ArticlePDF Available

Evaluating the dissemination and scale-up of two evidence-based parenting interventions to reduce violence against children: study protocol

Authors:

Abstract and Figures

Background Eliminating violence against children is a prominent policy goal, codified in the Sustainable Development Goals, and parenting programs are one approach to preventing and reducing violence. However, we know relatively little about dissemination and scale-up of parenting programs, particularly in low- and middle-income countries (LMICs). The scale-up of two parenting programs, Parenting for Lifelong Health (PLH) for Young Children and PLH for Parents and Teens, developed under Creative Commons licensing and tested in randomized trials, provides a unique opportunity to study their dissemination in 25 LMICs. Methods The Scale-Up of Parenting Evaluation Research (SUPER) study uses a range of methods to study the dissemination of these two programs. The study will examine (1) process and extent of dissemination and scale-up, (2) how the programs are implemented and factors associated with variation in implementation, (3) violence against children and family outcomes before and after program implementation, (4) barriers and facilitators to sustained program delivery, and (5) costs and resources needed for implementation. Primary data collection, focused on three case study projects, will include interviews and focus groups with program facilitators, coordinators, funders, and other stakeholders, and a summary of key organizational characteristics. Program reports and budgets will be reviewed as part of relevant contextual information. Secondary data analysis of routine data collected within ongoing implementation and existing research studies will explore family enrolment and attendance, as well as family reports of parenting practices, violence against children, child behavior, and child and caregiver wellbeing before and after program participation. We will also examine data on staff sociodemographic and professional background, and their competent adherence to the program, collected as part of staff training and certification. Discussion This project will be the first study of its kind to draw on multiple data sources and methods to examine the dissemination and scale-up of a parenting program across multiple LMIC contexts. While this study reports on the implementation of two specific parenting programs, we anticipate that our findings will be of relevance across the field of parenting, as well as other violence prevention and social programs.
Content may be subject to copyright.
S T U D Y P R O T O C O L Open Access
Evaluating the dissemination and scale-up
of two evidence-based parenting
interventions to reduce violence against
children: study protocol
Yulia Shenderovich
1*
, Catherine L. Ward
2
, Jamie M. Lachman
1,3
, Inge Wessels
1,2
, Hlengiwe Sacolo-Gwebu
2
,
Kufre Okop
2
, Daniel Oliver
4
, Lindokuhle L. Ngcobo
5
, Mark Tomlinson
6,7
, Zuyi Fang
1
, Roselinde Janowski
1,2
,
Judy Hutchings
8
, Frances Gardner
1
and Lucie Cluver
1,9
Abstract
Background: Eliminating violence against children is a prominent policy goal, codified in the Sustainable
Development Goals, and parenting programs are one approach to preventing and reducing violence. However, we
know relatively little about dissemination and scale-up of parenting programs, particularly in low- and middle-
income countries (LMICs). The scale-up of two parenting programs, Parenting for Lifelong Health (PLH) for Young
Children and PLH for Parents and Teens, developed under Creative Commons licensing and tested in randomized
trials, provides a unique opportunity to study their dissemination in 25 LMICs.
Methods: The Scale-Up of Parenting Evaluation Research (SUPER) study uses a range of methods to study the
dissemination of these two programs. The study will examine (1) process and extent of dissemination and scale-up,
(2) how the programs are implemented and factors associated with variation in implementation, (3) violence
against children and family outcomes before and after program implementation, (4) barriers and facilitators to
sustained program delivery, and (5) costs and resources needed for implementation.
Primary data collection, focused on three case study projects, will include interviews and focus groups with
program facilitators, coordinators, funders, and other stakeholders, and a summary of key organizational
characteristics. Program reports and budgets will be reviewed as part of relevant contextual information. Secondary
data analysis of routine data collected within ongoing implementation and existing research studies will explore
family enrolment and attendance, as well as family reports of parenting practices, violence against children, child
behavior, and child and caregiver wellbeing before and after program participation. We will also examine data on
staff sociodemographic and professional background, and their competent adherence to the program, collected as
part of staff training and certification.
(Continued on next page)
© The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License,
which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give
appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if
changes were made. The images or other third party material in this article are included in the article's Creative Commons
licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons
licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain
permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the
data made available in this article, unless otherwise stated in a credit line to the data.
* Correspondence: yulia.shenderovich@spi.ox.ac.uk;
y.shenderovich@gmail.com
1
Department of Social Policy and Intervention, University of Oxford, Oxford,
UK
Full list of author information is available at the end of the article
Implementation Scienc
e
Communications
Shenderovich et al. Implementation Science Communications (2020) 1:109
https://doi.org/10.1186/s43058-020-00086-6
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
(Continued from previous page)
Discussion: This project will be the first study of its kind to draw on multiple data sources and methods to
examine the dissemination and scale-up of a parenting program across multiple LMIC contexts. While this study
reports on the implementation of two specific parenting programs, we anticipate that our findings will be of
relevance across the field of parenting, as well as other violence prevention and social programs.
Keywords: Evidence-based practice implementation, Parenting, Violence against children, Scale-up, Dissemination
Background
The United Nations Sustainable Development Goal 16
has set the aspiration to end abuse, exploitation, traf-
ficking and all forms of violence against and torture of
children(target 16.2). This is no small challenge: over a
billion children each year experience some form of vio-
lence, with most of the burden in low- and middle-
income countries (LMICs) [1,2]. Parenting programs
are one of the seven strategies to prevent and reduce
violence against children identified in the INSPIRE
guidelines led by the World Health Organization
(WHO) [35]. Parenting programs involve group-based
or individual family meetings that aim to build effective
parenting practices, strengthen positive parenting, re-
duce harsh or violent parenting, and improve child out-
comes. Delivery of parenting programs may also help
address multiple global goals such as reducing prevent-
able deaths of infants and children under age five (target
3.2), reducing substance use (target 3.5), and violence
(target 16.1) among children and young people, improv-
ing childs and caregivers mental health (target 3.4), and
promoting education (targets 4.1) [69].
There is growing interest in the scale-up of parenting
programs [1012]. Scale-up can be conceptualized as
reaching wider geographical areas and more people, as
well as embedding delivery into lasting systems, for
Contributions to the literature
We describe a plan for learning from the widespread
dissemination and scale-up of two parenting programs in a
range of low- and middle-income country settings. Few pre-
vious studies have explored this scale of dissemination of a
social program.
The study will combine primary qualitative and
organizational data, as well as secondary quantitative data
collected by implementing agencies and other research
teams.
The results will provide insights into dissemination and
implementation across the implementation stages identified
in the Exploration, Preparation, Implementation and
Sustainment framework.
instance, by integrating new programs into existing ser-
vice systems [1317]. In the field of parenting programs,
as in other areas, many research-informed initiatives are
not taken up widely [18,19]. When programs are indeed
taken up, several questions arise. One frequent concern
is whether transporting a program from one cultural
context to another may reduce family engagement and
program effectiveness [20]. A recent systematic review
found that parenting programs may have comparable or
even greater effectiveness when implemented in regions
and with populations different from where they were
developed, with relatively minimal content adaptation
[21,22]. Yet not all transported family programs show
effects [23,24]. Another key question is whether pro-
gram effects achieved in research trials can be replicated
in routine services [25,26]. Studies of parenting pro-
grams implemented across entire areas have shown that
establishing and maintaining quality delivery is a chal-
lenge if programs are delivered by overburdened volun-
teers or staff [2730].
Parenting for Lifelong Health (PLH) is an initiative led
by individuals from the WHO, UNICEF, and the Univer-
sities of Bangor, Cape Town, Oxford, and Stellenbosch.
It aims to develop, test, and scale-up parenting programs
to reduce violence against children and improve child
wellbeing in LMICs. Since starting work in 2012, PLH
supported a suite of low-cost, Creative Commons-
licensed parenting programs, including developing PLH
for Young Children (2 to 9 years), and PLH for Parents
and Teens (10 to 17 years). Both programs are group-
based and can be supplemented with home visits. Group
sessions normally take place in community venues, such
as village halls. Initially tested in randomized controlled
trials in South Africa with promising results [3133], the
programs have subsequently been tested by the devel-
opers and other researchers in multiple countries (e.g.,
the Philippines and Thailand; [3436]). Program man-
uals are freely available online [37].
These two programs have experienced rapid dissemin-
ation in over 25 LMICs in sub-Saharan Africa, Eastern
Europe, Southeast Asia, and the Caribbean (Czech
Republic, Democratic Republic of the Congo, Federal
Democratic Republic of Ethiopia, Kingdom of Eswatini,
Kingdom of Lesotho, Kingdom of Thailand, Malaysia,
Montenegro, Republic of Botswana, Republic of
Shenderovich et al. Implementation Science Communications (2020) 1:109 Page 2 of 11
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
Cameroon, Republic of Côte dIvoire, Republic of Haiti,
Republic of India, Republic of Kenya, Republic of
Malawi, Republic of Moldova, Republic of North
Macedonia, Republic of South Africa, Republic of South
Sudan, Republic of the Philippines, Republic of Uganda,
Republic of Zambia, Republic of Zimbabwe, Romania,
and United Republic of Tanzania).
Delivery has been led by non-governmental organiza-
tions working with varying numbers of families. For ex-
ample, in South Sudan, delivery by Catholic Relief
Services reached several hundred families in 20172018
[38], while Pact Tanzania worked with 16,000 families in
11 districts in 20182019 and plans to work with ap-
proximately 47,800 families in 20202021 in 8 districts
of Tanzania. In several countries, including Montenegro,
South Africa, the Philippines, and Thailand, govern-
ments have led delivery. In many cases, PLH programs
have been integrated into packages of services, such as
the existing government conditional cash transfer system
in the Philippines [34]. Adaptations of the programs
have been tailored for a variety of populations, such as
families reunited after children exit residential care in
Kenya, and families with orphans and vulnerable chil-
dren as well as families of adolescent girls in the context
of HIV prevention in Tanzania.
In 2020, as part of the COVID-19 response, core pro-
gram components were converted into tip sheets for
families with an interagency collaboration including the
WHO, UNICEF, UNODC, USAID, the Centers for Dis-
ease Control and Prevention, and the Global Partnership
to End Violence Against Children, as well as NGOs [39].
Focusing on parenting during lockdown and school clo-
sures, the tips have been disseminated to an estimated
over 72 million families in 178 countries.
