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Implementing the Patient Health Questionnaire Modified for Adolescents to improve screening for depression among adolescents in a Federally Qualified Health Centre

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Background: Depression, which is a serious medical illness, is prevalent worldwide and it negatively impacts the adolescent lifestyle. Adolescent depression is associated with adverse emotional and functional outcomes and suboptimal physical health. Over the last decade, it has been found that approximately 9% of teenagers meet the criteria for depression at any given time, and one in five teenagers have a history of depression during adolescence. Ninety per cent of paediatricians believe that recognition of child and adolescent depression is their responsibility; however, it has been reported that 46% lacked confidence that they could recognise depression. Methods: In this study, adolescents between 12 and 17 years of age were screened during their well-child visits using the Patient Health Questionnaire Modified for Adolescents. A score of 10 or higher warrants a referral to a social worker and psychiatrist. The goals of this quality improvement project were to implement a standardised questionnaire and to improve the screening, diagnosis and treatment of depression in children from 12 to 17 years of age. Results: It was found that the adolescent depression screening rate significantly improved within 6 months of implementing this quality improvement project. The screening rate improved to 50% by mid-cycle (Plan-Do-Study-Act (PDSA) cycle 3) and up to 70% at the end of the 6-month period (PDSA cycle 5). Improvement was noted among all providers, across all age groups, and in both male and female patients by the end of the study period. Conclusion: Standardised screening tests with a scoring system help providers to identify and monitor depression symptoms using a common language, especially in the outpatient clinical setting where the patient may be seen by different providers.
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MansourM, etal. BMJ Open Quality 2020;9:e000751. doi:10.1136/bmjoq-2019-000751
Open access
Implementing the Patient Health
Questionnaire Modied for Adolescents
to improve screening for depression
among adolescents in a Federally
Qualied Health Centre
Mohamed Mansour ,1 Dharshana Krishnaprasadh,1,2 Janice Lichtenberger,1
Jonathan Teitelbaum1
To cite: MansourM,
KrishnaprasadhD,
LichtenbergerJ, etal.
Implementing the Patient
Health Questionnaire Modied
for Adolescents to improve
screening for depression
among adolescents in a
Federally Qualied Health
Centre. BMJ Open Quality
2020;9:e000751. doi:10.1136/
bmjoq-2019-000751
Received 16 June 2019
Revised 27 August 2020
Accepted 18 September 2020
1Department of Pediatrics,
Monmouth Medical Center, Long
Branch, New Jersey, USA
2Beaumont Health, Royal Oak,
Michigan, USA
Correspondence to
Dr Mohamed Mansour;
mmansour. md@ outlook. com
Quality improvement programme
© Author(s) (or their
employer(s)) 2020. Re- use
permitted under CC BY- NC. No
commercial re- use. See rights
and permissions. Published by
BMJ.
ABSTRACT
Background Depression, which is a serious medical
illness, is prevalent worldwide and it negatively impacts
the adolescent lifestyle. Adolescent depression is
associated with adverse emotional and functional
outcomes and suboptimal physical health. Over the
last decade, it has been found that approximately 9%
of teenagers meet the criteria for depression at any
given time, and one in ve teenagers have a history
of depression during adolescence. Ninety per cent of
paediatricians believe that recognition of child and
adolescent depression is their responsibility; however, it
has been reported that 46% lacked condence that they
could recognise depression.
Methods In this study, adolescents between 12 and
17 years of age were screened during their well- child
visits using the Patient Health Questionnaire Modied for
Adolescents. A score of 10 or higher warrants a referral to
a social worker and psychiatrist. The goals of this quality
improvement project were to implement a standardised
questionnaire and to improve the screening, diagnosis and
treatment of depression in children from 12 to 17 years of
age.
Results It was found that the adolescent depression
screening rate signicantly improved within 6 months
of implementing this quality improvement project. The
screening rate improved to 50% by mid- cycle (Plan- Do-
Study- Act (PDSA) cycle 3) and up to 70% at the end of the
6- month period (PDSA cycle 5). Improvement was noted
among all providers, across all age groups, and in both
male and female patients by the end of the study period.
Conclusion Standardised screening tests with a scoring
system help providers to identify and monitor depression
symptoms using a common language, especially in the
outpatient clinical setting where the patient may be seen
by different providers.
BACKGROUND
Depression is a serious medical illness that is
prevalent worldwide, and it negatively impacts
the adolescent lifestyle. Major depressive
disorder is defined as depressed mood (eg,
feels sad, empty or hopeless) or loss of interest
that is associated with at least four of the
nine other symptoms that reflect a change in
functioning, such as problems with appetite,
energy, concentration, disturbed sleep–wake
cycles, and self- image that last for a period of
2 weeks or more.1 Adolescent depression is
associated with adverse emotional and func-
tional outcomes and suboptimal physical
health.
