Evidence map›Paper›PMID 36958273›Full record

ArticleEvaluation and program planning2023

Testing theory of change assumptions of health behavior change interventions: A blended approach exploring local contexts.

Avishek Hazra, Jaleel Ahmad, P S Mohanan, Supriya, Raj Kumar Verma, Sanjeev Sridharan

Abstract read
In one paragraph

Article in Evaluation and program planning, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

6 authors.

Avishek HazraPopulation Council, India. Electronic address: ahazra@popcouncil.org.
Jaleel AhmadPopulation Council, India.
P S MohananDevelopment Practitioner, India.
SupriyaPopulation Council, India.
Raj Kumar VermaPopulation Council, India.
Sanjeev SridharanUniversity of Hawai]i at Mānoa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper used a blended approach that involves multiple techniques to, first, test a set of assumptions around a health behavior change communication intervention theory of change (ToC) and, second, surface some unidentified assumptions involving the local context. The intervention was integrated with women's self-help groups (SHGs) in Uttar Pradesh, India. The key assumption tested in this paper was the linkage between SHG membership, program exposure, and maternal, newborn, and child health practices. Learnings were substantiated through empirical investigations, including structural equation modeling and mediation analysis, as well as 'co-learning' workshops within the community. The workshops aimed to capture and interpret the heterogeneity of local contexts through deep dialogs with the community and program implementers at various levels. Statistical analyses indicated a significant association between the amount of women's program exposure and their health practices. SHG membership was shown to affect maternal health practices; however, it did not have a direct effect on neonatal or child health practices. The 'co-learning' workshops revealed crucial aspects, such as prevailing socio-cultural norms, which prevented pregnant or recently delivered women from participating in SHG meetings. This paper encourages evaluators to work with the community to interpret and co-construct meaning in unpacking the contextual forces that seldom appear in the program ToC.

Indexed as

Health BehaviorMaternal HealthChildFemaleHumansIndiaInfant, NewbornPregnancyProgram EvaluationSelf-Help GroupsBehavior change communicationCo-learning workshops and community dialogsLocal context and normsSelf-help groupTesting assumptionsTheory of change

Identifiers

PMID36958273
PMCPMC10230323

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LicenceCC BY
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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.