Evidence map›Paper›PMID 40728033›Full record

ArticleMaternal & child nutrition2025

Understanding Drivers of Sustained Engagement in SMS-Based Nutrition Programmes: A Realist Evaluation With an Equity Lens in Tanzania.

Inka Barnett, Jessica Gordon, Deogardius Medardi, Mieke Snijder

Abstract read
In one paragraph

Article in Maternal & child nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Inka BarnettInstitute of Development Studies (IDS), University of Sussex, Brighton, East Sussex, UK.ORCID 0000-0001-5899-4173
Jessica GordonInstitute of Development Studies (IDS), University of Sussex, Brighton, East Sussex, UK.
Deogardius MedardiOxford Policy Management (OPM), Dar es Salaam, Dar es Salaam Region, Tanzania.
Mieke SnijderInstitute of Development Studies (IDS), University of Sussex, Brighton, East Sussex, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Child undernutrition remains a global challenge, intricately linked to systemic inequities in access to maternal and child health and nutrition (MCHN) services. While SMS-based behaviour change communication (BCC) offers a scalable strategy to address this challenge, its effectiveness is often undermined by low and inconsistent user engagement. This study extends the impact evaluation of the mNutrition programme in Tanzania-a nationwide SMS-based BCC programme aimed at improving maternal and child nutrition (MCN)-to investigate what drives sustained, long-term engagement-an important but underexplored gap. The objective is to explore the mechanisms driving sustained engagement among mothers in rural Tanzania and how these are triggered by specific contextual factors and inequities. A realist approach was used, combining realist interviews with 40 sustained engagers (conducted across three sites between February and April 2019) and quantitative endline survey data. Retroductive analysis iteratively tested initial programme theories (IPTs) and derived Context-Mechanism-Outcome (CMO) configurations explaining sustained engagement. Findings showed sustained engagement resulted from the interplay between programme elements-such as content, SMS delivery (regularity, convenience, privacy), message tone (non-judgmental, supportive), and perceptions of the sender-and inequity-laden contextual realities, including time poverty, social isolation, undervaluation of women, gendered power dynamics within households and healthcare settings. The study concludes that digital BCC programmes must be context-sensitive and equity-oriented to achieve sustained engagement. Designing messages and delivery systems that reflect users' lived experiences and address structural vulnerabilities can enhance engagement and support more equitable nutrition outcomes.

Indexed as

Health PromotionText MessagingAdultFemaleHumansInfantMaleMothersProgram EvaluationRural PopulationTanzaniadigital healthevaluationhealth equitylow‐ and middle‐income countriesmalnutritionmaternal‐child health servicesprogramme

Identifiers

PMID40728033
PMCPMC12454172

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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.