According to studies from the last decade,
approximately 9% of teenagers meet the
criteria for depression at any given time, and
one in five teenagers have a history of depres-
sion during adolescence.2–6 Another study
conducted in 2006 showed that the lifetime
prevalence of depression in the adolescent
population was 13%.7 Changes in the social
environment and puberty, along with cogni-
tive maturation, may lead to the increased
prevalence of depression among teenagers.8
In 2009, the US Preventive Services Task
Force (USPSTF) noted that screening tools
for depression can help to identify depres-
sion.9 Such screening tools include the
Patient Health Questionnaire Modified for
Adolescents (PHQ- A) and the primary care
version of the Beck Depression Inventory
(BDI). Adolescent depression may be undi-
agnosed if appropriate screening at periodic
intervals is not performed by the primary care
doctor/paediatrician. The Bright Futures/
American Academy of Paediatrics recom-
mends yearly screening of child and adoles-
cent patients aged 12–18 years for emotional
and behavioural problems.10
Another study showed that implementing
PHQ- A in a paediatric primary care setting
led to increased diagnosis of depression
among adolescents.11 Major depressive
disorder has short- term effects that include
poor school performance, suboptimal growth
2MansourM, etal. BMJ Open Quality 2020;9:e000751. doi:10.1136/bmjoq-2019-000751
Open access
and development, behavioural changes and impairment
in normal interaction with family members and peers.
Some of the long- term consequences include poor educa-
tion rates that lead to low socioeconomic status, aggres-
sive behaviour, the diagnosis of depression and anxiety in
adulthood, increased risk for self- injurious behaviour and
suicidal ideation.
A study conducted in 2001 in New Hampshire, USA,
reported that 90% of paediatricians believe that recogni-
tion of child and adolescent depression is their respon-
sibility; however, 46% lacked confidence that they could
recognise depression.12 Therefore, the goal of this quality
improvement (QI) project was to implement a stan-
dardised questionnaire to improve screening for depres-
sion by 60% in adolescents from 12 to 17 years of age.
MATERIALS AND METHODS
The study was formally reviewed and deemed exempt
from further review according to the Institutional
Review Board at Monmouth Medical Center. This study
was conducted in a Federally Qualified Health Centre
wherein more than 50% of the patients have Medicaid as
their insurance provider and over 20% pay out of pocket.
The study aimed to include all adolescents between 12
and 17 years of age who presented for a well- child visit.
Children younger than 12 years old and adolescents
coming for a visit due to illness were not included as
screening for depression is not recommended in that age
group. Patients aged 18 years or older were not included
in the study as they are typically seen by internal medi-
cine residents. Additionally, adolescents coming for a visit
due to illness were not included. The PHQ- A was used as
the depression screening tool. A score of 10 or higher13
would warrant a referral to a social worker and psychia-
trist. PHQ- A has a sensitivity of 73% for a positive test and
specificity of 94%.14
Adolescent well visit appointments from age 12 to
17 years who presented to the FQHC were retrospec-
tively analysed via electronic medical record. The list of
patients was generated by final diagnosis code Z00.129 in
the International Classification of Diseases, Tenth Revi-
sion, Clinical Modification (ICD-10- CM). All patients
were usually seen by a resident physician and precepted
by an attending physician. Demographic data of patients
including age, gender, race and language spoken were
studied. The baseline data regarding the percentage of
patients screened and percentage of referrals to mental
health services for a well visit 1 month prior to the imple-
mentation phase (Plan- Do- Study- Act (PDSA) cycle) of the
study were obtained.
A fishbone (Ishikawa) diagram (figure 1) of the
possible challenges to the implementation of the PHQ- A
was created. Five PDSA cycles were performed and the
project leaders (MM and DK) met to determine strategies
to improve the screening rates. The primary outcome
of this study was to implement the PHQ- A to improve
screening for depression among adolescents in a Feder-
ally Qualified Health Centre. Observing the rate of
referral to mental health specialists and a social worker
was the secondary outcome of this QI project.
In this QI project, we used the PHQ- A as it is readily
available, easy to download in multiple languages and
free of cost. As the PHQ- A also has fewer questions than
the BDI, it easier for the patients to answer and is less
time- consuming for the medical staff.
During our study, we followed the Institute of Health-
care Improvement’s model for QI projects; that is, the
PDSA cycles.
RESULTS
The adolescent depression screening rate significantly
improved within 6 months of implementing this QI
project. After the intervention, we reviewed a total of 109
well- child visit charts of the adolescents (12–17 years)
between February 2017 and June 2017 through five
PDSA cycles. The demographics for the study population
(table 1) showed that the mean age was 14.74±1.65 years
(range 12–17 years), and that it included 59 boys and 50
girls. Fifty per cent of the adolescent females who present
to our clinic for well visit were screened for depression;
Figure 1 Fishbone (Ishikawa) diagram depicting challenges to the implementation of the Patient Health Questionnaire Modied
for Adolescents.