Two non-profit organizations, Clowns Without Bor-
ders South Africa (CWBSA), and the Childrens Early
Intervention Trust (CEIT) in Wales provide the main
support in Africa and Europe, respectively. PLH uses a
cascading dissemination model in which CWBSA and
CEIT (i.e., the program purveyors [40]) transfer technical
capacity to implementing agencies. Agencies interested
in implementing PLH typically request technical sup-
port, which includes the following:
1) Adapting the programs to fit the local context and
culture;
2) Conducting an implementation readiness
assessment;
3) Providing materials and tools for implementation,
monitoring, and evaluation;
4) Training frontline service providers including
program facilitators, coaches, trainers, and
coordinators;
5) Assessing and certifying personnel.
PLH facilitators range from community volunteers to
professional psychologists depending on the context. Fa-
cilitators deliver the program to familiescaregivers
only for PLH for Young Children, and caregivers and
their teens for PLH for Parents and Teensand receive
ongoing supportive supervision during delivery. To en-
sure high-quality program delivery, facilitator certifica-
tion is done via structured live or video observations and
is a requirement to be eligible to be trained as a PLH
coach; coaches (usually professionals) provide ongoing
support to facilitators. Likewise, PLH coaches are
assessed for certification, which is a requirement before
being trained as a PLH trainer who is licensed to train
facilitators and coaches.
The global uptake of the PLH programs provides an
unprecedented opportunity to explore questions of
scale-up across multiple LMICs. As a blueprint for the
Scale-Up of Parenting Evaluation Research (SUPER)
study, this paper will (1) describe research questions and
their rationale, (2) outline study structure and methods,
and (3) discuss challenges and opportunities.
Research questions
The study will use the Exploration, Preparation, Imple-
mentation and Sustainment (EPIS) framework [41,42].
EPIS is a comprehensive model of implementation stages
and their determinants. It organizes the study of imple-
mentation into the following stages: (1) explorationthe
process of intervention selection; (2) preparationset-
ting up for implementation; (3) implementationdeliv-
ery of evidence-based practices and ongoing monitoring
of the implementation process; and (4) sustainmentthe
process of program embedding in ongoing services. We
use these stages to inform data collection, and analysis
for instance, to structure our key informant interview
and focus group questions.
The SUPER study focuses on the following research
questions.
(1) What is the process and extent of dissemination and
scale-up of PLH programs?
Dissemination of evidence-informed practices is at the
heart of implementation research. It is important to
understand how and why PLH has been taken up by
funders and implementers since this will inform dissem-
ination of similar programs in future and of the same
programs in new settings [18]. The dissemination ap-
proach may also influence the quality and sustainment
of the program. We will map the types of organizations,
contexts, populations, and service combinations where
PLH has been adopted, as well as identifying several
cases where it was considered but not taken up.
Shenderovich et al. Implementation Science Communications (2020) 1:109 Page 3 of 11
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
(2) How are the PLH programs implemented in various
contexts and what are the factors associated with variation
in implementation?
Program fidelity and adaptation exist in constant tension
[43]. While strict adherence to protocols may ensure fi-
delity to the program as it was originally tested, adapta-
tion is often considered necessary to fit new settings and
populations [44]. In addition to formal systematic adap-
tation, adaptation often occurs during delivery in a more
ad hoc, informal manner. Facilitators may change ses-
sion content to address the concerns of the families with
whom they work. Due to external factors, such as fund-
ing cycles or agricultural seasons, implementation agen-
cies may adjust intervention length or facilitator
recruitment processes. This cannot only lead to inter-
vention drift [45] but also to innovations and maturation
that could strengthen program outcomes [46]. During
the COVID-19 pandemic, PLH adaptations have in-
cluded remote training of implementation staff and re-
mote provision of family support instead of in-person.
To understand how PLH is implemented at scale, we
will examine data on program delivery, adaptation, and
participant engagement, and factors associated with
these implementation outcomes.
(3) Are there changes in violence against children and other
targeted family outcomes, following program delivery?
Previous studies of parenting programs within routine
delivery have examined family outcomes using various
data sources. These include examining administrative
data from social services in the USA [28], data collected
by teachers in Scotland [29], families completing ques-
tionnaires in England [47], and data collected by re-
search assistants in Kenya from several hundred families
[48]. These studies have found mixed results in terms of
changes in family outcomes. To the best of our know-
ledge, no large-scale data analysis of family outcomes
has been reported in LMICs during ongoing parenting
program delivery. We will conduct a secondary analysis
of family-level pre-post outcome data collected by
implementing partners in an estimated 58 countries
through existing monitoring systems.
(4) What are barriers and facilitators to sustainment of PLH
programs?
Since the two PLH programs have been implemented
for only a few years, it is important to examine the pros-
pects and challenges for sustainment, such as via inte-
gration into existing service structures [45]. For
example, factors such as community support and leader-
ship consistency were identified as important for sus-
taining delivery of an early years maternal and child
health intervention in South Africa [19]. We will exam-
ine from interviews and organizational records whether
organizations are continuing to deliver PLH after the ini-
tial work with program purveyors is completed. We will
also explore, using interviews and focus groups, the
stakeholder perceptions of barriers and facilitators to
continued delivery.
(5) What are the costs and resources needed for PLH
delivery?
An essential first step to financial and resource sustain-
ability is understanding the costs in practice and at scale.
While it is possible to extrapolate from implementation
with smaller numbers of families, costs at scale may differ
[49]. There may be economies of scale, for instance, when
facilitators deliver multiple rounds of the program after a
single training. Therefore, we will explore the costs and
resources required for PLH delivery, as well as how the
PLH program delivery is currently being funded.
Study design
This study will use a mixed-methods approach. The re-
search questions, and corresponding implementation
phases and data collection methods are outlined in
Table 1. The research team will collect primary data in a
sub-sample of implementation settings. Data will also be
collected by implementing agencies and intervention
purveyors as part of the program delivery and may be
shared with the research team in a de-identified or
anonymized form for secondary data analysis. Although
the study timeline is 20202024, some of the secondary
data has already been collected by implementing agen-
cies and research partners. There can be a tension be-
tween pre-specifying research plans and being
responsive to dynamic implementation realities. There-
fore, further methods and questions may be added, as
the study evolves in collaboration with stakeholders.
Study sample
All organizations implementing PLH for Young Children
and PLH for Parents and Teens, as well as researchers of
formal studies, will be invited to contribute to the study.
To allow a more in-depth understanding of our research
questions, we will examine three case studies in depth,
selected based on variation along the following dimen-
sions: (1) geographical region, (2) level of government
involvement in delivery, and (3) number of families
reached [18,50]. Given that the program development
and most dissemination have been in the African contin-
ent, the case studies will be in Africa.
Study recruitment and ethical procedures
The study has received ethical approval from the Univer-
sities of Oxford (SPICUREC1a__20_015) and Cape
Town (PSY2017-040). We have obtained country-level
ethics clearance from 15 participating countries, and
Shenderovich et al. Implementation Science Communications (2020) 1:109 Page 4 of 11
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
further, country-level ethics will be collected as the study
recruits additional projects. We will seek agreement from
each of the organizations involved in the project before
approaching individuals within the organization. For pri-
mary data collection (Table 1), informed consent will be
obtained by the research team. In respect to data shared
for secondary analysis, implementation organizations and
research teams contributing data to the project are re-
sponsible for ensuring that families and staff can consent
or opt-out from being a part of the standard monitoring
and evaluation data collection, as appropriate. Before any
existing data are shared by organizations or investigators,
data sharing agreements will be signed; this includes the
requirement that partners will anonymize datasets before
sharing them.
Data collection tools and methods
Implementation and outcome measures
Implementation staff demographic data Partner orga-
nizations and intervention purveyors collect demographic
data about PLH facilitators and coaches. Demographic
Table 1 Overview of the study data sources
Type of
data
Data collectors Data collection method Study participants EPIS phase Research
questions
Primary
data
SUPER research team Interviews and focus groups Purveyor trainers and
program specialists
Preparation
Implementation
1,2,4,5
Donor agency staff Exploration
Preparation
Implementation
Sustainment
1,2,4
Local, regional and national
policymakers
Exploration
Preparation
Implementation
Sustainment
1,2,4
Other local stakeholders Exploration
Preparation
Implementation
Sustainment
1,2,3,4
Interviews and focus groups Program coordinators,
directors
Exploration
Preparation
Implementation
Sustainment
1,2,3,4,5
Monitoring and evaluation
team of the implementing
organization
Implementation
Sustainment
2,3,4,5
PLH facilitators, coaches,
trainers
Preparation
Implementation
Sustainment
2,3,4
Surveys on organizational
characteristics
Program coordinators,
directors
Implementation
Sustainment
1,2,4
Budgets, surveys, interviews on costs/
resources for delivery
Program coordinators,
directors
Implementation
Sustainment
5
Primary and
secondary
data
SUPER research team,
implementers, purveyors
Document review of other
background materials
Implementing organization,
local area
Exploration
Preparation
Implementation
Sustainment
1,2,3,4,5
Secondary
data
Implementers (usually collected by
program facilitators and other
research teams)
Family reports of parenting practices,
child behavior, child and caregiver
mental health
Families participating in
the PLH programs
Implementation
Sustainment
3
Implementers (usually collected by
program facilitators)
Family enrolment, attendance,
engagement, and dropout
Implementation
Sustainment
2,3
Purveyors Surveys on the sociodemographic and
professional background of staff
delivering the program
Facilitators, coaches Implementation
Sustainment
2
Assessments of competent adherence
to the program
Implementation
Sustainment
2
Program documentation, reports All Preparation
Implementation
1,2,3,4,5
Shenderovich et al. Implementation Science Communications (2020) 1:109 Page 5 of 11
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
data will include questions on age, gender, marital status,
parental status, number and age of children, employment
status, previous experience, and educational level. The
questionnaire will also assess facilitator/coach self-efficacy,
and attitude to corporal punishment.
Facilitator competent adherence Facilitator competent
adherence to the program can be defined as following
the activities outlined in the program manual while also
exercising clinical and teaching skills and judgment [51].
Competent adherence to the program will be evaluated
using fidelity checklists of session activities and the
PLH-Facilitator Assessment Tool (PLH-FAT) [52]. The
PLH-FAT is an observation assessment tool used either
live during group sessions or with video recordings. The
PLH-FAT was developed by the study investigators and
program developers to assess the proficiency of program
delivery by facilitators as a prerequisite to certification.
Seven standard behavior categories outlined in the pro-
gram manuals are grouped into two scales based on (1)
core activities and (2) process skills outlined in the pro-
gram manuals.
