Dugleetal. Systematic Reviews (2023) 12:199
https://doi.org/10.1186/s13643-023-02366-3
PROTOCOL
Peer support interventions inmaternal
andchild healthcare delivery insub-Saharan
Africa: protocol forarealist review
Gordon Dugle1, John Antwi2 and Wilm Quentin3,4*
Abstract
Background Peer support has been proposed as a promising policy intervention for addressing adverse maternal
and child healthcare (MCH) outcomes in sub-Saharan Africa (SSA). Existing reviews on peer support largely draw
on evidence from high-income countries or focus on single services like breastfeeding, nutrition or postnatal care.
In contrast, this review aims to provide a comprehensive overview of the empirical literature on peer support inter-
ventions across various MCH services in sub-Saharan Africa. Specifically, we aim to understand how, why, for whom,
and in what circumstances different forms of MCH peer support interventions contribute to improving healthcare
outcomes in sub-Saharan Africa.
Methods This review follows five iterative steps for undertaking realist reviews (1) defining the review scope; (2)
developing initial programme theories; (3) searching for evidence; (4) selecting and appraising evidence; and (5)
extracting, analysing and synthesising evidence. Four databases–Cochrane Library, PubMed, CINAHL, and EMBASE–
were repeatedly searched between March and June 2021. From a large volume of records retrieved from the database
and citation search, 61 papers have been selected for review. We will conduct a second search of the same database
covering June 2021 to the present before the final extraction and synthesis. The final list of selected papers will be
imported into NVivo 12 software and organised, extracted, analysed and synthesised iteratively to examine and illus-
trate the causal links between contexts, mechanisms and outcomes of MCH peer support interventions in SSA. We
have drawn on the existing literature on peer support in healthcare generally to develop initial programme theories.
We will then use the empirical literature on MCH peer support interventions in SSA, inputs from a stakeholders’ work-
shop in Ghana and a conference presentation to refine the initial programme theory.
Discussion The review will develop an explicit theory of peer support intervention in healthcare delivery and pro-
vide insights for developing evidence-informed policy on the intervention. Drawing lessons from the different
national contexts and diverse areas of MCH in SSA, the review will provide an analytically generalizable programme
theory that can guide intervention design and implementation. While focusing on MCH peer support interventions
in SSA, the review contributes to evolving conversations on the use of theory for health policy planning and complex
intervention design and implementation globally.
Trial registration PROSPERO registration ID: CRD42 02342 7751.
Keywords Peer support, Maternal and child healthcare, Realist review, Complex intervention, Sub-Saharan Africa
Open Access
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Systematic Reviews
*Correspondence:
Wilm Quentin
Full list of author information is available at the end of the article
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Dugleetal. Systematic Reviews (2023) 12:199
Background
Adverse outcomes in maternal and child healthcare
(MCH) remain critical national and global health pri-
orities. Although most developed countries have made
significant progress in MCH over the last two decades,
much of the world’s adverse outcomes occur in Sub-Saha-
ran Africa (SSA). Progress reports on the Millennium
Development Goals (MDGs) and Sustainable Develop-
ment Goals (SDGs) have consistently pointed to persis-
tent adverse outcomes in SSA [1–4]. For instance, the
World Health Organization (WHO) estimates that about
66% of the world’s maternal deaths occur in SSA [3], and
under-five mortality in 2020 was twice as high in SSA (72
deaths per 1000 live births) than the global average [5].
Peer support has emerged as a policy intervention for
promoting effective and sustainable MCH delivery over
the last two decades. Peer support broadly refers to ongo-
ing social and practical assistance provided by non-pro-
fessionals to help people manage their health conditions,
respond to particular healthcare needs, and/or contribute
to overall well-being. It includes recurring interactions
between people such as family members, neighbours,
friends, or other associates but excludes incidental inter-
actions and formal relationships like contacts between
patients and service providers [6, 7]. Policy-makers and
scholars have suggested that peer support is a promising
intervention for promoting physical, mental and social
well-being [8, 9].
Various peer support programmes in SSA have
emerged to address maternal, newborn and child health-
care gaps. Examples include the Kenyan Mentor Mother
Programme established in 2012 as part of the country’s
national strategy for preventing mother-to-child trans-
mission of HIV and syphilis. In addition, the mothers-
2mothers (M2M) programme, which started in South
Africa in 2001, has quickly expanded to nine other SSA
countries (namely, Angola, Ghana, Lesotho, Kenya,
Malawi, Mozambique, Tanzania, Uganda and Zambia).
M2M uses women living with HIV as social support
and mentors to help HIV-positive pregnant women stay
healthy and prevent mother-to-child transmissions.
While policy and scholarly interests in peer support
in MCH are growing, there is less clarity on how, why,
for whom, and in what circumstances peer support is
effective (or not). Existing reviews on the effect of peer
support in specific MCH areas like nutrition [10], breast-
feeding [11–13], and postnatal care [14] have focused
exclusively on high-income countries. Reviews that have
included evidence from low- and middle-income coun-
tries have only evaluated the effect of peer support on
(exclusive) breastfeeding [15–17]. However, MCH com-
prises a wide range of services for promoting health and
avoiding morbidity and mortality of mothers (women of
childbearing age), infants, children and adolescents [18].
It ranges from antenatal care for mothers and growth
monitoring in children to sexual education for adoles-
cents. Yet, no review has explored peer support across
this diverse set of MCH services (e.g., breastfeeding,
family planning, antenatal care and postnatal care). This
limits our understanding of the processes by which peer
support for different MCH services improves delivery
outcomes across a range of national and local conditions.