3
MansourM, etal. BMJ Open Quality 2020;9:e000751. doi:10.1136/bmjoq-2019-000751
Open access
53% of the males in this population were screened for
depression. The ethnicity of the population was varied,
including adolescents who were African–American (8),
Native American (1), Asian (1), Caucasian (17), Hispanic
(77) and other (5).
The baseline data showed that no standardised
screening tool was used and the referral rate to mental
health services was 0% as the symptoms of depression
were not identified.
By the end of the study period, screening rate had
increased to 70% (figure 2). The overall rate of referral
to mental health services had also increased to 5.8%
(figure 2). The patients who scored 10 or higher on the
questionnaire had a 100% referral rate to social and
mental health services.
PDSA cycle 1
An email was sent to the residents with the instructions for
using the screening tool. The method of calculating the
scores, and the cut- off values for referral, were outlined.
After this cycle, screening rate was 31%.
Plan: Start educating residents on using depression
screening tool using email and assess the response. Elec-
tronic communication via electronic mail (email) was
noted to be effective with all residency/research- related
communication in the past with other studies in our
institute. Residents were also able to refer to the existing
email if needed.
Do: Sending emails to residents with instructions on
how to use the depression screening questionnaire.
Study: Depression screening rate increased from 0% to
31%. Ten patients out of the 32 adolescent patients who
presented for a well visit were screened for depression
using the PHQ- A tool.
Act: It was clear that we were moving in the right direc-
tion, however, new interventions were needed, and we
started PDSA 2.
PDSA cycle 2
We determined that lack of resident education about
the problem was a possible cause of poor adherence. To
improve this, Microsoft PowerPoint was used to create
educational lectures regarding depression screening,
and the need for implementing the PHQ- A was high-
lighted. Literature supporting the use of a standardised
tool was reviewed during the presentation. In addition,
after analysing the data of cycle 1, it was found that some
patients could not be referred to psychiatry due to lack
of insurance. With the assistance of a social worker,
resources were identified and information about psychi-
atrists who accept uninsured patients was included in the
Table 1 Demographics of the study population
Demographics
Age (in years)
Mean 14.74±1.65
Median 15
Range 11–17
Sex
Male 59
Female 50
Race
African–American 8 (7.4%)
Hispanic 77 (70.6%)
White 17 (15.6%)
Other 7 (6.4%)
Language
English 27 (24.8%)
Spanish 66 (60.5%)
Portuguese 13 (12%)
Other 3 (2.7%)
Figure 2 Screening and referrals for depression in adolescents.
4MansourM, etal. BMJ Open Quality 2020;9:e000751. doi:10.1136/bmjoq-2019-000751
Open access
educational lectures. After this cycle, screening rate was
81%.
Plan: Increase screening by increasing residents’ educa-
tion not only about how to use the questionnaire, but also
about why we use it. Physicians and residents are analyt-
ical thinkers at baseline. Education regarding the use of
questionnaire, the importance of screening for process,
lack of adequate screening added to value to the impor-
tance of tackling the inadequate screening process. Also,
it was noticed that some patients were not able to see a
psychiatrist because of lack of insurance.
Do: PowerPoint presentation discussing prevalence of
depression and the social and emotional impact it has on
children and that residents are in a position to help in
early diagnosis of depression among adolescents by using
the depression screening questionnaire. Thirteen out of
the 16 paediatric residents attended this lecture. We also
worked on helping patients who did not have insurance
by connecting them with the social worker and providing
information about psychiatrists who accept uninsured
patients.
Study: Screening rate increased from 31% to 81%.
During the second PDSA cycle, 13 out of the 16 adoles-
cent patients were screened for depression during their
well visit.
Act: Although screening and referral rates were
increasing, we noticed that the depression question-
naire was available in the clinic only in English and
Spanish. We worked on addressing this problem in
PDSA 3.
PDSA cycle 3
A meeting was conducted, and residents were asked to
express their opinions and concerns regarding the use
of the PHQ- A screening tool. Initially, copies of the
questionnaire were given only in English and Spanish;
however, there were concerns that some patients spoke
Portuguese, Vietnamese or Creole, which prevented the
use of the screening tool. As a result, copies of the ques-
tionnaire were provided in all these languages, and a link
to a website where the questionnaire can be downloaded
was given to each resident physician. After this cycle,
screening rate was 50%.
Plan: Feedback from residents regarding their concerns
and opinion helped us improve our subsequent PDSA
cycles as we started providing depression screening ques-
tionnaires in multiple languages.
Do: Print screening questionnaires in English, Spanish
and Portuguese, as well as provide the web address to
download the questionnaire in more languages if needed.
Study: Screening rate dropped from 81% to 50%.
Nine of 18 adolescents were screened for depression.
We found that a specific group of patients who were
self- pay was missed and not screened during the well
visit.
Act: Identify the patients that needed to be screened
through PDSA 4.
