 138) = 11.69,
p < 0.01,
η
p
2=
0.078], indicating a longer duration for ln
(M = 0.21, SD = 0.11) than for ll (M = 0.19, SD = 0.09). e
interaction Group by Direction by Bigram was also signicant
[F(1, 138) = 4.39, p = 0.037,
η
p
2=
0.031]. No other eects
were signicant.
In order to analyze the Group by Direction by Bigram
interaction, weconducted pairwise comparisons using emmeans
function in R (Russell Lenth, 2020). In the control group,
we found no signicant dierences in US between LL and
LN (t < 1), but we found signicant longer duration for LN
than for LL (t = 3.32, p = 0.24) in DS. In the schizophrenia
group, wefound no signicant dierences were found between
LL and LN (t < 1) neither in US (t= 2.18, p = 0.36) nor in
DS (t = 1.20, p = 0.93).
Trajectory
Figure3 presents the mean Trajectory each stroke across trials,
as a function of group (Schizophrenia-SCZ vs. Control-CTRL),
stroke direction (downstroke-DS vs. upstroke-US), and type
of bigram (ll vs. ln). Error bars represent standard error. e
ANOVA showed a signicant eect of Group [F(1, 46) = 12.68,
p < 0.01,
η
p
2=
0.216] indicating longer trajectory in the SCZ
group (M = 0.84, SD = 0.23) than the Control group (M = 0.65,
SD = 0.18). A marginally eect was also found for Type of
bigram [F(1, 138) = 3.64, p = 0.058], indicating a longer trajectory
for ln (M = 0.76, SD = 0.25) than for ll (M = 0.73, SD = 0.19).
e interaction Group by Direction was signicant [F(1,
138) = 5.87, p < 0.016,
η
p
2040
=
.
]. e interaction Group by
Direction by Bigram was also signicant [F(1, 138) = 3.91,
p < 0.049,
η
p
2027
=
.
]. No other eects were signicant.
In order to analyze the Group by Direction by Bigram interaction,
we conducted pairwise comparisons using emmeans function in
R (Russell Lenth, 2020). In the control group, wefound no signicant
dierences in DS between LL and LN (t = 1.98, p = 0.49), but
wefound signicant longer duration for LN than for LL (t= 3.32,
p= 0.24) in US. In the schizophrenia group, wefound no signicant
dierences were found between LL and LN (t < 1) neither in US
(t = 2.18, p = 0.36) nor in DS (t = 1.20, p = 0.93) .
Disuency
Figure 4 presents mean Dysuency values as a function of
group (Schizophrenia-SCZ vs. Control-CTRL), stroke direction
(downstroke-DS vs. upstroke-US), and type of bigram (ll vs.
ln). e results yielded a signicant Group eect [F(1, 48) = 4.34,
p = 0.042,
η
p
2082
=
.
] indicating more dysuency in the SCZ
group (M = 1.47, SD = 0.98) than in the Control group (M = 1.09,
SD = 0.24). A signicant eect was also found for Direction
[F(1, 144) = 6.31, p = 0.013,
η
p
2041=.
], indicating more velocity
peaks for the DS (M = 1.33, SD = 0.81) than US (M = 1.22,
SD = 0.61). No other eects were signicant.
Finally, correlations were carried out between the dierent
measures from motor evaluation scales, psychopathology scales,
and other characteristic variables of the disorder (illness duration,
educational level or pharmacological treatment doses), and the
kinematic measures of handwriting (see Figure 5). We found
54
Crespo Cobo et al. Handwriting in Schizophrenia
Frontiers in Psychology | www.frontiersin.org 5 April 2022 | Volume 13 | Article 807935
no signicant relationships between kinematic measures of
handwriting and the rest of variables, except for Trajectory,
which correlated with motor functioning values from the Purdue
test: patients with a worse motor function showed longer
trajectories in handwriting.
DISCUSSION
Handwriting becomes automatic with practice. Motor automation
is essential to free up cognitive and attentional resources for the
rest of the components of handwriting: conceptual planning,
FIGURE2 | Mean movement time per stroke (Duration, sec.) across trials, as a function of group (Schizophrenia-SCZ vs. Control-CTRL), stroke direction
(downstroke-DS vs. upstroke-US), and type of bigram (ll vs. ln). Error bars represent standard error.
55
Crespo Cobo et al. Handwriting in Schizophrenia
Frontiers in Psychology | www.frontiersin.org 6 April 2022 | Volume 13 | Article 807935
syntactical construction, lexical selection, etc. In adult cursive
handwriting, movements are smooth and continuous. Part of
this continuity is due to motor anticipation. It allows for the
programming of the graphomotor constraints of the following
stroke while executing the previous one. Since letters vary in
size and direction of the stroke when they are written in lowercase,
the anticipation of these variations requires a supplementary
cognitive load while preparing the production of the following
FIGURE3 | Mean trajectory (path in cm of the pen) for each stroke across trials, as a function of group (Schizophrenia-SCZ vs. Control-CTRL), stroke direction
(downstroke-DS vs. upstroke-US), and type of bigram (ll vs. ln). Error bars represent standard error.
56
Crespo Cobo et al. Handwriting in Schizophrenia
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letter. is anticipation modulates the spatio-temporal course of
the production movement, which can be observed in some
kinematic parameters of handwriting. Based on this idea, and
following the experimental paradigm presented by Orliaguet and
Boë (1990), the present research evaluated motor anticipation
in patients with schizophrenia and controls. We measured the
kinematic variations in the upstroke (US) and downstroke (DS)
of the rst letter l of a bigram, as a function of the graphomotor
FIGURE4 | Mean Dysuency (number of velocity peaks) across trials, as a function of group (Schizophrenia-SCZ vs. Control-CTRL), stroke direction (downstroke-
DS vs. upstroke-US), and type of bigram (ll vs. ln). Error bars represent standard error.
57
Crespo Cobo et al. Handwriting in Schizophrenia
Frontiers in Psychology | www.frontiersin.org 8 April 2022 | Volume 13 | Article 807935
constraints of the following letter. Motor anticipation implies a
modulation of the duration of the descending stroke as a function
of size and rotation direction of the following letter (e.g., Kandel
and Perret, 2015). If the forthcoming letter requires a change
in size and direction from one letter to the other as in ln, the
cognitive load is usually reected in an increase in the duration
of the descending stroke compared to a bigram in which the
same motor program is repeated as in ll.
e results supported our main hypothesis: patients with
schizophrenia did not exhibit any sign of motor anticipation.
In the control group instead, changes in letter size and direction
increased the downstroke duration of the rst l, whereas for
the upstrokes it remained unaected (l US: ln = ll; l DS: ln > ll).
e fact that the duration of the downstroke increases as the
spatial parameters of the following letter change, is interpreted
as a sign of motor anticipation. ese results contrast with
those of the schizophrenia group: no dierences were found
in duration according to the type of bigram (ll = ln) or stroke
direction (US = DS); interaction type of bigram and direction
failed to reach signicance (US: ln = ll; DS: ln = ll).
Stroke duration seems to be the most sensitive kinematic
measure of motor anticipation according to previous research
(Orliaguet and Boë, 1990; Bidet-Ildei et al., 2011; Kandel and
Perret, 2015). ere are several brain structures involved in
handwriting that are disrupted in schizophrenia, but it is the
basal ganglia that have been mostly related to the deautomatization
of writing. is dysfunction of the basal ganglia can result in
a general impairment in motor planning and coordination. is
impairment, associated to a delay in corrective movements, could
cause a segmentation of sequential movements and disrupt motor
anticipation in handwriting (Pantelis et al., 1992; Lange et al.,
2006; Smiley-Oyen et al., 2007; Bidet-Ildei et al., 2011).
e trajectory results also reect this kind of impairment in
motor anticipation in the patients. e control group produced
FIGURE5 | Spearman coefcients for CPZ, educational level, illness years, PURDUE, SAS, PANSS, and the handwriting variables.
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Crespo Cobo et al. Handwriting in Schizophrenia
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longer trajectories for the DS of the l of ln than ll and no
dierences in US, while the group of patients failed to show this
eect. ese results can be interpreted as another sign of motor
anticipation in healthy people compared to patients with
schizophrenia. Although previous studies have not found this
trajectory modulation, our data clearly support that anticipation
can also be reected in the trajectory of the stroke. We also
found that the strokes in the schizophrenia group were in general
longer than the strokes in the control group. is result is consistent
with previous studies that report the presence of macrography
in schizophrenia (Gallucci etal., 1997; Caligiuri etal., 2015; Kömür
et al., 2015). Of particular interest are those studies that relate
a decrease in the size of handwriting with dopamine D2 receptor
occupancy aer risperidone treatment (Kuenstler et al., 1999;
Regenthal etal., 2005). Future research could deepen these results.
Finally, the uency measure (i.e., the number of velocity peaks)
was not sensitive to motor anticipation, although the patients
exhibited more dysuency than controls. is is in line with
previous studies revealing more dysuent movements in
handwriting in patients with schizophrenia and related disorders
(Lohr and Caligiuri, 2006; Caligiuri et al., 2015; Crespo et al.,
2019). In general, dysuent movements occur when the muscles
that coordinate the movements receive dysregulated signals from
the basal ganglia (Caligiuri et al., 2009, 2010). Whether
operationalized as absolute velocity peaks or acceleration changes
over time, dysuency in handwriting is always present in
schizophrenia. e fact that in our study the schizophrenia group
presented greater trajectory length and more dysuency is a sign
of a general motor impairment in this disorder.
It is also noteworthy that we did not observe any relation
between psychotic symptoms, pharmacological treatment, and
demographic variables and kinematic measurements. We can
therefore discard that the groups dierences in motor anticipation
could be due to psychomotor slowing related to the evolution
of the disorder, It is also noteworthy that wedid not observe
any relation between psychotic symptoms, pharmacological
treatment, and demographic variables and kinematic
measurements. We can therefore discard that the groups
dierences in motor anticipation could bedue to psychomotor
slowing related to the evolution of the disorder, but not to
the pharmacological treatment or another demographic variables.
However, we think that the absence of motor anticipation in
patients is not caused by pharmacological treatment. First,
drug induced parkinsonism consists of a number of motor
symptoms, such as rigidity, bradykinesia, and tremor, but, to
our knowledge, decits in motor anticipation have never been
considered as a symptoms of parkinsonism. Parkinsonism
could bereected in some characteristics of patients handwriting,
for example, velocity, trajectory or uency, but it would
be reected in a group eect, not in an interaction between
these characteristics and bigram or direction. at is,
parkinsonism could bereected in patients handwriting being
slower than controls handwriting, but, in our opinion, it has
no sense that a dierence between patients and controls only
in upstrokes but not downstrokes would reect parkinsonism.
us, we interpreted that, in our study, results in uency
reect parkinsonism (idiopathic or drug-induced), but results
in duration and trajectory (where we found and interaction
between group, direction, and bigram) reect a specic decit
in motor anticipation.
In summary, patients with schizophrenia fail to show the
typical motor anticipation eect in handwriting, evidenced by
a modulation of duration of the rst letter of the bigram as
a function of spatial constraints of the second letter. In a
broader sense, this research constitutes further evidence in
favor of the analysis of handwriting as a quantitative, objective,
and reliable tool to detect motor alterations in schizophrenia.
Traditionally, the assessment of motor alterations has been
carried out by means of observation scales, such as the Simpson-
Angus Scale (SAS) and the Abnormal Involuntary Movements
Scale (AIMS). However, some studies have highlighted the
insucient predictive value of these scales, a low specicity
(Blanchet et al., 2012) and an acceptable reliability only if the
evaluation is performed by trained evaluators (Lane etal., 1985;
Tonelli et al., 2003). e analysis of handwriting on digitizing
tablets allows us to extract a number of handwriting measures
that can reveal dierent cognitive and motor processes disrupted
by the disorder.
DATA AVAILABILITY STATEMENT
e datasets analysed during the current study are available
from the corresponding author on reasonable request.
ETHICS STATEMENT
e studies involving human participants were reviewed and
approved by Comité de ética de la investigación de Jaén, Junta
de Andalucía. e patients/participants provided their written
informed consent to participate in this study.
AUTHOR CONTRIBUTIONS
All authors listed have made a substantial, direct and intellectual
contribution to the work, and approved it for publication.
FUNDING
is research was funded by Junta de Andalucía (Biomedical
and Heath Science research project PI-0410-2014, PI-0386-2016
and AP-0033-2020-C1-F2) and PID2019-105145RB-I00/Agencia
Estatal de Investigación AEI/10.13039/501100011033. e funders
had no role in study design, data collection, and analysis,
decision to publish, or preparation of the manuscript.
ACKNOWLEDGMENTS
is paper would not have been possible without the exceptional
support of Diego Armando Acevedo, doctoral student of
University of Jaén, and Gipsa Laboratory of Grenoble, where
part of this investigation has been made.
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61
ORIGINAL RESEARCH
published: 18 May 2022
doi: 10.3389/fpubh.2022.890960
Frontiers in Public Health | www.frontiersin.org 1May 2022 | Volume 10 | Article 890960
Edited by:
Carmen María Galvez-Sánchez,
University of Jaén, Spain
Reviewed by:
M. Rudi Irwansyah,
Ganesha University of
Education, Indonesia
Alexander Kuroyedov,
Pirogov Russian National Research
Medical University, Russia
Nileswar Das,
All India Institute of Medical
Sciences, India
*Correspondence:
Tianjun Liu
liutj2911@126.com
Specialty section:
This article was submitted to
Public Mental Health,
a section of the journal
Frontiers in Public Health
Received: 07 March 2022
Accepted: 19 April 2022
Published: 18 May 2022
Citation:
Tao Y, Chen Y, Zhou W, Lai L and Liu T
(2022) The Effectiveness of the
Moving to Emptiness Technique on
Clients Who Need Help During the
COVID-19 Pandemic: A Real-World
Study.
Front. Public Health 10:890960.
doi: 10.3389/fpubh.2022.890960
The Effectiveness of the Moving to
Emptiness Technique on Clients Who
Need Help During the COVID-19
Pandemic: A Real-World Study
Yanqiang Tao 1, Yi Chen 2, Wen Zhou 3, Lihui Lai 4and Tianjun Liu 5
*
1Beijing Key Laboratory of Applied Experimental Psychology, School of Psychology, Beijing Normal University, Beijing, China,
2School of Psychology, Nanjing Normal University, Nanjing, China, 3Yikong Skill Research Institute, Nanjing, China, 4School
of Continuing Education, Guangzhou University, Guangzhou, China, 5School of Acupuncture-Moxibustion and Tuina, Beijing
University of Chinese Medicine, Beijing, China
With Western therapeutic techniques prevailing in Chinese therapies, some techniques
that include Chinese traditional cultural features are required since some cultural factors
are not considered in the Western method. Our study introduced a new technique, the
moving to emptiness technique (MET), which combines Western structural progress
and core factors of Chinese culture. Seventeen therapists treated 107 clients with
the MET. Clients reported their target symptoms initially, and therapists helped them
transfer invisible symptoms to perceivable stuff and remove their jarring stuff using the
psychological emptiness area. At the end of the consultations, we found that MET
could eliminate symptoms immediately. By grouping target symptoms according to their
frequency, the results showed that clients in the high-frequency symptom group had
higher rehabilitation rates than those in the low-frequency symptom group. Additionally,
the results of the bereavement group were better than those of the non-bereavement
group, indicating that the MET can significantly alleviate clients’ target symptoms. In
future studies, the replication and stability of the MET can be assessed by integrating
questionnaires, experimental designs, and neurological equipment.
Keywords: moving to emptiness, COVID-19, psychological consultation, clients, Chinese traditional cultural
“There is no Bodhi tree, mirror, or stand. Originally, there was nothing around us. Therefore, no dust
will fall.” Hui Neng, the founder of Zen Buddhism.
INTRODUCTION
There are many psychosomatic symptoms in the community as a result of the COVID-19
pandemic, such as panic, tension, melancholy, and helplessness. Therefore, China has paid
increasing attention to providing psychological therapy for those with mental health problems.
However, most therapists in China still use Western therapies, which leads to some cultural
maladjustment. Because of this, some experts in China are now researching the application
of Chinese traditional philosophy and culture in Western structural therapies. The moving to
emptiness technique (MET) has become a choice for therapists in this context.
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Tao et al. Moving to Emptiness Technique Clients
THE THEORETICAL FOUNDATION OF THE
MET
In one branch of Chinese philosophy, nothing exists around
us. Anything that disturbs us comes from our inner world.
Therefore, if we put any of our problems into a more extensive
context, the so-called emptiness state, our mental troubles will
no longer exist. Clinical psychology is regarded as a valuable field
for all human beings in China, even if the research method is
still new. Moreover, China has a long history of psychological
thinking, which can be traced back to various traditional
philosophical and medical works (1,2). Confucianism, Taoism,
and Buddhism are three philosophical branches that impact
Chinese civilization on a large scale. As mentioned earlier,
poems are common in modern China, in which principles
lay a solid foundation for Chinese people’s faith and actions.
Additionally, these philosophical ideas have influenced the
Chinese medical system since ancient times, especially in treating
mental disorders and illnesses and cultivating a healthy life. The
MET is one therapeutic skill that applies the essence of traditional
Chinese philosophical thinking and cultivates medical systems in
clinical therapies (3).
Structural therapeutic techniques, such as cognitive behavioral
therapy, [CBT, (4)] and non-structural therapeutic techniques,
such as psychoanalysis, are two main methods that are
popular among therapists. CBT is a type of therapy in which
therapists focus on how clients’ dysfunctional beliefs affect
their current behaviors and functions (5). CBT helps clients
explore, challenge, and modify their dysfunctional beliefs,
which is called cognitive restructuring, and can transfer the
distorted way they interpret reality into a more adaptive
direction. CBT offers an operational structure for therapists
to lead clients in identifying their beliefs and core values
and then better revise them by considering new possibilities
(6).
Therapists who apply CBT assign homework outside of
therapeutic sessions for clients to experience the value of the
proposed changes that were developed through the collaboration
between therapists and clients in therapeutic sessions. Instead
of revising and restructuring the cognitive system or locus
of attention, the MET aims to eliminate negative feelings
represented by target symptoms. Taking the structure of CBT
into account, the MET is a psychosomatic treatment that includes
the academic concept of Chinese medicine in which the priority
in treating a mental disorder is to heal the mind. In summary,
the MET integrates traditional Chinese culture while preserving
somatic relaxation and the operational process of CBT.
In 2019 and 2021, the MET operational manual was published
in Chinese (7) and German, respectively. The MET goes
beyond structural therapy abilities and includes attempts to
discover clients’ target symptoms to reduce the symptoms in
a broader psychological context. Before therapeutic sessions,
therapists help clients relax and lead them in being mindful
of their emotions. Following this, the therapists guide the
clients to identify and express their target symptoms and
place them in appropriate “containers”. With guidance, the
clients can move these containers back and forth before their
psychological symptoms occur, and then put them even further
away until they disappear in a psychological emptiness area.
Using ten operational steps (see Section Measures Consultation
Step), the MET, a psychosomatic therapy, can reduce or
eliminate symptoms.
Compared to Western psychotherapies that focus on
“existence, Chinese therapeutic skills involve both “emptiness”
and “existence.” “Emptiness” is a status in which only
consciousness exists. At the same time, the existence
mentioned here refers to transforming one mood into
another or surmounting one without removing anything;
for example, transforming a negative mood into a positive
mood or overcoming sickness through wellness. In comparison,
“emptiness” here relates to psychological emptiness. When a
client in a bad mood enters the consultant room, a therapist
who uses CBT will guide him or her to identify and restructure
the maladaptive cognitive system. Therefore, an unchanged
bad mood is covered by a good mood. Once a therapist applies
the MET in counseling, the client will be guided to a state of
psychological emptiness where the bad mood will disappear. If
we describe the so-called state of emptiness in English, it is a
neutral, non-positive, and non-negative state of existence instead
of a state of action.
The psychological emptiness area can be regarded as a purely
mental and emotional condition without any troubles. What
must be mentioned here is that clients use their psychological
emptiness area to solve their problems, which does not depend
on their defensive mechanisms, such as denial, repression,
projection, avoidance, transference, replacement, or sublimation.
Their troubles are directly absorbed, accepted, and processed
rather than being rejected or disguised.