Coach competent adherence Coach competent adher-
ence to the program will be collected using a similar ob-
servational assessment tool, the PLH-Coach Assessment
Tool (PLH-CAT). This tool assesses the quality of
coaching provided to facilitators based on either live ob-
servations or video recordings of coaching sessions, in-
cluding an activity subscale on the discussion of
highlights and challenges and similar items for process
skills as in the PLH-FAT.
Family enrollment and attendance Enrollment refers
to the share of recruited caregivers (and adolescents in
PLH for Parents and Teens) who attend at least one ses-
sion. Attendance refers to the number of sessions, out of
the total possible number, attended by an enrolled par-
ticipant. For the PLH programs, an overall attendance
rate is calculated by using both group sessions and home
visits, as well as an additional group session rate. Enroll-
ment and attendance data are collected using
organizational recruitment lists and attendance registers.
Family outcomes Program purveyors offer organiza-
tions implementing PLH a set of family outcome meas-
urement tools. Organizations are encouraged to add
these questionnaires to their monitoring and evaluation
data collection if they already have a system in place for
family data collection, for instance, on HIV risk factors
in the context of sub-Saharan Africa. The measures rec-
ommended for PLH implementers focus on caregiver
and child behaviors and wellbeing (Table 2). The tools
were chosen because they assess the core outcomes the
PLH programs target and are freely available. PLH for
Young Children surveys are parent-reported, while PLH
for Parents and Teens has both parent- and adolescent-
report versions. Versions of different lengths (short,
medium, and long) allow implementers to select the
most appropriate version for their needs. Family ques-
tionnaires are usually collected by intervention
Table 2 Family questionnaire measures recommended to implementing partners
Domain Source Respondents
Parents of young
children
Parents of
adolescents
Adolescents
Demographics Selected details (e.g., age, gender, education) ✓✓
Involved parenting Alabama Parenting Questionnaire involved parenting subscale [53]✓✓
Parental monitoring Alabama Parenting Questionnaire parental monitoring subscale [53]✓✓
Child behavior Strengths and Difficulties Questionnaire [54]✓✓
Child mental health Strengths and Difficulties Questionnaire [54] N/A N/A
Harsh discipline ISPCAN Child Abuse Screening Tool [55,56]✓✓
Parenting stress Parenting Stress Scale [57]✓✓N/A
Acceptability of corporal
punishment
Multiple Indicator Cluster Survey item [58]✓✓N/A
Parental depression Centre for Epidemiological Studies-Depression [59]✓✓N/A
Risk avoidance Risk avoidance planning scale (Developed specifically for Sinovuyo
Teen intervention, based on [60]
✓✓
Economic strengthening Family financial coping scale (Developed specifically for Sinovuyo
Teen intervention, based on [6163]
✓✓
Parental support of
education
Parental Support for Education Scale [64]✓✓
Note: The table presents the most comprehensive version of the questionnaires (long). The questionnaires are available on the studys OSF page
Shenderovich et al. Implementation Science Communications (2020) 1:109 Page 6 of 11
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
facilitators at the first and last program sessions, with
follow-up sessions at home, where possible, in case of
missed sessions.
Organizational data.
Organizational surveys To characterize the organiza-
tions delivering PLH programs, and explore any vari-
ation in uptake, implementation, and sustainment
between them, we will distribute a short survey to these
organizations to capture basic organizational characteris-
tics, such as size and focus of activity.
Policies, protocols, and progress reports Researchers
will review locally relevant policies, protocols, and pro-
gress reports to identify the context that affects PLH im-
plementation. Information on the implementation
process will be extracted from progress reports and
other routine documents, such as the implementation
readiness assessment, where available. Formal requests
will be sent to participating organizations to obtain per-
mission to review relevant documents.
Costing questionnaires for organizations We aim to
collect the program set-up and implementation costs
from at least the case study countries to examine how
much the delivery costs in different contexts. We will re-
view program budgets and collect data directly from the
organizations directly about resources involved, based
on the Global Health Consortium and J-PAL guidance
[65,66], as well as previous analyses of the PLH for Par-
ents and Teens costs [67].
Qualitative data
Key informant interviews Semi-structured interviews
will be conducted with representatives of governments,
funding agencies, implementing partners, program facili-
tators, coaches, and trainers. Interviews will be held in
person or virtually following interview guides, aiming for
approximately 48 interviews per implementation site or
until saturation is reached.
Focus group discussions Focus group discussions of
between 6 and 12 participants will be conducted with
PLH program facilitators and supervisors. The number
of focus groups per site will be determined by the scale
of implementation and heterogeneity of the participants.
An experienced moderator will lead the discussions fol-
lowing a discussion guide, assisted by notetakers.
The qualitative data collection will focus on the projects
selected as case studies, although it may also include add-
itional sites. Interviews and focus groups will be con-
ducted by experienced interviewers who either speak the
same language as the participants or are assisted by an in-
terpreter. Interviews and focus groups will be transcribed.
The transcripts will be either written in or translated into
English, the main language of analysis. Spot-checking will
be done during the translation and transcription phases to
ensure consistency and accuracy.
Fieldnotes In addition to interviews and focus groups,
fieldnotes will be compiled through stakeholder meet-
ings, such as community of practice meetings. In such
meetings, participants involved in the implementation of
the programs will be solicited to give an overview of
PLH programs in their countries, discuss challenges, and
deliberate on possible solutions.
Analysis plans
Since this is an overarching blueprint, we provide an
overview of planned analyses approaches. Where pos-
sible, data collection tools, protocols, and detailed plans
for specific analyses will be published separately and
listed on the projects Open Science Framework page
(https://osf.io/v597r/).
Quantitative analyses
To address Research Questions 1 and 2 (examining the
dissemination and implementation of PLH programs), we
will examine the attendance rates and trends among par-
ticipating families, as well as variation in enrollment, at-
tendance, and program completion. We will also
summarize and examine variation in facilitator and coach
sociodemographic characteristics, key organizational char-
acteristics, and the relationship of these characteristics to
other implementation outcomes, such as facilitator and
coach competent adherence to the program, using regres-
sion and structural equation models. We will conduct
analyses to examine family behaviors and wellbeing before
and after participation in the program to address Research
Question 3 (impact of PLH at scale on family-level out-
comes), using regression-based models. We will also
examine variation in family outcomes based on baseline
family characteristics and program implementation. We
also plan to compare implementation and outcomes asso-
ciated with different combinations of services as PLH is
often delivered alongside other programs. For Research
Question 5 (costs and resources), we will summarize the
average program costs and their variation.
Techniques such as hierarchical linear modeling and
generalized estimating equations will be used to account
for the nesting of datafor example, families within
areas. Missing data will be addressed using methods
such as full information maximum likelihood or multiple
imputation [68], or other methods. Reporting will follow
STROBE standards [69] where appropriate. Since imple-
menting partners and PLH research teams may have
Shenderovich et al. Implementation Science Communications (2020) 1:109 Page 7 of 11
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
used different measures to assess targeted outcomes,
where necessary and possible, data harmonization strat-
egies will be used for analyses involving data from mul-
tiple projects.
Where possible, the research team will support imple-
mentation teams to lead their own analyses and ensure
that data collected in a specific country remains stored
there, even if it is shared for additional analysis else-
where. It is also important to acknowledge that any ana-
lysis of routinely collected data, even in relatively high-
resource settings, poses challenges, such as with data
quality, social desirability, and selection biases [7072].
In some countries, the study team is providing support
to agencies to strengthen data collection and manage-
ment systems, and a monitoring and evaluation manual
is in process of development to support best practices in
data collection.
Qualitative and mixed-method analyses
Thematic analysis [73] will be applied to qualitative
data from interviews and focus group discussions to
identify patterns within and between case study sites
on the dissemination, implementation, and sustain-
ment of PLH programs. Document analysis will be
two-phased, combining content and thematic analyses
[74]. Relevant information on will be extracted and
organized through content analysis guided by the
study research questions. The information will then
be analyzed thematically. Across our analyses, we will
examine how findings vary along key dimensions such
as scale of delivery and characteristics of implement-
ing organizations [27,45,75].
Reporting will follow the COREQ standards [76]. Sum-
maries of findings will be shared with the research team,
participants, and implementing partners for member
checking [77]. To support collaboration between re-
searchers, implementers, and other stakeholders [78], we
are setting up systems of advisory committees.
Where possible, we will combine multiple data sources
to answer research questions. For instance, to help an-
swer Research Question 2 (implementation and adapta-
tion of PLH programs), analysis will draw on the
qualitative interviews with facilitators and coaches, and
quantitative data on facilitator adherence. We will use
the FRAME framework to examine program adaptations
[79]. Analyses will include (1) timing and method of
adaptation; (2) whether the adaptation was planned or
ad hoc; the decision making process for making adapta-
tions; (3) the level and extent of adaptation; (4) whether
the adaptation targeted program content, delivery, struc-
ture or context of implementation; and (5) how adapta-
tion may have impacted fidelity to core components and
program effectiveness.
Discussion
This project will examine nested information about the com-
munity, implementing organizations, types of programs im-
plemented, implementation staff, and the caregivers and
children who participate in the PLH programs. The use of
multiple data sources and methods is designed to support
learning as violence prevention programs are tested, dis-
seminated, and scaled-up. No previous study that we are
aware of has collected and examined dissemination and
scale-up of a parenting program across multiple LMIC
contexts. While this study addresses two specific parent-
ing programs, we anticipate that our findings will be of
relevance across the field of parenting, as well as many
types of social programming, including those focused on
education and violence prevention.
Supplementary information
Supplementary information accompanies this paper at https://doi.org/10.
1186/s43058-020-00086-6.
Additional file 1: TIDieR checklist.
Abbreviations
PLH: Parenting for Lifelong Health; LMIC: Low- and middle-income countries;
EPIS: Exploration, Preparation, Implementation and Sustainment (framework);
WHO: World Health Organization
Acknowledgements
The PLH SUPER study would not be possible without the support of
wonderful colleagues at numerous organizations, including (to date):
Academic Model Providing Access to Healthcare (AMPATH) Kenya; Agency
for Research and Development Initiative, South Sudan; Botswana Stepping
Stones International; Catholic Relief Services and 4Children DRC and Haiti;
Catholic Relief Services Headquarters, USA; Catholic Relief Services South
Sudan, Zimbabwe, Côte dIvoire, Cameroon, and Lesotho; Emmanuel
Hospital Association, India; FHI 360 Ethiopia; Health for Youth Association,
Moldova; Institute for Marriage, Family and Systemic Practice (ALTERNATIVA),
North Macedonia; Institute for Security Studies Africa; Justice and Violence
Prevention Programme, South Africa; Manenberg Peoples Centre, South
Africa; Project Hope, South Africa; Ikamva Labantu, South Africa; Pact
Eswatini, Tanzania, South Sudan, and Zambia; Lilongwe Catholic Health
Commission (LCHC), Malawi; Schola Empirica, Czech Republic; South Sudans
Ministry of Health; Tanzanian Ministry of Health, Community Development,
Gender, Elderly and Children; The Seven Passes Initiative, South Africa;
UNICEF HQ; UNICEF Montenegro; World Health Organization. This is a list of
our partners in the SUPER study at the time of publishing this paper: more
will be added as the study progresses.