Recent discussions in research and policy circles
acknowledge that peer support interventions are con-
text-bound programmes as they vary in terms of design,
scope of activities and the broader social structures
within which they are developed and implemented [8, 9,
14]. This understanding of peer support interventions as
context-bound aligns closely with the realists’ position
that interventions will work in certain contexts but not in
others [11, 19]. Accordingly, we aim to undertake a realist
review to examine and illustrate how, why, for whom, and
in what circumstances different forms of peer support
interventions contribute to improving MCH outcomes in
SSA.
The review is intended as an initial step towards a
transdisciplinary research project on developing, imple-
menting and evaluating health-related peer support
interventions. The project–still at a conceptual stage–
aims to foster transformational advances in the gen-
eration and use of research and evidence to inform the
development and implementation of peer support inter-
ventions in healthcare across national, regional and
global levels. The project will be led by this review team
together with other academics and practitioners from
diverse disciplinary backgrounds involved in developing
and implementing peer support interventions in health-
care. The findings of this review will inform the next
stage of the project.
Methods
Realist review
Realist review or synthesis (used here interchangeably)
is a theory-driven method of synthesising evidence and
is rooted in the realist philosophy [20–22]. Conduct-
ing a realist review of evidence about a phenomenon
(in this case MCH peer support interventions in SSA)
involves addressing the general question: ‘What works
for whom in what circumstances and in what respects,
and how?’ [23]. Proponents of realist review argue that
traditional methods of review often focus on examining
the effectiveness of interventions (i.e., whether inter-
ventions work or not) without developing our under-
standing of how, why, and when they work (or not) [22,
24]. The realist review method fills this gap by applying
a configurational lens to develop an explanatory theory
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of how, why, for whom, and in what circumstances
interventions work [21, 22, 25]. It lends itself to a con-
text (c) + mechanism (M) = outcome (O) configuration
heuristic for explaning causation [21, 22]. While other
forms of reviews may examine the context, mechanism
and outcome elements of interventions in isolation,
arealist synthesis applies configurational thinking to
explore their interface [22].
Realist review is underpinned by the idea that pro-
grammes or interventions are theories [22, 26, 27]. The
configurational approach used by realists enables a more
reflexive and iterative examination and illustration of
programme theories underlying complex interventions
[27–29]. Therefore, the unit of analysis in realist reviews
is programme theory, but a C + M = O configuration heu-
ristic is commonly applied to guide data analyses and
syntheses. This means that evidence is analysed and syn-
thesised to produce causal explanations for why, how, for
whom and in what circumstances outcomes come about.
Thus, realist reviews are configurational evidence synthe-
ses as opposed to the aggregative nature of synthesis in
conventional systematic reviews. This review follows five
iterative steps recommended by various realist scholars:
(1) defining the review scope; (2) developing initial pro-
gramme theories; (3) searching for evidence; (4) select-
ing and appraising evidence; and (5) extracting, analysing
and synthesising evidence [21, 22, 26, 30, 31].
Defining thereview scope
We first conducted a preliminary search of the litera-
ture with the aim of obtaining an overview of the litera-
ture on peer support in healthcare broadly and MCH
in particular. We reviewed two categories of evidence
retrieved from Google Scholar in March 2021: (1) empir-
ical papers published between 2020 and 2021; and (2)
review/conceptual papers published anytime. We used
the search theme ‘peer support in healthcare’. The search
was informal and not based on structured selection cri-
teria as we aimed to undertake an exploratory review of
the literature on peer support in healthcare. We progres-
sively reviewed the most current and conceptual papers
retrieved to understand the range of candidate theories of
peer support in healthcare broadly and develop a frame-
work for our substantive review. The preliminary search
guided our substantive review in the following ways: (1)
defining the review questions and scope; (2) identifying
initial (candidate) programme theories; (3) developing
a literature search, appraisal and selection strategy for
the substantive review; and (4) conceptualising the data
extraction and synthesis framework. The realist review
questions that emerged from the preliminary search
were:
(1) What are the causal mechanisms (‘why?’) that
explain the effects of peer support interventions on
MCH outcomes in SSA?
(2) How do the characteristics of peers and interven-
tion target group (‘for whom’) influence these mech-
anisms and resulting outcomes?
(3) What is the influence of contextual factors (‘what
circumstances’) on these mechanisms?
We draw on Pratley’s concept of MCH as encompass-
ing ‘care utilization (obstetric care, ante- and/or perinatal
care, delivery in a health facility), reproductive behav-
iours (utilization of modern contraceptives, birth spac-
ing and ideal family size and/or number of children),
women’s health outcomes (anaemia, nutritional status
and exposure to violence) and child health outcomes
(nutritional status, diarrhoea, immunization status and
lower respiratory infections)’ [32]. We look at the physi-
cal, mental and social well-being of mothers and chil-
dren across the wide range of promotive, preventive,
curative, rehabilitative and palliative health services they
need [33]. This aligns with the broad range of indicators
contained in the United Nation’s SDGs 3.1 and 3.2 that
serve as measures of improvements in maternal and child
health outcomes by 2030.
We operationalise context, mechanism and outcomes
in this review as follows. Context here refers to the sali-
ent conditions within which peer support interventions
in MCH in SSA are embedded. We analyse contexts at
two levels: micro and macro. We consider the micro con-
text as the characteristics of peers and intervention target
groups, such as their demographic structures and norms.