The psychological emptiness area can provide cures because
it is an infinite psychological space without any trouble to which
therapists can guide clients. Therefore, the problems are put in
psychological emptiness, a broader background, which vanish
automatically using this skill. For example, if one spoon of
salt dissolves in a cup of water, the water will be brackish.
Nevertheless, the taste will not change much when the salt is
put into one water tank. Moreover, if it is poured into one lake,
nothing will change. Theoretically, once a mental disorder can
be put into a person’s massive psychological emptiness area, it
can disappear automatically. In traditional Chinese medicine,
the psychological emptiness area is widely proposed for solving
psychological troubles (3). The MET provides clear, fast, and
practical guidance to enter the psychological emptiness area.
It is not only an innovative and non-antagonistic idea but
also a particular way for problem solving. Moreover, the entire
methodology includes Chinese traditional ideology and wisdom
by summarizing the core of the ancient Chinese medical system.
GOALS OF TREATMENT WITH THE MET
As mentioned above, the main difference between the MET
and CBT is that the MET directly targets symptom reduction,
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Tao et al. Moving to Emptiness Technique Clients
while CBT focuses more on restructuring the cognitive or
emotional systems.
Thus, to test the effectiveness of the MET in practical
counseling applications, we sampled 107 subjects to assess
whether it could work effectively for the entire group. The index
of influence was used as the criterion. We first analyzed the
immediate and long-term counseling effects of the MET using a
paired-samples t-test. To specify the effectiveness of the MET for
different symptoms, we classified all target symptoms reported
into two categories based on a high and low frequency of the top
three body parts with the highest presence of symptoms. Since
we conducted our research during the COVID-19 pandemic,
with clients losing beloved family members, we obtained the
clients’ familial information before treatment. Based on their
backgrounds, we divided them into two groups, the bereavement
group or the non-bereavement group, to determine whether the
MET has different effects.
METHODS
Participants and Consultations
Participants
We started our study during the COVID-19 pandemic and
recruited 107 participants and a total of 17 psychotherapists
in mainland China. Notably, some detailed procedures for
participants recruitment need to be introduced. Firstly, the
present study was an open program to those who require trauma
healing treatments due to the COVID-19 pandemic on mainland
China and offers them psychological counseling services without
requiring a clinical diagnosis at the time of enrollment. However,
certain criteria must still be met: experiencing a distressed state
of mind during the epidemic, including physical pain such as
insomnia, headaches, and chest tightness, as well as negative
emotions such as fear, anxiety, guilt, self-blame, irritability,
loneliness, and sadness, as well as a desire to improve the
psychosomatic condition. Clients in a psychoactive phase or who
were unable to complete the three relaxation steps of MET and
required crisis assistance were excluded.
We publicized recruitment advertisements on one online
platform, and all participants joined voluntarily. The ethics
committee of the corresponding author’s university approved this
research (Reference Number: H20006, ChiCTR2000034164).
Consultation Steps
The Trio (Body, Mind, and Breath) Relaxation Exercise
Regulate the body: Shake and relax the body, sit in the first 1/3 of
the chair in a comfortable position with the neck and shoulders
relaxed. Straighten the waist and back and then rest both hands
on the thighs and close the eyes.
Regulate the breath: Breathe deeply, slowly, and naturally.
There is no need to fill or empty the lungs to avoid blood
pressure fluctuations.
Regulate the mind: Focus only on exhaling without special
attention while inhaling. Empty the mind while exhaling. Practice
these steps for 3 min with the eyes closed and open the eyes
when the mind is clear. The relaxation of the body, breath, and
mind is the pre-consultation phase and a prerequisite of therapy
with the MET. If a client is unable to relax, he or she cannot
proceed to the subsequent steps.
Select a Symptom That Causes Trouble for the Client
as the Target Symptom
It could be a negative emotion such as fear, anxiety, anger, or
a negative physical sensation such as tightness of the chest,
shortness of breath, or pain of the body. In each session, only one
symptom is treated. If there is more than one physical or mental
problem, clients will be asked to choose the one that is most
problematic or urgent for this session by evaluating its influence
on a scale from 0 to 10. Usually, when people seek help, their
target symptoms have scores of 7 or above.
Visualize and Locate the Target Symptom
There are two ways to determine the symbolic object of the
target symptom. One way is to ask the client how they embody
their target symptom. For example, the therapist could ask: what
makes you feel bad at that body part? Asking such questions could
encompass the client’s physical sensations and feelings from the
target symptom. The other way is to locate the emotion in one
somatic part. If the client feels stressed, he or she may report
that a pile of cotton is blocking his or her chest to the therapist.
After a symbolic object and a certain somatic part are determined
and located, the client should elaborate and highlight various
dimensions of the object and embody the object. The therapist
can help by asking the client to describe the size, shape, weight,
sound, texture, and smell related to the symbolic object so it
becomes vivid.
Visualize a Symbolic Container
A symbolic container is the device that holds that object
mentioned in Step 3. It signifies a client’s internal resources and
energy. Clients are encouraged to create a container with rich and
vivid perceptual features that are similar to the symbolic object.
Moving the Symbolic Object Into the Psychological
Emptiness Area
Guide the client to:
i) put the symbolic object into the container in the mind;
ii) moving the container farther and farther away
psychologically and finally into the psychological emptiness
area. First, move the container 3 meters away and back again.
Repeat this step 2 to 3 times. Then, move the container farther
away so that that it will look like a small dot, then move it
back. Repeat this process 10 times. Finally, move the container
far enough away so the client cannot see or feel it. Clients get
to the “emptiness area where nothing exists in this stage.
iii) When the container with the symbolic object is moved to the
psychological emptiness area, clients can feel comfortable and
relaxed with the target symptom leaving. The client is asked to
experience the sensation of emptiness by staying there as long
as they can with their eyes closed.
Assessment of Changes After the Intervention
Ask the client to score the influence of their symptoms again after
the intervention. If the initial score is reduced by 50% or more,
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Tao et al. Moving to Emptiness Technique Clients
FIGURE 1 | Consort diagram for the present study.
the treatment is considered to be highly effective; if the score is
reduced by 1/3 or more but by <50%, the treatment is considered
to be adequately effective; and if the score is reduced by <1/3, the
treatment is considered to be ineffective.
Measures
Consulting Assessment
A visual analog scale (VAS) is a Likert psychometric scale that is
used to evaluate subjective characteristics or attitudes (8). These
scales have previously been used to diagnose various disorders in
market research and social science assessments.
First, we assessed the influence of the clients’ target symptoms
and scored it from 1 to 10. At the end of the MET treatment
session, the client re-evaluated the impacts of their symptoms
when the container was far away and invisible in their minds.
Follow-Up Feedback
The clients were asked how much the previous target symptoms
had influenced them in a follow-up survey after 1 week.
Procedure
In this study, a dedicated reservationist establishes a consultation
time based on the client’s registration information. When the
client enters the consultation room, the psychotherapists will
spend about 1–3 min gathering basic information and identifying
the client’s primary symptoms that need to be addressed and a
1–10 rating (i.e., the influence of the clients’ target symptoms).
The formal consultation session is then conducted, and after
the consultation, the 1–10 scale is administered once more. An
average single session of 50 min for each client.
The appointment maker will contact the visitor within about
a week to inquire about the consultation’s outcome and conduct
a 1–10 rating. Due to the principle of respecting client’s wishes,
data on the effectiveness of counseling are unavailable for
some visitors, as shown in Figure 1. In total, 297 sessions
were collected. A total of 276 sessions were collected for the
final process with outlier deletion (i.e., duplicate and incorrect
data rows).
Statistical Analysis
In the present study, all data were analyzed by R. We used the
package of compareGroups (9) to collect the essential information
for the participants and therapists. Then, the WordCloud package
(10) was used to visualize the target symptoms of the participants.
The afex package (11) was used to perform the mixed ANOVA.
RESULTS
Descriptive Demographic Analysis
As shown in Tbale 1, we recruited 107 participants, with the
majority being female (n=93; 86.9%). More than half of the
participants had undergraduate and junior college education
degrees (n=69; 64.5%). More than half of them were employed
(n=62; 57.9%) and were not students (n=93; 86.9%). More
than 60% of them were married (n=69; 64.5%). As reported
in the clients’ information, most of them did not have mental
health issues (n=94; 87.9%) or took medicine (n=90, 84.1%;
see Table 1).
A total of 17 psychotherapists worked for this study. Most of
them were female (n=15; 88.2%) and aged older than 40 years
(n=15; 88.24%). Most of them had an undergraduate education
level (n=16; 94.12%). More than half of them had more than 5
years of working experience (n=11; 64.71%). More than half of
them had worked in counseling between 1 and 3 years (n=11;
64.7%) and had supervision time below 50 h (n=11; 64.71%; see
Table 2).
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Tao et al. Moving to Emptiness Technique Clients
TABLE 1 | Summary descriptives table for clients (n=107).
Variable N(Proportion/SD)
Gender Male 14 (13.1%)
Female 93 (86.9%)
Age 40.0 (10.95)
Education Below high school 3 (2.80%)
High school and polytechnic school 3 (2.80%)
Undergraduate and junior college 69 (64.5%)
Master and doctor 30 (28.0%)
Others 2 (1.87%)
Occupation Worker 4 (3.74%)
Cadre 10 (9.35%)
Technician 16 (15.0%)
Teacher 18 (16.8%)
Profession 14 (13.1%)
Others 45 (42.1%)
Job status Student 11 (10.3%)
On the job 62 (57.9%)
Unemployed 13 (12.1%)
Retire 8 (7.48%)
Others 13 (12.1%)
Marriage Unmarried 31 (29.0%)
Married 69 (64.5%)
Divorce 4 (3.74%)
Separation 2 (1.87%)
Widowed 1 (0.93%)
Students Yes 14 (13.1%)
No 93 (86.9%)
Mental health Yes 13 (12.1%)
No 94 (87.9%)
Medicine Yes 17 (15.9%)
No 90 (84.1%)
Descriptive Analysis of the Number of MET
Consultations
A single individual conducted one initial interview and three
consultations in the standardized process. In particular, only
a few clients required several counseling sessions to achieve
the goal. Specifically, a total of 107 people were interviewed
and treated first. Sixty-nine people had two sessions, and 51
people consulted three times. As shown in Figure 2, sessions
decreased continuously with fewer clients joining subsequent
counseling sessions. Three persons took nine sessions, which was
the maximum number of sessions for a single person.
Overall Intervention Effect of MET
Subsequently, this study screened 276 sessions of 107 people who
interviewed and consulted for the first time. Only the sessions
with consultation participation were retained, and the interview
data were deleted if there was no score of the influence index,
which included 210 sessions. First, we tested the effectiveness of
the MET intervention for participants using one-way repeated-
measures ANOVA (Time: Pretest vs. Posttest vs. Follow-up). The
TABLE 2 | Summary descriptives table for psychological consultant (n=17).
Variable N(proportion)
Gender Female 15 (88.2%)
Male 2 (11.8%)
Age 20–30 1 (5.88%)
30–40 1 (5.88%)
40–50 10 (58.8%)
50–60 4 (23.5%)
Above 60 1 (5.88%)
Education Below undergraduate 1 (5.88%)
Master 7 (41.2%)
Undergraduate 9 (52.9%)
Working time 1–3 years 3 (17.6%)
3–5 years 3 (17.6%)
5–10 years 6 (35.3%)
Above 10 years 5 (29.4%)
Treatment time 1–3 years 11 (64.7%)
Above 5 years 2 (11.8%)
<1 year 4 (23.5%)
Supervision hours <20 h 7 (41.2%)
20–50 h 4 (23.5%)
Above 50 h 6 (35.3%)
results indicated that the main effect of time was significant
[F(2,209) =651.7, p=0.000]. The posttest revealed that the
individual influence decreased significantly after the counseling
intervention (Mean =2.162) compared with before consultation
(Mean =7.861, t=36.08, p=0.000). It should be noted that
over time, the influence after follow-up (Mean =2.858) was
significantly stronger than that after the intervention (t=4.215,
p=0.000), but it was still significantly lower than the influence
score before the consultation (t=26.07, p=0.000; see Figure 3).
Word Cloud Analysis to Categorize
Symptoms
Then, we deleted the missing target symptom locations, and 156
sessions were reserved for the word cloud analysis. First, we
coded the target symptom locations into two parts: the body
surface and internally. The results indicated that 122 symptoms
were located inside the body and 34 symptoms were located
outside the body (see Figure 4A). Considering the specific
location, we coded the target symptoms into 15 parts: head,
eyes, throat, neck, shoulders, back, bosom, heart, lungs, waist,
stomach, abdomen, upper limbs, lower limbs, and others. The
results indicated 30 symptoms for the head, 26 symptoms for the
bosom, 26 symptoms for the heart, 14 symptoms for the throat,
and 14 symptoms for the abdomen (see Figure 4B).
ANOVA Analysis for Target Symptoms
Here, it should be pointed out that this study grouped specific
locations of target symptoms. The top 3 symptoms (i.e., the
three parts of the body where the symptoms appeared the
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Tao et al. Moving to Emptiness Technique Clients
FIGURE 2 | Times of psychological consultation.
FIGURE 3 | The repeated measurement analysis of influence index.
***p< .001.
most as the high-frequency group) were defined as the high-
frequency group, and the rest were defined as the low-frequency
group to explore whether there were differences in the index of
influence between the two groups. Furthermore, to investigate
the difference in the influence index between the high-frequency
and low-frequency groups under three measurements, a mixed
ANOVA was conducted: 2 (Group: high-frequency vs. Low-
frequency) ×3 (Time: Pretest vs. Posttest vs. Follow up).
The results showed that the main effect of the high-frequency
and low-frequency groups was insignificant (F=0.14, p=0.709,
η2=0.001). However, the main effect of the time point was
significant (F=461.14, p=0.000, η2=0.609). The interaction
between the high-frequency and low-frequency groups and the
time point was significant (F=5.76, p=0.005, η2=0.019).
According to the comparison results, in the low-frequency group,
the influence after consultation (Mean =2.20, SE =0.204) was
significantly lower than those before consultation (Mean =7.41,
SE =0.186, t= 19.841, p=0.000) and after follow-up
(Mean =3.34, SE =0.283, t= 12.440, p=0.000). The
influence after follow-up was significantly higher than that after
consultation (t=4.403, p=0.002).
In the high-frequency group, the degree of influence after
the consultation (Mean =2.16, SE =0.194) was significantly
lower than those before consultation (Mean =7.97, SE =0.177,
t= 23.303, p=0.000) and after follow-up (Mean =2.57,
SE =0.269, t=17.384, p=0.000). The degree of influence after
follow-up did not significantly differ from that after consultation
(t=1.687, p=0.213). The results are shown in Figure 5A.
ANOVA Analysis for Bereavement
At the same time, after deleting the missing data, 156 sessions
were finally obtained. Then, the participants were grouped
according to whether they lost relatives during the study time.
Furthermore, whether the degree of influence under bereavement
was different under the three measurement time points was
investigated. That is, we conducted a mixed ANOVA of 2
(Bereavement vs. No Bereavement) X 3 (Pretest vs. Posttest
vs. Follow-up). The results showed that the main effect of
bereavement was not significant (F=0. 83, p=0.365), and
the main effect of the time point was significant (F=252.82,
p=0.000), but the interaction between bereavement and the
time point was insignificant (F=1.60, p=0.206). According
to the comparison results, in the bereavement group, the degree
of influence after consultation (Mean =2.39, SE =0.34) was
significantly lower than those before consultation (Mean =7.39,
SE =0.31, t= 11.456, p=0.000) and follow-up (Mean =2.35,
SE =0.47, t= 9.056, p=0.000). However, there was
no significant difference between the degree of influence after
follow-up and consultation (t=0.086, p=0.996).
In the non-bereaved group, the degree of influence after
consultation (Mean =2.13, SE =0.15) was significantly lower
than those before consultation (Mean =7.77, SE =0.14,
t= 28.261, p=0.000) and after follow-up (Mean =3.01,
SE =0.22, t= 18.719, p=0.000). The degree of influence after
follow-up was significantly lower than that after consultation
(t=4.446, p=0.000). The results are shown in Figure 5B.
DISCUSSION
In summary, the MET preserves somatic relaxation and the CBT
operational process while integrating traditional Chinese culture.
The MET is highly effective during the COVID-19 pandemic for
removing negative emotions and terrible physical feelings. As a
safe, fast-acting therapeutic technique, although there is some
deterioration after a week, the effects of the MET are mainly
maintained, which is essential for bereaved people. Hence, some
points are worthy of discussion here.
We recognize that most current counseling techniques in
China are derived from the West (12). This provides us with
numerous benefits, both essential to those with psychological
needs and critical to developing the psychological discipline
in China. For different types of clients, divergent therapeutic
techniques should be applied. Hence, many people in Eastern
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Tao et al. Moving to Emptiness Technique Clients
FIGURE 4 | Word cloud analysis of target symptoms. (A) indicated the frequency of approximate locations about target symptoms. (B) indicated the frequency of
specific locations about target symptoms.
FIGURE 5 | The results of the mixed ANOVA analysis. (A) indicated the results of different degrees of frequency. (B) showed that whether bereavement or not could
have a difference in influence.
cultures can be better served by the MET, which combines
the fundamental logic of Western counseling techniques with
Eastern philosophical principles.
In the present study, we found that the target symptoms
identified by the clients decreased significantly after the
intervention. What should not be overlooked is the rebound in
the follow-up survey. This also highlights that our consultation
outcomes were delivered promptly. According to the follow-up
data, the influence of a client’s symptoms returns, although it
is still significantly below the initial reported levels. It is clear
that counseling is pretty successful in improving an individual’s
current state and that more counseling should be considered
progressively over time to strengthen the treatment’s benefits.
We separated the top three symptoms according to target
symptoms into a high-frequency group and the remainder into
a low-frequency group to verify the efficacy of the MET from
multiple perspectives. Compared with those in the low-frequency
group, there was no significant difference in client effect scores
among the high-frequency group at post-intervention and
follow-up, which indicates that the effectiveness is apparent
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when the MET is evaluated from a randomized perspective. The
structure of the MET is similar to that of CBT. Nevertheless,
the goals are diversified. CBT assists clients in identifying
illogical ideas and attempting to adjust their behavior patterns
by modifying their irrational or illusory perceptions. The idea
of CBT is the circulation among mood, behavior, and cognition.
Compared to identifying maladaptive beliefs (13), the MET offers
therapists a fresh perspective; it regards people as a whole.
The therapeutic target is to remove those severe problems in
personalities. CBT is rational, while MET is emotional. In other
words, they have different focuses and different treatment goals.
The treatment goal of MET is to bring the client to a place where
there is no problem. Compared to CBT, MET has short and
quick characteristics. Based on the traditional Chinese concept
of emptiness, the MET leads clients to dissolve their internal
problems into infinite emptiness by identifying and embodying
their symptoms.
Bereavement is described as the situation of having lost a
significant loved one due to death (14). Everyone will experience
bereavement, which is a highly stressful event, during their
lifetime. Individuals seldom experience bereavement in early
childhood (3.4%) (15). Then, as people grow, their risks of
experiencing bereavement grow, with 45% of women and 15%
of men in elderly populations experiencing bereavement (16). In
the present study, participants were grouped according to who
had been bereaved and who had not been bereaved. There was no
significant difference in the client effect scores among the group
with bereavement experiences at post-intervention and follow-
up, which indicates that the effectiveness is apparent when the
MET is re-evaluated from a randomized perspective.
Bereavement is linked to a higher risk of mortality for
a multitude of reasons, including suicide (17). Furthermore,
mental and physical illness is severe and persistent in a
small proportion of the population. Notably, depending on the
individual and their culture, recovery might take months or even
years. As a result, bereavement is both a preventative and clinical
concern. However, child grief therapies do not appear to produce
good results like other professional psychotherapy interventions
(18). As children’s early intimate relationships come to an abrupt
end, early memories fade with aging. Children’s bereavement
experiences can be reshaped by later social attention and the
formation of new personal attachments (19). However, due to the
general stability of the object-subject relationship in adulthood
(20), adults’ memories of painful bereavement experiences are
difficult to erase in a short period. They can even remain with
them throughout their lives, influencing their daily emotional
(21,22) and life functions (23,24).
Some researchers have employed a variety of psychological
counseling therapies to aid persons experiencing grief who
have been bereaved (2527). Studies investigating counseling
techniques refer to the dual process model and the meaning
reconstruction model. However, due to cultural differences, the
mainstream models in mainland China are currently cognitive
behavioral therapy (CBT) and other counseling techniques.