PDSA cycle 4
A significant number of patients were missed, we printed
the list of patients that each resident has every day and
manually marked the patients who are registered for a
well- child visit who are 12–17 years old. This served as
a reminder to perform the screening. After this cycle,
screening rate was 65%.
Plan: Highlighting patients between 12 and 17 years
of age on the printed patient schedule for each resident
daily was a visual reminder for adolescents to be screened
for depression. Identify patients that need to be screened
to increase screening rate.
Do: Print the patient list for each resident and mark the
patients 12–17 years of age who have a well visit that day.
Study: Screening rate increased from 50% to 65%.
Seventeen out of the 26 adolescent patients were screened
for depression.
Act: Rates were improving, and we were looking at
keeping the screening going and we started the last cycle
PDSA 5.
PDSA cycle 5
The results of the previous four cycles were shared with
other residents via email to provide positive feedback and
reinforcement and to promote the idea that providing
quality patient care involves team work and that the
contribution of every member of the team is necessary.
After this cycle, screening rate was 70%.
Plan: Continue depression screening practices by
showing the residents the impact of the screening
tool they use. We thought that sharing the screening
percentage (including the graph) which showed the
incremental improvement may aid to motivate the resi-
dents to continue their screening during well visits.
Do: Share results of the previous four PDSA cycles
and showing the increased rate of diagnosis of depres-
sion cases that could have been missed without using the
screening tool. Using standardised depression screening
tools help identify patients with depressive symptoms that
could have otherwise been missed.
Study: Screening rate increased to 70%. Twelve of 17
patients were screened for depression during their well-
child visit.
Act: Residents were encouraged to continue using the
screening tool even after the conclusion of the QI study.
DISCUSSION
Our baseline data showed that no systematic screening
tool was used for screening adolescents for depression.
The USPSTF makes recommendations about the effec-
tiveness of specific preventive care services for patients
without related signs or symptoms of depression.14 Many
of these patients are at higher risk for depression as they
have additional stressors, including low socioeconomic
status, recent immigration, limited English proficiency,
lack of access to subspecialty care due to lack of insur-
ance, and sometimes one or both parents are in their
5
MansourM, etal. BMJ Open Quality 2020;9:e000751. doi:10.1136/bmjoq-2019-000751
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home county and the patient is taken care of by another
family member.
The National Institute of Mental Health reports that,
in 2016, the prevalence of major depressive episode
ranged from 19.4% among adolescent females to 6.4%
in males,15 which is close to the data in our study that
showed that the percentage of adolescents who scored
high on the PHQ- A ranged from 5% to 12%. In another
study done from January 2017 to August 2018 including
2107 adolescents, the percentage of positive screening
was 11%.16
We found improvement in the screening rates and
documentation rates along with an increase in the rate
of referral to mental health services. The screening rate
improved to 50% by mid- cycle (PDSA cycle 3), and up
to 70% at the end of the 5- month period (PDSA cycle
5). There was an initial good spike in screening to 81%
after two PDSA cycles. However, this dropped by 31%,
and screening rate was half of the entire adolescent popu-
lation mid- cycle. The initial spike is likely to have been
due to the Hawthorne effect, and the initial increase in
screening was due to the residents’ excitement about
the project that gradually waned over time. Residents
needed to be re- engaged through monthly meetings, and
although the screening rates have increased, we were not
able to reach 80% again. A similar study done in a rural
clinic in South Carolina showed a compliance rate of
88% for administering depression screen in the adoles-
cent population.11 A study done in Michigan showed
screening rate of 82%. Researchers were able to integrate
the depression screening questionnaire into the clinic’s
EHR which made the screening process easier and also
served as a reminder for the physicians.17 We recognised
that having the questionnaire built into the visit’s template
in the EHR would increase the screening rate. However,
after consulting IT department, we were not able to have
the questionnaire added to the clinic’s EHR. Another
contributing factor for the decline in screening rates was
availability of the PHQ- A only in English and Spanish.
Residents were educated regarding online access for
other languages and were provided with the website link
which resulted in better compliance.
Other potential challenges were identified and repre-
sented in the fishbone diagram. One of the challenges
was to arrange mental health services for those who score
high on the screening test but have no insurance. Prior
studies on screening adolescent for depression did not
mention this particular challenge wherein a subset of
patients without insurance had difficulty to obtain mental
healthcare services/follow- up. Fortunately, in our FQHC
with the help of the clinic’s physicians and social worker,
we were able to arrange such services, even for patients
with other mental health diseases.
This study shows that screening in primary care can
help physicians to identify patients. Initiation of appro-
priate mental health treatment may in turn improve
the quality of life of patients. This was evident from a
Cochrane review done in the UK which showed significant
improvement of short- term and long- term outcomes in
adults with depression.18
Limitations
One of the limitations of this study is the use of a single
centre study with a relatively small sample size.