We also thank colleagues at the Ateneo de Manila University and the
University of the Philippines, Philippines; Babes-Bolyai University, Romania;
Georgia State University, USA; St. Cyril and Methodius University Skopje,
North Macedonia; Stellenbosch University and University of Cape Town,
South Africa; Universitat Klagenfurt, Austria; University of Bremen, Germany;
Queens University Belfast, Bangor University, University of Glasgow, and Uni-
versity of Oxford, UK. We thank all the staff at the Childrens Early Interven-
tion Trust and Clowns Without Borders South Africa, in addition to those
who are authors. Thank you also to Professor Ana Baumann, Professor
George Howe, Professor J. Lawrence Aber, Dr. Thees Spreckelsen, Dr. Lesley
Gittings, and Professor Aaron Reeves for advice on study design.
Authorscontributions
LC, JML, and CW led the development of the original study idea. All authors
participated in the conceptual design of the study and/or the program
implementation. YS led the conceptualization and drafting of the
manuscript. CW, LC, JML, IW, FG, IW, LLN, MT, HS, and KO wrote the sections
and revised the manuscript. The authors read and approved the manuscript.
Shenderovich et al. Implementation Science Communications (2020) 1:109 Page 8 of 11
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
Funding
The PLH SUPER study has received funding from the European Research
Council (ERC) under the European Unions Horizon 2020 research and
innovation program (Grant agreement No. 737476 and No. 771468), Research
England, the UK Research and Innovation (UKRI) Global Challenges Research
Fund (GCRF) through the UKRI GCRF Accelerating Achievement for Africas
Adolescents Hub (Grant Ref: ES/S008101/1), the Complexity in Health
Improvement Program of the Medical Research Council (MRC) UK (Grant No.
MC_UU 12017/14), the National Research Foundation of South Africa (Grant
No. 118571), and the Oak Foundation.
Availability of data and materials
Key study materials are available on the project Open Science Framework
page: https://osf.io/v597r/
Ethics approval and consent to participate
Ethics committee approval for the SUPER project was granted by the
Department of Social Policy and Intervention at the University of Oxford
(SPICUREC1a_20_015) and University of Cape Town (PSY2017-040). Country-
specific ethics approvals were obtained by the implementation partners in
the Democratic Republic of Congo, Montenegro, Haiti, South Sudan,
Tanzania, Eswatini and by research partners in the Czech Republic, India,
Kenya, North Macedonia, Moldova, Romania, Philippines, and Thailand.
Consent for publication
Not applicable.
Competing interests
Cluver, Ward, Lachman, Hutchings, and Gardner were involved in the
development of the PLH programs. Shenderovich, Lachman, and Wessels
worked on the PLH trials in South Africa and based their doctoral work
on these. The work of Cluver, Shenderovich, Wessels, Ward, Lachman,
Okop, Sacolo-Gwebu, and Gardner is partly funded by the UKRI GCRF
Accelerating Achievement for AfricasAdolescentsHub.Theworkof
Lachman has been supported by a GCRF Centre Hub Grant. The work of
Cluver, Shenderovich, Wessels, Ward, Lachman, Gardner, Hutchings, and
Janowski has been partly funded by grants under the European Research
Councils Horizon 2020 program. The work of Lachman, Ward, and Gard-
ner has also been partly funded by UNICEF Thailand, the work of Hutch-
ings and Lachman by UNICEF Montenegro, and the work of Hutchings,
Lachman, Ward, and Gardner by UNICEF Philippines. Further, Lachman is
the former Executive Director of Clowns Without Borders South Africa
and receives income as a PLH Trainer. Ngcobo is Co-Director of Clowns
Without Borders South Africa. Ward reports grants from the National Re-
search Foundation of South Africa and the World Childhood Foundation.
Janowski reports a scholarship from the University of Cape Town. Hutch-
ings receives occasional income as a PLH Trainer.
Author details
1
Department of Social Policy and Intervention, University of Oxford, Oxford,
UK.
2
Department of Psychology, University of Cape Town, Cape Town, South
Africa.
3
MRC/CSO Social and Public Health Sciences Unit, University of
Glasgow, Glasgow, Scotland.
4
Catholic Relief Services, Baltimore, USA.
5
Clowns Without Borders South Africa, Cape Town, South Africa.
6
Institute for
Life Course Health Research, Department of Global Health, Stellenbosch
University, Stellenbosch, South Africa.
7
School of Nursing and Midwifery,
Queens University, Belfast, UK.
8
School of Psychology, Bangor University,
Bangor, Wales.
9
Department of Psychiatry and Mental Health, University of
Cape Town, Cape Town, South Africa.
Received: 22 September 2020 Accepted: 12 October 2020
References
1. Hillis S, Mercy J, Amobi A, Kress H. Global prevalence of past-year violence
against children: a systematic review and minimum estimates. Pediatrics.
2016;137(3) Available from: https://doi.org/10.1542/peds.2015-4079.
2. Devries K, Knight L, Petzold M, Merrill KG, Maxwell L, Williams A, et al. Who
perpetrates violence against children? A systematic analysis of age-specific
and sex-specific data. BMJ Paediatrics Open. 2018;2(1):e000180 https://doi.
org/10.1136/bmjpo-2017-000180.
3. World Health Organization. INSPIRE: seven strategies for ending violence
against children. Luxembourg; 2016.
4. Gardner F, Leijten P, Melendez-Torres GJ, Landau S, Harris V, Mann J, et al. The
earlier the better? Individual participant data and traditional meta-analysis of
age effects of parenting interventions. Child Dev. 2019;90(1):719. Available
from: https://srcd.onlinelibrary.wiley.com/doi/abs/10.1111/cdev.13138.
5. Knerr W, Gardner F, Cluver LD. Improving positive parenting skills and
reducing harsh and abusive parenting in low- and middle-income
countries: a systematic review. Prev Sci. 2013;14(4):35263 Available from:
https://link.springer.com/article/10.1007%2Fs11121-012-0314-1.
6. Cluver LD, Orkin FM, Campeau L, Toska E, Webb D, Carlqvist A, et al.
Improving lives by accelerating progress towards the UN Sustainable
Development Goals for adolescents living with HIV: a prospective cohort
study. Lancet Child Adolesc Health. 2019;3(4):24554 https://doi.org/10.
1016/S2352-4642(19)30033-1.
7. Barlow J, Smailagic N, Huband N, Roloff V, Bennett C. Groupbased parent
training programmes for improving parental psychosocial health. Cochrane
Database Syst Rev. 2014;(5) Art. No.: CD002020. https://doi.org/10.1002/
14651858.CD002020.pub4.
8. Steinert JI, Cluver LD, Meinck F, Doubt J, Vollmer S. Household economic
strengthening through financial and psychosocial programming: evidence
from a field experiment in South Africa. J Dev Econ. 2018;134:44366.
Available from: https://www.sciencedirect.com/science/article/abs/pii/S03
04387818304760.
9. Engle PL, Black MM, Behrman JR, De Mello MC, Gertler PJ, Kapiriri L, et al.
Strategies to avoid the loss of developmental potential in more than 200
million children in the developing world. Child Care Health Dev. 2007;33(4):
5023https://doi.org/10.1111/j.1365-2214.2007.00774_3.x.
10. Gardner F, Montgomery P, Knerr W. Transporting evidence-based parenting
programs for child problem behavior (age 310) between countries:
systematic review and meta-analysis. J Clin Child Adolescent Psychol. 2015;
45:74962 https://doi.org/10.1080/15374416.2015.1015134.
11. Ward C, Sanders MR, Gardner F, Mikton CR, Dawes A. Preventing child
maltreatment in low- and middle-income countries. Parent support programs
have the potential to buffer the effects of poverty. Child Abuse Negl. 2016;54:
97107 Available from: https://doi.org/10.1016/j.chiabu.2015.11.002.
12. Bellis MA, Hughes K, Leckenby N, Hardcastle KA, Perkins C, Lowey H.
Measuring mortality and the burden of adult disease associated with
adverse childhood experiences in England: a national survey. J Public
Health. 2015;37(3):44554 Available from: https://academic.oup.com/
jpubhealth/article-lookup/doi/10.1093/pubmed/fdu065.
13. Britto PR, Singh M, Dua T, Kaur R, Yousafzai AK. What implementation
evidence matters: scaling-up nurturing interventions that promote early
childhood development. Ann N Y Acad Sci. 2018;1419(1):516.
14. Cavallera V, Tomlinson M, Radner J, Coetzee B, Daelmans B, Hughes R, et al.
Scaling early child development: what are the barriers and enablers? Arch
Dis Child. 2019;104:S4350.
15. Greenhalgh T, Papoutsi C. Spreading and scaling up innovation and
improvement. BMJ. 2019;365(May):17.
16. Goldmann L, Lundgren R, Welbourn A, Gillespie D, Bajenja E, Muvhango L,
et al. On the CUSP: the politics and prospects of scaling social norms
change programming. Sex Reprod Health Matters. 2019;27(2):5163.
17. World Health Organization. ExpandNet. Practical guidance for scaling up
health service innovations. Geneva; 2009. Available from: https://expandnet.
net/PDFs/WHO_ExpandNet_Practical_Guide_published.pdf.
18. Willis CD, Riley BL, Stockton L, Abramowicz A, Zummach D, Wong G, et al.
Scaling up complex interventions: insights from a realist synthesis. Health
Res Policy Syst. 2016;14(1):116 Available from: https://doi.org/10.1186/
s12961-016-0158-4.
19. Tomlinson M, Hunt X, Rotheram-Borus MJ. Diffusing and scaling evidence-
based interventions: eight lessons for early child development from the
implementation of perinatal home visiting in South Africa. Ann N Y Acad
Sci. 2018;1419(1):21829.
20. Baumann AA, Powell BJ, Kohl PL, Tabak RG, Penalba V, Proctor EK, et al.
Cultural adaptation and implementation of evidence-based parent-
training: a systematic review and critique of guiding evidence. Child
Youth Serv Rev. 2015;53:11320 Available from: https://doi.org/10.1016/j.
childyouth.2015.03.025.