To treat and intervene Chinese people who have experienced
bereavement, a counseling technique with a high degree of
cultural-ecological validity is needed. The moving to the
emptiness technique (MET) may be a good choice.
Limitations
However, this study has potential limitations. To begin, we
presently have data on only 107 clients, although these clients
reveal great demographic heterogeneity. Given that a large
proportion of clients to this study received multiple counseling
sessions (see Figure 3), we could not integrate demographic
characteristics as covariates in ANOVA analysis. However, in
future studies, MET should explore examining the impact
of interventions on specific populations and controlling for
demographic heterogeneity, such as people with depression.
Second, the MET is a new counseling technique that stems
from ancient Chinese philosophical thinking and Chinese
medical theory, mixed with the logic of Western counseling
techniques. Compared with CBT and other techniques, it is
still in development. Third, although the therapeutic benefits of
the MET were investigated in this study using a randomized
design, more analytical approaches, such as questionnaire
measurements, fMRI, fNIRS, and other similar methodologies,
should be used to assess the efficacy of the MET. Furthermore,
the benefits of the theoretical framework of the MET can be
used in future studies concerning more clinical patients with
specific medical issues, such as neurological headaches and
frozen shoulder. The efficacy of the MET may be evaluated
by attempting to relieve persons’ somatic diseases from a
psychological counseling perspective.
DATA AVAILABILITY STATEMENT
The raw data supporting the conclusions of this article will be
made available by the authors, without undue reservation.
ETHICS STATEMENT
The studies involving human participants were reviewed and
approved by Beijing University of Chinese Medicine. The
patients/participants provided their written informed consent to
participate in this study.
AUTHOR CONTRIBUTIONS
TL and YC: study design and critical revision of the manuscript.
WZ and LL: data collection. YT and YC: analysis and
interpretation. YT: drafting of the manuscript. All authors
contributed to the article and approved the submitted version.
FUNDING
This study was supported by the Scientific Foundation
of Institute of Psychology, Chinese Academy of Sciences,
No. EOCX331008.
ACKNOWLEDGMENTS
The authors thank the counselors who participated in the
research, Dan Chen, an undergraduate student at the School
of Psychology, Nanjing Normal University, and Wenxin Hou
of the Faculty of Psychology, Beijing Normal University, for
their contributions.
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Conflict of Interest: The authors declare that the research was conducted in the
absence of any commercial or financial relationships that could be construed as a
potential conflict of interest.
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ORIGINAL RESEARCH
published: 06 June 2022
doi: 10.3389/fpubh.2022.919608
Frontiers in Public Health | www.frontiersin.org 1June 2022 | Volume 10 | Article 919608
Edited by:
Carmen María Galvez-Sánchez,
University of Jaén, Spain
Reviewed by:
Xiaohe Wang,
Hangzhou Normal University, China
Catalina Sau Man Ng,
The Education University of Hong
Kong, Hong Kong SAR, China
Roslina Othman,
International Islamic University
Malaysia, Malaysia
*Correspondence:
Xiaoting Zhang
zxtbing@hznu.edu.cn
These authors share first authorship
Specialty section:
This article was submitted to
Public Mental Health,
a section of the journal
Frontiers in Public Health
Received: 13 April 2022
Accepted: 13 May 2022
Published: 06 June 2022
Citation:
Huang X, Gao Y, Chen H, Zhang H
and Zhang X (2022) Hospital Culture
and Healthcare Workers’ Provision of
Patient-Centered Care: A Moderated
Mediation Analysis.
Front. Public Health 10:919608.
doi: 10.3389/fpubh.2022.919608
Hospital Culture and Healthcare
Workers’ Provision of
Patient-Centered Care: A Moderated
Mediation Analysis
Xianhong Huang 1†, Yuan Gao 1† , Hanlin Chen 1, Hao Zhang 1and Xiaoting Zhang2
*
1Department of Health Policy and Management, School of Public Health, Hangzhou Normal University, Hangzhou, China,
2Department of Administration, School of Public Administration, Hangzhou Normal University, Hangzhou, China
Background: Patient-centered care (PCC) is globally recognized as a high-quality and
high-value healthcare service. It emphasizes the broad participation of patients and
families in health-related decision-making and the provision of healthcare services that
cater to patients’ needs, preferences, and values. However, the mechanisms driving
healthcare workers’ provision of PCC are yet to be fully uncovered.
Methods: Using stratified random sampling, we recruited 1,612 healthcare workers from
different levels of public hospitals in Hangzhou. We conducted survey interviews using
questionnaires based on psychometrically sound scales. Structural equation modeling
was used to analyze the effects of hospital culture, self-efficacy, and achievement
motivation on the perceived provision of PCC by healthcare workers and to explore the
mechanisms underlying their relationships.
Results: Self-efficacy had a positive mediating effect in the relationship between
hospital culture and healthcare workers’ perceived provision of PCC (β=0.424, p<
0.001). Furthermore, the pursuit of success positively moderated the mediating role
of self-efficacy (β=0.128, p<0.001), whereas, the avoidance of failure negatively
moderated the mediating role of self-efficacy (β=-0.017, p<0.001).
Conclusion: The findings suggest that hospitals should foster patient-centered
and innovative cultures and develop strategies focusing on both internal motivation
(self-efficacy and achievement motivation) and external environments (hospital culture)
to help and encourage healthcare workers to implement PCC. For example, hospitals
could further communication skills training, enhance leadership, build team spirit, and
promote collaboration among healthcare workers.
Keywords: hospital culture, healthcare worker, patient-centeredness, self-efficacy, achievement motivation
INTRODUCTION
The notion of patient-centered care (PCC) was first proposed by Balint in 1995 to express the
belief that healthcare workers—who are involved in the process of treatment—should be familiar
with patients’ living conditions, social environments, and disease progression; that is, healthcare
workers must deliver services that recognize and cater to the preferences, needs, and values of
71
Huang et al. Healthcare Workers’ Patient-Centered Care
patients (1). PCC is a high-value healthcare service that is crucial
to improving the quality of care and building harmonious doctor-
patient relationships (2,3). However, PCC calls for substantial
competence among healthcare workers as it is complex and can
be characterized as integrated medicine that is multi-leveled and
comprehensive, covering the entire life cycle (4,5). Therefore,
clarifying the driving mechanism for the provision of healthcare
is necessary to effectively intervene in the behaviors of healthcare
workers. Furthermore, it is important to gain thorough and
systematic insights into the factors driving PCC from different
aspects, such as outer contexts and intrinsic motivation.
In recent years, many scholars have tried to elucidate the
concept of PCC and explore the factors influencing behaviors
of healthcare professionals pertaining to the provision of
PCC; for example, in 2000, Ma studied the development
and improvement of the hospital service system based on
insights from the patient-centered approach, proposing a basic
framework and solutions for the establishment of a patient-
centered hospital service system (6). In 2002, Wang and
Liu (7) argued that “patient-centeredness” involves improving
doctor-patient communication, which can facilitate doctors’
understanding of their patients and help doctors and patients
reach a consensus on medical decisions. In 2019, Liang
(8) summarized Western studies on patient-centered medical
services and administration at the theoretical level and outlined
practice guidelines for the implementation of PCC in China.
Gender, grade, empathy, and communication skills were found
to have statistically significant effects on dental students’ attitudes
regarding patient-centered services, which could be improved via
a focus on enhancing empathy, emphasizing positive attitudes
toward learning communication skills, and conducting patient-
centered learning seminars (9). Furthermore, Kanat et al. (10)
found that the doctor-patient relationship and communication,
doctors’ characteristics, and patients engagement were important
determinants of PCC. Paiva et al. (11) investigated the factors
facilitating and inhibiting healthcare workers’ implementation of
PCC; they contended that the creation of an atmosphere that is
conducive to communication, engagement of patients in medical
decisions, and enhancement of medical personnel’s ability to
communicate effectively might foster the provision of PCC by
medical workers.
Studies have linked PCC with various positive patient
outcomes, including empowerment and engagement (10,12)
favorable health outcomes, diminished socioeconomic, and racial
disparities, shorter hospitalization periods and earlier discharge,
and lower treatment costs (13,14). However, the existing
literature on PCC has the following drawbacks. First, while many
studies have identified various external (contextual) and internal
(personal) factors associated with PCC provision, comparatively
fewer studies have considered both contextual and personal
factors holistically and identified the pathways linking them.
It is extremely important to better understand how these
factors interact to facilitate (or undermine) healthcare workers’
provisions of PCC. Second, among the studies focusing on the
factors influencing PCC, few have focused on organizational
culture, which is an important factor that facilitates service ability
by valuing people, stimulating new thoughts, fostering team
spirit, and adopting systems that are recognized by employees.
Third, studies focusing on the driving mechanisms of healthcare
workers’ provision of PCC have not investigated the impact
of their intrinsic motivation. Thus, several studies so far have
revealed that self-efficacy and achievement motivation have
joint effects on personal behaviors (15,16). However, few have
been conducted in the field of hospital administration, and
the mechanisms underlying the synergy between self-efficacy
and achievement motivation are yet to be fully uncovered; for
example, it is unclear whether hospital culture has different
effects on the self-efficacy of and provision of care by
healthcare professionals based on their level of achievement
motivation. Therefore, the pathways of effects between hospital
culture and healthcare workers’ implementation of PCC are
worth investigating.
Motives—both physiological and social—have been identified
as major internal driving forces of human behavior in diverse
domains (17). Achievement motivation refers to the perceived
motivation that drives individuals to undertake challenging and
meaningful work tasks and/or activities and surpass others to
attain satisfactory outcomes (18). Thus, achievement motivation
is an important internal variable that is positively associated
with quality and initiative at work (19,20). With regard to
individual consciousness, achievement motivation is embodied
in two opposing psychological tendencies: the pursuit of success
and avoidance of failure (21). Schone (22) contended that strong
achievement motivation is a positive predictor of employees’ job
engagement, work performance, and organizational behaviors,
among others. Wang (20) explored the correlation between
doctors’ achievement motivation and sense of responsibility and
found that achievement motivation is positively associated with
service initiative. Feng (19) found that achievement motivation
is one of the factors driving community practitioners to deliver
first-contact services. Song et al. (23) showed that doctors with
high achievement motivation maintain a positive outlook toward
work, are friendlier with patients, and can overcome emotional
exhaustion. According to McClellands (24) theory of needs (also
known as the theory of motivation), healthcare workers with a
high (vs. low) level of achievement motivation are more devoted
to work and are more focused, proactive, and persistent in
delivering PCC owing to positive feedback (25).
In light of the aforementioned findings, we advocated the
importance of considering the effects of achievement motivation
while assessing the influence of hospital culture on patient-
centered practice among medical staff. In addition, we included
self-efficacy as an essential factor in the proposed model as this—
as another intrinsic variable—could reflect healthcare personnel’s
level of confidence in the provision of PCC (26). Self-efficacy
is an individual’s belief in their capacity to set and achieve
certain goals, that is, confidence in one’s abilities (10). It is
important to note that self-efficacy affects people’s mindsets,
responsiveness to emotions, and choice of behaviors (27).
From a behavioral science perspective, self-efficacy might be a
predictive factor for the adoption of and changes in health-
related behaviors (28). For example, Ham and Tak (29) suggested
that low self-efficacy could lead to avoidance behaviors and
ineffective communication, resulting in poor clinical outcomes.
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Huang et al. Healthcare Workers’ Patient-Centered Care
Additionally, Afsar and Masood (30) found that enhancements
in self-efficacy can facilitate innovative work-related behaviors
such as PCC. Furthermore, Zhang et al. (31) demonstrated
that self-efficacy is positively associated with health protection
behaviors among pharmacists during the coronavirus disease
2019 pandemic.
Self-efficacy can be influenced by several contextual factors
associated with hospital culture. For example, Meurling et al. (32)
suggested that teamwork (or collaboration) and communication
can contribute to the enhancement of self-efficacy among
healthcare workers. Zhao et al. (33) proposed that the provision
of external support to healthcare workers can enhance their self-
efficacy and reduce job burnout. Additionally, the engagement
and behaviors of leaders can influence the vitality, caliber,
performance, and cohesion of their team (34). Xue et al.
(35) found that leaders who favor and encourage changes can
set a positive example for their coworkers and employees,
fostering unity, and initiative in the organization; these factors
are conducive to the organization’s future. They also suggested
that work atmosphere is positively correlated with initiative
among employees. Furthermore, Liang and Gu (36) found that
innovative organizational culture has positive effects on creativity
and motivation (to perform) among employees. Therefore, an
efficient hospital culture serves several functions—including
guidance, bonding, stimulation, constraint, regulation, and
security—which can contribute to the enhancement of self-
efficacy among healthcare workers.
“Hospital culture” refers to the sum of collective
consciousness, values, ethics, and norms in medical practice
held by hospital employees under certain socioeconomic
conditions (37). Studies have shown that hospital cultures
based on internal communication, cross-team collaboration,
innovation, and charismatic leadership (3843) can facilitate
the implementation of PCC by enhancing patient-centered
consciousness among healthcare workers. Thus, the following
hypothesis was formulated.
Hypothesis 1 (H1): Hospital culture has a positive effect on
healthcare workers’ implementation of PCC. In sum, on the
one hand, hospital culture has a direct positive effect on the
provision of PCC by healthcare professionals; on the other
hand, self-efficacy mediates the effect of hospital culture on
healthcare workers’ implementation of PCC. Therefore, the
following hypotheses were formulated.
H2: Hospital culture positively affects self-efficacy among
healthcare workers.
H3: Self-efficacy among healthcare workers has a positive effect
on the delivery of PCC.
H4: Self-efficacy mediates the relationship between hospital
culture and healthcare workers’ implementation of PCC.
Furthermore, achievement motivation moderates the
relationship between hospital culture and healthcare workers’
self-efficacy for the provision of PCC. Gong and Xue (44)
explored the mechanism underlying the effect of empowering
leadership on creativity among employees; they found
that achievement motivation moderated the relationship
between empowering leadership and self-efficacy. In addition,
Sommaruga et al. (45) suggested that patient-centered practice
among medical personnel can be enhanced by emotional
intelligence. In sum, a good hospital culture has a relatively
weaker positive effect on self-efficacy among healthcare workers
with low achievement motivation. On the contrary, a good
hospital culture has a stronger positive effect on the self-efficacy
of healthcare professionals with high achievement motivation.
Therefore, the following hypotheses were formulated.
H5: Achievement motivation moderates the relationship
between hospital culture and self-efficacy among
healthcare workers.
H6: Achievement motivation moderates the relationship
between self-efficacy among healthcare workers and their
implementation of PCC.
Thus, we surveyed healthcare workers from 27 public hospitals
(of different levels) in Hangzhou to explore the pathways linking
inner communication, cross-team collaboration, innovative
organizational culture, charismatic leaders, self-efficacy, and
achievement motivation to healthcare personnel’s provision of
PCC, considering intrinsic motivation and hospital culture. In
light of theories of motivation, we proposed a theoretical model
with hospital culture as the independent variable, healthcare
professionals’ implementation of PCC as the dependent
variable, self-efficacy as the mediating variable, and achievement
motivation as the moderating variable (Figure 1).
MATERIALS AND METHODS
Sample Characteristics
Healthcare workers—including doctors, nurses, and medical
technicians from different levels of public hospitals in Hangzhou
city—voluntarily participated in this study. Hangzhou is a
provincial capital located in coastal southeast China. It is
economically well-developed and had a per capita GDP of
134,900 yuan in 2021. It is known for its quality of healthcare
and high-ranked hospital administration, rendering it an apt
setting for this study. The inclusion criteria were as follows: (1)
providing informed consent; (2) being employed in the target
hospital; and (3) having work experience of more than 6 months.
The exclusion criteria were as follows: (1) being off-duty during
the survey period owing to reasons like maternity leave, personal
affairs, sick leave, learning, holiday, and/or business trips; and (2)
questionnaires from interns or trainees from other organizations.
Stratified random sampling was used to select healthcare
institutions based on three hospital levels; six tertiary and six
secondary hospitals and 15 community health centers were
randomly selected from among the medical organizations in
Hangzhou. Convenience sampling was then used to select
healthcare workers from each institution; 200 healthcare workers
were selected from each tertiary hospital, 50 from each
secondary hospital, and 20 from each community health center.
Accordingly, 1,800 questionnaires were sent to these institutions
through a face-to-face survey approach, of which 1,612 qualifying
questionnaires were retrieved. The criteria for considering
questionnaires invalid were: (1) incomplete responses; (2) same
responses for more than 50% of the completed questions;
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Huang et al. Healthcare Workers’ Patient-Centered Care
FIGURE 1 | sResearch model diagram of healthcare workers’ patient-centered care.
and (3) obvious contradictions in responses across questions.
If a questionnaire met even one of these criteria, it was
deemed invalid.
Measures
General Information
The form for general information comprised items pertaining
to gender, marital status, age, level of education, title, post,
department, years of experience, type of employment, daily
working hours, monthly income, hospital level, teaching status
of the hospital, communication skills training, and familiarity
with PCC.
Provider-Patient Relationship Questionnaire
To evaluate the healthcare personnel’s perceptions of their
provision of PCC, we used the Provider-Patient Relationship
Questionnaire (PPRQ), developed by Gremigni et al. (46). The
PPRQ includes four dimensions: effective communication (four
items), interest in the patient’s agenda (four items), empathy (four
items), and patient involvement in care (four items). Items are
scored on a five-point Likert scale, ranging from one (never)
to five (always); higher scores reflect better patient-centered
services. The PPRQ has good reliability and validity (Table 1).
Hospital Culture
A self-developed hospital culture questionnaire (3843) was
used to evaluate hospital culture based on four dimensions:
internal communication (three items), cross-team collaboration
(three items), innovative organizational culture (three items), and
charismatic leadership (three items). Items are rated on a five-
point Likert scale, ranging from one (strongly disagree) to five
(strongly agree); higher scores represent better hospital culture.
The scale had good reliability and validity (Table 1).
General Self-Efficacy Scale
Self-efficacy among healthcare workers was evaluated using the
General Self-Efficacy Scale (GSES), developed by Schwarzer and
Jerusalem (47). The GSES has two components: confidence about
interpersonal communication (five items) and confidence about
effective communication (five items). Items are rated on a five-
point Likert scale, ranging from one (strongly disagree) to five
(strongly agree), and higher scores represent higher self-efficacy.
The scale had good reliability and validity (Table 1).
Achievement Motivation Measurement Scale
Healthcare workers’ achievement motivation was evaluated using
the Achievement Motivation Measurement Scale, developed by
Huang (21). This scale includes two sub-dimensions: pursuit of
success (four items) and avoidance of failure (four items). Items
are rated on a five-point Likert scale, ranging from one (“strongly
disagree”) to five (“strongly agree”); items in the avoidance of
failure subscale are reverse scored. Higher scores reflect higher
achievement motivation. The scale had good reliability and
validity (Table 1).
Quality Control
Prior to data collection, we conducted a pilot study. We gathered
and analyzed the problems that were identified in the preliminary
study. We then discussed the results of the preliminary study,
revised the questionnaire, established a specific study plan,
and finalized the questionnaire. Questionnaire distribution
was performed by postgraduates with adequate experience in
conducting personal surveys. The survey was conducted between
July 1 and September 30, 2021. Furthermore, concentrated
training sessions were conducted prior to the commencement
of the official survey to ensure that the investigators had a
clear understanding of the project, questionnaire, and key points
during investigation; this process also ensured that they followed
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TABLE 1 | Description, factor analysis, and reliability coefficients of construct measures.
Construct Dimension Items LoadaCronbach’s
α
Correlation
coefficient
Cumulative
variance
contribution rate
(in %)
Overall
αvalue
Hospital culture Internal
communication
Group meetings are frequently organized in the
department to discuss patients’ conditions and
treatment plans.
0.763 0.834 0.719** 75.201 0.944
Resources and information can be shared within the
hospital.
0.786 0.754**
Employees can freely point out when incidents with
adverse consequences are likely to occur.
0.735 0.688**
Cross-team
collaboration
The hospital encourages transdisciplinary cooperation. 0.862 0.902 0.791** 83.661
Members in the department have mutual understanding
and acceptance.
0.86 0.783**
Different departments cooperate effectively and
efficiently to solve patients’ problems.