Another limitation of this study was our inability to add
a reminder prompt into the well- child visit template. As
a result, the screening was missed during some of the
visits in the teenage population. A gap in the systematic
follow- up of the patients, after referral to psychiatric facil-
ities, was noted. Although the follow- up may have been
performed by the clinic’s physicians, reviewing it was not
in the scope of the study. Referral rates to psychiatry are
not equivalent to cases diagnosed with depression since
some patients would have had a false- positive screening
test. However, a limitation of this study is the lack of
follow- up with psychiatry offices to see the percentage of
patients diagnosed with depression in relation to the total
number of patients screened.
Future initiatives
Currently, depression screening for adolescents has been
included as a part of the well- child visits in the clinic.
The screening process is under direct supervision of
the attending physician supervising the residents who
ensures administration of the questionnaire as well as
training new residents on using it. There will be another
PDSA cycle conducted 12 months later to assess ongoing
compliance and to examine the rates of admission to the
hospital’s inpatient psychiatric unit with depressive symp-
toms before and after implementation of the screening
using the PHQ- A. We will look at the admission rates for
the patients who received their routine medical care at
our clinic.
We also hope to be able to do a multicentre study
involving multiple outpatient clinics.
Conclusion
Improvement in screening for depression among adoles-
cents using a standardised and validated screening tool
led to improvement in the rate of referral to mental health
services. Standardised screening tests with a scoring
system help providers to identify and monitor depression
symptoms using a common language, especially in the
outpatient clinical setting where the patient may be seen
by different providers. This study also showed that, during
the preparation of QI projects, potential challenges can
lead to solutions that can then benefit the study popula-
tion even after the project is over. In this QI project, we
were able to arrange mental health services for uninsured
or underinsured patients and these patients continued
to use these services for other mental health problems
that were not related to depression. This project is an
example of a combination of child advocacy, practice-
based learning and system- based practice.
Acknowledgements The authors acknowledge the IT team at Monmouth Family
Health Center for their support in this project.
6MansourM, etal. BMJ Open Quality 2020;9:e000751. doi:10.1136/bmjoq-2019-000751
Open access
Contributors MM designed the study, did substantial work in the analysis
and interpretation of the data, revised the work, approved the nal version to
be published and agreed to be accountable for all aspects of the work. DK did
substantial work in the analysis and interpretation of the data, revised the work,
approved the nal version to be published and agreed to be accountable for all
aspects of the work. JL designed the study, did substantial work in the analysis
and interpretation of the data, revised the work, approved the nal version to
be published and agreed to be accountable for all aspects of the work. JT did
substantial work in the analysis and interpretation of the data, revised the work,
approved the nal version to be published and agreed to be accountable for all
aspects of the work.
Funding The authors have not declared a specic grant for this research from any
funding agency in the public, commercial or not- for- prot sectors.
Competing interests None declared.
Patient and public involvement Patients and/or the public were not involved in
the design, or conduct, or reporting or dissemination plans of this research.
Patient consent for publication Not required.
Provenance and peer review Not commissioned; externally peer reviewed.
Data availability statement All data relevant to this study are included in the
article.
Open access This is an open access article distributed in accordance with the
Creative Commons Attribution Non Commercial (CC BY- NC 4.0) license, which
permits others to distribute, remix, adapt, build upon this work non- commercially,
and license their derivative works on different terms, provided the original work is
properly cited, appropriate credit is given, any changes made indicated, and the use
is non- commercial. See:http:// creativecommons. org/ licenses/ by- nc/ 4. 0/.
ORCID iD
MohamedMansour http:// orcid. org/ 0000- 0001- 8960- 6882
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2012;10:CD006525.
... A further n = 2 articles reported on studies conducted across secondary mental health care settings and the community [65,77]. There were n = 12 articles reporting on studies conducted in primary care settings [42,43,45,49,53,57,64,67,71,99,100,107,109], and n = 2 articles reported on studies conducted across primary care and community settings [48,55]. N = 2 articles reported on studies took place solely in the community [78,108] and n = 1 took place across multiple settings, but did not specify details [83]. ...
... One study reported that 80% [n = 53] of parents found PCOM use provided added value over standard consultations [82]. Advantages included: improving communication, engagement, and decision-making with patients and families [Q3] [53,55,56,61,69,79,80,91,100,103,106,108], enhancing quality of care and assessment [44,46,53,56,61,62,69,70,79,80,82,85,100,105,108], identifying concerns that would have remained unidentified in standard consultations [45,46,49,53,54,56,64,79,82,100,103,105,106], and increased referral rates and access to other services and treatment [45,46,48,53,56,64,103]. ...
... One study reported that 80% [n = 53] of parents found PCOM use provided added value over standard consultations [82]. Advantages included: improving communication, engagement, and decision-making with patients and families [Q3] [53,55,56,61,69,79,80,91,100,103,106,108], enhancing quality of care and assessment [44,46,53,56,61,62,69,70,79,80,82,85,100,105,108], identifying concerns that would have remained unidentified in standard consultations [45,46,49,53,54,56,64,79,82,100,103,105,106], and increased referral rates and access to other services and treatment [45,46,48,53,56,64,103]. ...