21. Gardner F. Parenting interventions: how well do they transport from one
country to another? Firenze: Innocenti UNICEF; 2017. Report No.: 10.
Available from: https://www.unicef-irc.org/publications/pdf/IRB_2017_10.pdf.
Shenderovich et al. Implementation Science Communications (2020) 1:109 Page 9 of 11
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
22. Leijten P, Melendez-Torres GJ, Knerr W, Gardner F. Transported versus
homegrown parenting interventions for reducing disruptive child behavior:
a multilevel meta-regression study. J Am Acad Child Adolesc Psychiatry.
2016;55(7):6107 Available from: https://doi.org/10.1016/j.jaac.2016.05.003.
23. Eisner M, Nagin D, Ribeaud D, Malti T. Effects of a universal parenting
program for highly adherent parents: a propensity score matching
approach. Prev Sci. 2012;13(3):25266.
24. Fonagy P, Butler S, Cottrell D, Scott S, Pilling S, Eisler I, et al. Multisystemic
therapy versus management as usual in the treatment of adolescent
antisocial behaviour (START): a pragmatic, randomised controlled,
superiority trial. Lancet Psychiatry. 2018;5(2):11933 Available from: https://
doi.org/10.1016/S2215-0366(18)30001-4.
25. Bold T, Kimenyi M, Mwabu G, Nganga A, Sandefur J. Scaling-up what
works: experimental evidence on external validity in Kenyan education.
Oxford: CSAE Working Paper; 2013. Report No.: WPS/2013-04.
26. Nagin DS, Sampson RJ. The real gold standard: measuring counterfactual
worlds that matter most to social science and policy. Ann Rev Criminol.
2019;2(1):12345.
27. Hutchings J. Introducing, researching, and disseminating the incredible
years programmes in Wales. Int J Confl Violence. 2012;6(2):22533.
28. Prinz RJ, Sanders MR, Shapiro CJ, Whitaker DJ, Lutzker JR. Population-based
prevention of child maltreatment: the U.S. Triple P System Population Trial.
Prev Sci. 2009;10(1):112.
29. Marryat L, Thompson L, Wilson P. No evidence of whole population mental
health impact of the Triple P parenting programme: findings from a routine
dataset. BMC Pediatr. 2017;17(1):110.
30. Little M, Berry V, Morpeth L, Blower S, Axford N, Taylor R, et al. The impact
of three evidence-based programmes delivered in public systems in
Birmingham, UK. Int J Confl Violence. 2012;6(2):26072.
31. Ward CL, Wessels IM, Lachman JM, Hutchings J, Cluver L, Kassanjee R, et al.
Parenting for Lifelong Health for Young Children: a randomized controlled
trial of a parenting program in South Africa to prevent harsh parenting and
child conduct problems. J Child Psychol Psychiatry Allied Discip. 2020;61(4):
50312.
32. Cluver LD, Meinck F, Steinert J, Shenderovich Y, Doubt J, Herrero-
Romero R, et al. Parenting for Lifelong Health: a pragmatic cluster
randomised controlled trial of a non-commcialised parenting
programme for adolescents and their families in South Africa. BMJ Glob
Health. 2018;3(1):116.
33. Lachman JM, Cluver LD, War d CL, Hutchings J, Mlotshwa S, Wessels IM,
et al. Randomized controlled trial of a parenting program to reduce
the risk of child maltreatment in South Africa. Child Abuse Negl. 2017;
72(July):33851 Available from: http://linkinghub.elsevier.com/retrieve/pi i/
S0145213417302922.
34. Alampay LP, Lachman JM, Landoy BV, Madrid BJ, Ward CL, Hutchings J, et
al. Preventing child maltreatment in low-and middle-income countries:
Parenting for Lifelong Health in the Philippines. In: Developmental Science
and Sustainable Development Goals for Children and Youth: Springer; 2018.
p. 27793.
35. Gardner F, McCoy A, Tapanya S, Ward CL, Lachman JM. Testing a parenting
intervention in the public health system in Thailand to prevent violence
against children: randomised controlled trial. 2020. Manuscript in preparation.
36. Lachman JM, Alampay LP, Jocson R, Alinea MCD, Madrid BJ, Ward CL, et al.
Integrating parent management training within a conditional cash transfer
system for low-income families: results from a small-scale randomized
controlled trial in the Philippines. 2020. Manuscript in preparation.
37. World Health Organization. Parenting for Lifelong Health (PLH). Available
from: https://www.who.int/violence_injury_prevention/violence/child/plh/
en/. Accessed 20 Oct 2020.
38. Janowski RK, Wessels I, Bojo S, Monday F, Maloney K, Achut V, et al.
Transferability of evidence-based parenting programs to routine
implementation in postconflict South Sudan. Res Soc Work Pract. 2020;30(8):
85869 Available from: https://doi.org/10.1177/1049731520932986.
39. Cluver L, Lachman JM, Sherr L, Wessels I, Krug E, Rakotomalala S, et al.
Parenting in a time of COVID-19. Lancet. 2020;395(10231):e64 Available
from: https://linkinghub.elsevier.com/retrieve/pii/S0140673620307364.
40. Fixsen DL, Naoom SF, Blase KA, Friedman RM, Wallace F. Implementation
research: A synthesis of the literature. Tampa: University of South Florida,
Louis de la Parte Florida Mental Health Institute, The National
Implementation Research Network (FMHI Publication #231); 2005. Available
from: https://fpg.unc.edu/node/4445.
41. Moullin JC, Dickson KS, Stadnick NA, Rabin B, Aarons GA. Systematic review
of the Exploration, Preparation, Implementation, Sustainment (EPIS)
framework. Implement Sci. 2019;14(1):116.
42. Moullin JC, Dickson KS, Stadnick NA, Albers B, Nilsen P, Broder-Fingert S, et
al. Ten recommendations for using implementation frameworks in research
and practice. Implement Sci Commun. 2020;1(1):112.
43. Castro FG, Barrera M, Martinez CR. The cultural adaptation of prevention
interventions: resolving tensions between fidelity and fit. Prev Sci. 2004;
5(1):415.
44. Parra-Cardona R, Leijten P, Lachman JM, Mejía A, Baumann AA, Amador
Buenabad NG, et al. Strengthening a culture of prevention in low- and
middle-income countries: balancing scientific expectations and contextual
Realities. Prev Sci. 2018:111 Available from: http://link.springer.com/10.1
007/s11121-018-0935-0.
45. Lucas JE, Richter LM, Daelmans B. Care for Child Development: an
intervention in support of responsive caregiving and early child
development. Child Care Health Dev. 2018;44(1):419.
46. Tommeraas T, Ogden T. Is there a scale-up penalty? Testing behavioral
change in the scaling up of parent management training in Norway. Adm
Policy Ment Health Ment Health Serv Res. 2017;44(2):20316 https://doi.org/
10.1007/s10488-015-0712-3.
47. Gr ay GR, Totsika V, Lindsay G. Sustained effectiveness of evidence-based
parenting programs after the research trial ends. Front Psychol. 2018;
9(OCT):111.
48. Poulsen MN, Vandenhoudt H, Wyckoff SC, Obongo CO, Ochura J, Njika G, et
al. Evaluation of a U.S. evidence-based parenting intervention in rural
western Kenya: from Parents Matter! to Families Matter! AIDS Educ Prevent.
2010;22(4):32843.
49. Remme M, Michaels-Igbokwe C, Watts, C. Paper 4: Approaches to scale-up and
assessing cost-effectiveness of programmes to prevent violence against women
and girls. What Works to Prevent Violence against women and girls evidence
reviews; 2015. Available from: https://prevention-collaborative.org/resource/
approaches-to-scale-up-and-assessing-cost-effectiveness-of-programmes-to-
prevent-violence-against-women-and-girls-what-works-to-prevent-violence-
against-women-and-girls-evidence-reviews-paper-4/. Accessed 19 Oct 2020.
50. Woolcock M. Using case studies to explore the external validity of
complexdevelopment interventions. Evaluation. 2013;19(3):22948.
51. Forgatch MS, Patterson GR, DeGarmo DS. Evaluating fidelity: predictive
validity for a measure of competent adherence to the Oregon model of
Parent Management Training. Behavior Ther. 2005;36(1):313 https://doi.org/
10.1016/S0005-7894(05)80049-8.
52. Lachman JM, Martin M, Booij A, Tsoanyane S, Majenga N. Parenting for
Lifelong Health for Teens: facilitator assessment tool manual. Cape Town.
53. Frick PJ. Alabama Parenting Questionnaire: Unpublished rating scale,
University of Alabama; 1991.
54. Goodman A, Goodman R. Strengths and difficulties questionnaire as a
dimensional measure of child mental health. J Am Acad Child Adolesc
Psychiatry. 2009;48(4):4003 Available from: https://doi.org/10.1097/CHI.
0b013e3181985068.
55. Dunne MP, Zolotor AJ, Runyan DK, Andreva-Miller I, Choo WY, Dunne SK, et al.
ISPCAN Child Abuse Screening Tools Retrospective version (ICAST-R): Delphi
study and field testing in seven countries. Child Abuse Negl. 2009;33(11):81525.
56. Meinck F, Boyes M, Cluver LD, Ward C, Schmidt P, Dunne M. Development
and psychometric properties of the ISPCAN child abuse screening tool for
use in trials among South African adolescents and their primary caregivers.
Child Abuse Negl. 2017;82(January):4558 Available from: https://doi.org/10.
1016/j.chiabu.2018.05.022.
57. Berry JO, Jones WH. The parental stress scale: initial psychometric evidence.
J Soc Pers Relat. 1995;12(3):46372.
58. UNICEF. Multiple Indicator Cluster Survey. 2014. Available from: https://www.
unicef.org/statistics/index_24302.html.
59. Radloff LS. The CES-D scale: a self-report depression scale for research in the
general population. Appl Psychol Meas. 1977;1(3):385401.
60. Hutchinson MK. The parent-teen sexual risk communication scale (PTSRC-III):
instrument development and psychometrics. Nurs Res. 2007;56(1):18.
61. Lown JM. Development and validation of a financial self-efficacy scale. J
Financ Couns Plan. 2011;22(2):5463 Available from: https://papers.ssrn.com/
sol3/papers.cfm?abstract_id=2006665.
62. Karlan D, Linden LL. Loose knots: strong versus weak commitments to save
for education in Uganda. NBER Working Paper. 2014. Available from: http://
www.nber.org/papers/w19863. Report No.: 19863.