We consider the macro context as the broader institu-
tional structure (environment) within which the groups
and interventions operate. Examples include the wider
national health policy and socio-cultural settings of spe-
cific groups and their interventions. Analysing the micro
and macro contexts enables us to distil specific features
of individual interventions alongside broader political,
social, cultural and economic factors in different coun-
tries. We suggest that doing so allows the generation of
findings, conclusions and recommendations that have
both theoretical and practical implications beyond the
SSA setting.
Given that realist research ‘begins with the researcher
positing the potential processes through which a pro-
gramme may work as a prelude to testing them’ [23],
mechanism is considered the pivot around which real-
ist research revolves [22, 26]. We use mechanisms here
in relation to the underlying processes or ways by which
peer support interventions bring about intended/unin-
tended outcomes in maternal and child healthcare in
SSA [21, 23, 24]. We examine and illustrate how and why
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various mechanisms are indicative of outcome patterns
across different MCH services (e.g., breastfeeding, fam-
ily planning, antenatal care and postnatal care) and SSA
countries.
A fundamental feature of a realist synthesis is that ‘it is
able to explain the complex signature of outcomes’ [23].
As discussed above, peer support groups naturally oper-
ate in different contexts and are underpinned by varied
mechanisms. This suggests that the patterns of outcomes
characterising different interventions may vary according
to their underlying contexts and mechanisms. In health
policy analysis, outcomes represent improvements,
changes or impacts for targeted individuals, groups or
populations attributable to the intervention under study
[32, 34, 35]. In this review, we refer to outcomes as the
intended and unintended results or impacts of peer sup-
port interventions. Specifically, we examine the nature
and form of outcomes that different interventions gener-
ate at two levels: organisational and societal. By organi-
sational level outcomes, we look at the improvements
in the capacity and functionality of national health sys-
tems and healthcare organisations/providers to deliver
MCH attributable to the intervention. We conceptualise
societal-level outcomes to include the intended and unin-
tended impacts of MCH peer support interventions for
targeted individuals and groups or populations.
Developing initial programme theories
Realist reviews often involve identifying initial (candi-
date) theories that potentially explain the CMO con-
figuration of the intervention under study. They then
proceed to ‘interrogate the existing evidence to find out
whether and where these theories are pertinent and pro-
ductive’ [21]. A programme theory is an overarching
framework of how interventions are expected to work
and what outcomes they are anticipated to create [22,
23]. The sources for eliciting initial programme theories
are varied, namely, ‘documents, programme architects,
practitioners, previous evaluation studies and social
science literature’ [23]. Programme theories are often
unique to individual settings or interventions contain-
ing well-defined metrics of outcomes against which the
programme could be evaluated [23]. However, the inter-
vention under review in this article falls into this category
as it involves peer support across different areas of MCH
within the diverse national/local social structures of SSA
countries. In such complex realist research contexts, the
initial programme theory can be one that is rooted in the
theoretical literature [30, 36, 37]. Pawson and Tilley refer
to this approach to elicitation of initial programme the-
ory as drawing on ‘substantive theory’ [23].
Drawing on the understanding that substantive theories
represent ‘well-established theories within a particular
field that help to explain why things happen the way they
do’ [38], we based our elicitation of initial programme
theories from our exploratory review of the broader lit-
erature on peer support. While exploring the literature
on peer support in healthcare retrieved through a Google
Scholar search conducted in March 2021 (see further
explanation in “Defining the review scope” section), we
paid attention to how scholars have attempted to hypoth-
esise the realist question of ‘What works for whom in
what circumstances and in what respects, and how?’ [23]
(i.e., CMO configurations) in the broader discussion of
peer support as interventions in healthcare contexts. We
found two overarching programme theories with poten-
tial explanatory value for MCH peer support interven-
tions in SSA: social support and resource-based theories.
Figure1 shows the hypothesised CMO configurations of
these initial programme theories.
Social support theory is perhaps the most domi-
nant programme theory of how peer support interven-
tions are thought to promote improvement in health
outcomes. The underlying principles of social support
theory centre on the availability of social relationships
for promoting health and well-being among people and
communities [39–41]. This is implicit in both conceptual
[10–14, 42] and empirical [43–46] literature on peer sup-
port in healthcare. Scholars frequently link peer support
in healthcare to improved health and well-being attain-
able through four main mechanisms, namely, emotional,
instrumental, appraisal and informational supportive
functions [8, 40]. For example, peer support interven-
tions are thought to promote emotional health through
acceptance, encouragement and compassion [11, 47],
instrumental support like financial assistance [8, 40],
and informational support including the sharing of use-
ful guidance and advice that facilitate healthy behaviours
such as the appropriate use of drugs [6, 45].
The hypothesis is that peer support promotes health
and well-being (outcome) through emotional, instru-
mental, appraisal and informational supportive functions
(mechanisms). The fundamental context underlying this
hypothesis is the availability of social support established
by health policy and local community social structures.
The hypothetical view is that the availability of peer sup-
port is sufficient for improved health and well-being to
happen. This relates closely to the Ubuntu philosophy
of Africa. Ubuntu is an African philosophy or ethic that
views and approaches life and all its social dimensions
like MCH, more as shared rather than individualistic
citizenship [48–50]. Our focus on SSA, therefore, reveals
an interesting opportunity to examine whether/how the
prevalence of peer support may be shaped by indigenous
socio-cultural contexts like the Ubuntu philosophy. This
enables us to explore a quality dimension of the social
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support hypothesis. For instance, what contexts and
mechanisms are most positive in promoting the health
and well-being of mothers and children? As we highlight
in “Defining the review scope” section, addressing this
question requires exploring multiple dimensions of con-
texts (across micro and macro levels) and mechanisms
(component interventions and sequence of steps).
