Evidence map›Paper›PMID 41636420›Full record

ArticleHealth policy and planning2026

Can co-designing interventions with affected communities help prevent violence against women? Findings from a process evaluation of the E le Saua le Alofa (Love Shouldn't Hurt) pilot in Samoa.

Jenevieve Mannell, Hattie Lowe, Helen Tanielu, Ene Isaako Hosea, Pepe Tevaga, Louisa Apelu, Fa'afetai Alisi Fesili, Andrew Copas

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Article in Health policy and planning, 2026. 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

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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jenevieve MannellUCL Institute for Global Health, 30 Guilford Street, London, WC1N 1EH, United Kingdom.ORCID 0000-0002-7456-3194
Hattie LoweUCL Institute for Global Health, 30 Guilford Street, London, WC1N 1EH, United Kingdom.
Helen TanieluDepartment of Social Science, National University of Samoa, To'omatagi, Samoa.
Ene Isaako HoseaSamoa Victim Support Group, Apia, Samoa.
Pepe TevagaSamoa Victim Support Group, Apia, Samoa.
Louisa ApeluIndependent consultant, Apia, Samoa.
Fa'afetai Alisi FesiliSamoa Victim Support Group, Apia, Samoa.
Andrew CopasUCL Institute for Global Health, 30 Guilford Street, London, WC1N 1EH, United Kingdom.ORCID 0000-0001-8968-5963

Funding

UK Research and Innovation MR/SO33629/1
6 · The paper itself

Abstract

There has been increasing interest in co-designing interventions with end users to prevent violence against women (VAW). Co-design is theorized as an ethical approach to research able to engage some of the most marginalized groups in VAW prevention. However, there is little evidence of whether co-designing interventions can reduce violence against women, or a theoretical consideration of how it might do so. This paper contributes to current discussions about co-design by examining the results of the E le Saua le Alofa (Love Shouldn't Hurt)-a pilot intervention that engaged Samoan communities in co-designing violence prevention activities. A mixed-methods evaluation of the pilot has shown promising results, and in this paper, we consider how the co-design process may have contributed to these results. The evaluation of the co-design process assessed four theorized mechanisms: (1) increased ownership of the problem of violence; (2) improved health behaviours and social norms; (3) relevance of actions taken to address VAW; (4) addressing power structures arising from coloniality. Our results show that a change in violence outcomes occurred through the pilot's ability to revisit previous conversations about violence in Samoa, prompting new activities by local leaders, and tightening village rules on violence. Yet, the activities implemented by local leaders were largely unpredictable and sometimes conflicted with global evidence. We argue that such actions should not be construed by policymakers as the "unpredictable outcomes" of an intervention, but rather understood within a broader framework of diversified knowledge systems. The need for balance in co-designing VAW interventions with communities affected by violence highlights a key challenge of decolonizing VAW practice within a co-production framework.

Indexed as

ViolenceFemaleHumansPilot ProjectsProgram EvaluationSamoaco-productioninterventionsmixed methodspilot evaluationSamoaviolence against women prevention

Identifiers

PMID41636420
PMCPMC13089477

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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.