0.866 0.813**
Innovative
organizational
culture
Different departments in the hospital often collaborate
with each other to develop innovative ways of providing
health services.
0.822 0.936 0.830** 88.7
The hospital encourages constant innovation in health
information technologies.
0.892 0.829**
The hospital encourages constant innovation in
administrative skills and know-hows.
0.894 0.826**
Charismatic
leadership
The leaders strive to set a good example for employees. 0.891 0.912 0.826** 85.148
The leaders emphasize that employees should show
respect and concern toward patients and protect their
rights.
0.845 0.833**
The leaders encourage employees to participate in
discussions and decision-making processes.
0.851 0.802**
Achievement
motivation
Pursuit of
success
I would be very happy to get recognized by patients. 0.859 0.92 0.588** 71.998 0.86
I endeavor to provide personalized care for patients. 0.892 0.528**
I try to satisfy reasonable needs of patients and solve
their problems.
0.915 0.538**
I prefer completing the work assigned to me as quickly
as possible.
0.862 0.619**
Avoidance of
failure
I feel uneasy when treatment, examination, and/or
nursing don’t show clear effectiveness.
0.821 0.851 0.586** 74.796
I would feel anxious if I am unable to reach a consensus
with patients on decisions about treatment, examination,
and/or nursing.
0.876 0.566**
I dislike dealing with incidents involving malpractices
and/or disputes.
0.709 0.576**
I would feel anxious if I am unable to immediately
understand questions asked by patients.
0.859 0.616**
Self-efficacy Confidence
about
interpersonal
communication
I have a strong ability to build mutual trust with patients. 0.712 0.893 0.834** 69.321 0.942
I have a strong ability to discern patients’ emotions. 0.66 0.853**
I can solve patients’ emotional issues and physical
problems.
0.522 0.824**
Generally, I can be friendly with patients. 0.879 0.750**
I understand when patients do not approve of the
treatment, examination, and/or nursing plan suggested
by me.
0.643 0.745**
Confidence
about effective
communication
My patients would honestly tell me their medical history if
I asked them.
0.586 0.911 0.834** 81.537
I have a strong ability to detect non-verbal hints or
actions of patients.
0.816 0.853**
(Continued)
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Huang et al. Healthcare Workers’ Patient-Centered Care
TABLE 1 | Continued
Construct Dimension Items LoadaCronbach’s
α
Correlation
coefficient
Cumulative
variance
contribution rate
(in %)
Overall
αvalue
I possess the ability to ask pertinent questions at
appropriate times.
0.802 0.824**
I can explain medical terms in simple language. 0.727 0.750**
Patients would be willing to communicate with me if I
asked them about sensitive or private issues.
0.83 0.745**
Patient-centered
care
Patient
engagement
In most cases, I provide detailed information regarding
treatment, examination, and nursing to patients.
0.685 0.948 0.789** 78.435 0.967
In most cases, I allot ample time for patients to consult
with me.
0.72 0.780**
In most cases, I speak gently with patients. 0.558 0.818**
Empathy In most cases, I patiently listen to patients. 0.632 0.933 0.866** 79.26
In most cases, I care about the extent of patients’
understanding about their disease status and prognosis.
0.786 0.824**
In most cases, I inquire about patients’ preferences and
needs.
0.533 0.866**
Interest in
patients’
agendas
In most cases, I attach importance to the protection of
patients’ privacy.
0.802 0.905 0.795** 79.498
In most cases, I care about patients’ expectations about
the outcomes of care.
0.753 0.805**
In most cases, I can understand patients’ negative
emotions.
0.594 0.865**
In most cases, I can see things from the patients’
perspective.
0.612 0.878**
In most cases, I can bring confidence and provide a
sense of security to patients.
0.588 0.878**
Effective
communication
In most cases, I can reach a consensus and resolve
conflicts together with patients.
0.695 0.857 0.892** 83.36
In most cases, I encourage patients to get involved in
discussions and decision-making about treatment,
examination, and/or nursing.
0.78 0.825**
In most cases, I can resolve patients’ concerns about
their diseases and offer timely help.
0.774 0.877**
In most cases, I allow patients to ask questions and
express their ideas when I ask about their symptoms.
0.764 0.876**
In most cases, I try to determine why a patient is
reluctant to receive care.
0.766 0.821**
aAll load values are significant at the 0.001 level *p<0.05, **p<0.01, and ***p<0.001.
unified standards and methods. The survey was conducted
via one-on-one interviews after obtaining informed consent
from the participants. After the questionnaires were filled out,
the investigators inspected them and checked with participants
regarding the questionnaires that did not meet the study
requirements. Subsequently, the questionnaires were coded and
data were double-entered.
Statistical Analyses
Preliminary Analyses
Data were coded and entered in the database. The demographic
data were evaluated and compared by descriptive analysis, one-
way analysis of variance, and independent t-test. In addition,
SPSS version 22 (IBM Corp., Armonk, NY, United States) was
used to test the Pearson’s correlations between hospital culture,
self-efficacy, achievement motivation, and PCC. Statistical
significance was set at p<0.01.
Mediation and Moderation Analyses
Structural equation modeling was used to analyze the mediating
effect of self-efficacy among medical staff and the moderating
effect of achievement motivation. Hayes’ Process Macro Model
4 was employed to conduct mediation analysis, and Model
58 was employed for moderated mediation analysis (48). The
aforementioned program is suitable for a variety of mediation,
moderation, and moderated mediation models. Hypothesis
testing for the regression coefficients was conducted using the
bias-corrected percentile bootstrap method with 5,000 replicates
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Huang et al. Healthcare Workers’ Patient-Centered Care
TABLE 2 | Comparison of healthcare workers’ mean scores on the
provider-patient relationship questionnaire based on different demographic
variables.
Variable Categorization (n) Total score
Gender Men (419) 66.74 ±9.68
Women (1,193) 66.68 ±9.08
t(p) 0.12 (0.90)
Marital status Married (1,154) 66.97 ±9.18
Single (426) 66.05 ±9.48
Divorced (21) 66.24 ±7.58
Other (11) 64.09 ±6.70
F (p) 1.34 (0.26)
Age 25 years (229) 65.37 ±10.12
26–35 (712) 66.10 ±9.09
36–45 (489) 67.74 ±8.83
46 years (182) 67.91 ±9.49
F (p) 5.77 (<0.01)
Level of education Junior college or below (221) 66.93 ±9.10
Graduate (1,142) 66.8 ±10.64
Postgraduate or above (249) 66.44 ±9.10
F (p) 1.37 (0.25)
Title None (177) 66.01 ±9.41
Junior (602) 65.57 ±9.46
Middle (556) 67.18 ±8.88
Sub-senior (211) 68.53 ±8.93
Senior (66) 68.92 ±9.10
F (p) 5.99 (<0.01)
Department Internal medicine (501) 66.20 ±9.13
Surgery (125) 67.35 ±8.55
Gynecology and obstetrics (96) 67.88 ±7.37
Pediatrics (64) 68.53 ±8.56
Medical technologies (230) 65.34 ±11.25
Emergency room (70) 65.50 ±8.71
Ophthalmology and
otorhinolaryngology (27)
65.26 ±10.14
Psychiatry (105) 67.38 ±8.32
Other (394) 67.46 ±8.93
F (p) 2.24 (0.05)
Daily working hours <8 (277) 65.99 ±9.54
8–10 (1,175) 66.73 ±9.21
10–12 (128) 67.30 ±9.16
>12 (32) 69.31 ±6.99
F (p) 1.59 (0.19)
Post Doctor (591) 67.98 ±8.55
Nurse (744) 65.90 ±9.02
Medical technician (256) 66.08 ±10.75
Other (21) 66.62 ±11.88
F (p) 6.10 (<0.01)
Level of hospital Tertiary (1,179) 67.77 ±9.87
Secondary (204) 65.15 ±10.34
Community health center 66.86 ±8.75
F (p) 3.31 (0.05)
(Continued)
TABLE 2 | Continued
Variable Categorization (n) Total score
Teaching status of
the hospital
Teaching hospital (1,259) 66.83 ±9.19
Not a teaching hospital (353) 66.23 ±9.37
t(p) 1.07 (0.28)
Level of familiarity
with
patient-centered
care
Very unfamiliar (56) 60.32 ±10.84
Quite unfamiliar (132) 63.47 ±10.17
Fairly familiar (639) 64.42 ±9.09
Quite familiar (653) 67.97 ±8.09
Very familiar (132) 73.10 ±8.78
F (p) 38.07 (<0.01)
Work experience
(years)
<1 (183) 66.19 ±9.11
1–5 (372) 65.97 ±9.53
5–10 (402) 66.35 ±9.25
10–15 (287) 66.78 ±8.91
15–20 (137) 68.21 ±8.83
>20 (231) 67.88 ±9.32
F (p) 2.20 (0.05)
at the 95% confidence interval (CI). If it did not include 0, the
difference in effect was considered statistically significant.
Ethical Considerations
The study was approved by the Institutional Review Board
of Hangzhou Normal University. All participants provided
informed consent, and the study was performed in accordance
with the ethical standards as laid down in the 1964 Declaration of
Helsinki and its later amendments.
RESULTS
Demographic Characteristics
Of the 1,612 participants included in the study, 419 (54.3%)
were male, 1,154 (71.6%) were married, and 182 (11.3%)
were aged 46 or older. Additionally, 1,142 participants (70.8%)
had a bachelor’s degree, 602 (37.3%) had a junior title, 591
(36.5%) were doctors, and 501 (31.1%) were placed in the
internal medicine unit. Moreover, 231 participants (14.3%) had
work experience of 20 years or more, 1,199 (74.4%) held an
officially budgeted post, and 1,175 (72.9%) worked for 8–10 h
per day. Furthermore, 1,179 participants (73.1%) worked in
tertiary hospitals and 1,259 (78.1%) in teaching hospitals; 581
participants (36.0%) had a monthly income of 5,001–7,000 yuan.
Lastly, 958 participants (59.4%) had received training in patient-
centered communication skills, 285 participants (17.7%) took 5–
10 min on average to see one patient, and 132 participants (8.2%)
were “very familiar” with PCC.
The healthcare workers’ perceptions of their provision of
PCC were evaluated based on their scores on the PPRQ (M=
66.70, standard deviation (SD) =9.23). There were significant
differences in participants’ PPRQ scores based on age (F=5.77,
p<0.01), title (F=5.99, p<0.01), post (F=6.10, p<0.01),
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TABLE 3 | Means, standard deviations, and correlation coefficients of the variables.
Variable Mean SD Hospital
culture
Self-efficacy Pursuit of
success
Avoidance of
failure
Patient-centered
care
Hospital culture 48.561 7.584 1
Self-efficacy 38.891 6.228 0.549*** 1
Pursuit of success 16.899 2.647 0.630*** 0.638*** 1
Avoidance of failure 9.627 2.989 0.270*** 0.326*** 0.400*** 1
Patient-centered care 66.478 9.387 0.662*** 0.559*** 0.628*** 0.265*** 1
*p<0.05, **p<0.01, and ***p<0.001. SD, standard deviation.
TABLE 4 | Testing the mediation model of self-efficacy.
Variable Equation 1 (PCC) Equation 2 (Self-efficacy) Equation 3 (PCC)
βSE tβSE tβSE t
Constant 23.609 1.339 17.635*** 13.877 0.983 14.113*** 17.721 1.344 13.186***
Age 0.628 0.280 2.241* 0.200 0.206 0.974 0.543 0.266 2.038*
Title 0.765 0.248 2.813* 0.765 0.182 4.197*** 0.373 0.237 1.576
Post 0.993 0.229 4.342*** 0.627 0.168 3.733*** 0.727 0.218 3.331***
Familiarity with PCC 0.520 0.191 2.730* 0.599 0.140 4.282*** 0.266 0.182 1.461
Hospital culture 0.815 0.022 36.681*** 0.446 0.016 14.113*** 0.626 0.025 24.764***
Self-efficacy 0.424 0.031 13.612***
R²0.466 0.345 0.517
F (5,1724) =300.384*** F (5,1724) =181.710*** F (6,1723) =307.960***
*p<0.05, **p<0.01, and ***p<0.001. PCC, patient-centered care.
and level of familiarity with PCC (F=38.07, p<0.01). Senior
healthcare workers (M =68.92, SD =9.10) obtained higher
scores than those with relatively junior titles (M=67.18, SD =
8.88). Doctors (M=67.98, SD =8.55) obtained higher scores
than nurses (M=65.90, SD =9.02). Furthermore, participants
who were “very familiar” with PCC obtained the highest scores
(M=73.10, SD =8.78), and those who were “very unfamiliar”
with PCC obtained the lowest scores (M=60.32, SD =10.84) on
the PPRQ. The PPRQ scores based on participants’ demographic
characteristics have been presented in Table 2.
The means, SDs, and correlation coefficients of the variables
under study have been presented in Table 3. Hospital culture was
positively associated with self-efficacy (r=0.549, p<0.001) and
healthcare workers’ perceived provision of PCC (r=0.662, p
<0.001). Similarly, there was a significant positive association
between self-efficacy and healthcare workers’ perceived provision
of PCC (r=0.559, p<0.001). Additionally, significant positive
correlations were observed between the variables (hospital
culture, self-efficacy, pursuit of success, avoidance of failure,
and PCC).
Analysis of the Mediating Effect of
Self-Efficacy
First, a mediation model was constructed with hospital culture
as the independent variable and the perceived provision of
PCC as the dependent variable after controlling for age, title,
post, and level of familiarity with PCC (Table 4). The results
of Equation 1 showed that hospital culture had a significant
positive effect on healthcare workers’ perceived provision of
PCC (β=0.815, p<0.001). Bootstrapping was performed
using 5,000 bootstrap replicates (as parameter estimation). The
95% CI was 0.772–0.859 and did not include 0; thus, the
results supported H1, suggesting that hospital culture had
a positive effect on healthcare workers’ perceived provision
of PCC.
Second, self-efficacy was entered into the model as the
mediating variable. The results for the mediating effects of self-
efficacy have been depicted in Table 4 (Equations 2, 3). Hospital
culture had a significant positive effect on self-efficacy (β=
0.446, p<0.001) with the 95% CI within the 0.414–0.478 range;
thus, the results supported H2, validating that hospital culture
positively influenced self-efficacy among healthcare workers. As
shown in Equation 3, self-efficacy had a significant positive effect
on healthcare workers’ perceived provision of PCC (β=0.424,
p<0.001); the estimated 95% CI was within the 0.363–0.485
range, and did not include zero. Thus, the results supported
H3, reflecting that self-efficacy among healthcare workers had a
positive effect on the delivery of PCC. Self-efficacy had a partial
mediating effect in the relationship between hospital culture
and PCC implementation. The size of the mediating effect has
been presented in Table 5. Additionally, 76.81% of the total
effects of hospital culture on the perceived provision of PCC
were direct effects and 23.19% were indirect effects, mediated
by self-efficacy. These results supported H4, suggesting that self-
efficacy mediated the relationship between hospital culture and
healthcare workers’ PCC implementation.
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TABLE 5 | Total, direct, and mediating effects of self-efficacy in the relationship between hospital culture and healthcare workers’ perceived provision of patient-centered
care.
Effect size Boot SE Lower end of
boot CI
Upper end of
boot CI
Percentage
Total effect 0.815 0.022 0.772 0.859
Direct effect 0.626 0.025 0.577 0.676 76.81%
Mediating effect of self-efficacy 0.189 0.024 0.143 0.238 23.19%
Boot, bias-corrected percentile bootstrap method; SE, standard error; CI, 95% confidence interval. All values have been rounded up to three decimal places.
TABLE 6 | Analysis of the moderated mediation effect.
Antecedent Consequent
M (self-efficacy) Y (PCC)
βSE tβSE t
Constant 35.896 5.724 52.967*** 49.26 1.425 34.567
Age 0.119 0.202 0.589 0.493 0.264 1.864
Title 0.74 0.178 4.148*** 0.364 0.235 1.549
Post 0.603 0.164 3.664*** 0.747 0.217 3.449***
Familiarity with PCC 0.62 0.137 4.510*** 0.26 0.181 1.432
Hospital culture 0.405 0.017 24.047*** 0.593 0.026 22.997***
Self-efficacy 0.403 0.031 12.938***
Pursuit of success 0.211 0.041 5.171*** 1.064 0.252 4.217***
Avoidance of failure 0.493 0.223 2.209*** 0.574 0.218 2.631**
Hospital culture ×Pursuit of success 0.022 0.043 3.479***
Hospital culture ×Avoidance of failure 0.074 0.014 7.979***
Self-efficacy ×Pursuit of success 0.128 0.115 4.385***
Self-efficacy ×Avoidance of failure 0.017 0.005 3.327***
R²=0.377 R²=0.522
F (7, 1722) =149.017*** F (8, 1721) =234.921***
All values have been rounded up to three decimal places. *p<0.05, **p<0.01, and ***p<0.001. Boot, bias-corrected percentile bootstrap method; SE, standard error; CI, 95%
confidence interval; PCC, patient-centered care.
Analysis of the Moderating Effect of
Achievement Motivation
The moderating effect of healthcare workers’ achievement
motivation was examined using the mediation model. The two
dimensions of achievement motivation were analyzed separately
as the pursuit of success was positively correlated with the
perceived provision of PCC, whereas the avoidance of failure
was negatively correlated with the perceived provision of PCC.
A moderated mediation model was constructed after decentering
the pursuit of success, avoidance of failure, and hospital
culture and including the interaction terms. The results of the
moderated mediation model have been displayed in Table 6.
The interactions between hospital culture and the pursuit of
happiness and the avoidance of failure had significant effects on
self-efficacy (β=0.022, p<0.001; β= 0.493, p<0.001).
Simple slope tests (Figure 2A) further revealed that hospital
culture had a relatively weaker effect on healthcare workers’ self-
efficacy when the pursuit of success was low whereas hospital
culture had a relatively stronger effect on healthcare workers’
self-efficacy when the pursuit of success was high. Furthermore,
Figure 2B shows that hospital culture had a relatively stronger
effect on healthcare workers’ self-efficacy when the avoidance
of failure was low, whereas hospital culture had a relatively
weaker effect on healthcare workers’ self-efficacy when the
avoidance of failure was high. Thus, these results supported
H5, indicating that achievement motivation moderated the
relationship between hospital culture and healthcare workers’
self-efficacy. Additionally, the pursuit of success had a positive
effect in the relationship between the aforementioned variables,
whereas the avoidance of failure had a negative effect.
Moreover, Table 6 demonstrates that the interaction effects
between self-efficacy and the pursuit of success and avoidance of
failure had significant moderating effects on PCC (β= 0.128,
p<0.001; β= 0.017, p<0.001). These results indicated that
the mediating effect of self-efficacy in the relationship between
hospital culture and the provision of PCC was moderated by
achievement motivation (comprising the pursuit of success and
avoidance of failure). To further evaluate the moderating effect of
achievement motivation on the mediating effect of self-efficacy,
we performed bootstrap testing and explored the indirect effect
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Huang et al. Healthcare Workers’ Patient-Centered Care
FIGURE 2 | (A) Moderating effect of the pursuit of success in the relationship between hospital culture and healthcare workers’ self-efficacy. (B) Moderating effect of
the avoidance of failure in the relationship between hospital culture and healthcare workers’ self-efficacy.
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Huang et al. Healthcare Workers’ Patient-Centered Care
TABLE 7 | Bootstrap testing for the moderated mediation effect.
Moderating variable Boot SE Effect Bootstrap 95% CI
Lower end of
Boot CI
Higher end of
Boot CI
Pursuit of success
1SD (14.253) 0.036 0.190 0.12 0.259
M (16.899) 0.033 0.265 0.199 0.331
+1SD (19.546) 0.037 0.340 0.268 0.413
Avoidance of failure
1SD (6.637) 0.023 0.190 0.148 0.239
M (9.627) 0.02 0.172 0.135 0.215
+1SD (12.616) 0.028 0.153 0.105 0.217
Boot, bias-corrected percentile bootstrap method; SE, standard error; CI, 95%
confidence interval. All values have been rounded up to three decimal places.
of the pursuit of success and avoidance of failure on three levels
of self-efficacy. As shown in Table 7, the results demonstrate that
self-efficacy had a stronger mediating effect on the perceived
provision of PCC among healthcare workers with a high need
for pursuing success (ρ=0.340, 95% CI not including 0) as
compared to healthcare workers with a low need for pursuing
success (ρ=0.190, bootstrap 95% CI not including 0). On the
contrary, self-efficacy had the weakest mediating effect on the
perceived provision of PCC among healthcare workers with a
high need for avoidance of failure; that is, the indirect effect of
self-efficacy was lowest when the avoidance of failure was 1SD
above the mean (ρ=0.153, 95% CI not including 0).