Shenderovich et al. Implementation Science Communications (2020) 1:109 Page 10 of 11
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
63. Kast F, Meier S, Pomeranz D. Under-savers anonymous: Evidence on self-
help groups and peer pressure as a savings commitment device (No.
w18417). National Bureau of Economic Research. 2012. Available from:
https://www.nber.org/papers/w18417.
64. Ceballo R, Maurizi LK, Suarez GA, Aretakis MT. Gift and sacrifice: parental
involvement in latino adolescentseducation. Cult Divers Ethn Minor
Psychol. 2014;20(1):11627.
65. Vassall A, Sweeney S, Kahn JG, Gomez G, Bollinger L, Marseille E, et al.
Reference case for estimating the costs of Global Health Services and
Interventions. 2017. Available from: https://ghcosting.org/pages/standards/
reference_case.
66. Abdul Latif Jameel Poverty Action Lab. J-PAL costing guidelines. 2020.
Available from: https://www.povertyactionlab.org/sites/default/files/research-
resources/costing-guidelines.pdf.
67. Redfern A, Cluver LD, Casale M, Steinert JI. Cost and cost-effectiveness of a
parenting programme to prevent violence against adolescents in South
Africa. BMJ Glob Health. 2019;4(3):19.
68. Schafer JL, Graham JW. Missing data: our view of the state of the art.
Psychol Methods. 2002;7(2):14777.
69. Vandenbroucke JP, Von Elm E, Altman DG, Gøtzsche PC, Mulrow CD,
Pocock SJ, et al. Strengthening the Reporting of Observational Studies
in Epidemio logy (STROBE): explanation and elaboration. PLoS Med.
2007;4(10):e297.
70. Lindsay G, Strand S, Davis H. A comparison of the effectiveness of three
parenting programmes in improving parenting skills, parent mental-well
being and childrens behaviour when implemented on a large scale in
community settings in 18 English local authorities: the parenting early i.
BMC Public Health. 2011;11(1):962 Available from: http://www.
biomedcentral.com/1471-2458/11/962.
71. Wolpert M, Rutter H. Using flawed, uncertain, proximate and sparse (FUPS)
data in the context of complexity: learning from the case of child mental
health. BMC Med. 2018;16(1):111.
72. Gugerty MK, Karlan D. The Goldilocks challenge: right-fit evidence for the
social sector. New York: Oxford University Press; 2018.
73. Braun V, Clarke V. Using thematic analysis in psychology using thematic
analysis in psychology. Qual Res Psychol. 2006;3(2):77101. Available from:
https://doi.org/10.1191/1478088706qp063oa.
74. Braun V, Clarke V. Successful qualitative research: a practical guide for
beginners. London: SAGE Publications; 2013.
75. Aldridge WA II, Murray DW, Prinz RJ, Veazey CA. Final report and
recommendations: the Triple P implementation evaluation. Chapel Hill;
2016. Available from: https://ictp.fpg.unc.edu/sites/ictp.fpg.unc.edu/files/
resources/TPIEFinalReport_Jan2016_1.pdf.
76. Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative
research (COREQ): a 32-item checklist for interviews and focus groups. Int J
Qual Health Care. 2007;19(6):34957.
77. Orgill M, Gilson L, Chitha W, Michel J, Erasmus E, Marchal B, et al. A
qualitative study of the dissemination and diffusion of innovations: bottom
up experiences of senior managers in three health districts in South Africa.
Int J Equity Health. 2019;18(1):115.
78. Hull L, Goulding L, Khadjesari Z, Davis R, Healey A, Bakolis I, et al. Designing
high-quality implementation research: development, application, feasibility
and preliminary evaluation of the implementation science research
development (ImpRes) tool and guide. Implement Sci. 2019;14(1):120.
79. Stirman SW, Baumann AA, Miller CJ. The FRAME: an expanded framework
for reporting adaptations and modifications to evidence-based
interventions. Implement Sci. 2019;14(1):110.
PublishersNote
Springer Nature remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations.
Shenderovich et al. Implementation Science Communications (2020) 1:109 Page 11 of 11
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
1.
2.
3.
4.
5.
6.
Terms and Conditions
Springer Nature journal content, brought to you courtesy of Springer Nature Customer Service Center GmbH (“Springer Nature”).
Springer Nature supports a reasonable amount of sharing of research papers by authors, subscribers and authorised users (“Users”), for small-
scale personal, non-commercial use provided that all copyright, trade and service marks and other proprietary notices are maintained. By
accessing, sharing, receiving or otherwise using the Springer Nature journal content you agree to these terms of use (“Terms”). For these
purposes, Springer Nature considers academic use (by researchers and students) to be non-commercial.
These Terms are supplementary and will apply in addition to any applicable website terms and conditions, a relevant site licence or a personal
subscription. These Terms will prevail over any conflict or ambiguity with regards to the relevant terms, a site licence or a personal subscription
(to the extent of the conflict or ambiguity only). For Creative Commons-licensed articles, the terms of the Creative Commons license used will
apply.
We collect and use personal data to provide access to the Springer Nature journal content. We may also use these personal data internally within
ResearchGate and Springer Nature and as agreed share it, in an anonymised way, for purposes of tracking, analysis and reporting. We will not
otherwise disclose your personal data outside the ResearchGate or the Springer Nature group of companies unless we have your permission as
detailed in the Privacy Policy.
While Users may use the Springer Nature journal content for small scale, personal non-commercial use, it is important to note that Users may
not:
use such content for the purpose of providing other users with access on a regular or large scale basis or as a means to circumvent access
control;
use such content where to do so would be considered a criminal or statutory offence in any jurisdiction, or gives rise to civil liability, or is
otherwise unlawful;
falsely or misleadingly imply or suggest endorsement, approval , sponsorship, or association unless explicitly agreed to by Springer Nature in
writing;
use bots or other automated methods to access the content or redirect messages
override any security feature or exclusionary protocol; or
share the content in order to create substitute for Springer Nature products or services or a systematic database of Springer Nature journal
content.
In line with the restriction against commercial use, Springer Nature does not permit the creation of a product or service that creates revenue,
royalties, rent or income from our content or its inclusion as part of a paid for service or for other commercial gain. Springer Nature journal
content cannot be used for inter-library loans and librarians may not upload Springer Nature journal content on a large scale into their, or any
other, institutional repository.
These terms of use are reviewed regularly and may be amended at any time. Springer Nature is not obligated to publish any information or
content on this website and may remove it or features or functionality at our sole discretion, at any time with or without notice. Springer Nature
may revoke this licence to you at any time and remove access to any copies of the Springer Nature journal content which have been saved.
To the fullest extent permitted by law, Springer Nature makes no warranties, representations or guarantees to Users, either express or implied
with respect to the Springer nature journal content and all parties disclaim and waive any implied warranties or warranties imposed by law,
including merchantability or fitness for any particular purpose.
Please note that these rights do not automatically extend to content, data or other material published by Springer Nature that may be licensed
from third parties.
If you would like to use or distribute our Springer Nature journal content to a wider audience or on a regular basis or in any other manner not
expressly permitted by these Terms, please contact Springer Nature at
onlineservice@springernature.com
... PLH for Teens was developed and tested in South Africa through a collaboration between academic institutions, the World Health Organization (WHO), UNICEF, and local nongovernment organisations and is one of the few parenting Table 1 Experimental conditions for a 2 × 2 × 2 factorial trial (N = 16 clusters, two clusters per experimental condition, 80 participants per condition) Component A: "Self-guided" refers to use of the app without any external support; "WhatsApp" refers to use of the app with additional moderated WhatsApp group support; Component B: "Non-sequential" refers to the app version where content is presented in a non-sequential task-based modular format; "Sequential" refers to the app version where content is presented in a time-bound weekly format; Component C: "On" refers to receiving a short, structured digital literacy training at the group onboarding session; "Off" refers to not receiving the digital literacy training programmes that have been developed for and tested with families in LMICs [13]. Since 2012, PLH for Teens has been delivered in 18 countries to over 250,000 families [52], including 40,000 families in Tanzania [53]. ParentApp is open source, non-commercialised, and developed for offline use. ...
Article
Full-text available
Background Violence against adolescents is a universal reality, with severe individual and societal costs. There is a critical need for scalable and effective violence prevention strategies such as parenting programmes, particularly in low- and middle-income countries where rates of maltreatment are highest. Digital interventions may be a scalable and cost-effective alternative to in-person delivery, yet maximising caregiver engagement is a substantial challenge. This trial employs a cluster randomised factorial experiment and a novel mixed-methods analytic approach to assess the effectiveness, cost-effectiveness, and feasibility of intervention components designed to optimise engagement in an open-source parenting app, ParentApp for Teens. The app is based on the evidence-based Parenting for Lifelong Health for Teens programme, developed collaboratively by academic institutions in the Global South and North, the WHO, and UNICEF. Methods/design Sixteen neighbourhoods, i.e., clusters, will be randomised to one of eight experimental conditions which consist of any combination of three components (Support: self-guided/moderated WhatsApp groups; App Design: sequential workshops/non-sequential modules; Digital Literacy Training: on/off). The study will be conducted in low-income communities in Tanzania, targeting socioeconomically vulnerable caregivers of adolescents aged 10 to 17 years (16 clusters, 8 conditions, 640 caregivers, 80 per condition). The primary objective of this trial is to estimate the main effects of the three components on engagement. Secondary objectives are to explore the interactions between components, the effects of the components on caregiver behavioural outcomes, moderators and mediators of programme engagement and impact, and the cost-effectiveness of components. The study will also assess enablers and barriers to engagement qualitatively via interviews with a subset of low, medium, and high engaging participants. We will combine quantitative and qualitative data to develop an optimised ParentApp for Teens delivery package. Discussion This is the first known cluster randomised factorial trial for the optimisation of engagement in a digital parenting intervention in a low- and middle-income country. Findings will be used to inform the evaluation of the optimised app in a subsequent randomised controlled trial. Trial registration Pan African Clinical Trial Registry, PACTR202210657553944. Registered 11 October 2022, https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=24051.
... Similarly, the Parenting for Lifelong Health program for parents and adolescents was developed in rural South Africa and then tested in a cluster randomized controlled trial showing positive effects across a range of family outcomes [20]. Since their initial development in South Africa, PLH programs have been adapted and delivered in over 30 countries [24]. The Care for Child's Healthy Growth and Development (CCD) was developed in 2002 by UNICEF and WHO support caregiver involvement in early child development through responsive nurturing care [19]. ...