The literature also reveals a resource-based theory
of peer support in healthcare. For instance, Kåks and
Målqvist [14] suggest that peer support interventions
in high-income countries are complementary pathways
to bridging access and coverage gaps. The overall view
is that due to financial and human resource constraints,
policy-makers and state-led healthcare organisations
are increasingly integrating peer support groups into
national health policy and service delivery programmes
[11, 42]. Accordingly, the use of peer support groups in
health service delivery helps to save governments the cost
of wages and compensation that would be required to
employ skilled health personnel. Additionally, peer sup-
port groups are seen as resources for filling staffing gaps
in health service delivery [13, 42, 51, 52]. It is argued that
the growing turnover of skilled health workforce globally
presents peer support as a complementary source of lay/
voluntary human resources for various health services
[12, 13, 45]. Therefore, the hypothesis is that the integra-
tion of peer support interventions into national health
policy and practice (mechanism) is considered to provide
complementary financial and human resources needed
to address delivery gaps (outcome) arising from resource
constraints on governments and health systems (context).
The above hypothesis resonates with resource-based
theories about the possession, utilisation and exchange
of resources in classical economics [53, 54], management
studies [55, 56], social psychology [57, 58] and sociology
literature [59, 60]. Broadly, the resource-based theory
in management studies and the social sciences gener-
ally proposes that firms engage in resource dependence,
exchange or complementarity because they lack the
needed resources to grow and become competitive [61,
62]. Given persistently limited budgetary allocations for
health services and general fiscal constraints in SSA [63],
critical analyses of emerging evidence on peer support
interventions are needed to enhance our understanding
of operational questions on (1) how to effectively inte-
grate peer support resources into mainstream national
health systems; (2) how to adapt the integration to local
health priorities, given differences in social contexts
within countries; and (3) how to sustain the integration.
This exploratory theorising is intended to highlight
candidate programme theories that will be expanded
during the iterative cycle of theory generation and refine-
ment. Findings from the empirical review, brainstorming
by the review team (via virtual meetings, phone calls and
email discussions, stakeholders workshop with experts
and practitioners and insights from a conference presen-
tation (see “Refining the initial programme theory” sec-
tion) will be used to refine the initial programme theory.
By drawing on substantive theory to elicit our initial pro-
gramme theory, the refined theory underlying MCH peer
support interventions in SSA can be transferable to other
health services or geographic settings.
Searching forevidence
Following the preliminary search described in “Defin-
ing the review scope” section, we purposively con-
ducted a database search for relevant studies using a
three-heading search criterion: (1) mechanism–peer
Fig. 1 Initial programme theories of MCH peer support interventions
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Dugleetal. Systematic Reviews (2023) 12:199
support; (2) context–sub-Saharan Africa; and (3)
outcome–maternal and child healthcare. Four data-
bases–Cochrane Library, PubMed, CINAHL, and
EMBASE–were searched between 10th March and 3rd
June 2021. The search strategy involved various com-
binations of terms related to the three-heading search
criterion. Search entries and word truncations were
based on the requirements of each database (see Addi-
tional file1 for the search entries and outputs of each
database). The search was limited to studies published
in the English language.
The initial search generated a large volume of
records. We also manually searched the reference lists
of the studies selected for inclusion and some identi-
fied systematic review papers for additional evidence.
We used the Preferred Reporting Items for Systematic
Reviews and Meta-Analysis (PRISMA) flowchart to
depict the number of records identified, included and
excluded (see Fig.2). In fulfilment of requirements to
address the development of review protocols, we have
attached a PRISMA-P checklist in Additional file 2.
We will conduct a second search covering June 2021
to the present using the procedure described above
before the final extraction and synthesis.
Selecting andappraising evidence
We followed iterative steps to filter and appraise the evi-
dence generated from the search so far, as summarised
in Fig.2. First, GD imported records from the database
search into Endnote × 9 reference management software.
Then, he removed duplicates using the software’s ‘find
duplicates’ tool. Second, to ensure consistency, only GD
screened the remaining records according to the inclu-
sion and exclusion criteria. Following discussions within
the review team, we considered only peer-reviewed arti-
cles on primary studies for inclusion in the review. There
were no restrictions on the type of research design and
publication date. GD manually screened 19,166 titles
and excluded papers that were either not healthcare-
related (10,979 titles) or were grey literature (2,012) such
as blogs, conference presentations, dissertations, gov-
ernment documents and reports of ongoing interven-
tions. Subsequently, the remaining 6175 abstracts were
screened and records removed that were conceptual/
review articles (60 titles), were conducted in other set-
tings than SSA (5,701 titles) or did not focus on MCH
(343 titles).
At the full-text screening stage, 13 articles were
removed, including study protocols (9) and reports of
ongoing MCH peer support projects (3) (see Additional
Fig. 2 PRISMA flow diagram of literature search and appraisal process
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Dugleetal. Systematic Reviews (2023) 12:199
file3 for the list of screened studies). GD then applied the
‘relevance criteria’ recommended for realist review. Rel-
evance thinking draws on the idea that the review team
may limit their inclusion/ exclusion criteria to evidence
containing data that is of use to the programme theory
under development [25, 64, 65]. In traditional system-
atic reviews, researchers evaluate the quality of identified
studies using structured appraisal tools like Evidence-
Based Management guidelines, the Cochrane risk-of-
bias tool and the Quality Appraisal of Reliability Studies
checklist. A fundamental limitation of such a one-size-
fits-all approach is the potential to exclude relevant evi-
dence [66]. Through discussions within the review team,
we agreed on the final list of selected studies based on
two assessment questions: ‘Does the research address the
theory under test?’ [22] and ‘Is this study good enough to
provide evidence that will contribute to the synthesis?’