Conference Paper
Objectives Person-centred outcome measures are commonly used in adult healthcare to measure and improve health outcomes and to support service planning and commissioning [1], but less is known about their use in children’s services [2]. The aim of this systematic review is to identify and synthesise evidence of the determinants, strategies, and mechanisms that influence the implementation of person-centred outcome measures into paediatric healthcare practice. Methods The review (Prospero CRD 42022330013) was conducted and reported in accordance with PRISMA guidelines. Studies were included if the setting was a children’s (0–18 years old) healthcare service, investigating the implementation or use of an outcome measure or screening tool (measure) in healthcare practice, and reported outcomes relating to use of a measure. Data were tabulated and thematically analysed through deductive coding to the constructs of the adapted-Consolidated Framework for Implementation Research. A narrative synthesis was conducted. Results 69 studies met inclusion criteria for the review, conducted across primary (n=14), secondary (n=13), tertiary (n=37), and community (n=8) healthcare settings, including both child self-report (n=46) and parent-proxy (n=47) measures. The most frequently reported barriers to implementation included lack of staff knowledge about how the measure may improve care and outcomes; the complexity of using and implementing the measure; and a lack of resources including funding and staff to support sustained use. The most frequently reported facilitators of implementation and sustained use include educating and training staff and families on: how to implement and use the measure, the advantages of using measures over current practice, and the benefit their use has on patient care and outcomes. Addressing logistical and resource barriers, including time, staffing, and provision of funding and resources such as office supplies, was particularly important for facilitating implementation and sustained use in lower-middle income settings. Conclusion Multiple strategies targeting different mechanisms are needed to address the determinants influencing implementation to successfully embed person-centred outcome measures into routine practice. Key strategies to address barriers to implementation include educating professionals, children and families on using measures and the benefit they have on patient care, and addressing logistical and resource barriers. A combination of the strategies identified can be used to support the development of context-specific implementation plans. This will enable the implementation of person-centred outcome measures into routine paediatric healthcare to empower health and social care providers to better identify and improve child-centred outcomes. References • Øvretveit J, Zubkoff L, Nelson EC, Frampton S, Knudsen JL, Zimlichman E. Using patient-reported outcome measurement to improve patient care. International Journal for Quality in Health Care. 2017; 29 (6):874–9. • Huang I-C, Revicki DA, Schwartz CE. Measuring pediatric patient-reported outcomes: good progress but a long way to go. Quality of Life Research. 2014; 23 (3):747–50.
... A further n = 2 articles reported on studies conducted across secondary mental health care settings and the community [65,77]. There were n = 12 articles reporting on studies conducted in primary care settings [42,43,45,49,53,57,64,67,71,99,100,107,109], and n = 2 articles reported on studies conducted across primary care and community settings [48,55]. N = 2 articles reported on studies took place solely in the community [78,108] and n = 1 took place across multiple settings, but did not specify details [83]. ...
... One study reported that 80% [n = 53] of parents found PCOM use provided added value over standard consultations [82]. Advantages included: improving communication, engagement, and decision-making with patients and families [Q3] [53,55,56,61,69,79,80,91,100,103,106,108], enhancing quality of care and assessment [44,46,53,56,61,62,69,70,79,80,82,85,100,105,108], identifying concerns that would have remained unidentified in standard consultations [45,46,49,53,54,56,64,79,82,100,103,105,106], and increased referral rates and access to other services and treatment [45,46,48,53,56,64,103]. ...
... One study reported that 80% [n = 53] of parents found PCOM use provided added value over standard consultations [82]. Advantages included: improving communication, engagement, and decision-making with patients and families [Q3] [53,55,56,61,69,79,80,91,100,103,106,108], enhancing quality of care and assessment [44,46,53,56,61,62,69,70,79,80,82,85,100,105,108], identifying concerns that would have remained unidentified in standard consultations [45,46,49,53,54,56,64,79,82,100,103,105,106], and increased referral rates and access to other services and treatment [45,46,48,53,56,64,103]. ...
