Evidence map›Paper›PMID 37650702›Full record

ArticleHealth policy and planning2023

Understanding communication in community engagement for maternal and newborn health programmes in low- and middle-income countries: a realist review.

Sara Dada, Praveenkumar Aivalli, Aoife De Brún, Maria Barreix, Nachela Chelwa, Zaccheous Mutunga, Bellington Vwalika, Brynne Gilmore

Abstract read
In one paragraph

Article in Health policy and planning, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Co-Designing Physical Activity Programmes: A Participatory Research Study With Culturally Diverse Women and Local Government.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sara DadaUCD Centre for Interdisciplinary Research Education and Innovation in Health Systems (UCD IRIS Centre), University College Dublin, School of Nursing Midwifery and Health Systems , Belfield, Dublin 4, Ireland.ORCID 0000-0003-3910-1856
Praveenkumar AivalliUCD Centre for Interdisciplinary Research Education and Innovation in Health Systems (UCD IRIS Centre), University College Dublin, School of Nursing Midwifery and Health Systems , Belfield, Dublin 4, Ireland.ORCID 0000-0001-8109-2493
Aoife De BrúnUCD Centre for Interdisciplinary Research Education and Innovation in Health Systems (UCD IRIS Centre), University College Dublin, School of Nursing Midwifery and Health Systems , Belfield, Dublin 4, Ireland.ORCID 0000-0003-0124-0893
Maria BarreixUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Sexual and Reproductive Health and Research, World Health Organization, Avenue Appia 20, 1211, Geneva 27, Switzerland.ORCID 0000-0003-3613-9672
Nachela ChelwaPopulation Council, 8 Nyerere Rd., Lusaka, Zambia.
Zaccheous MutungaConcern Worldwide, Westlands Ave, Nairobi, Kenya.
Bellington VwalikaDepartment of Obstetrics and Gynaecology, University of Zambia School of Medicine, Lusaka, Zambia.ORCID 0000-0001-5548-8187
Brynne GilmoreUCD Centre for Interdisciplinary Research Education and Innovation in Health Systems (UCD IRIS Centre), University College Dublin, School of Nursing Midwifery and Health Systems , Belfield, Dublin 4, Ireland.ORCID 0000-0003-4496-9254

Funding

World Health Organization 001
6 · The paper itself

Abstract

As community engagement (CE) is implemented for sustainable maternal and newborn health (MNH) programming, it is important to determine how these approaches work. Low- and middle-income countries (LMICs) have become a particular focus for MNH CE activities due to their high burden of maternal and neonatal deaths. MNH messaging and communication to engage communities are likely to differ by context, but how these approaches are actually developed and implemented within CE is not well understood. Understanding how communications in CE actually work is vital in the translation of learnings across programmes and to inform future projects. The purpose of this realist review is to describe how, why, to what extent and for whom communications in CE contribute to MNH programming in LMICs. After searching academic databases, grey literature and literature suggested by the expert advisory committee, documents were included if they described the CE communication processes/activities used for MNH programming in an LMIC. Relevant documents were assessed for richness (depth of insight) and rigor (trustworthiness and coherence of data/theories). Data were extracted as context-mechanism-outcome configurations (CMOCs) and synthesized into demi-regularities to contribute to theory refinement. After screening 416 records, 45 CMOCs were extracted from 11 documents. This informed five programme theories explaining that communications in CE for an MNH programme work when: communities are actively involved throughout the programme, the messaging and programme are acceptable, communication sources are trusted, the community has a reciprocal relationship with the programme and the community sees value in the programme. While these findings reflect what is often anecdotally known in CE or acknowledged in communications theory, they have implications for policy, practice and research by highlighting the importance of centring the community's needs and priorities throughout the stages of developing and implementing communications for CE in MNH.

Indexed as

Developing CountriesInfant HealthCommunicationFemaleHealth PromotionHumansInfant, NewbornMaternal HealthcommunicationCommunity engagementLMICmaternal healthnewborn healthrealist synthesistheory

Identifiers

PMID37650702
PMCPMC10566325

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.