DISCUSSION
Effects of Hospital Culture on PCC
The present study found that hospital culture played an
important role in healthcare workers’ care delivery. As a
manifestation of healthcare personnel’s collective values and
norms, hospital culture can deeply influence their mindset
and behaviors. Consistent with Zhang’s study (13), innovative
organizational culture was found to have a positive effect on
healthcare workers’ provision of PCC. This could be because
an open atmosphere stimulates positivity and creativity among
employees, creating a favorable environment for them to work on
new projects and develop new skills, and especially to implement
innovative patient-focused treatment plans. Additionally, the
present findings are corroborated by those of Zhu’s study
(14) as charismatic leadership facilitated empathy for patients
among healthcare workers; participants reported that they
could think from the patients’ perspective, and listen to and
communicate effectively with them. Leaders effectively enhanced
their employees’ awareness of PCC and the importance of
empathy by urging them to respect and care about patients and
protect patients’ rights.
Healthcare workers who had received training to develop
their communication skills scored higher than those who had
not received such training. This finding is consistent with Jeong
and Park’s study (49), suggesting that a healthy atmosphere
involving communication is conducive to healthcare workers’
efficiency in the provision of healthcare services as it boosts
understanding and togetherness, fostering tolerance and unity.
Additionally, in line with the conclusions drawn by Fralicx
(50), cross-team collaboration was associated with effective
communication among healthcare workers. Thus, hospitals
can set up multidisciplinary teams and construct streamlined
communication or feedback mechanisms to enhance cooperation
among different departments and facilitate the implementation
of PCC.
Mediating Effects of Self-Efficacy
While exploring the mechanisms for the adoption of PCC, it is
beneficial to examine the mediating effects of self-efficacy in the
relationship between hospital culture and healthcare personnel’s
provision of PCC. Consistent with Yang et al. (51), the current
study revealed that hospital culture affected healthcare workers’
perceived provision of PCC, which was mediated by their self-
efficacy. Self-efficacy can have direct effects on an individual’s
choices, goals, mindset, and attribution style, among others.
Good hospital culture can foster healthcare professionals’ self-
efficacy, further enabling them to implement PCC.
The positive influence of hospital culture on self-efficacy can
be explained in two ways. First, a supportive environment within
a healthy hospital culture could increase healthcare workers’
self-efficacy (52). When leaders highlight and champion the
use of PCC in addition to advances in medical technologies
and services that empower cross-team collaboration, healthcare
workers might experience high levels of meaningfulness and
confidence in completing their work; this could accelerate their
ability to deliver healthcare services. Second, communication
is an important factor in patient-centered medicine and calls
for healthcare personnel’s transition from traditional attitudes
to attitudes of respect and care for patients’ preferences, needs,
and values (53). Open-minded leaders, innovative culture,
and multidisciplinary cooperation can boost medical workers’
confidence in effective communication, and thus, increase their
willingness to implement PCC.
Meanwhile, self-efficacy had a positive effect on PCC;
this is consistent with Sommaruga et al.’s findings (45),
suggesting that healthcare providers with high self-efficacy
had good interpersonal relationships and professional skills.
Welsh (54) suggested that the enhancement of self-efficacy
among doctors was effective in improving their communication
skills; for example, doctors with high self-efficacy—consistent
with the requirements of PCC—provided more disease-related
information and medical knowledge to patients; encouraged
them to communicate; and were responsive to their questions,
suggestions, needs, and worries.
Moderating Effects of Achievement
Motivation
According to McClellands (45) achievement need theory,
achievement motivation among social members stems from
specific social and cultural environments. In this study, we
constructed a moderated mediation model based on achievement
theories. Achievement motivation exerted significant moderating
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Huang et al. Healthcare Workers’ Patient-Centered Care
effects in the relationship between hospital culture and self-
efficacy. In the same culture, healthcare workers with high
achievement motivation and self-efficacy were highly willing to
communicate with patients. This could be because they cared
about the patients’ feelings and were mindful about responding
to them and meeting patients’ preferences and needs. This is in
line with Wang’s study (20), suggesting that healthcare workers’
self-efficacy, and hence, achievement motivation, are reinforced
when they overcome problems and difficulties in services. On the
contrary, when issues keep sustaining, achievement motivation is
triggered among healthcare workers with high self-efficacy owing
to their confidence, whereas healthcare workers with low self-
efficacy might adopt negative attitudes concerning the provision
of PCC to avoid failure.
In line with Khongsamai et al.’s findings (55), in the current
study, an innovative organizational culture contributed to an
increase in effective communication. This could be because an
open and innovative work environment facilitates initiatives
among healthcare workers, improves their consciousness about
communication, fosters innovation in communication styles
and skills, and thus, promotes doctor-patient communication.
On the contrary, achievement motivation moderated the
relationship between self-efficacy and patient-centered practice
among healthcare workers. Similar to Yim and Lees findings (56),
we found that healthcare workers who pursued success tended to
have strong social responsibility, introspected about their actions
based on patients’ feedback, showed progress in ethical values and
skills, and encouraged patients to participate in discussions and
express their feelings.
The avoidance of failure was found to negatively moderate the
relationship between self-efficacy and the provision of PCC; this
has repeatedly been demonstrated in the fields of psychology and
education (57,58). In the current study, this could be because
medical personnel with a strong need to avoid failure might have
anticipated job burnout owing to the patient-centered services
that might require several emotional resources in addition to
concentration; they might also have been worried about the
status of rewards and outcomes of the long-term input. However,
the negative effect of avoidance of failure was not stronger
than the positive effect of pursuit of success, implying that the
healthcare workers’ need to pursue success primarily influenced
their achievement motivation.
Implications and Limitations
We believe that the present results have theoretical and
practical significance. To begin with, the findings have strong
implications for the development of strategies for stimulating
healthcare workers’ provision of PCC, which might be effective
in transforming hospital administration methods and enhancing
the efficiency of healthcare services. For example, to strengthen
patient services, hospitals should establish an innovative
culture, constantly work on creativity, encourage healthcare
workers to innovate, and stimulate healthcare workers’ internal
achievement motivation by challenging them. Second, hospitals
should establish a charismatic leadership culture. Hospital
leaders should set an example and fully mobilize healthcare
workers’ consciousness and enthusiasm to serve patients.
Moreover, hospital leaders should pay attention to their
own quality improvement, respect healthcare workers, and
be sensitive to their needs. Third, hospitals should establish
a multidisciplinary diagnosis and treatment team to foster a
culture of cooperation. By facilitating information exchange
and providing a sharing platform for each department, a good
communication and feedback mechanism is formed within
the hospital, promoting internal cooperation. A good internal
communication atmosphere is helpful for healthcare workers to
understand each other, cultivate team spirit, and improve patient
service efficiency. Our study found that the external hospital
culture drives healthcare workers’ attitudes and behaviors. It is
not combined with the viewpoint of motivation theory, which
adds further value to the literature on motivation theories.
The study also has some limitations. First, the recruited
healthcare workers were from hospitals in Hangzhou; this could
limit the representativeness of the sample and generalizability
of our findings. Thus, further research should be conducted
in other regions of China. Second, this study adopted a cross-
sectional design; consequently, we could not capture the causal
effect of changes over time. Therefore, future studies must
adopt longitudinal, experimental, or cross-sequential designs and
employ hierarchical linear models; studies must also test for the
confounding and mediating effects of different variables. Third,
this study explored healthcare workers’ perceptions of their
provision of PCC; future studies must focus on the perspectives
of both healthcare providers and patients. Fourth, all the variables
were assessed through self-report, and although surveys were
answered anonymously, social desirability bias may still have
influenced the responses to some extent.
CONCLUSIONS
The present study indicated that hospital culture can affect
healthcare workers’ implementation of PCC. Accordingly,
hospitals could organize activities for healthcare workers
to discuss hospital culture; this would strengthen their
understanding of the importance of hospital culture.
Additionally, hospital culture can boost the provision of
PCC via the enhancement of self-efficacy and achievement
motivation among healthcare workers. Therefore, hospital
administrators should pay attention to the psychological status
of their staff and develop their confidence in interpersonal
networking and effective communication to help them build
their self-efficacy for PCC and motivation for success.
DATA AVAILABILITY STATEMENT
The original contributions presented in the study are included
in the article/supplementary material, further inquiries can be
directed to the corresponding author/s.
ETHICS STATEMENT
The study was approved by the Institutional Review Board of
Hangzhou Normal University. All study participants provided
Frontiers in Public Health | www.frontiersin.org 12 June 2022 | Volume 10 | Article 919608
82
Huang et al. Healthcare Workers’ Patient-Centered Care
informed consent, and the study was performed in accordance
with the Ethical Standards as laid down in the 1964 Declaration
of Helsinki and its later amendments. The patients/participants
provided their written informed consent to participate in
this study.
AUTHOR CONTRIBUTIONS
XH conceptualized the study, drafted the methodology, and
operated the software. YG performed the statistical analysis and
prepared the first draft of the manuscript. HC helped with
visualization and investigation. HZ operated the software and
validated the findings. XZ helped in writing, reviewing, and
editing the manuscript. All authors approved the submitted
version of the manuscript.
FUNDING
This study was supported by the National Natural Science
Foundation of China Project (Grant No. 72004051) and the Soft
Science Research Program of Zhejiang Provincial Science and
Technology Plan (Grant No. 2021C35012).
ACKNOWLEDGMENTS
We would like to express our deepest gratitude to the
Health Commission of Zhejiang Province for their support in
conducting the research. We would like to thank the participants
for their valuable time and effort in completing the questionnaire.
We are also grateful to Jixiang Lai who helped us improve
the manuscript.
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Conflict of Interest: The authors declare that the research was conducted in the
absence of any commercial or financial relationships that could be construed as a
potential conflict of interest.
The reviewer XW declared a shared affiliation with all authors at the time
of review.
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Copyright © 2022 Huang, Gao, Chen, Zhang and Zhang. This is an open-access
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84
OPINION
published: 11 July 2022
doi: 10.3389/fpsyg.2022.905811
Frontiers in Psychology | www.frontiersin.org 1July 2022 | Volume 13 | Article 905811
Edited by:
Tindara Caprì,
National Research Council of Italy
(CNR), Italy
Reviewed by:
Usree Bhattacharya,
University of Georgia, United States
*Correspondence:
Fabrizio Stasolla
f.stasolla@unifortunato.eu
Specialty section:
This article was submitted to
Psychology for Clinical Settings,
a section of the journal
Frontiers in Psychology
Received: 27 March 2022
Accepted: 22 June 2022
Published: 11 July 2022
Citation:
Stasolla F, Vinci LA and Cusano M
(2022) The Integration of Assistive
Technology and Virtual Reality for
Assessment and Recovery of
Post-coma Patients With Disorders of
Consciousness: A New Hypothesis.
Front. Psychol. 13:905811.
doi: 10.3389/fpsyg.2022.905811
The Integration of Assistive
Technology and Virtual Reality for
Assessment and Recovery of
Post-coma Patients With Disorders
of Consciousness: A New Hypothesis
Fabrizio Stasolla*, Leonarda Anna Vinci and Maria Cusano
Giustino Fortunato University of Benevento, Benevento, Italy
Keywords: post-coma, disorders of consciousness, assessment, rehabilitation, new technologies, acquired brain
injuries
INTRODUCTION
Multiple disabilities due to an outcome of coma combined with severe to profound disorders of
consciousness may pose serious challenges to daily medical centers and rehabilitative settings.
Beside specific pharmacological treatments delivered by specialized professionals, they may need
diagnostic tools and rehabilitative interventions enabling those patients with an active role,
constructive engagement, positive participation, independence, and self-determination (Pistoia
et al., 2008; Lancioni et al., 2014b; Formisano et al., 2018; Kulyk, 2019). Thus, two basic objectives
may be targeted within this framework, namely (a) the assessment and (b) the recovery of cognitive,
motor, and communicative functioning (Lancioni et al., 2009a, 2011; Kirsch et al., 2017; de
Tommaso et al., 2020).
Many clinical and research efforts have recently been devoted to the aforementioned critical
features (i.e., evaluation and rehabilitation). With regard to the assessment, two main viewpoints
may be emphasized. First of all, the existing literature is focused on determining the patient’s
state of functioning. That is, it is useful to identify whether patients are in a vegetative state or
a more favorable diagnosis of minimally conscious state could be made (Lancioni et al., 2008a;
Formisano et al., 2011; Pistoia and Sarà, 2012). Secondly, the dichotomy between the two above
clinical conditions (i.e., vegetative state or and minimally conscious state) is critically discussed
and any specific need to clarify the borderline between those two states requires to rectify more
straightful strategies (Kim et al., 2012).
With regard to the rehabilitation, different approaches may be acknowledged. For instance,
one may envisage environmental stimulation (Lancioni et al., 2014a, 2015). Otherwise, deep
brain stimulation may be adopted (Lancioni et al., 2010b). Additionally, brain computer interface
strategies may be implemented (Stasolla and De Pace, 2014). Those strategies rely on different
theoretical background which may have clinical and practical implications on the role of the
assessment and the role of the patient. The decision on whether the person is in a vegetative state or
in a minimally conscious state should be considered crucial prior to the intervention and the setup
for the intervention should be highly individualized to ensure the participant with a successful
learning process (Lancioni et al., 2017).
The purpose of this paper is to argue on both assessment and rehabilitative strategies, to
introduce the use of the technology as crucial means for the evaluation and the recovery of post-
coma patients and disorders of consciousness, either due to a stroke or a traumatic brain injury,
and to propose a new hypothesis of integration between assistive technology-based devices and
85
Stasolla et al. AT and VR in Post-coma
virtual reality setups to improve clinical conditions of post-coma
patients diagnosed with disorders of consciousness.
ASSESSMENT STRATEGIES
Basic assessment tools for identifying with certitude whether
a patient is in a vegetative state or in a minimally conscious
state commonly include behavioral scales, neuropsychological
evaluation, neuroimaging techniques, and behavioral data based
on learning setups (Ponsford et al., 2014; Kim et al., 2022;
Ngadimon et al., 2022). Frequently, more than one tool
and/or strategy are used for the evaluation (Lancioni et al.,
2017). Behavioral scales probably represent the most adopted
approach (Pistoia et al., 2013). An illustrative example is
constituted by the JFK Coma Recovery Scale-Revised (Giacino
et al., 2004) to determine the patient’s responsiveness on
communicative, sensorial, orientation, and motor levels of
functioning. Procedural difficulties may arise whenever the
patient does not have head/hand control in his/her behavioral
repertoire consistent with the scale’ s requests or is unable to
understand verbal instructions (Bosco et al., 2010).
Neuropsychological procedures including event-related
potentials such as P300 and/or mismatch negativity are also used
to assess the responsiveness of patients with severe disorders of
consciousness (Lancioni et al., 2009b, 2011). Thus, empirical
evidences of P300 or mismatch negativity are usually viewed
as basic signs of awareness or consciousness with meaningful
implications for the recovery process (Estraneo et al., 2022;
Pruvost-Robieux et al., 2022). Recent reviews (Pan et al., 2021;
Aubinet et al., 2022) critically discussed the use of event-related
potentials and emphasized the strengths to use multiple measures
to enhance the significance of the findings (Calabrò et al., 2021).
Neuroimaging techniques (e.g., functional magnetic
resonance imaging, fMRI) may be a reliable tool to identify
potential capacities or skills even in cases of minimal or
apparently absent responsiveness (Drayson, 2014:Kirsch et al.,
2017; Corsi et al., 2020). In fact, the use of those techniques can
strongly help researchers to catch relevant diagnostic outcomes
(Kirsch et al., 2017). Nevertheless, their use is still difficult and
the application may pose serious methodological challenges
in a wide part of medical or rehabilitative settings due to the
assessment of specific stimuli and/or the comprehension of
verbal instructions (Schwarzbauer and Schafer, 2011). A valid
alternative to the fMRI is represented by the positron emission
tomography (Briand et al., 2020).
Behavioral data based on learning principles may refer to
two different approaches. On one hand, based on classical
paradigm they include the capacity of the patient to positively
associate pairs of stimuli (Ricchi et al., 2022). On the other hand,
based on the operant paradigm, they consist on the capacity
of the patient to correctly match a behavioral response with
an environmental consequence (Lee et al., 2021). Empirical
evidences of learning between both approaches (i.e., a correct
association between events or its positive achievement) may
be considered as a non-reflective response and suggest a
diagnosis of minimally conscious state (Lancioni et al., 2008b).
Those strategies may be acknowledged as clinically relevant for
those patients who have a minimal behavioral repertoire (e.g.,
eyelid or lip movements) and may pose practical problems
with the JFK Coma Recovery Scale accordingly. Furthermore,
learning principles based on the operant paradigm may be very
useful to introduce a technological-aided program focused on
promoting the participant’s active role, constructive engagement,
and positive participation (Stasolla et al., 2015).
REHABILITATIVE STRATEGIES
Intervention solutions for persons with disorders of
consciousness may include different forms of environmental
stimulation, deep brain stimulation, transcranial magnetic
stimulation, brain computer interfaces, and learning-based
programs or technological-mediated options (Lancioni
et al., 2011, 2014a; Kim et al., 2012; Pistoia et al., 2013). An
environmental stimulation program is typically delivered by
the therapist/professional in charge of the patient. In its basic
form it includes the presentation of daily stimulus events such as
familiar music and/or verbal inputs during specific intervals of
time. In a more sophisticated form, it may involve specific daily
sessions with an intensive multi-sensorial intervention combined
with a verbal and a physical guide of relevant events provided by
the therapist (Lancioni et al., 2010a, 2014b). Although the basic
form is less effective with regard to the improvement on the
patient’s level of alert and positive involvement in the context,
the intensive form of environmental stimulation is more likely to
have beneficial effects on the participant’s level of attention and
participation (Pape et al., 2015).
Transcranial magnetic stimulation and deep brain stimulation
are considered common approaches within this specific
framework whose implementation does not require any specific
participation by the patient exposed to such strategy. Thus, while
evidence-based support is available in the literature for that
approach, studies suggest caution for its implementation because
the effects on the patient’s awareness and/or consciousness are
mixed with regard to the amplitude and clinical significance
(Kulyk, 2019).
Brain computer interfaces are systems devoted to measure
brain activity and convert such activity into artificial outputs
that restore, replace, enhance or support natural outputs of the
Central Nervous System. Accordingly, such strategy is expected
to modify the ongoing interactions between the Central Nervous
System and its external or internal environment. Different
techniques may be included to measure brain activity for brain
computer interfaces. The most frequent method is represented
by electrical signals detected through electrodes fixed invasively
or non-invasively on the surface of the cortex or the scalp.
Additionally, a metabolic measure may be recorded through
fMRI (Lancioni et al., 2015).
Learning-based strategy are widely different from the
aforementioned detailed strategies. In fact, that approach
emphasizes the participant’s active role, constructive engagement,
and social interactions, mediated by the technology. That is,
the strategy is largely designed to monitor the participant’s
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Stasolla et al. AT and VR in Post-coma
behavioral repertoire and modify it through the manipulation
of environmental consequences to ensure the participant with
an independent access to positive stimulation (Stasolla et al.,
2022). Those programs are aimed at fostering the participant’s
self-determination and reducing either caregivers or families’
burden accordingly (Savoia et al., 2021). Recently, the Covid-
19 pandemic outlined the development of the new technologies
with an emphasis on virtual reality setups and telerehabilitation
strategies to supervise patients remotely (Caprì et al., 2021;
Momsen et al., 2022).
