Pulse Brain · Growing Health Evidence Index
Tier 2 — RCT, large cohort or strong causal designPeer-reviewedConventional

Scalability and integration of multisectoral interventions for child malnutrition: lessons from a process evaluation of a cluster-randomized trial in Uganda.

Stacy P. Griswold; Carolyn Van Sant; Ian G. Moore; Yanlin Ren; Regina Brown; Teddy Atim; Hugo de Groote; Marlene Hebie; Anastasia Marshak; Merry Fitzpatrick; Patrick Webb; Shibani Ghosh

Current Developments in Nutrition · 2026

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Summary

This process evaluation of a cluster-randomised trial in Uganda examined how multisectoral interventions addressing child malnutrition can be effectively scaled and integrated. The study provides empirical insights into implementation pathways and practical lessons for coordinating nutrition-focused activities across health, agriculture, social protection and education sectors. The findings are likely to inform policy on translating efficacious interventions into sustainable, scalable programmes in similar low-resource settings.

Regional applicability

Whilst conducted in Uganda, the process evaluation methodology and lessons on intersectoral coordination for malnutrition are potentially transferable to United Kingdom contexts where childhood undernutrition persists in disadvantaged populations and where coordinated policy action across health, food and social systems is sought. Direct programme replication would require adaptation to UK institutional structures and food systems.

Key measures

Implementation processes, scalability indicators, intersectoral integration effectiveness, and barriers and facilitators to intervention delivery

Outcomes reported

The study evaluated the scalability and integration of multisectoral interventions targeting child malnutrition through process evaluation of a cluster-randomised trial. It likely assessed feasibility, implementation fidelity, and lessons for scaling interventions across sectors.

Theme
Policy, governance & rights
Subject
Food security & global nutrition
Study type
Research
Study design
Process evaluation of a cluster-randomised trial
Source type
Peer-reviewed study
Status
Published
Geography
Uganda
System type
Food supply chain
DOI
10.1016/j.cdnut.2026.109564
Catalogue ID
NRmvm8i4mg-001

Topic tags

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