[25]. All 61 papers selected from the first search were
found to be relevant. We will apply the same selection
criteria in our planned second search.
Extracting, analysing andsynthesising evidence
Data extraction andinitial coding
The extraction and synthesis of our final set of selected
studies will be conducted in an iterative process
described below. Two reviewers (GD and JA) will inde-
pendently read and code the data. To ensure consistency,
JA will concentrate on extracting a range of the study
characteristics of the selected articles using a predesigned
Microsoft Excel spreadsheet. This includes authorship,
publication date, study setting, scope, aims, design and
methods. GD will import papers selected for the review
into the NVivo 12 software and then undertake repeated
and close reading of the papers to code the data.
To develop an in-depth understanding of the differ-
ent categories of contexts, mechanisms and outcomes,
data will be coded under three parent nodes: context,
mechanism and outcome. Child nodes (themes) under
each parent note will be the basic categories of the con-
texts, mechanisms and outcomes across different MCH
services and SSA countries. This enables us to develop
an overview of the lists of contexts, mechanisms and
outcomes reported in the empirical literature selected
for review. In line with our realist lens, coding from the
onset will be based on keywords, metaphors and lines
of reasoning that address the review questions [67]. This
involves close reading of the full text to identify themes
from codes and realign emergent themes as the extrac-
tion progresses using the node hierarchies in NVivo (i.e.,
‘parent’ and ‘child’ nodes). At the end of the data extrac-
tion and coding, a codebook will be generated, which will
be reviewed independently by all members of the review
team to ensure patterns occurring in the data are not
missed.
Elicitation ofCMO configurations andprogramme theory
Realist reviewers use retroduction to formulate CMO
configurations and elicit programme theories. ‘Retroduc-
tion refers to the identification of hidden causal forces
that lie behind identified patterns or changes in those
patterns’ [68]. The fundamental question guiding realist
reviewers’ elicitation of CMO configurations and pro-
gramme theories is about the causal powers of the inter-
vention within the given contexts in which it is developed
and implemented. In this case, how is it that peer support
intervention for different MCH services can produce
observable outcomes in given conditions? Elicitation of
CMO configurations and programme theories will be
based on our three specific review questions:
(1) What are the causal mechanisms (‘why?’) that
explain the effects of peer support interventions on
MCH outcomes in SSA?
(2) How do the characteristics of peers and interven-
tion target group (‘for whom’) influence these mech-
anisms and resulting outcomes?
(3) What is the influence of contextual factors (‘what
circumstances’) on these mechanisms?
Memo writing is considered an effective tool for care-
fully constructing theoretical arguments in realist
research [69, 70]. ‘Memos are informal analytic notes
about the data and the theoretical connections between
categories [in this case context-mechanism-outcome]’
[71]. They represent the researchers’ thoughts and inter-
pretations of the developing theory [67]. During this ini-
tial coding, GD will write memos to document ideas and
thoughts on the CMO configurations and programme
theories emerging from the evidence. This will involve
annotating and taking notes of observed configurations
and their underlying programme theories and examples
of the contexts, mechanisms and outcomes illustrat-
ing them. Memo writing will follow an iterative process
as the data analysis proceeds; initial ideas and thoughts
of CMO configurations and programme theories will be
revised as new patterns and insights emerge from further
analysis of the evidence.
A memo will be written for every observable CMO
configuration and its underlying programme theory
found in the data. The memos will define the specific
outcomes of MCH peer support interventions and the
contexts and mechanisms driving them. Each observ-
able CMO configuration will then be linked to the rel-
evant initial programme theory defined in “Developing
initial programme theories” section. If the configuration
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projects a new programme theory, the memo will high-
light how this potentially provides grounds for refuting
or refining the initial programme theories. Each memo
will be linked to the source document(s) informing its
development to allow other members of the review team
to check.
The codebook generated alongside the memos written
during the initial coding of data will be independently
reviewed by the review team members. We will then hold
several rounds of discussions to brainstorm and agree on
the CMO configuration themes and related programme
theories, which will be further refined through the steps
detailed in “Refining the initial programme theory” sec-
tion. The discussions leading to the development of CMO
configuration themes and related programme theories
will pay attention to projecting a constant comparative
analysis of the generative causality between the different
MCH services and national settings.
Refining theinitial programme theory
Realist scholars believe that the question about the causal
powers of interventions within given contexts cannot be
adequately addressed by using only observable evidence
[68, 72]. We will combine the views and experiences of
practitioners and the interpretations and expertise of
scholars to cross-examine, support, refute, or refine
CMO configurations and programme theories emerg-
ing from the evidence reviewed [27, 72]. This approach
aligns with the realists’ view that establishing multiple
sources of reasoning to develop programme theories–
such as intervention elements, participant responses,
interpretation of the original researcher or interpreta-
tion of reviewers–is crucial for demonstrating theoretical
relevance and rigour [22, 28]. Specifically, we will refine
the initial programme theories and their take-up in the
reviewed literature through three steps [26].
First, we will convene a stakeholders’ workshop in
Ghana to discuss our findings with and generate inputs
from a wide range of experts including policy-makers,
health directors, representatives of peer support groups
and civil society organisations, and nurses/midwives. This
will provide an opportunity to compare the emerging
programme theory and the experiences of practitioners
and policy-makers. Further details on the stakeholders
and the workshop will be included in the final review for
readers to check. Second, we will present our findings at
an international conference which will enable us to gen-
erate fresh ideas and suggestions for further refinement
of the programme theory. Third, the review team will dis-
cuss the refined programme theory emerging from the
previous steps and link it back to the substantive theory
in the existing literature described in the “Developing
initial programme theories” section. The final output of
the review will be a more refined programme theory with
explanatory value for peer support interventions beyond
MCH and SSA contexts.