VIRTUAL REALITY
Virtual reality (VR), and augmented reality (AR) setups, have
currently been adopted as crucial means of new technological-
aided programs in different area of public health, namely
(a) assessment, (b) diagnosis, (c) recovery, rehabilitation, and
wellbeing. With regard to rehabilitative programs, VR has been
largely adopted to positively overcome neurological impairments
including neurodevelopmental disorders, and neurodegenerative
diseases (Stasolla, 2021; Stasolla et al., 2021). VR ensures
persons with neurological impairments with sensory experiences,
computer-mediated in artificial environments, enhancing virtual
interactions similarly to the real life. AR, as part of VR,
emphasizes an interaction in a physical condition, differently
from the artificial context provided by VR. That is, VR usually
requires the use of specific headsets, which may not be easily
wearable for individuals with neurological disorders. Conversely,
AR may be viewed as easier to use because it refers to I-PAD,
tablets, and smartphones, which are more suitable to the real
world (Bekkers et al., 2020; Held et al., 2020; Levin and Demers,
2021). Although widely used in patients with disorders of
consciousness (Hinze et al., 2021; Kwok et al., 2021), to the best
of our knowledge it has never been used in patients with acquired
brain injuries, history of coma and post-coma outcomes, except
for the contribution of Maggio et al. (2020). Although it
may be considered as ethically controversial and questionable,
such hypothesis undoubtedly merits to be empirically tested,
eventually integrated with an assistive technology device, for both
assessment and recovery goals.
DISCUSSION
Two ending conclusions may be putted forward on assessment
strategies. First, using suitable corrections or supplements,
behavioral scales may be considered as a practically significant
solution to surpass the limitations of the scale and improve
diagnostic accuracy accordingly. The aforementioned learning
setups may be viewed as suitable issues in this regard
(Lancioni et al., 2007a,b). Second, repeating a combined
assessment between two or more strategies (i.e., behavioral
scales, neuropsychological approach, and/or behavioral data),
one may argue that the risk of individual’s fluctuations and/or
misdiagnosis might be profitably prevented (Pistoia and Sarà,
2012). Among new technologies, Hyun et al. (2021) proposed a
virtual reality technology-based quantitative assessment method
combined with an eye-tracking system to minimize misdiagnosis
of a patient’s eye movements, such as visual startle, visual fixation,
and visual pursuit. Twenty healthy patients and five chronic
patients in a vegetative state were systematically compared. Three
stimuli were presented and visual responses data were recorded
to identify valid and accurate responses to each stimulus. The
system defined three of the chronic patients as showing visual
fixation, undetectable through clinical assessment beforehand.
Lech et al. (2021) proposed the term “Cyber-Eye” to include
the emerging cognitive applications of eye-tracking interfaces for
neuroscience research, clinical practice, and biomedical industry.
The perspective paper suggested a brain computer interface to
become less invasive, less dependent on brain activities, and more
applicable as the Cyber-Eye technologies continue to develop.
Two ending considerations may be formulated on
rehabilitative strategies. First, additional data are mandatory to
accurately identify the impact of the different strategies and their
reliability over the time and across patients. Second, systematic
comparisons between procedures may be fundamental to
determine the effects on a number of dimensions such as
active role and positive participation (Lancioni et al., 2017).
Kujawa et al. (2022) recently investigated the outcomes of an
oculomotor training course aimed at the therapy of visual-spatial
functions. Five patients with brain damage who were unable to
communicate verbally or motorically, diagnosed between the
vegetative state and the emergence from the minimally conscious
state were enrolled. Over a 6-week period, the participants
underwent to solved tasks associated with recognizing objects,
size perception, color perception, perception of objects structure
such as letters, detecting differences between images and
assembling image components into the complete image with
the use of an eye tracker. Findings evidenced the effectiveness
of the oculomotor training based on a longer duration of
the work with the eye-tracker to improve visual-spatial
functions. Sanz et al. (2021) demonstrated clinical relevance
and translational potential in both diagnosis and prognosis of
post-coma patients with disorders of consciousness. Magnetic
resonance imaging and high-density electroencephalography
provided measurements of brain connectivity between functional
networks, assessment of language functions, detection of covert
consciousness, and prognostic markers of recovery. Positrons
emission tomography could identify patients with preserved
brain metabolism despite clinical unresponsiveness and could
measure glucose consumption rates in targeted brain regions.
Such techniques were considered encouraging and promising for
both assessment and recovery purposes in clinical settings.
Finally, our new hypothesis of the integration between
assistive technology-based devices and virtual reality setups may
be interesting practical implications and may be adopted for both
assessment and recovery purposes. For example, it may enable
post-coma patients with an independent access to immersive
virtual environments similar to real life. In this regard it may
be viewed as a basic option of scaffolding (Dicé et al., 2018).
Otherwise, one may argue that it may constitute a further form
of constructive engagement and favorable occupation (Stasolla
et al., 2014a) and/or of psychological wellbeing (Freda et al.,
2019). Its implementation may be helpful for communicative
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Stasolla et al. AT and VR in Post-coma
purposes and/or challenging behaviors and the clinical relevance
may be evaluated through social validation procedures (Lancioni
et al., 2009a; Chiapparino et al., 2011; Stasolla et al., 2014b,
2017). For example, one may envisage the implementation
in clinical settings of a virtual reality setup activated by an
assistive technology-based device. Strategies of telerehabilitation
(Zucchella et al., 2018; Raso et al., 2021) might be implemented.
Moreover, cognitive and motor rehabilitation solutions may be
embedded (Maggio et al., 2020; Daibert-Nido et al., 2021).
Future research perspectives within this framework should
deal with the following topics: (a) an extension to new
technological solutions combined to virtual reality-based setups
to investigate the assessment and rehabilitation purposes of post-
coma patients with disorders of consciousness, (b) differentiate
between traumatic brain injuries, stroke, and viral causes of the
coma, (c) integrate a multi-componential approach which should
include behavioral scales with neuropsychological strategies,
electrophysiological measures (e.g., event-related potentials), and
behavioral data with the mediation of assistive technology-
based devices and virtual reality setups to enhance cognitive,
communicative, emotional, and motor skills of post-coma
individuals with disorders of consciousness in both clinical and
home-based settings.
Furthermore, the sustainability of such approach with
regard to (1) its costs, (2) human resources, and (3)
technological solutions available (e.g., mobile devices, wearable
devices, computer-based options) should be investigated.
Additionally, the inclusion in medical or rehabilitative
centers should be exhaustively addressed. For instance,
Bhattacharya and Pradana (in press) evaluated the literacy
process in a three-year old child with Rett syndrome
and significant disabilities. Two different modalities were
considered, namely (a) corporal, and (b) oral. It would
probably be interesting to transfer such approach to post-
coma individuals with extensive motor disabilities and lack
of speech.
AUTHOR CONTRIBUTIONS
FS conceived and wrote the paper. LV and MC edited and revised
the manuscript. All authors made a substantial contribution to
the article.
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Frontiers in Psychology | www.frontiersin.org 6July 2022 | Volume 13 | Article 905811
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TYPE Study Protocol
PUBLISHED 01 September 2022
DOI 10.3389/fpsyg.2022.976661
OPEN ACCESS
EDITED BY
Casandra Isabel Montoro,
University of Jaén, Spain
REVIEWED BY
Andrea Polari,
Orygen Youth Health, Australia
Emily Bilek,
University of Michigan, United States
*CORRESPONDENCE
Trinidad Peláez
mtrinidad.pelaez@sjd.es
SPECIALTY SECTION
This article was submitted to
Psychology for Clinical Settings,
a section of the journal
Frontiers in Psychology
RECEIVED 23 June 2022
ACCEPTED 27 July 2022
PUBLISHED 01 September 2022
CITATION
Peláez T, López-Carrillero R,
Ferrer-Quintero M, Ochoa S and
Osma J (2022) Application of the
unified protocol for the transdiagnostic
treatment of comorbid emotional
disorders in patients with ultra-high
risk of developing psychosis:
A randomized trial study protocol.
Front. Psychol. 13:976661.
doi: 10.3389/fpsyg.2022.976661
COPYRIGHT
© 2022 Peláez, López-Carrillero,
Ferrer-Quintero, Ochoa and Osma.
This is an open-access article
distributed under the terms of the
Creative Commons Attribution License
(CC BY). The use, distribution or
reproduction in other forums is
permitted, provided the original
author(s) and the copyright owner(s)
are credited and that the original
publication in this journal is cited, in
accordance with accepted academic
practice. No use, distribution or
reproduction is permitted which does
not comply with these terms.
Application of the unified
protocol for the transdiagnostic
treatment of comorbid
emotional disorders in patients
with ultra-high risk of
developing psychosis: A
randomized trial study protocol
Trinidad Peláez1,2*, Raquel López-Carrillero1,2,
Marta Ferrer-Quintero1,2, Susana Ochoa1,2 and Jorge Osma3,4
1Parc Sanitari Sant Joan de Déu, Barcelona, Spain, 2Investigación Biomédica en Red de Salud
Mental (CIBERSAM) Instituto de Salud Carlos III, Madrid, Spain, 3Departamento de Psicología y
Sociología, Universidad de Zaragoza, Zaragoza, Spain, 4Instituto de Investigación Sanitaria de
Aragón, Zaragoza, Spain
Background: Cognitive Behavioral Therapy is delivered in most of the early
intervention services for psychosis in different countries around the world.
This approach has been demonstrated to be effective in decreasing or at
least delaying the onset of psychosis. However, none of them directly affect
the comorbidity of these types of patients that is often the main cause of
distress and dysfunctionality. The Unified Protocol for the Transdiagnostic
Treatment of Emotional Disorders (UP) is a psychological intervention that
combines cognitive-behavioral and third-generation techniques that address
emotional dysregulation as an underlying mechanism that these disorders
have in common. The application of this intervention could improve the
comorbid emotional symptoms of these patients.
Materials and methods: The study is a randomized controlled trial in which
one group receives immediate UP plus standard intervention and the other is
placed on a waiting list to receive UP 7 months later, in addition to standard
care in one of our early psychosis programs. The sample will be 42 patients
with UHR for psychosis with comorbid emotional symptoms. The assessment
is performed at baseline, at the end of treatment, and at 3-months’ follow-up,
and includes: general psychopathology, anxiety and depression, positive and
negative emotions, emotional dysregulation, personality, functionality, quality
of life, cognitive distortions, insight, and satisfaction with the UP intervention.
Discussion: This will be the first study of the efficacy, acceptability, and
viability of the UP in a sample of young adults with UHR. The results of this
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study may have clinical implications, contributing to improving the model of
care for young people who consult for underlying psychotic, anxiety, and/or
depressive symptoms that can lead to high distress and dysfunctionality.
Clinical trial registration: [https://clinicaltrials.gov/], identifier
[NCT04929938].
KEYWORDS
anxiety disorders, depressive disorders, ultra high risk for psychosis, unified protocol,
transdiagnostic, psychotic disorders, emotional focused therapy
Introduction
In recent decades one of the main topics of research
in mental health has been psychotic disorders and, more
specifically, their first clinical manifestations. Cumulative
research has found evidence highly suggestive of a relationship
between the duration of untreated psychosis (DUP) and both
short- and long-term prognosis, of a relationship between longer
DUP and more severe positive symptoms, and of more severe
negative symptoms and lower chance of remission at follow-
up (Howes et al.,2021). For this reason, early detection and
intervention programs in psychosis have been disseminated in
several countries around the world (Taylor,2016).
In this sense, most psychotic disorders do not appear
abruptly. Rather, the onset is preceded by subclinical
manifestations of symptoms that gradually increase in
frequency and intensity (Shah et al.,2017). This period has
been defined and operationalized as “Ultra High Risk” (UHR;
Yung et al.,2005). Subsequently, numerous studies have been
carried out with the main objective of determining the rates
of transition to psychosis as the main measure of outcome
(Fusar-Poli et al.,2012). Research has indicated that people
that meet UHR criteria are at increased risk of developing
psychosis in the short term, and this risk increases over time
(Salazar de Pablo et al.,2021). Despite this association, the UHR
paradigm is not without criticism. Some previous literature has
argued that the “UHR for psychosis” label can be stigmatizing.
First, because setting the goal of preventing transition to
psychosis/schizophrenia could create a paradox or a self-
fulfilling prophecy of failure. Second, because initial research
led to clinical trials prescribing antipsychotic medication in the
UHR/CHR population (Van Os and Guloksuz,2017).
There are recent studies that relate the stigma associated
with the diagnosis of UHR with a worse prognosis (Colizzi
et al.,2020) and stimulated negative stereotypes (Woodberry
et al.,2021). For this reason, alternative terms like pre-diagnosis
stage’ (PDS), potential of developing a mental illness (PDMI),
and disposition for developing a mental illness (DDMI) have
Abbreviations: UP, Unified Protocol; UHR, Ultra-high Risk (for psychosis);
TAU, Treatment as Usual; ED, Emotional disorders; WL, Waiting list.
been proposed that generate less discomfort among patients
and families (Polari et al.,2021a). Generally, pharmacological
therapy with antipsychotic medication is not recommended,
and psychological interventions represent a more appropriate
alternative to offer treatment to people at UHR (NICE,
2014;Orygen The National Center of Excellence in Youth,
2016). In a recent meta-analysis, it was found that early
interventions reduced transition rate and attenuated positive
psychotic symptoms at 12 months. In addition, psychological
interventions demonstrated a significant reduction in transition
rates compared to pharmacological therapy (Mei et al.,2021).
Further, transition to psychosis is not the only outcome for
people at UHR (Polari et al.,2021b). Some studies have shown
different clinical trajectories beyond the transition to psychosis,
such as no transition, chronification of attenuated symptoms
or their recurrence (Lin et al.,2015), positive improvement,
moderate impairment, and severe impairment (Allswede et al.,
2020). Another study found 17 different trajectories in UHR
patients from complete recovery to transition to psychosis,
including no remission, relapse, and recurrence (Polari et al.,
2018). A recent study observed that 56.8% of patients with UHR
met criteria for a non-psychotic disorder at 6-years’ follow-
up (Rutigliano et al.,2016). Similarly, a sample from Spain
yielded comparable results (Barajas et al.,2019). Persistence or
recurrence of non-psychotic comorbid disorders was associated
with worse overall functioning. At baseline, they found that
70.3% of this sample had some comorbidity with a non-
psychotic disorder (affective disorder 36.5%, anxiety disorder
10.8%, mixed anxiety-depressive disorder 5.4%, and personality
disorder 6.8%). These results showed that although transition to
psychosis may be a frequent outcome of patients at UHR, there
is also a very high risk of developing another psychiatric disorder
(Rutigliano et al.,2016).
Recently, a growing body of literature has suggested that
the classification of mental disorders needs to shift from a
categorical model (such as DSM or CIE) to a dimensional one
(Van Os and Guloksuz,2017;McGorry et al.,2018). Under this
paradigm, it is proposed that there is a continuum between a
complete absence of symptoms and severe psychopathology. In
this continuum, patients may exhibit symptoms ranging from
mild to distressing to indicating the need for specialized help
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(McGorry et al.,2018), including people meeting the criteria
for UHR. This clinical staging and transdiagnostic framework
has led to a broader classification of subthreshold risk states
(CHARMS) including the bipolar trait vulnerability group,
the attenuated (hypo)manic symptom group, the moderate
(attenuated) depression group, and the attenuated borderline
personality group (Hartmann et al.,2019).
The development of a dimensional approach has fostered
the creation of different treatment alternatives, such as
transdiagnostic models (Rosellini and Brown,2019). These
models are focused on treating the etiological and maintenance
mechanisms shared by different mental disorders (Sauer-Zavala
et al.,2017). The Unified Protocol for the Transdiagnostic
Treatment of Emotional Disorders (UP; Barlow et al.,2017,
2019) focuses on improving emotional regulation through
acceptance, tolerance of intense emotions, and behavior
modification (Barlow et al.,2019). To achieve these objectives, it
uses traditional cognitive-behavioral techniques (e.g., cognitive
restructuring or exposure) combined with third-generation
techniques (e.g., mindfulness) (Barlow et al.,2019). This
treatment is indicated for people with difficulties in emotional
regulation with or without diagnostic comorbidity. Most
recently, a clinical trial is under way in Spain to test the
efficacy, cost-effectiveness, and implementation characteristics
(acceptability, usability, and utility) of a blended intervention
which will enhance face-to-face treatment by incorporating an
app-based intervention in onsite treatment (Osma et al.,2021).
Current psychological interventions targeting attenuated
psychotic symptoms have proved effective in reducing the rates
of transition to psychosis in the medium term (Morrison et al.,
2004;Van der Gaag et al.,2013b;Ising et al.,2017) and in
reducing the severity of psychotic symptoms (Morrison et al.,
2012) compared with treatment as usual (TAU). However,
further studies are needed to demonstrate more robust results
(Van der Gaag et al.,2013b). Cognitive behavioral therapy
(CBT) manuals designed to treat UHR (French and Morrison,
2004;Van der Gaag et al.,2013a) do not specifically include
comorbid emotional symptoms (affective or anxiety disorders)
among treatment goals, although it is known that they are
highly prevalent and, in many cases, are the main cause of
dysfunctionality (Rutigliano et al.,2016). In the PACE-Manual-
Writing Group (Nelson and Orygen Youth Health Research
Centre Issuing Body,2012) there is a module that addresses
comorbidity, but in the case of the UP intervention, that is based
on the transdiagnostic approach, all psychotherapy techniques
have been chosen because they are associated with the core
vulnerabilities and processes shared by all emotional disorders
(Sauer-Zavala et al.,2017).
The UP has shown a reduction in symptoms of anxiety
and depression in several mental disorders (such as major
depressive disorder, obsessive-compulsive disorder, and social
anxiety, among others) with a large effect size, an increase in
adaptive emotional regulation strategies paired with a decrease
in maladaptive regulation strategies at a moderate effect size,
and an increase in functioning and quality of life (Sakiris and
Berle,2019;Cassiello-Robbins et al.,2020;Carlucci et al.,2021).
Furthermore, the benefits of the UP seem to be maintained at
6 months’ follow-up for clinical outcomes and at 12–18 months
follow-up in functioning (Bullis et al.,2014;Osma et al.,
2021). The UP is a standardized and manualized intervention
that can be delivered in individual (Barlow et al.,2017) and
group formats (Osma et al.,2022). The manual consists of 8
treatment modules.
To date, there is no published study that has used the
UP in the treatment of comorbid emotional symptoms in
patients that meet UHR criteria, save for a single case study
using the UP in a person with treatment-resistant schizophrenia
(Grasa and Corripio,2019) with promising results. There were
significant decreases between pre- and post-test measures of
anxiety, depressive symptoms, emotional dysregulation, loss
of control, rejection, interference scales, and hallucinations,
measured with the PSYRATS, as well as a significant increase
in quality of life. This work aroused interest in applying the UP
to psychotic disorders.
Ultra-high risk (for psychosis) patients often have difficulties
in engaging with mental health services (Ben-David et al.,
2019) being this situation an important obstacle to receiving
appropriate treatment. In addition, young people are often
familiar with new technologies (Lupton,2021) and because
of that, we believe that the application of the UP in an
online format may reduce the barriers to accessing treatment
(Osma et al.,2021). We already know that evidence-based
therapies can be administered online without sacrificing their
effectiveness (Andersson et al.,2014;McLaren et al.,2021).
In a recent review, videoconferencing interventions proved to
be reliable and highly acceptable for patients with psychotic
disorders (Santesteban-Echarri et al.,2020). With regard to
emotional disorders, no significant differences were found in
the effectiveness of face-to-face CBT and online CBT. Both of
them were shown to be effective in reducing the symptoms of
anxiety, depression, and stress, as well as in improving quality of
life (Stubbings et al.,2013). The UP has also been shown to be
effective in an online format (Carlucci et al.,2021).
A pilot study is under way to assess the feasibility
and efficacy of group UP to reduce comorbid emotional
symptoms in patients that meet UHR criteria. In the context
of the SARS-CoV-2 pandemic, the group sessions are being
conducted online. Given the evidence cited above, this method
of delivering the intervention would be as effective as in-
person treatment with the added benefit of encouraging the
attendance of people residing in different geographic territories
(Singh and Sagar,2022).
Study aims
Given the high level of comorbid anxiety and depression
among individuals meeting UHR criteria, the main objective
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of our study is to evaluate the efficacy of UP in addition to
TAU as compared to TAU in targeting symptoms of anxiety and
depression in UHR for psychosis patients.
As secondary objectives, changes in attenuated symptoms
of psychosis, transition to psychosis rates, cognitive distortions,
quality of life, metacognition, personality, and psychosocial
functioning, and the satisfaction of participants with the
treatment, are being assessed. Further, assessment will be made
of whether the results are maintained at 3 months’ follow-up.
Different clinical trajectories will be analyzed for comparison
with previous studies (Polari et al.,2018).