Article
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Background: Person-centred outcome measures (PCOMs) are commonly used in routine adult healthcare to measure and improve outcomes, but less attention has been paid to PCOMs in children's services. The aim of this systematic review is to identify and synthesise existing evidence of the determinants, strategies, and mechanisms that influence the implementation of PCOMs into paediatric healthcare practice. Methods: The review was conducted and reported in accordance with PRISMA guidelines. Databased searched included CINAHL, Embase, Medline, and PsycInfo. Google scholar was also searched for grey literature on 25th March 2022. Studies were included if the setting was a children's healthcare service, investigating the implementation or use of an outcome measure or screening tool in healthcare practice, and reported outcomes relating to use of a measure. Data were tabulated and thematically analysed through deductive coding to the constructs of the adapted-Consolidated Framework for Implementation Research (CFIR). Results were presented as a narrative synthesis, and a logic model developed. Results: We retained 69 studies, conducted across primary (n = 14), secondary (n = 13), tertiary (n = 37), and community (n = 8) healthcare settings, including both child self-report (n = 46) and parent-proxy (n = 47) measures. The most frequently reported barriers to measure implementation included staff lack of knowledge about how the measure may improve care and outcomes; the complexity of using and implementing the measure; and a lack of resources to support implementation and its continued use including funding and staff. The most frequently reported facilitators of implementation and continued use include educating and training staff and families on: how to implement and use the measure; the advantages of using PCOMs over current practice; and the benefit their use has on patient care and outcomes. The resulting logic model presents the mechanisms through which strategies can reduce the barriers to implementation and support the use of PCOMs in practice. Conclusions: These findings can be used to support the development of context-specific implementation plans through a combination of existing strategies. This will enable the implementation of PCOMs into routine paediatric healthcare practice to empower settings to better identify and improve child-centred outcomes. Trial registration: Prospero CRD 42022330013.
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Background Adolescents involved in criminal proceedings are significantly more likely to re-offend than a similar population diverted away from criminal justice. Adolescents who use substances and offend are at higher risk of experiencing negative social, psychological and physical problems that often persist into adulthood. There is some evidence that brief interventions combined with appropriate psychoeducation may be effective in reducing adolescent substance use. Methods Prospective two-armed, individually randomized internal pilot randomized controlled trial (RCT) with follow-up at 6 months. Young people across three police forces—Kent, Cornwall and Sefton—arrested in possession of class B or C illicit substances were randomly allocated to receive the ReFrame intervention or business as usual. In total, 102 participants were eligible of whom 76 consented and 73 were followed up at 6 months. Outcomes addressed offending behaviour, frequency of substance use, wellbeing and mental health. The study was conducted between February and December 2022. Results All progression criteria were met, 80% of those eligible consented, 96% adhered to their allocated treatment and 88% were followed up at the primary endpoint. Conclusions The feasibility of conducting the pilot trial was a success and it will now proceed to a definitive RCT.
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Early identification and treatment of depression during adolescence can contribute to healthier outcomes across the lifespan, yet adolescent depression has been underidentified and undertreated. The American Academy of Pediatrics’ (AAP) Guidelines for Adolescent Depression in Primary Care (GLAD-PC) were created to enhance the identification and treatment of adolescent depression. Integrated psychologists in a pediatric primary care setting partnered with providers and clinic staff to implement an adolescent depression screening initiative and transform primary care practice around identification and management. From January 2017 through August 2018, 2107 adolescents between the ages of 11 and 18 were screened using the PHQ-9A. Eleven percent (n = 226) of adolescents had an elevated screen with a score of ≥ 10 and 7% (n = 151) screened positive for suicidal ideation. Identification of depressive symptoms led to increased integrated behavioral health services delivered by psychologists, psychiatrists, and psychology trainees. Psychologists integrated in primary care can support primary care practices to develop service delivery systems aligned with AAP’s GLAD-PC and address the diverse implementation barriers associated with incorporating clinical practice guidelines in real-world settings. Universal screening for adolescent depression and response protocols were successfully implemented in a pediatric primary care clinic under the leadership of psychologists and pediatrician partners.
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Pediatric primary care clinicians have unique opportunities and a growing sense of responsibility to prevent and address mental health and substance abuse problems in the medical home. In this report, the American Academy of Pediatrics proposes competencies requisite for providing mental health and substance abuse services in pediatric primary care settings and recommends steps toward achieving them. Achievement of the competencies proposed in this statement is a goal, not a current expectation. It will require innovations in residency training and continuing medical education, as well as a commitment by the individual clinician to pursue, over time, educational strategies suited to his or her learning style and skill level. System enhancements, such as collaborative relationships with mental health specialists and changes in the financing of mental health care, must precede enhancements in clinical practice. For this reason, the proposed competencies begin with knowledge and skills for systems-based practice. The proposed competencies overlap those of mental health specialists in some areas; for example, they include the knowledge and skills to care for children with attention-deficit/hyperactivity disorder, anxiety, depression, and substance abuse and to recognize psychiatric and social emergencies. In other areas, the competencies reflect the uniqueness of the primary care clinician's role: building resilience in all children; promoting healthy lifestyles; preventing or mitigating mental health and substance abuse problems; identifying risk factors and emerging mental health problems in children and their families; and partnering with families, schools, agencies, and mental health specialists to plan assessment and care. Proposed interpersonal and communication skills reflect the primary care clinician's critical role in overcoming barriers (perceived and/or experienced by children and families) to seeking help for mental health and substance abuse concerns.