Discussion
Our focus on SSA resonates with emerging calls from
scholars and policy-makers for attention to social and
institutional peculiarities in developing and evaluating
peer support interventions [9, 11, 15]. These calls for
attention to context require a review method that sys-
tematically explains ‘what works for whom, in what cir-
cumstances, in what respects and how’ [22]. Using realist
review methodology enables us to examine the context-
mechanism-outcome configurations of different forms of
MCH peer support interventions in SSA. Given the large
volume of literature on peer support in healthcare, we
concentrate on MCH to achieve an in-depth synthesis of
evidence and explication of theory. In reviewing the liter-
ature on different forms of MCH, we consider our review
to provide generalizable practical and theoretical lessons
on peer support interventions in other health services.
As explained in previous sections, persistent adverse out-
comes and access gaps peculiar to MCH in resource-con-
strained settings like SSA further justify our review focus.
The review is considered to articulate an explicit pro-
gramme theory of peer support intervention in health-
care delivery and provide insights for developing
evidence-informed policy on the intervention. First, by
drawing lessons from the different national contexts and
diverse areas of MCH, our review has the potential to
provide a generalizable programme theory that can guide
intervention design and implementation. While focusing
on SSA, we aim to contribute to evolving conversations
on the use of theory for health policy planning and inter-
vention design and implementation globally. Second,
we hope the review identifies practical ways of develop-
ing effective and sustainable peer support initiatives. We
expect our findings to highlight some latent and unique
properties of the SSA story, which we term reverse inno-
vation [73], that health policy-makers and leaders in non-
SSA settings like high-income countries may draw on to
develop creative peer support interventions.
Abbreviations
CMO Context-Mechanism-Outcome
HIV Human Immunodeficiency Virus
MCH Maternal and Child Healthcare
MDGs Millennium Development Goals
PRISMA Preferred Reporting Items for Systematic Reviews and
Meta-Analysis
PRISMA-P Preferred Reporting Items for Systematic Reviews and Meta-Anal-
ysis Protocols
SDGs Sustainable Development Goals
SSA Sub-Saharan Africa
WHO World Health Organization
Page 9 of 10
Dugleetal. Systematic Reviews (2023) 12:199
Supplementary Information
The online version contains supplementary material available at https:// doi.
org/ 10. 1186/ s13643- 023- 02366-3.
Additional file1.
Additional file2.
Additional file3.
Acknowledgements
Not applicable
Authors’ contributions
The authors agreed to publish a protocol paper. GD is the principal investiga-
tor and WQ is the supervisor of the review. JA contributed to the conceptu-
alisation of the review. GD drafted the protocol. All other authors reviewed
the draft protocol and provided extensive suggestions for revision. All authors
read and approved the final manuscript.
Funding
Open Access funding enabled and organized by Projekt DEAL. We did not
receive any funding for the conduct, authorship or publication of this review.
Availability of data and materials
All data generated or analysed in this review are included in this article and its
supplementary information files.
Declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Author details
1 School of Business, SD Dombo University of Business and Integrated
Development Studies, Box UY 36, Wa, Ghana. 2 School of Business, University
for Development Studies, Post Office BOX 1350, Tamale, Ghana. 3 Depar tment
of Healthcare Management, Technische Universität Berlin, Berlin, Germany.
4 German West-African Centre of Global Health and Pandemic Prevention
(G-WAC), Kwame Nkrumah University of Science and Technologies, Kumasi,
Ghana.
Received: 30 May 2023 Accepted: 11 October 2023
References
1. United Nations: The Millennium Development Goals Report 2015. New
York, USA; 2015.
2. World Health Organization. The world health report 2000. Health systems:
improving performance. Geneva: World Health Organization; 2000.
3. World Health Organization. World health statistics 2020: monitoring
health for the SDGs, sustainable development goals. Geneva: World
Health Organization; 2020.
4. World Health Organization. World health statistics 2021: Monitoring
health for the SDGs, sustainable development goals. Geneva: World
Health Organization; 2021.
5. World Health Organization. World health statistics 2022: Monitoring
health for the SDGs, sustainable development goals. Geneva: World
Health Organization; 2022.
6. House JS, Landis KR, Umberson D. Social relationships and health. Sci-
ence. 1988;241:540–5.
7. August KJ, Rook KS: Social relationships. In Encyclopedia of Behavioral
Medicine Second edition. Edited by Gellman MD. Switzerland: Springer
Cham; 2020: 1838–1842
8. Sokol R, Fisher E. Peer support for the hardly reached: a systematic review.
Am J Public Health. 2016;106:e1–8.
9. World Health Organization: Peer support mental health services: promot-
ing person-centred and rights-based approaches. In Guidance and
technical packages on community mental health services: promoting
person-centred and rights-basedapproaches. Geneva: World Health
Organization; 2021
10. Pérez-Escamilla R, Hromi-Fiedler A, Vega-López S, Bermúdez-Millán A,
Segura-Pérez S. Impact of peer nutrition education on dietary behaviors
and health outcomes among Latinos: a systematic literature review. J
Nutr Educ Behav. 2008;40:208–25.
11. Trickey H, Thomson G, Grant A, Sanders J, Mann M, Murphy S, Paranjothy
S. A realist review of one-to-one breastfeeding peer support experiments
conducted in developed country settings. Matern Child Nutr. 2018;14:
e12559.