Materials and methods
Study design
This study is a randomized controlled trial. All patients are
assessed at baseline. Patients are assigned to either treatment
group, one receiving immediate treatment with UP and
treatment as usual, or to a waiting list, only receiving treatment
as usual. All patients are assessed post-treatment and at 3-
months’ follow-up. After the final assessment, patients in the
waiting list are offered the UP. A list of random numbers created
for this purpose is used.
Participants
Participants are people who meet criteria of UHR for
psychosis and who have comorbid symptoms of emotional
disorders and are receiving treatment in one of the Early
Pychosis Programs (PIPPEP) in Parc Sanitari Sant Joan de Déu.
The inclusion criteria are (1) age between 18 and 35 years
old, (2) a diagnosis of UHR for psychosis in the last 3 years and
inclusion in our early intervention program, (3) symptoms of a
comorbid emotional disorder, (4) fluent Spanish or Catalan, and
(5) signing the informed consent (IC).
The exclusion criteria are (1) a frank psychotic episode in the
past or in the present, (2) intellectual disability, (3) an organic
disorder that explains current symptomatology.
Measures
The variables to be studied are evaluated using the
instruments described in Supplementary Appendix A.
Data collection
The evaluation is being carried out at 3 time points.
A detailed description of the measures used in each evaluation
is reported in Supplementary Appendix B.
Evaluators have been trained in psychological evaluation
and specifically in the administration of the CAARMS (Yung
et al.,2005). They also are blind to the condition of
the study to which the participants have been assigned.
In order to ensure internal consistency of the evaluations,
interobserver reliability will be calculated with the Cohen
kappa. At the beginning of each session with the group
receiving UP, two scales are administered, the ODSIS and
the OASIS, to measure the severity of depression and
anxiety experienced during the previous week, in order to
observe fluctuations during treatment. This procedure is
performed following the recommendations of the UP manual
(Barlow et al.,2019).
CAARMS scores are also collected at the time patients begin
treatment in our early psychosis program, prior to entering the
baseline assessment of the present study. Medication changes
and number or TAU sessions will be recorded as a control
variables. Types and dosages of medication will be recorded at
the three time points of assessment.
Interventions
All study participants receive TAU, within our early
intervention program. It includes the following interventions:
psychological therapy (about 20–40 sessions of CBT) as well
as psychiatric treatment (with antidepressants, benzodiazepines
and only when needed antipsychotic medication), social work
intervention (vocational orientation and support), nursing
care (side effects monitoring and healthy habits), individual
cognitive remediation (if necessary), and family therapy. The
number of sessions received in TAU depends on the clinical
status of each patient. The maximum duration of TAU is
5 years. CBT delivered in TAU consists of techniques such
as behavioral experiments, socratic questioning, and some
exposure techniques mainly focused on subthreshold psychotic
symptoms (French and Morrison,2004;Nelson and Orygen
Youth Health Research Centre Issuing Body,2012;Van der
Gaag et al.,2013a). Patients receive weekly or fortnightly
sessions of psychotherapy. UP includes establishment of
the specific therapeutic aims of each participant, motivation
techniques, emotional psychoeducation, teaching functional
analysis of the emotional experiences, mindfulness techniques,
cognitive flexibility, analysis of emotional behaviors, and
training in opposite behaviors. We also use interoceptive
exposure, which we never use in individual CBT, and we
teach patients to create exposure hierarchies for intense
emotions so that they can follow treatment without the
continuous supervision of a therapist. The UP consists of
15 online group sessions of 2 h each week. The groups
include 5–8 participants. Participants receive an additional
follow-up session 1 and 3 months after the end of the
program. The sessions work on the 8 modules of UP
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for the transdiagnostic treatment of emotional disorders,
as detailed in the reference manuals (Barlow et al.,2019).
A summary of each session of the UP is detailed in
Supplementary Appendix C.
Fidelity to the UP treatment protocol is guaranteed through
weekly supervision with an accredited therapist. In addition,
the therapists who will perform the UP intervention have
undergone a 20-h training course. The contents of each module
are summarized in an infographic and delivered to patients after
the UP session to improve adherence to the intervention and
acquisition of the techniques.
Once the participants are recruited to the study, they are
randomized into one of the two conditions: TAU +immediate
UP (TAU +imm UP) or TAU +WL (TAU +Waiting
List). The first group will receive UP immediately in addition
to the TAU. The second group will do the TAU while
doing the assessments. During this period these patients
act as a control group. Seven months later, these patients
will receive UP, in addition to TAU. Assessments will
also be made at the same time points. This type of
study has been carried out previously (Carl et al.,2014).
The number of sessions of all the services used in TAU
(in both conditions) will be recorded in order to be
taken into account when statistical analyses are made. The
flowchart of the trial and its different stages is detailed in
Supplementary Appendix D.
Sample size calculation
Accepting an alpha risk of 0.05 and a beta risk of less than 0.2
in a bilateral contrast, 21 subjects in the PU +TAU group and
21 in the WL +TAU group are needed to detect a difference
equal to or greater than 1.57 units. The common standard
deviation is assumed to be 1.6. A follow-up loss rate of 20%
has been estimated.
Data analysis
To analyze the improvements in primary and secondary
variables throughout the study, linear mixed model analysis
will be used. This analysis will allow us to study the
main effects of time (pre-test, post-test, 3-month follow-up),
treatment condition (TAU vs. TAU +UP), and number
of sessions received (CBT sessions in TAU, UP sessions,
etc.). We will also calculate interaction effects (e.g., treatment
condition ×time, or treatment condition ×number of
sessions ×time, and the type and dosage of medication)
which will reveal whether the treatment condition and the
number of sessions received interacted with time in the
prediction of changes in study outcomes. In the event that
we observe a significant interaction, post hoc analysis will
be conducted. Due to the nature of the present study, we
expect to identify subgroups of patients presenting differing
evolutions in study variables according to the number of
sessions they have received.
The rate of transition to psychosis of patients in each
condition and the CAARMS symptom severity will be
calculated in order to evaluate changes in subthreshold
psychotic symptoms (Morrison et al.,2012). We will also
analyze the different clinical trajectories in the two groups
following other previous studies (Polari et al.,2018). If
any participant makes a transition to psychosis during their
participation in the study, they will be excluded (full-
blown psychosis is an exclusion criterion) and their data
will be taken into account for further analysis. Finally,
satisfaction of patients undergoing group treatment will
also be analyzed.
Discussion
To the best of our knowledge, this is the first study
to investigate the effectiveness of UP in a sample of young
adults diagnosed with UHR who also have comorbid emotional
symptoms. If the results of this study show that UP is
effective in treating the comorbid symptoms of UHR for
psychosis, this finding could contribute to expanding the
psychotherapeutic approaches that can be used with young
people presenting with an at-risk mental state. UP may
be complementary and/or an alternative to standard CBT
approaches. This study would need to be replicated with
a bigger sample.
Unified protocol has been shown to be effective in patients
with a primary diagnosis of emotional disorders, including
cases with comorbidity, according to the systematic review
studies and meta-analyses conducted to date (Sakiris and Berle,
2019;Cassiello-Robbins et al.,2020;Carlucci et al.,2021). We
hypothesize that this intervention could be equally effective in
young patients because there has not been a chronification of
their symptoms yet.
The UP contents and the way each emotion regulation
technique is introduced and trained for helps patients to
normalize their emotional symptoms or disorders, because
all people can experience intense emotions and respond
with emotional behaviors. It is positive for all people to
improve their emotional regulation skills. This perspective
focused on training skills can also help to reduce mental
health stigmatization. In addition, UP uses expressions like
“emotional experiences, “intense emotions,” and “emotion
driven behaviors” instead of other terms like “aggressive
response” or “negative emotions.” All these aspects can help
reduce the rejection of treatment by mental health services,
especially in young people.
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The telematic group format of the UP could improve
therapeutic adherence in young people, as they are familiar with
new technologies (Lupton,2021). Further, it may encourage
the recruitment of patients residing in remote areas and those
without specialized care resources.
Cognitive behavioral therapy delivered in TAU is an
intervention that has already been shown to be effective in
patients of this type (Van der Gaag et al.,2013a). However,
significant differences are expected in clinical variables in those
patients who additionally receive the intervention with the UP,
mainly in comorbid emotional symptomatology.
Given the high comorbidity of emotional disorders in
patients with UHR (Rutigliano et al.,2016) and the presence
of errors in information processing in both groups of
disorders, such as jumping to conclusion, selective care, and
catastrophization, as well as avoidant behaviors (Livet et al.,
2020), it is likely that these share common transdiagnostic
mechanisms with ED. It may be the case that improving
emotional regulation will have a positive effect on cognitive
biases implicated in the onset and maintenance of both
emotional disorders and symptoms of psychosis. If the
results show positive associations between improved emotional
regulation and improvement in cognitive biases, this would
provide a strong theoretical and clinical basis for offering UP
to people at the UHR of psychosis.
One limitation of the study is the potential difficulty in
isolating the impact of UP on outcome measures. This study is a
naturalistic study, that is, it is carried out in the context of public
mental health, which is why it is comparable with what has been
done up to now. Clinically, it would be more ethical to offer
an intervention like UP to all the participants of the study. We
expect that the statistical analyses mentioned above can increase
the robustness of the study results and solve this limitation.
The UP has already been shown to be effective with similar
symptoms (Sakiris and Berle,2019;Cassiello-Robbins et al.,
2020;Carlucci et al.,2021) and this brings us closer to the clinical
reality of mental health services for young people in public
health. Furthermore, this design may make it easier to collect
more samples since this type of patient is not very prevalent.
There are several previous studies that have used this type of
methodology (e.g., Carl et al.,2014). In this sense, this would
be the first step toward obtaining preliminary data on whether
the UP adds something to what is already done and to assess
aspects of viability and user satisfaction. The next steps will be
to compare the UP in isolation with the TAU.
Ethics statement
This study has been evaluated and approved by the Drug
Research Ethics Committee (CEIm) of the Parc Sanitari Sant
Joan de Déu. All participants are being provided with an
information sheet explaining the objectives and procedure of
the study as well as the confidentiality of the data collected.
All participants are being asked in writing for their consent in
accordance with the Declaration of Helsinki (WMA,2013) and
Law 14/2007 on Biomedical Research.
Author contributions
TP was the principal investigator of the project, led the
development of the manuscript, and investigator in charge of
recruiting patients. TP, JO, SO, RL-C, and MF-Q did the study
design and decided upon all the outcome measures. MF-Q
was carrying out the evaluation process and configured the
data collection system. RL-C and TP were carrying out the
therapy of the UP and made the infographics of each module.
JO was supervising all the therapy process and content of the
infographics. SO was responsible for determining sample size
and power calculation and proposing all the statistical analyses.
RL-C and MF-Q kept the patients linked to the study. JO
and SO supervised the development of the study. All authors
contributed to the manuscript and approved the final version of
the manuscript.
Funding
This work was financed by a grant from Parc Sanitari Sant
Joan de Déu [AR202003]. Jorge Osma has received support by
Gobierno de Aragon and FEDER 2014–2020 “Construyendo
Europa desde Aragon” [Grant Number Research team
S31_20D].
Acknowledgments
We would like to acknowledge all the patients who have
agreed to participate in this trial and all the mental health
professionals who are referring participants to our study. We
also would like to thank Parc Sanitari Sant Joan de Déu and
Sant Joan de Déu Foundation for encouraging research and
facilitating the means and funding to carry out this research.
Conflict of interest
The authors declare that the research was conducted in the
absence of any commercial or financial relationships that could
be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of
the authors and do not necessarily represent those of their
Frontiers in Psychology 06 frontiersin.org
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affiliated organizations, or those of the publisher, the
editors and the reviewers. Any product that may be
evaluated in this article, or claim that may be made by
its manufacturer, is not guaranteed or endorsed by the
publisher.
Supplementary material
The Supplementary Material for this article can be
found online at: https://www.frontiersin.org/articles/10.3389/
fpsyg.2022.976661/full#supplementary-material
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Frontiers in Psychology 08 frontiersin.org
98
Frontiers in Psychology 01 frontiersin.org
Eects of virtual reality natural
experiences on factory workers’
psychological and physiological
stress
Mu-HsingHo
1, Meng-ShinWu
2 and Hsin-YenYen
2*
1 School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR,
China, 2 School of Gerontology and Long-Term Care, College of Nursing, Taipei Medical University,
Taipei, Taiwan
Introduction: Manufacturing facilities and factories are stressful work
environments. Interventions to improve factory workers’ stress is necessary to
promote occupational health. This study aimed to examine the eects of virtual
reality natural experiences on furniture factory employees’ psychological and
physiological stress.
Methods: A single-blinded, non-randomised quasi-experimental study was
conducted between July and December 2021. Factory workers were recruited
from two factories, and all participants at a given factory were assigned to either an
experimental group or a comparison group. The intervention was conducted in a
clean conference room once a week for 12 weeks during the worker’s break time.
The experimental group received virtual reality natural experiences consisting
of 30-minute nature-based 360° videos which were played in a headset. The
generalised estimating equations were performed for the statistical analyses.
Results: In total, 35 participants completed the intervention. As to psychological
stress, the experimental group showed improvements in distress, depression, and
anxiety, and a positive aect after the intervention compared to the comparison
group. As to physiological stress, the experimental group showed improvements
in indicators of heart rate variability compared to the comparison group, including
standard deviations of all normal-to-normal intervals, low-frequency power, and
high-frequency power.
Discussion: Virtual reality is an innovative platform to bring the natural environment
into an indoor environment to create similar health eects.
KEYWORDS
green space, heart rate variability, immersion, mental health, occupational health,
virtual reality
1. Introduction
Occupational stress is a well-known issue worldwide that inuences both developed and
developing countries. Workplace stress occurs when work-related demands surpass a workers
capacity to manage them (World Health Organization, 2020). Moreover, globalization and
dramatic changes have had direct impacts on the variety of work in terms of technological
developments, higher job demands, and workloads. Also, aging populations and the
demographic and systemic structure of the workforce, such as a poor work-life balance, job
insecurity, and precarious employment, have resulted in a signicant occupational stress
epidemic worldwide (Sorensen et al., 2021). Work stress is particularly important and
OPEN ACCESS
EDITED BY
Lisa A. Osborne,
The Open University,
UnitedKingdom
REVIEWED BY
Delia Virga,
West University of Timișoara, Romania
Benjamin Huang,
University of California, San Diego,
UnitedStates
Anabela da Conceição Pereira,
University Institute of Lisbon (ISCTE), Portugal
*CORRESPONDENCE
Hsin-Yen Yen
yenken520@gmail.com;
kenji@tmu.edu.tw
SPECIALTY SECTION
This article was submitted to
Psychology for Clinical Settings,
a section of the journal
Frontiers in Psychology
RECEIVED 13 July 2022
ACCEPTED 15 February 2023
PUBLISHED 06 March 2023
CITATION
Ho M-H, Wu M-S and Yen H-Y (2023) Eects of
virtual reality natural experiences on factory
workers’ psychological and physiological
stress.
Front. Psychol. 14:993143.
doi: 10.3389/fpsyg.2023.993143
COPYRIGHT
© 2023 Ho, Wu and Yen. This is an open-
access article distributed under the terms of
the Creative Commons Attribution License
(CC BY). The use, distribution or reproduction
in other forums is permitted, provided the
original author(s) and the copyright owner(s)
are credited and that the original publication in
this journal is cited, in accordance with
accepted academic practice. No use,
distribution or reproduction is permitted which
does not comply with these terms.
TYPE Original Research
PUBLISHED 06 March 2023
DOI 10.3389/fpsyg.2023.993143
99
Ho et al. 10.3389/fpsyg.2023.993143
Frontiers in Psychology 02 frontiersin.org
signicantly impacts individuals and organizations. Workplace stress
causes a variety of ailments, including cardiovascular and metabolic
disorders, psychological issues, musculoskeletal discomfort,
reproductive issues, and occupational injuries, and also leads to a poor
quality of life (Mohamed etal., 2022). ese health issues are related
to increased absenteeism and presenteeism, as well as decreased
motivation, contentment, and commitment. ese can produce
increases in employee turnover and a desire to resign, resulting in low
business productivity and increased medical, healthcare, and social
welfare expenditures (Asplund etal., 2022; Mohamed etal., 2022;
Sznajder etal., 2022).
Manufacturing is not exempt from stressful work environments.
Workers in the manufacturing industry become stressed as a result of
high job expectations, lengthy and irregular working hours, and tough
work shi patterns in order to reach production objectives and
maintain customer satisfaction. Constant work stress and pressure
result in both physical and mental exhaustion, a lack of work-life
balance, and decreased employee productivity (Bhui et al., 2016;
Bolliger etal., 2022; Kim and Jung, 2022). Hopelessness, not feeling
useful, and feeling depressed in the work environment are considered
factors associated with symptoms of work-related stress among factory
workers (Sznajder etal., 2022), highlighting the need for interventions
to alleviate poor mental health symptoms among workers in high-
pressure occupational environments.
Nature-based interventions have been studied and are considered
eective strategies for alleviating stress and mental health illnesses
(Picton etal., 2020; Coventry etal., 2021). Nature-based interventions
provide individuals with an opportunity to explore their relationship
with nature in terms of connecting to and being impacted by the
natural environment to reduce negative mental health issues (Hartig
etal., 2014; Owens and Bunce, 2022). However, infusing the natural
environment in the workplace is challenging due to urbanization, and
people who live and work in urban areas have very limited
opportunities to connect with nature. A scarcity of research has been
undertaken to implement nature-based interventions and build a
natural environment in the factory workplace.
Virtual reality (VR) is becoming an increasingly popular
technology, and a growing body of research has demonstrated the
eect of using VR as a tool to enable engagement with natural
environments (Li et al., 2021; Adhyaru and Kemp, 2022;
Spangenberger etal., 2022). Several nature videos and applications can
also beeasily accessed and applied as VR technology (Adhyaru and
Kemp, 2022; Calogiuri et al., 2022). Implementing a natural
environment using VR is a novel approach and likely to produce
psycho-physiological benets by bringing nature into an indoor
environment (Browning etal., 2019). A previous evidence-based study
revealed that using VR natural experiences had positive impacts on
psychological stress in terms of mood, anxiety, perceived stress, and
physiological stress such as the heart rate (HR) (Adhyaru and Kemp,
2022). However, few investigations have been conducted into the
impacts of VR natural experiences on biofeedback and physiological
stress. A more in-depth discussion and evidence are required of the
physiological changes such as the autonomic nervous system (ANS)
and blood pressure (BP) measurements through VR natural
experiences (Lüddecke and Felnhofer, 2022). Moreover, research
touched on both psychological and physiological stress-related
outcome is scarce. VR natural experiences can beconsidered as a
simulation-based intervention contributing to mental-state attribution
through the simulation of perception. According to the simulation
theory, activity in sensory cortex that resembles the perception of
external stimuli can be elicited from other parts of the brain.
Particularly from a simulation-based intervention, imagining, hearing,
or feeling something is essentially the same as actually seeing, hearing,
or feeling it (Hesslow, 2012). erefore, VR natural experiences
intervention which brought a natural environment into a workplace
has a great potential and contribution to psychological and
physiological stress improvement. However, research on utilizing VR
natural experience on alleviating occupational stress are limited. More
empirical studies on investigating the eect of VR natural experience
on occupational stress are warranted. us, the main purpose of this
study was to explore the eects of VR natural experiences on furniture
factory employees’ stress. Using an innovative intervention of VR
natural experiences during their break time, the factory workers in the
experimental group were expected to show improvements in their
psychological and physiological stress compared to the comparison
group. Psychological stress-related outcomes included distress,
depression, anxiety, somatization, positive and negative aects, and
perceived stress. Physiological stress-related outcomes included BP
and HR variability (HRV).
2. Materials and methods
2.1. Study design
is was a single-blinded, two-armed non-randomized, quasi-
experimental study conducted from July to December 2021.
Participants were recruited from two furniture factories by
convenience sampling in southern Taiwan. e supervisors of the
two factories were contacted by the principal investigator, and the
oral consent was obtained to invite eligible workers in the factories.
en, a researcher explained the aim and procedure of the study to
all workers. All workers were required to sign an informed consent
form before data collection and the intervention. e workers in the
two factories were either assigned to an experimental group (VR
group) and a comparison group by drawing. e minimal sample
size was 34 which was calculated by medium eect sizes via
G*power soware (Faul et al., 2007). Each factory recruited
21 participants who were either in the same experimental or
comparison group. Participants were not aware of the other group.