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Depression among adolescents is underdiagnosed and associated with significant morbidity and mortality. The American Academy of Pediatrics endorses opportunistic depression screening beginning at age 11, implying that screening should be performed at every visit. The purpose of this quality improvement project was to determine whether a self-administered depression screen would improve the identification of major depressive disorder among adolescents in a pediatric primary care clinic. Introduction of the Patient Health Questionnaire modified for adolescents into a practice with no formal depression screening protocol in place demonstrated an increase in depression diagnosis. Additionally, adolescents presenting for sick visits were more likely to endorse depressive symptoms than those presenting for well visits. These data suggest that administering a patient-administered depression screening tool to adolescents during both well and sick visits will help improve the identification of depression, potentially leading to early diagnosis and improved patient outcomes.
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A two-stage epidemiologic study conducted between 1986 and 1988 in the southeastern United States investigated the frequency of major depressive disorder and dysthymia in 12–14 year olds. In stage one, the Center for Epidemiologic Studies Depression Scale, a life event schedule, and a family cohesion scale were administered to a community sample of 3,283 adolescents. In stage two, 488 mother-child pairs were interviewed utilizing the Schedule for Schizophrenia and Affective Disorders in School Age Children. Although mean Center for Epidemiologic Studies Depression Scale scores were significantly higher in females (25.60) than in males (19.50), prevalence estimates based on a summary of mother and child symptom reports for Diagnostic and Statistical Manual of Mental Disorders, Third Edition, major depressive disorder were similar: 9.04% in males and 8.90% in females. The prevalences of dysthymia were 7.98% in males and 5.00% in females. Previous investigations have reported lower rates and a female preponderance of major depression. Disagreement between mothers and children regarding the presence of symptoms may explain this contradiction. Significant odds ratios were found between major depression and not living with both natural parents (odds ratio (OR) = 3.89), undesirable life events (OR = 1.09), and perceived family cohesion (OR = 0.96). Not living with both natural parents (OR = 14.67) and socioeconomic status (OR = 0.44) were significant correlates of dysthymia. Am J Epidemiol 1992; 135:792–802.
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Description: This article describes the update of the 2009 US Preventive Services Task Force (USPSTF) recommendation on screening for major depressive disorder (MDD) in children and adolescents. Methods: The USPSTF reviewed the evidence on the benefits and harms of screening, accuracy of primary care-feasible screening tests, and benefits and harms of treatment with psychotherapy, medications, and collaborative care models in patients aged 7 to 18 years. Population: This recommendation applies to children and adolescents aged ≤18 years who do not have an MDD diagnosis. Recommendation: The USPSTF recommends screening for MDD in adolescents aged 12 to 18 years. Screening should be implemented with adequate systems in place to ensure accurate diagnosis, effective treatment, and appropriate follow-up (B recommendation). The USPSTF concludes that the current evidence is insufficient to assess the balance of benefits and harms of screening for MDD in children aged ≤11 years (I statement).
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Background: The age, sex, and ethnic distribution of adolescents who commit suicide is significantly different from that of the general population. The present study was designed to examine psychiatric risk factors and the relationship between them and demographic variables.Methods: A case-control, psychologic autopsy study of 120 of 170 consecutive subjects (age, <20 years) who committed suicide and 147 community age-, sex-, and ethnic-matched control subjects who had lived in the Greater New York (NY) area.Results: By using parent informants only, 59% of subjects who committed suicide and 23% of control subjects who met DSM-III criteria for a psychiatric diagnosis, 49% and 26%, respectively, had had symptoms for more than 3 years, and 46% and 29%, respectively, had had previous contact with a mental health professional. Best-estimate rates, based on multiple informants for these parameters, for suicides only, were 91%, 52%, and 46%, respectively. Previous attempts and mood disorder were major risk factors for both sexes; substance and/or alcohol abuse was a risk factor for males only. Mood disorder was more common in females, substance and/or alcohol abuse occurred exclusively in males (62% of 18-to 19-year-old suicides). The prevalence of a psychiatric diagnosis and, in particular, substance and/or alcohol abuse increased with age.Conclusion: A limited range of diagnoses—most commonly a mood disorder alone or in combination with conduct disorder and/or substance abuse—characterizes most suicides among teenagers.
Article
• A two-stage epidemiologic strategy was used to estimate the lifetime prevalence of selected DSM-III—defined psychiatric disorders in a county-wide secondary school population (N = 5596). Screening tests used in the first stage included items based on DSM-III criteria for eating disorders and panic disorder, as well as the Leyton Obsessional Inventory—Child Version and the Beck Depression Inventory. Based on interviews (n = 356) by clinicians in the second stage, the lifetime prevalence of anorexia nervosa was 9.2%; bulimia, 2.5%; panic disorder, 0.6%; obsessive-compulsive disorder, 1.9%; major depression, 4.0%; dysthymic disorder, 4.9%; and generalized anxiety disorder, 3.7%. While rates of mental health service utilization varied greatly by diagnosis, only 41% of students who were assigned both a diagnosis and a rating of impairment had received any kind of clinical attention.