Evidence map›Paper›PMID 28962648›Full record

ArticleBMC health services research2017

The challenge of complexity in evaluating health policies and programs: the case of women's participatory groups to improve antenatal outcomes.

Sara Van Belle, Susan Rifkin, Bruno Marchal

Abstract read
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
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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

18 citing papers in PubMed.

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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

3 authors.

Sara Van BelleHealth Policy Unit, Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Susan RifkinLondon School of Hygiene and Tropical Medicine, London, United Kingdom. Susan.rifkin@lshtm.ac.uk.
Bruno MarchalHealth Services Organisation Unit, Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the last years, randomized designs have been promoted as the cornerstone of evidence-based policymaking. Also in the field of community participation, Random Control Trials (RCTs) have been the dominant design, used for instance to examine the contribution of community participation to health improvement. We aim at clarifying why RCTs and related (quasi-) experimental designs may not be the most appropriate approach to evaluate such complex programmes.

resultsWe argue that the current methodological debate could be more fruitful if it would start from the position that the choice of designs should fit the nature of the program and research questions rather than be driven by methodological preferences. We present how realist evaluation, a theory-driven approach to research and evaluation, is a relevant methodology that could be used to assess whether and how community participation works. Using the realist evaluation approach to examine the relationship between participation and action of women groups and antenatal outcomes would enable evaluators to examine in detail the underlying mechanisms which influence actual practices and outcomes, as well as the context conditions required to make it work.

conclusionsRealist research in fact allows opening the black boxes of "community" and "participation" in order to examine the role they play in ensuring cost-effective, sustainable interventions. This approach yields important information for policy makers and programme managers considering how such programs could be implemented in their own setting.

Indexed as

Community-Based Participatory ResearchCommunity ParticipationHealth PolicyProgram EvaluationAdministrative PersonnelFemaleHumansPolicy MakingPregnancyPregnancy OutcomePrenatal CareReview Literature as TopicCommunity participationComplex interventionsEmpowermentImpact evaluationRealist evaluation

Identifiers

PMID28962648
PMCPMC5622457

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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.