Ethical approval for this study was obtained from the Taiwan
Medical University-Joint Institutional Review Board (N202103114).
is study was conducted in accordance with the principles of the
Declaration of Helsinki.
2.2. Participants
Participants were factory workers who had break time in the
aernoon. e inclusion criteria were participants (1) aged
20–60 years, (2) who worked on the production line, (3) who had no
visual or hearing impairment, and (4) who had no serious health
problems, mental illness, or disability that might inuence the
experiment and outcomes. e exclusion criteria were participants (1)
who had gone to a natural environment for recreation in the past year,
(2) who went to parks or green spaces weekly, (3) who had experiences
in using any VR devices in the past year, and (4) who experienced
serious VR sickness. e study ow is illustrated in Figure1.
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2.3. The intervention
e intervention was conducted once a week for 12 weeks. To not
interrupt the working time, the intervention in the experimental VR
group was conducted during workers’ break time. Five participants
with the same break time schedule were grouped together. e group
received the VR intervention in a clean conference room at the same
time. e conference room was free of interference from any external
visual or auditory stimulation. Participants in the experimental group
were required to sit in a chair and wear a VR headset (Oculus Quest
2, META, UnitedStates) to watch 360° videos for 30 min (Figure2).
Based on the coronavirus disease 2019 (COVID-19) policy at that
time, participants were also required to wear a face mask in
indoor environments.
Nature-based VR videos were pre-recorded in a 360° format,
including such areas as parks, hiking trails, forest paths, and bikeways
(Supplementary Figures S1, S2). All videos were recorded on a sunny
day in the aernoon. A dierent 30 min nature-based video was
played in the VR headset every week. During the session, participants
could freely move the direction of their head to watch the video from
various angles. Participants were asked not to talk to each other during
the session. A trained college student supervised every session. When
using the VR headset, if a participant felt a little uncomfortable, they
were told to temporarily close their eyes and then open their eyes
FIGURE1
Flow diagram detailing the progress of enrolment to analysis.
FIGURE2
Photo of the virtual reality (VR) natural experience intervention.
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again. If the uncomfortable sensation continued, they were told to stop
the session. e comparison group received no interventions for
12 weeks. Participants in the comparison group were free to do any
activities of their choosing during their aernoon break time.
2.4. Measures
Measurements were conducted in the conference room once
before and once aer the 12 week intervention by a trained college
student. Stress-related outcomes were measured by self-reported
questionnaires, a sphygmomanometer, and an HRV analyzer.
Participants’ background information was collected in self-reported,
structured questionnaires, including age, gender, education level,
marital status, main job content in the factory, alcohol use, smoking,
and chronic diseases.
Psychological measures. e Four-Dimensional Symptom
Questionnaire (4DSQ) measures four common mental health
problems: distress, anxiety, depression, and somatization. In total,
50 items were measured on a ve-point scale. A higher score
indicates worse symptoms. e 4DSQ previously presented good
content validity, criterion-related validity, and construct validity
(Terluin etal., 2016). Cronbach’s α was 0.802 in this study. e
Positive and Negative Aect Scales (PANAS) were used for
measuring participants’ emotions in two dimensions, including
positive and negative aects. In total, 50 items were measured on a
ve-point scale. A higher score indicates a higher perceived aective
status. e PANAS have good reliability and construct validity
(Watson etal., 1988). e Perceived Stress Scale (PSS) was used for
a self-evaluation of stress in the past month. In total, 10 items were
measured on a ve-point scale. A higher score indicates higher
perceived stress. e PSS previously had good reliability, construct
validity, and criterion-related validity (Cohen et al., 1983).
Cronbachs α was 0.903in this study.
Physiological measures. A BP monitor (HEM-7310, OMRON,
Japan) was used to measure participants’ systolic BP (SBP) and
diastolic BP (DBP). e BP monitor was validated European Society
of Hypertension International Protocol. by A handheld
electrocardiogram (ECG) Monitor (8Z11, Wegene Technology,
Taiwan) was used for ECG signal acquisition, storage, and processing
of resting HRV and the ANS with the good validity (Tseng etal.,
2020). Participants were requested to sit still for 5 min to record short-
term HRV. Aer the algorithm, the selective parameters of HRV
included the HR, a standard deviation (SD) of all normal-to-normal
intervals (SDNN), total power (TP, 0–0.5 Hz), low-frequency (LF)
power (0.04–0.15 Hz), high-frequency (HF) power (0.15–0.40 Hz),
and the ratio of LF to HF (LF/HF). Participants with a higher SDNN
and LF/HF were more likely to have better ANS and lower stress,
anxiety, and depression (Malik etal., 1996).
2.5. Statistical analysis
Descriptive analyzes used the frequency and percentage for
categorized variables and the mean and SD of continuous
variables. Chi-square tests were performed to compare
participants’ backgrounds between the experimental and
comparison groups. Cramers V was calculated for effect sizes of
the Chi-squared tests. Independent t-tests were performed to
compare differences in participants’ age and stress-related
outcomes of psychological and physiological measures at the
baseline. Cohen’s d was calculated for effect sizes of the
independent t-tests. The natural logarithms (Ln) of HRV data (TP,
LF, HF, and LF/HF) were calculated for further analyzes. Analyzes
were performed based on intention-to-treat principle. ITT
approach provides unbiased comparisons among the treatment
groups and this technique was done to avoid the effects of
dropout, which the number of participants after group allocation
was included in the final analysis (i.e., VR group N = 20 and
Comparison group N = 20). Generalized estimating equations
(GEEs) were performed to analyze the effect of group, time, and
group-by-time interactions on stress-related outcomes. The GEEs
were adjusted for participants’ age and the score at the baseline.
SPSS 18.0 (SPSS, UnitedStates) was used for all statistical analyzes.
3. Results
3.1. Participants’ backgrounds
Table 1 reveals the participants’ backgrounds. No signicant
dierences were found in gender, smoking behavior, or chronic
diseases between the VR and comparison groups. However,
participants’ age, education levels, marital status, and job content
exhibited signicant dierences between the two groups. erefore,
the signicant continuous variable (age) of participants’ backgrounds
was adjusted for in the subsequent GEE analysis. In total,
18 participants in the VR group and 17 participants in the comparison
group completed the intervention.
3.2. Stress-related outcomes at the
baseline
Table2 demonstrates participants’ stress-related outcomes at the
baseline. Negative aect (p = 0.043) and SBP (p = 0.043) were found to
signicantly dier between the VR and comparison groups. No other
variables of psychological or physiological measures were found to
signicantly dier between the VR and comparison groups.
3.3. Outcomes
Table3 demonstrates the GEE-adjusted model which indicates the
eects of group, time, and group-by-time interactions on stress-related
outcomes, and the model was adjusted for participants’ age and the
outcome score at the baseline. For psychological measures, signicant
group eects (p = 0.021) and group-by-time interactions (p = 0.015)
were found for distress. Signicant group eects (p = 0.039) and
group-by-time interactions (p = 0.042) were also found for anxiety.
Signicant group eects were found for depression (p = 0.005) and
positive aect (p = 0.035). Mean dierences indicated that distress,
depression, anxiety, and positive aect in the VR group improved aer
the intervention compared to the comparison group. In contrast,
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somatization, negative aect, and perceived stress revealed no
signicant eects.
For physiological measures, signicant group eects (p = 0.031)
and group-by-time interactions (p < 0.001) were found for DBP. A
signicant group-by-time interaction (p = 0.007) was found for
SBP. HRV outcomes revealed that SDNN had a signicant group eect
(p = 0.030). Both LF (p = 0.041) and HF (p = 0.028) had signicant
group-by-time interactions. Mean dierences indicated that the
TABLE1 Participants’ backgrounds.
Parameter VR group (N = 20) Comparison group
(N = 20) 𝒙2pV1
n(%) n(%)
Gender Male 7 (36.84%) 12 (60.00%) 2.09 0.148 0.232
Female 12 (63.16%) 8 (40.00%)
Educational level <high school 13 (81.25%) 6 (33.33%) 7.89 0.005 0.482
>college 3 (18.75%) 12 (66.67%)
Marital status Single/divorced 3 (15.79%) 10 (50.00%) 5.13 0.023 0.363
Married 16 (84.21%) 10 (50.00%)
Job content Tail or 5 (26.32%) 5 (25.00%) 8.62 0.013 0.470
Sewing 8 (42.11%) 1 (5.00%)
Others 6 (31.58%) 14 (70.00%)
Alcohol use No 13 (86.67%) 10 (50.00%) 5.12 0.024 0.382
Yes 2 (13.33%) 10 (50.00%)
Smoking No 3 (16.67%) 2 (10.00%) 0.37 0.544 0.098
Yes 15 (83.33%) 18 (90.00%)
Chronic diseases No 14 (73.68%) 17 (85.00%) 0.77 0.382 0.140
Yes 5 (26.32%) 3 (15.00%)
1Cramer’s V for eect size. VR, virtual reality.
TABLE2 Participants’ stress-related outcomes at the baseline.
Variable VR group (N = 20) Comparison group
(N = 20) t p d
Mean (SD) Mean (SD)
Age (years) 55.21 (7.71) 36.10 (11.12) 6.27 <0.001 1.998
Psychological
measures
Distress 23.24 (6.51) 23.05 (4.43) 0.10 0.919 0.033
Depression 8.12 (3.30) 6.70 (1.42) 1.65 0.114 0.559
Anxiety 15.24 (4.52) 14.80 (3.65) 0.32 0.748 0.106
Somatization 25.29 (8.07) 24.10 (5.31) 0.54 0.593 0.175
Positive aect 2.71 (1.06) 2.68 (0.70) 0.09 0.930 0.028
Negative aect 2.26 (0.85) 1.76 (0.64) 2.09 0.043 0.668
Perceived stress 25.63 (4.57) 26.40 (4.84) 0.51 0.614 0.163
Physiological
measures
SBP (mmHg) 132.90 (15.73) 118.63 (16.09) 2.80 0.008 0.897
DBP (mmHg) 80.35 (11.72) 73.05 (10.61) 2.04 0.050 0.653
HR (bpm) 75.20 (10.13) 80.00 (13.73) 1.25 0.220 0.398
SDNN (ms) 39.02 (17.16) 44.75 (19.85) 0.97 0.341 0.309
TP [Ln (ms2)] 6.94 (0.99) 7.32 (0.95) 1.22 0.229 0.392
LF [Ln (ms2)] 5.58 (1.31) 6.06 (0.84) 1.36 0.181 0.439
HF [Ln (ms2)] 4.97 (1.35) 5.46 (1.23) 1.17 0.249 0.376
LF/HF [Ln (ratio)] 0.61 (0.70) 0.61 (0.79) 0.01 0.990 0.004
Cohen’s d for eect size; VR, virtual reality; SD, standard deviation; SBP, systolic blood pressure; DBP, diastolic blood pressure; HR, heart rate; SDNN, standard deviation of all normal-to-
normal intervals; TP, total power (0–0.5 Hz); LF, low-frequency power (0.04–0.15 Hz); HF, high-frequency power (0.15–0.40 Hz); LF/HF, the ratio of low frequency to high frequency.
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comparison group had higher blood pressure aer 12 weeks. e
SDNN, LF, and HF of the VR group had improved aer the
intervention compared to the comparison group. However, HR and
LF/HF exhibited no signicant eects.
4. Discussion
is study applied a VR device to bring the natural environment
to furniture factory workers. VR natural experiences were introduced
in the aernoon break time weekly for 12 weeks. Participants’
psychological stress, including distress, depression, anxiety, and
positive aect, improved aer long-term VR natural experiences.
Participants’ physiological stress, including partial indicators of HRV
and stabilized BP, improved aer long-term exposure to VR natural
experiences. VR natural experiences could potentially ameliorate
factory workers’ stress levels.
is study found that VR natural experiences had positive eects
on psychological stress of factory workers, including distress,
depression, anxiety, and positive aect. ese results are in line with
previous studies and demonstrate the eects of VR natural experiences
on alleviating psychological stress (Li etal., 2021; Calogiuri et al.,
2022; Spangenberger etal., 2022) and that it is a feasible approach
which can beapplied during break time in the workplace, particular
in manufacturing factory settings. However, VR natural experiences
did not have an eect on perceived stress. A possible reason might
be that other social stressors exist, such as job content, family
situations, social dynamics among colleagues, and so on, that were
potentially aecting perceived stress (World Health Organization,
2020). Both the work content and work context need to beassessed;
for example, the work context includes career development, economic
and payment issues, role in the organization, interpersonal
relationships, organizational culture, and work-life balance (Wor ld
Health Organization, 2020; Sanchez-Gomez et al., 2021). Future
studies can consider evaluating other stressors to exclude stressed-out
participants in order to examine the eect of VR natural experiences
on perceived stress.
In addition, this study also found VR natural experiences had
positive impacts on the physiological stress of factory workers,
including the SDNN, LF, and HF. e SDNN is one of the important
indicators of ANS functions which presents overall physiological
stress measured by the HRV (Kim etal., 2018). On the other hand,
participants in the experimental group had stable SBP and DBP aer
the intervention, while participants in the comparison group had
increased SBP and DBP aer 12 weeks. is is a relatively less
explored area, and more biofeedback and physiological measures are
encouraged to bemanaged by VR nature interventions. Our study
adopted precise and accurate physiological measures in assessing
ANS function with an evidence-based evaluation to summarize the
eects of VR natural experiences (Francis etal., 2009; Guo etal.,
2022). Study ndings highlighted that changes in physiological
outcomes can beachieved by applying a VR natural experience
intervention in workplace settings which is central to promoting
occupational health. As mentioned, VR natural experiences as a
simulation-based intervention did contribute to psychological and
physiological stress improvement. is study can bea fundamental
TABLE3 Results of the generalized estimating equation (GEE).
Variable VR group (N = 20) Comparison group
(N = 20)
Group
eect Time eect Group × Time
interaction
MD (95% CI) MD (95% CI) p p p
Physiological measures
Distress 1.77 (0.85, 1.57) 2.07 (0.72, 4.86) 0.021 0.077 0.015
Depression 1.08 (5.17, 1.63) 0.50 (0.51, 1.51) 0.005 0.470 0.062
Anxiety 0.92 (3.66, 1.50) 1.14 (1.70, 3.99) 0.039 0.167 0.042
Somatization 0.85 (2.55, 0.70) 1.71 (1.44, 4.86) 0.340 0.062 0.452
Positive aect 0.22 (1.36, 3.05) 0.24 (0.79, 0.31) 0.035 0.267 0.095
Negative aect 0.19 (0.54, 0.99) 0.21 (0.57, 0.16) 0.518 0.371 0.297
Perceived stress 0.71 (2.40, 0.97) 0.86 (1.27, 2.98) 0.475 0.315 0.116
Physiological measures
SBP (mmHg) 0.88 (5.91, 7.66) 9.73 (0.45, 0.84) 0.357 0.590 0.007
DBP (mmHg) 0.13 (7.65, 7.90) 2.47 (3.18, 16.29) 0.165 0.031 <0.001
HR (bpm) 1.93 (0.70, 5.63) 3.63 (8.69, 15.94) 0.883 0.404 0.393
SDNN (ms) 6.59 (5.98, 2.12) 8.10 (34.22, 18.02) 0.030 0.587 0.184
TP (Ln (ms2)) 0.53 (0.13, 0.92) 0.13 (1.41, 1.15) 0.585 0.011 0.545
LF (Ln (ms2)) 0.70 (0.15, 1.25) 0.13 (1.16, 0.89) 0.461 0.001 0.041
HF (Ln (ms2)) 0.66 (0.03, 1.28) 0.36 (1.74, 1.02) 0.279 0.006 0.028
LF/HF (Ln (ratio)) 0.05 (0.44, 0.53) 0.23 (0.40, 0.86) 0.473 0.534 0.933
e GEE was adjusted for participants’ age and score at the baseline. e statistical signicance level is set at 0.05 and the value of statistical signicance is emphasized in bold. VR, virtual reality;
MD, mean dierences between pre-and post-test scores; CI, condence interval; SBP, systolic blood pressure; DBP, diastolic blood pressure; HR, heart rate; SDNN, standard deviation of all
normal-to-normal intervals; TP, total power (0–0.5 Hz); LF, low-frequency power (0.04–0.15 Hz); HF, high-frequency power (0.15–0.40 Hz); LF/HF, the ratio of low frequency to high frequency.
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work in the component of simulation of perception in the simulation
theory. Future studies and interventions are warranted to investigate
the impacts of the simulation-based intervention on other
components of the simulation theory, namely simulation of behavior
and anticipation (Hesslow, 2012). It is believes that the benets of VR
natural experiences can go beyond the psychological and
physiological stress improvement, for example, the enhancement in
working memory, motor, sensory and cognitive function may
be observed as well. In our study, the VR natural experience
intervention was only implemented during break time at a factory for
30 min per session. us, the frequency and length were reasonable
and feasible, and did not occupy much time during their break.
Wesuggest that employers could provide VR natural experience
headsets in the break space or conference room in the factory so that
factory workers can have options to relieve their tense mood and
improve physiological stress during their break time and have a better
occupational health status.
To our best knowledge, this is the rst study to explore the eects
of natural experiences via VR devices on psychological and
physiological stress for occupational health. However, there were
several limitations. e study design was a clustered RCT, instead of
an RCT. A few variables of participants backgrounds signicantly
diered between the experimental and comparison groups, although
most stress-related outcomes at the baseline did not dier between the
two groups. e diverse population might have inuenced the
interpretation of results. e small sample size and loss of several
participants aer 12 weeks were also a problem. e 360° video might
have been not clear enough compared to the real world. During the
intervention, participants who complained about VR sickness might
have missed several parts of the videos because they closed their eyes
to rest. Finally, the activities of participants in the comparison group
during the break time were not monitored, which might have
generated a bias.
is study has implications for factory employers and occupational
healthcare professionals such as public health nurses and general
practitioners, and informs future studies for developing relevant
interventions. Manufacturing industry employers should pay attention
to employees’ occupational health, especially stress. Planning regular
break time in relaxed and comfortable places is important for
employees’ rest and further work ecacy. VR is an interesting
platform that can provide an opportunity to connect with nature,
activities, and games. Weekly real-world and VR-based natural
experiences are both recommended for stressed workers. However,
when using VR devices, the image resolution of 360° videos is still a
problem that might cause VR sickness that should beovercome by
future technological advances. For future studies, a study design of
RCTs might provide stronger evidence. Increasing the sample size and
decreasing dierences in participants’ backgrounds between groups
are important considerations. e intervention can beconducted
more frequently and longer, for example, two or three times a week for
6 months. Diverse natural environments, such as forests, waterfalls,
and mountains, can be recorded in a 360° format to increase
enjoyment and attraction. Besides the visual and auditory stimulation
from VR, olfactory stimulation could be considered in
future interventions.
VR is an innovative opportunity to bring the natural environment
into an indoor environment. VR natural experiences can provide
similar eects as real-world natural experiences for relaxation. is
study indicated that VR natural experiences had positive eects on
furniture factory workers’ psychological and physiological stress aer
a 12 week intervention. VR natural experiences are recommended to
release stress and promote the occupational health of factory workers
and heavy labors.
Data availability statement
e datasets generated during and analysed during the current
study are available from the corresponding author on reasonable request.
Ethics statement
e studies involving human participants were reviewed and
approved by Taiwan Medical University-Joint Institutional Review
Board (N202103114). e patients/participants provided their written
informed consent to participate in this study.
Author contributions
M-HH: formal analysis and writing—review and editing. M-SW:
resources and data curation. H-YY: formal analysis, conceptualization,
supervision, and writing—review and editing. All authors contributed
to the article and approved the submitted version.
Funding
is work was supported by the Ministry of Science and
Technology, Taiwan under grant (MOST 109-2314-B-038-077-MY3).
Conflict of interest
e authors declare that the research was conducted in the
absence of any commercial or nancial relationships that could
beconstrued as a potential conict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors
and do not necessarily represent those of their aliated organizations,
or those of the publisher, the editors and the reviewers. Any product
that may be evaluated in this article, or claim that may be made by its
manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
e Supplementary material for this article can befound online
at: https://www.frontiersin.org/articles/10.3389/fpsyg.2023.993143/
full#supplementary-material
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