Article
Full-text available
Background Despite impressive strides in health, social protection, and education, children continue to experience high rates of child maltreatment in Malaysia. This mixed-methods study assessed the feasibility of a five-session, social learning-based parenting program delivered by government staff in a community setting to reduce violence against children. Methods Parents of children from birth to 17 years were recruited from two communities near Kuala Lumpur to participate in the government-run program called the Naungan Kasih Positive Parenting Program (“Protecting through Love” in Bahasa Melayu). Quantitative data from female caregivers (N = 74) and children ages 10–17 (N = 26) were collected along with qualitative interviews and focus groups with parents, children, and facilitators. The primary outcome was child maltreatment with secondary outcomes including neglect, positive parenting, acceptability of corporal punishment, harsh parenting, positive discipline, and child behavior problems. Multilevel Poisson regression and multilevel linear regression were conducted to compare baseline and post-test outcomes. Qualitative interviews and focus groups examined how participants experienced the program utilizing a thematic analysis approach. Results Quantitative analyses found pre-post reductions in overall child maltreatment, physical abuse, emotional abuse, attitudes supporting corporal punishment, parent sense of inefficacy, and child behavior problems. There were no reported changes on positive and harsh parenting, parental mental health, and marital satisfaction, nor were there any other significant changes reported by children. Qualitative findings suggested that the program had tangible benefits for female caregivers involved in the program, with the benefits extending to their family members. Conclusions This feasibility study is one of the few studies in Southeast Asia that examined the feasibility and initial program impact of a parenting program delivered by government staff to families with children across the developmental spectrum from birth to 17 years. Promising results suggest that the program may reduce child maltreatment across a range of child ages. Findings also indicate areas for program improvement prior to further delivery and testing, including additional training and content on sexual and reproductive health, parenting children with disabilities, and online child protection.
... This research was conducted as part of a project studying the implementation of Parenting for Lifelong Health (PLH), a suite of evidence-informed parenting programmes designed to reduce violence against children and promote positive parenting, including PLH for Young Children (2-9 years), and PLH for Parents and Teens (10-17 years) (for protocol and more information see Shenderovich et al., 2020Shenderovich et al., , 2021. The PLH for Young Children programme is delivered to caregivers, while PLH for Parents and Teens includes both caregivers and adolescents. ...
Article
Full-text available
We explore how organisations working on parenting programmes and other types of family support and violence prevention in low-resource settings experienced the pandemic. In August 2020–May 2021, we interviewed (1) staff from three community-based organisations delivering evidence-informed parenting interventions and other psychosocial services for families in Cape Town, South Africa, (2) staff from a parenting programme training organisation and (3) staff from two international organisations supporting psychosocial services in South Africa. Interviews (22) were thematically analysed, with findings in three areas. First, respondents noted changes in the context, including the job losses, food insecurity, and stress experienced by local communities, and reductions in organisational funding. Second, we found that in response to these context changes, the organisations shifted their focus to food provision and COVID prevention. Parenting and psychosocial programmes were adapted – e.g. by changing the physical delivery settings, reducing group sizes, and taking up digital and phone implementation. Participants reported improved perceptions of remote delivery as a feasible approach for working with families – but internet and phone access remained challenging. Third, the pandemic brought new responsibilities for staff, and both the challenges of working from home and the health risks of in-person work.
... There can be many reasons that successful interventions fail to scale, ranging from what is scaled not being what was tested ('voltage drop': Al-Ubaydli et al., 2017;2019), the absence of necessary and/or sufficient conditions required for success (Cartwright & Hardie, 2012), or poor fidelity overall (see Sarama et al., 2008). What is clear from literature on scaling is that planning for scale early on is needed, acknowledging that successful scaling necessitates (or forces) alterations to interventions: typically simplification, codification, local 'credible' implementers who can run with programmes at a distance, specific implementation research, or strong alignment with existing policy that means changes are small enough to be implemented easily (see Horner et al., 2013;Smith et al., 2015;Hallsworth & Kirkman, 2020;Shenderovich et al., 2020;Bird et al., 2021). 7 ...
... The process of adaptation provides important implications for researchers and practitioners aiming to adapt evidence-based parent trainings for diverse families in research and practice settings. Stirman et al.'s (2013) coding system is widely used in the implementation of evidence-based interventions, particularly the reporting of adaptation post hoc (e.g., Ibañez et al., 2021;Shenderovich et al., 2020). Limited studies reported using the coding system for coding cultural adaptations prior to implementation (e.g., Chlebowski et al., 2020). ...
Article
Full-text available
Asian children with autism are underdiagnosed and underserved compared to White children in the United States. There is a critical need for culturally appropriate interventions addressing these health disparities. The current study aims to present the cultural adaptation process of an empirically supported parent education intervention, “Parents Taking Action” (PTA), for low‐income Chinese immigrant families of young children with autism. Six Chinese immigrant parents of children with autism and six providers serving this population were recruited to participate in two separate focus groups in a US Midwestern city. Focus group data were transcribed and then analyzed using deductive qualitative analysis. Two bilingual researchers coded the data independently using a predeveloped coding list. Parents provided insights on the intervention structure and contextual elements such as cultural stigma against autism while providers put more emphasis on content modification. Parents underscored the benefits of delivering the intervention in group format as opposed to one‐on‐one family visits. This preference for group delivery was based on contextual issues such as feeling isolated from extended family and community members who do not have much knowledge of autism. Parents and providers agreed that it is important to deliver the intervention in community settings instead of clinics to enhance accessibility. As we tested out the predeveloped coding list, we synthesized a process of integrating community input into modifications of the original intervention. To our knowledge, this is the first culturally adapted intervention targeting Chinese immigrant families of young children with autism. The lack of culturally and linguistically appropriate interventions for Chinese immigrant families of children with autism is alarming given the fast growth of this population. The process of culturally adapting “PTA” for Chinese immigrant families of children with autism provides a roadmap on how to translate community input into steps of adaptations.
... Caregivers and adolescents also reported improved positive parenting and parental involvement, and reductions in substance use and poor supervision. There were also significant reductions in parenting stress, mental health problems and the endorsement of corporal punishment, and children and adolescents reported improvements in social support, economic welfare, financial management, and plans to avoid violence.PLH for Teens has subsequently been disseminated throughout sub-Saharan Africa as part of community-wide HIV-prevention programmes.65,72 Moving to digitalDuring COVID-19 when in-person programmes were restricted, Parenting for Lifelong Health began developing digital adaptations of the programmes to increase their reach and enable the programme to continue. ...
Article
Violence against children affects their well-being globally, with a greater burden in low-and middle-income countries (LMICs). This scoping review aimed to summarize the available evidence on parenting programs for reducing violence against children in LMICs and identify knowledge gaps in this area. Six English databases and gray literature were systematically searched to identify studies in LMICs that examined the efficacy of parenting programs to prevent violence against children, before April 15, 2023. A total of 4,183 independent studies were identified, of which 31 met the inclusion criteria. The majority were conducted in Africa and Asia, delivered by trained local community/childcare workers and lay workers, and targeted younger children aged <10 years. Although the core modules varied in terms of number of group sessions and age of the children, the majority emphasized the importance of building a positive relationship with children and nonviolent discipline strategies. The vast majority demonstrated intervention efficacy in reducing general maltreatment and physical and emotional abuse, and improving positive parenting. Ineffective programs for violence tended to be characterized by self-designed programs, small sample sizes, and low corporal punishment levels in the baseline assessment. In conclusion, parenting programs are promising for preventing and reducing the risk factors for violence in LMICs. Future intervention studies should expand to low-income countries outside Eastern Africa with more trials targeting older children, utilizing direct observational assessments, designing core modules relevant to child neglect, involving more male caregivers, and conducting long-term follow-up assessments.
Article
Background: The Parenting for Lifelong Health for Young Children (PLH-YC) programme aims to reduce violence against children and child behaviour problems among families in low- and middle-income countries (LMICs). Although the programme has been tested in four randomised controlled trials and delivered in over 25 countries, there are gaps in understanding regarding the programme's implementation fidelity and, more generally, concerning the implementation fidelity of parenting programmes in LMICs. Aims: This study aims to address these gaps by examining the psychometric properties of the PLH-YC-Facilitator Assessment Tool (FAT) - an observational tool used to measure the competent adherence of PLH-YC facilitators. Examining the psychometric properties of the FAT is important in order to determine whether there is an association between facilitator competent adherence and programme outcomes and, if correlated, to improve facilitator performance. It is also important to develop the implementation literature among parenting interventions in LMICs. Methods: The study examined the content validity, intra-rater reliability, and inter-rater reliability of the FAT. Revision of the tool was based on consultation with programme trainers, experts, and assessors. A training curriculum and assessment manual was created. Assessors were trained in Southeastern Europe and their assessments of facilitator delivery were analysed as part of a large-scale factorial experiment (N=79 facilitators). Results: The content validity process with PLH-YC trainers, experts, and assessors resulted in substantial improvements to the tool. Analyses of percentage agreements and intra-class correlations found that, even with practical challenges, assessments were completed with adequate yet not strong intra- and inter-rater reliability. Conclusions: This study contributes to the literature on the implementation of parenting programmes in LMICs. The study found that the FAT appears to capture its intended constructs and can be used with an acceptable degree of consistency. Further research on the tool's reliability and validity - specifically, its internal consistency, construct validity, and predictive validity - is recommended.
Article
Full-text available
Background Adolescents experience a multitude of vulnerabilities which need to be addressed in order to achieve the Sustainable Development Goals (SDGs). In sub-Saharan Africa, adolescents experience high burden of HIV, violence exposure, poverty, and poor mental and physical health. This study aimed to identify interventions and circumstances associated with three or more targets (“accelerators”) within multiple SDGs relating to HIV-affected adolescents and examine cumulative effects on outcomes. Methods Prospective longitudinal data from 3401 adolescents from randomly selected census enumeration areas in two provinces with > 30% HIV prevalence carried out in 2010/11 and 2011/12 were used to examine six hypothesized accelerators (positive parenting, parental monitoring, free schooling, teacher support, food sufficiency and HIV-negative/asymptomatic caregiver) targeting twelve outcomes across four SDGs, using a multivariate (multiple outcome) path model with correlated outcomes controlling for outcome at baseline and socio-demographics. The study corrected for multiple-hypothesis testing and tested measurement invariance across sex. Percentage predicted probabilities of occurrence of the outcome in the presence of the significant accelerators were also calculated. Results Sample mean age was 13.7 years at baseline, 56.6% were female. Positive parenting, parental monitoring, food sufficiency and AIDS-free caregiver were variously associated with reductions on ten outcomes. The model was gender invariant. AIDS-free caregiver was associated with the largest reductions. Combinations of accelerators resulted in a percentage reduction of risk of up to 40%. Conclusion Positive parenting, parental monitoring, food sufficiency and AIDS-free caregivers by themselves and in combination improve adolescent outcomes across ten SDG targets. These could translate to the corresponding real-world interventions parenting programmes, cash transfers and universal access to antiretroviral treatment, which when provided together, may help governments in sub-Saharan Africa more economically to reach their SDG targets.