12. Jolly K, Ingram L, Khan KS, Deeks JJ, Freemantle N, MacArthur C:
Systematic review of peer support for breastfeeding continuation:
metaregression analysis of the effect of setting, intensity, and timing. BMJ.
2012;344:d8287.
13. Kaunonen M, Hannula L, Tarkka MT. A systematic review of peer support
interventions for breastfeeding. J Clin Nurs. 2012;21:1943–54.
14. Kåks P, Målqvist M. Peer support for disadvantaged parents: a narrative
review of strategies used in home visiting health interventions in high-
income countries. BMC Health Serv Res. 2020;20:1–15.
15. Shakya P, Kunieda MK, Koyama M, Rai SS, Miyaguchi M, Dhakal S, Sandy
S, Sunguya BF, Jimba M. Effectiveness of community-based peer support
for mothers to improve their breastfeeding practices: a systematic review
and meta-analysis. PLoS One. 2017;12.
16. Chapman DJ, Morel K, Anderson AK, Damio G, Pérez-Escamilla R. Breast-
feeding peer counseling: from efficacy through scale-up. J Hum Lact.
2010;26:314–26.
17. Sudfeld CR, Fawzi WW, Lahariya C. Peer support and exclusive breastfeed-
ing duration in low and middle-income countries: a systematic review
and meta-analysis. PLoS One. 2012;7: e45143.
18. Maternal, newborn, child and adolescent health. https:// www. who. int/
mater nal_ child_ adole scent/ en/. Accessed 20 Mar 2022.
19. Greenhalgh T, Kristjansson E, Robinson V. Realist review to understand the
efficacy of school feeding programmes. BMJ. 2007;335:858–61.
20. Bhaskar R. A realist theory of science. Abingdon: Routledge; 2013.
21. Rycroft-Malone J, McCormack B, Hutchinson AM, DeCorby K, Bucknall TK,
Kent B, Schultz A, Snelgrove-Clarke E, Stetler CB, Titler M. Realist synthesis:
illustrating the method for implementation research. Implement Sci.
2012;7:33.
22. Pawson R, Greenhalgh T, Harvey G, Walshe K. Realist review-a new
method of systematic review designed for complex policy interventions.
J Health Serv Res Policy. 2005;10:21–34.
23. Pawson R, Tilley N. Realistic evaluation. London: Sage Publications; 1997.
24. Duddy C, Wong G. Grand rounds in methodology: when are realist
reviews useful, and what does a ‘good’realist review look like? BMJ Qual
Saf. 2023;32:173–80.
25. Pawson R. Evidence-based policy: a realist perspective. In Making Realism
Work: Realist social theory and empirical research. Edited by Bob C, New
C. London: Routledge; 2006
26. Wong G, Greenhalgh T, Westhorp G, Buckingham J, Pawson R. RAMESES
publication standards: realist syntheses. BMC Med. 2013;11:1–14.
27. Kantilal K, Hardeman W, Whiteside H, Karapanagiotou E, Small M, Bhat-
tacharya D. Realist review protocol for understanding the real-world
barriers and enablers to practitioners implementing self-management
support to people living with and beyond cancer. BMJ Open. 2020;10:
e037636.
28. Dugle G, Wulifan JK, Tanyeh JP, Quentin W. A critical realist synthesis of
cross-disciplinary health policy and systems research: defining charac-
teristic features, developing an evaluation framework and identifying
challenges. Health Res Policy Syst. 2020;18:1–17.
29. Dada S, Dalkin S, Gilmore B, Hunter R, Mukumbang FC. Applying
and reporting relevance, richness and rigour in realist evidence
Page 10 of 10
Dugleetal. Systematic Reviews (2023) 12:199
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appraisals: advancing key concepts in realist reviews. Res Synth Methods.
2023;14:504–14.
30. Westhorp G. Developing complexity-consistent theory in a realist investi-
gation. Evaluation. 2013;19:364–82.
31. Jagosh J, Macaulay AC, Pluye P, Salsberg J, Bush PL, Henderson J, Sirett E,
Wong G, Cargo M, Herbert CP. Uncovering the benefits of participatory
research: implications of a realist review for health research and practice.
Milbank Q. 2012;90:311–46.
32. Pratley P. Associations between quantitative measures of women’s
empowerment and access to care and health status for mothers and
their children: a systematic review of evidence from the developing
world. Soc Sci Med. 2016;169:119–31.
33. World Health Organization. Constitution of the World Health Organiza-
tion. Geneva: World Health Organization; 1995.
34. Walt G, Gilson L. Reforming the health sector in developing countries: the
central role of policy analysis. Health Policy Plan. 1994;9:353–70.
35. Opoku D, Stephani V, Quentin W. A realist review of mobile phone-based
health interventions for non-communicable disease management in
sub-Saharan Africa. BMC Med. 2017;15:24.
36. Shearn K, Allmark P, Piercy H, Hirst J. Building realist program theory
for large complex and messy interventions. Int J Qual Methods.
2017;16:1609406917741796.
37. Greenhalgh T, Humphrey C, Hughes J, Macfarlane F, Butler C, Pawson R.
How do you modernize a health service? A realist evaluation of whole-
scale transformation in London. Milbank Q. 2009;87:391–416.
38. Hunter R, Gorely T, Beattie M, Harris K. Realist review. Int Rev Sport Exerc
Psychol. 2022;15:242–65.
39. Shumaker SA, Brownell A. Toward a theory of social support: Closing
conceptual gaps. J Soc Issues. 1984;40:11–36.
