Evidence map›Paper›PMID 42745852›Full record

ArticleFrontiers in veterinary science2026

What will it take for behavior to change? Findings from a baseline evaluation of an intervention to reduce antimicrobial use among smallholder poultry farmers in Zimbabwe.

Patience Chenayimoyo Mushanawani, Webster Mavhu, Chenai Sipiwe Majuru, Canaan Tinashe Hodobo, Tsamwi Naume Gurira, Emily Waniwa, Kudzai Nyoka, Grace Maparo, Wasarirevu, Johannes Mubvuta and 9 more

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Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

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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

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Patience Chenayimoyo Mushanawani *Department of Veterinary Technical Services, Ministry of Agriculture, Mechanisation and Water Resources Development, Harare, Zimbabwe.
Webster Mavhu *Centre for Sexual Health and HIV/AIDS Research (CeSHHAR), Harare, Zimbabwe.
Chenai Sipiwe MajuruDepartment of Veterinary Technical Services, Ministry of Agriculture, Mechanisation and Water Resources Development, Harare, Zimbabwe.
Canaan Tinashe HodoboDepartment of Veterinary Technical Services, Ministry of Agriculture, Mechanisation and Water Resources Development, Harare, Zimbabwe.
Tsamwi Naume GuriraDepartment of Veterinary Technical Services, Ministry of Agriculture, Mechanisation and Water Resources Development, Harare, Zimbabwe.
Emily WaniwaDepartment of Veterinary Technical Services, Ministry of Agriculture, Mechanisation and Water Resources Development, Harare, Zimbabwe.
Kudzai NyokaDepartment of Veterinary Technical Services, Ministry of Agriculture, Mechanisation and Water Resources Development, Harare, Zimbabwe.
Grace MaparoIndependent Consultant, Harare, Zimbabwe.
WasarirevuDepartment of Veterinary Technical Services, Ministry of Agriculture, Mechanisation and Water Resources Development, Harare, Zimbabwe.
Johannes MubvutaDepartment of Veterinary Technical Services, Ministry of Agriculture, Mechanisation and Water Resources Development, Harare, Zimbabwe.
Iredale MutengwaDepartment of Veterinary Technical Services, Ministry of Agriculture, Mechanisation and Water Resources Development, Harare, Zimbabwe.
Philip ZvorufuraDepartment of Veterinary Technical Services, Ministry of Agriculture, Mechanisation and Water Resources Development, Harare, Zimbabwe.
Tariro MadzivanyikaDepartment of Veterinary Technical Services, Ministry of Agriculture, Mechanisation and Water Resources Development, Harare, Zimbabwe.
Mackwellings PhiriMalawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
Tafadzwa CharumbiraPoultry Farmers Association of Zimbabwe, Harare, Zimbabwe.
Erica WestwoodInternational Centre for Antimicrobial Resistance Solutions (ICARS), Copenhagen, Denmark.
Sarah von Humboldt-ScotlandInternational Centre for Antimicrobial Resistance Solutions (ICARS), Copenhagen, Denmark.
Cèlia Ventura-GabarróInternational Centre for Antimicrobial Resistance Solutions (ICARS), Copenhagen, Denmark.
Ahmad Wesal ZamanInternational Centre for Antimicrobial Resistance Solutions (ICARS), Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Antimicrobial resistance (AMR) occurs when pathogens become immune to drugs designed to eliminate or suppress their growth. AMR is accelerated by the inappropriate use of antimicrobials, a common practice among small-medium scale poultry farmers. We conducted a mixed-methods baseline exploration for an intervention to strengthen biosecurity practices and prudent antimicrobial use (AMU) among small-scale poultry farmers in Zimbabwe, to identify key baseline behaviors and their determinants as well as potential intervention entry points. Methods: December 2024 to April 2025, we iteratively conducted 45 qualitative interviews and six conversation events with purposively selected farmers. To explore the underlying drivers of behavioral practices, the Capability, Opportunity, Motivation, and Behavior (COM-B) model for behavior change was applied as an organizing framework. Results: Overall, five key behaviors relevant to biosecurity and AMU in the poultry sector emerged from the analysis: (1) incomplete adoption of biosecurity practices; (2) self-diagnosis and self-treatment of poultry disease; (3) prophylactic antibiotic use; (4) non-observance of withdrawal periods; and (5) unsafe disposal of dead birds and poultry waste. In addition, a cross-cutting determinant, gendered distribution of household and poultry labor, was found to influence multiple behaviors by shaping female farmers' access to time, resources and opportunities to implement recommended practices. Analysis of these behaviors through the COM-B framework revealed how capability, opportunity and motivation interacted to shape farmers' practices. Conclusion: AMU among poultry farmers is closely linked to a range of behaviors undertaken within production systems characterized by various structural and social factors. Interventions need to address the underlying drivers of AMU rather than its symptoms alone. Intervention components could include practical biosecurity training, low-cost biosecurity innovations, training on withdrawal periods, community-led disposal systems and, household workload-sharing strategies. The resultant intervention will need to be evaluated for effectiveness.

Indexed as

antimicrobial resistanceantimicrobial usebehavior changeCOM-Bone healthpoultry farmerswomenZimbabwe

Identifiers

PMID42745852
PMCPMC13574589

What OpenQuestion holds

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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.