Article
Full-text available
Parent-mediated interventions (PMIs) are commonly used with children with autism spectrum disorder (ASD), and their effectiveness for young children has been documented. However, no reviews have examined the use of PMIs with older children with ASD. Therefore, the purpose of this review is to investigate the state of the literature regarding PMIs for school-age children with ASD and to evaluate their effectiveness across domains. Eighteen studies of PMIs examining 170 child participants with ASD were included. Participants, interventions, and the effects of the interventions are described. Overall, studies demonstrated moderately positive effects for PMIs for school-age children with ASD. Group design studies demonstrated an overall effect size (ES) of 0.79, 95% confidence interval (CI) = [0.50, 1.09], while single-case design (SCD) studies yielded an overall ES of 1.84, 95% CI = [1.08, 2.60]. More research is needed to understand the differential effectiveness of parent training components, and future research should focus on including measures of parent treatment integrity, to aid in the understanding of program efficacy.
Article
Full-text available
Ideally, an implementation framework, or multiple frameworks should be used prior to and throughout an implementation effort. This includes both in implementation science research studies and in real-world implementation projects. To guide this application, outlined are ten recommendations for using implementation frameworks across the implementation process.
Article
Full-text available
Millions of children in China are diagnosed with developmental disabilities (DD), many of whom are subject to physical abuse. While a significant body of research suggests that parenting interventions can reduce the incidence and risk of such abuse, there is currently limited evidence of their effectiveness for this population or from non-English-speaking countries. This review involved searches in both English and Chinese databases to identify randomized controlled trials and quasi-experimental studies of parenting interventions for families of children with DD in mainland China. Multilevel meta-analyses were undertaken to examine the effectiveness of parenting programs. Subgroup analyses and meta-regression were conducted to investigate heterogeneity and identify potential moderators with a focus on intervention and delivery components. Risk of bias was assessed for each study. Thirty-one studies were included. The results showed that parenting interventions could reduce child emotional and behavioral problems (CEBP) and improve the parent–child relationship, although only one study directly measured the actual incidence of abuse. Programs for autism and epilepsy had stronger treatment effects. Teaching knowledge about CEBP, skills to improve parental mental health, and techniques to cultivate empathy were associated with program success; however, positive reinforcement was associated with more problems. The results also supported the delivery of programs with longer duration, a combination of group and individual sessions, efforts to build rapport, ongoing communication outside the programs, and delivery in hospitals or service agencies. Further research is needed, however, in addition to improvements in the quality of research and reporting.
Article
Full-text available
Supporting parents to meet the challenges of their caregiving role is identified as a public health concern and a priority in policies internationally. Quantitative research has established the efficacy of parenting programmes but less is understood about the key aspects that make interventions meaningful and helpful to families. We aimed to explore parents’ experiences and perceptions of parenting programmes in order to highlight the parent voice and identify key factors that parents perceive to be meaningful and improve our understanding of the acceptability and perceived benefits of parenting programmes. Six key electronic databases were searched systematically for qualitative research and eligibility for inclusion was established. A thematic synthesis was undertaken. Twenty-six studies were included, spanning 17 years of parenting research and involving 822 parents. Three main themes and nine subthemes were identified: (1) a family’s journey (prior to the parenting programme, outcomes (including changes in the parent, child and wider family) and post-intervention), (2) aspects perceived to be important or valuable (group leader or facilitator, programme content and delivery and value of the group) and (3) challenges or difficulties (barriers to engagement or attendance, programme content and suggestions for improvement). Reported outcomes of parenting programmes included changes in the parent alongside changes in the child and family more widely. Key recommendations to improve provision of accessible, clinically and cost-effective interventions for parents include ensuring high-quality training and supervision of facilitators, balancing flexibility and fidelity to ensure tailored content to meet individual needs, a sensitivity to parental adversity, the need for wider familial support and the availability of ongoing support following the end of a parenting programme.
Article
Full-text available
Background Parenting programs suitable for delivery at scale in low‐resource contexts are urgently needed. We conducted a randomized trial of Parenting for Lifelong Health (PLH) for Young Children, a low‐cost 12‐session program designed to increase positive parenting and reduce harsh parenting and conduct problems in children aged 2–9. Methods Two hundred and ninety‐six caregivers, whose children showed clinical levels of conduct problems (Eyberg Child Behavior Inventory Problem Score, >15), were randomly assigned using a 1:1 ratio to intervention or control groups. At t0, and at 4–5 months (t1) and 17 months (t2) after randomization, research assistants blind to group assignment assessed (through caregiver self‐report and structured observation) 11 primary outcomes: positive parenting, harsh parenting, and child behavior; four secondary outcomes: parenting stress, caregiver depression, poor monitoring/supervision, and social support. Trial registration: ClinicalTrials.gov (NCT02165371); Pan African Clinical Trial Registry (PACTR201402000755243); Violence Prevention Trials Register (http://www.preventviolence.info/Trials?ID=24). Results Caregivers attended on average 8.4 sessions. After adjustment for 30 comparisons, strongest results were as follows: at t1, frequency of self‐reported positive parenting strategies (10% higher in the intervention group, p = .003), observed positive parenting (39% higher in the intervention group, p = .003), and observed positive child behavior (11% higher in the intervention group, p = .003); at t2, both observed positive parenting and observed positive child behavior were higher in the intervention group (24%, p = .003; and 17%, p = .003, respectively). Results with p‐values < .05 prior to adjustment were as follows: At t1, the intervention group self‐reported 11% fewer child problem behaviors, 20% fewer problems with implementing positive parenting strategies, and less physical and psychological discipline (28% and 14% less, respectively). There were indications that caregivers reported 20% less depression but 7% more parenting stress at t1. Group differences were nonsignificant for observed negative child behavior, and caregiver‐reported child behavior, poor monitoring or supervision, and caregiver social support. Conclusions PLH for Young Children shows promise for increasing positive parenting and reducing harsh parenting.
Article
Full-text available
Background Designing implementation research can be a complex and daunting task, especially for applied health researchers who have not received specialist training in implementation science. We developed the Implementation Science Research Development (ImpRes) tool and supplementary guide to address this challenge and provide researchers with a systematic approach to designing implementation research. Methods A multi-method and multi-stage approach was employed. An international, multidisciplinary expert panel engaged in an iterative brainstorming and consensus-building process to generate core domains of the ImpRes tool, representing core implementation science principles and concepts that researchers should consider when designing implementation research. Simultaneously, an iterative process of reviewing the literature and expert input informed the development and content of the tool. Once consensus had been reached, specialist expert input was sought on involving and engaging patients/service users; and economic evaluation. ImpRes was then applied to 15 implementation and improvement science projects across the National Institute of Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London, a research organisation in London, UK. Researchers who applied the ImpRes tool completed an 11-item questionnaire evaluating its structure, content and usefulness. Results Consensus was reached on ten implementation science domains to be considered when designing implementation research. These include implementation theories, frameworks and models, determinants of implementation, implementation strategies, implementation outcomes and unintended consequences. Researchers who used the ImpRes tool found it useful for identifying project areas where implementation science is lacking (median 5/5, IQR 4–5) and for improving the quality of implementation research (median 4/5, IQR 4–5) and agreed that it contained the key components that should be considered when designing implementation research (median 4/5, IQR 4–4). Qualitative feedback from researchers who applied the ImpRes tool indicated that a supplementary guide was needed to facilitate use of the tool. Conclusions We have developed a feasible and acceptable tool, and supplementary guide, to facilitate consideration and incorporation of core principles and concepts of implementation science in applied health implementation research. Future research is needed to establish whether application of the tool and guide has an effect on the quality of implementation research.
Article
Full-text available
Background: A lack of specialists, and insufficient infrastructure and funding to scale early interventions for autism spectrum disorder (ASD) characterize low-resource settings. Integration of early intervention methods that utilize non-specialists, and involve caregivers, into existing systems of care, offers the best hope to address such unmet needs. In South Africa, a caregiver coaching intervention, informed by principles of the Early Start Denver Model (ESDM) was adapted for delivery by non-specialist Early Childhood Development (ECD) practitioners. This study explored perceived barriers and facilitators to sustainable implementation of this approach. Methods: Nine stakeholders including caregivers, ECD practitioners, ECD school supervisors, and certified South African ESDM therapists involved in intervention implementation were purposively sampled, and individual in-depth interviews were conducted. Interviews were transcribed verbatim and thematically analyzed. Results: Implementation facilitators included: ECD practitioner ASD knowledge and ongoing supervision; a positive coaching experience; and clear illustration of intervention concepts. Implementation barriers included: complexity of some intervention and coaching concepts; logistical challenges such as time constraints and internet access; and mismatch between video content and the South African context. Facilitators to sustain the intervention included perceived positive child and caregiver outcomes; and ongoing supervision. Barriers to sustain the intervention included socio-economic contextual factors. Conclusions: In spite of the potential for positive child and caregiver outcomes from caregiver coaching, broader contextual and system-level issues such as poverty, the need for ongoing supervision, and access to local coaching materials in South African languages, may challenge sustainable implementation. Findings from this study will inform tailoring of the intervention training and supervision approach for next step evaluation. Keywords: Autism spectrum disorder (ASD); South Africa; early intervention; caregiver coaching Received: 11 April 2019; Accepted: 11 July 2019; Published: 08 August 2019. doi: 10.21037/pm.2019.07.08
Article
Purpose This study investigated process and outcomes of the Parenting for Lifelong Health (PLH) for Young Children and for Adolescents programs implemented as part of routine service delivery in postconflict settings. Methods These group-based programs were delivered by trained facilitators to 97 caregivers (PLH for Young Children) and 108 caregiver–adolescent dyads (PLH for Adolescents) over 12 or 14 (respectively) weekly sessions. Routine monitoring data were collected by the implementing partners using standardized self-report measures. Reducing harsh discipline was specified as the primary outcome, with secondary outcomes including improvements in positive parenting and reductions in poor parental supervision and parental inefficacy. Results Analyses were intention to treat. Both PLH programs retained effectiveness in routine conditions in a postwar setting, with moderate to large effect sizes. The programs also had high enrollment and attendance rates, indicating high acceptability. Conclusions Findings suggest promising viability for the implementation of evidence-based parenting programs in challenging postconflict contexts.