40. Cohen S, Syme SL. Social Support and Health. San Francisco, USA: Aca-
demic Press Inc; 1985.
41. Vaux A. Social support: Theory, research, and intervention. New York:
Praeger publishers; 1988.
42. Dennis C. Peer support within a health care context: a concept analysis.
Int J Nurs Stud. 2003;40:321–32.
43. Schwartzberg SL. Helping factors in a peer-developed support group for
persons with head injury, part 1: Participant observer perspective. Am J
Occup Ther. 1994;48:297–304.
44. Kaaya SF, Blander J, Antelman G, Cyprian F, Emmons KM, Matsumoto K,
Chopyak E, Levine M, Fawzi MCS. Randomized controlled trial evaluating
the effect of an interactive group counseling intervention for HIV-positive
women on prenatal depression and disclosure of HIV status. AIDS Care.
2013;25:854–62.
45. Dennis CL. The process of developing and implementing a telephone-
based peer support program for postpartum depression: evidence from
two randomized controlled trials. Trials. 2014;15:131.
46. Agarwal B, Brooks SK, Greenberg N. The role of peer support in managing
occupational stress: a qualitative study of the sustaining resilience at
work intervention. Workplace Health Saf. 2020;68:57–64.
47. Snyder K, Worlton G. Social support during COVID-19: perspectives of
breastfeeding mothers. Breastfeed Med. 2021;16:39–45.
48. Waghid Y. Towards an Ubuntu philosophy of higher education in Africa.
Stud Philos Educ. 2020;39:299–308.
49. Mugumbate J, Nyanguru A. Exploring African philosophy: The value of
ubuntu in social work. Afr J Soc Work. 2013;3:82–100.
50. Gade CB. What is ubuntu? Different interpretations among South Africans
of African descent. South African J Philosophy. 2012;31:484–503.
51. Cohen S, Wills TA. Stress, social support, and the buffering hypothesis.
Psychol Bull. 1985;98:310–57.
52. du Plessis C, Whitaker L, Hurley J. Peer support workers in substance
abuse treatment services: a systematic review of the literature. J Sub-
stance Use. 2020;25:225–30.
53. Smith A: An inquiry into the nature and causes of the wealth of nations:
Volume One. In: London: printed for W. Strahan; and T. Cadell, 1776.; 1776
54. Marx K: Economic and philosophical manuscripts. (Marxism-Leninism Io
ed., vol. 333. Moscow; 1844.
55. Taylor FW. The Principles of Scientific Management. New York: Harper &
Brothers Publishers; 1911.
56. Fayol H. General principles of management. Classics of organization
theory. 1916;2:15.
57. Bandura A. Social-learning theory of identificatory processes. Handbook
of socialization theory and research. 1969;213:262.
58. Foa UG. Interpersonal and economic resources: their structure and dif-
ferential properties offer new insight into problems of modern society.
Science. 1971;171:345–51.
59. Veblen TB. Some neglected points in the theory of socialism. Ann Am
Acad Pol Soc Sci. 1891;2:57–74.
60. Weber M. Economy and society: An outline of interpretive sociology.
California: Univ of California Press; 1978.
61. Williamson OE. Transaction-cost economics: the governance of contrac-
tual relations. J Law Econ. 1979;22:233–61.
62. Cropanzano R, Mitchell MS. Social exchange theory: An interdisciplinary
review. J Manag. 2005;31:874–900.
63. Agyepong IA, Sewankambo N, Binagwaho A, Coll-Seck AM, Corrah T,
Ezeh A, Fekadu A, Kilonzo N, Lamptey P, Masiye F. The path to longer and
healthier lives for all Africans by 2030: the Lancet Commission on the
future of health in sub-Saharan Africa. Lancet. 2017;390:2803–59.
64. Ridde V. Policy implementation in an African state: an extension of King-
don’s Multiple-Streams Approach. Pub Adm. 2009;87:938–54.
65. Mays N, Pope C, Popay J. Systematically reviewing qualitative and quanti-
tative evidence to inform management and policy-making in the health
field. J Health Serv Res Policy. 2005;10:6–20.
66. Robert E, Ridde V, Marchal B, Fournier P. Protocol: a realist review of user
fee exemption policies for health services in Africa. BMJ Open. 2012;2:
e000706.
67. Bryant A, Charmaz K. The Sage handbook of grounded theory. London,
UK: Sage; 2007.
68. Greenhalgh T, Pawson R, Wong G, Westhorp G, Greenhalgh J, Manzano A,
Jagosh J: Retroduction in realist evaluation The RAMESES II Project. The
RAMESES Projects 2017.
69. Dalkin S, Forster N, Hodgson P, Lhussier M, Carr SM. Using computer
assisted qualitative data analysis software (CAQDAS; NVivo) to assist in
the complex process of realist theory generation, refinement and testing.
Int J Soc Res Methodol. 2021;24:123–34.
70. Gilmore B, McAuliffe E, Power J, Vallières F. Data analysis and synthesis
within a realist evaluation: toward more transparent methodological
approaches. Int J Qual Methods. 2019;18:1609406919859754.
71. Chun Tie Y, Birks M, Francis K. Grounded theory research: A
design framework for novice researchers. SAGE open medicine.
2019;7:2050312118822927.
72. Jagosh J. Realist synthesis for public health: building an ontologically
deep understanding of how programs work, for whom, and in which
contexts. Annu Rev Public Health. 2019;40:361–72.
73. Govindarajan V, Ramamurti R. Reverse innovation, emerging markets, and
global strategy. Glob Strateg J. 2011;1:191–205.
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