{"title":"Development and validation of the OH-KAP survey for use with pastoral and other rural communities in Africa.","authors":"Farah I Mumin, Siobhan M Mor","doi":"10.1186/s42522-026-00213-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Evaluating One Health at community-level requires robust, valid measures of what communities know, believe, and do about health risks shared by people, animals, and the environment. This study aimed to develop and validate a One Health Knowledge, Attitudes and Practices (OH-KAP) instrument tailored to (agro-)pastoralist and mixed-farming systems in Africa, covering key One Health topics including zoonoses, antimicrobial resistance, and food safety.</p><p><strong>Methods: </strong>An initial pool of 156 items was derived from the literature and refined through expert content validation to 126 items. Subsequently, the questionnaire was translated into Somali and field-tested with 300 adults in Middle Shabelle, Somalia. Psychometric analysis of knowledge and attitudes items was undertaken using classical test theory, exploratory factor analysis, and bifactor item response theory (2-parameter logistic models for binary knowledge items; graded response models for Likert-scale attitudes items). Practice items were analysed using exploratory graph analysis and community detection.</p><p><strong>Results: </strong>The final instrument included 27 knowledge, 19 attitude and 29 practice items. The knowledge sub-scale loaded onto a general One Health factor with 4 domain-specific subfactors: zoonotic transmission and environmental risks; animal bites and safe food handling; AMR; and direct contact and food contamination risks (reliability: α = 0.94; model fit: CFI = 0.96, RMSEA 0.08). The attitudes sub-domain loaded onto a general One Health factor with 5 domain-specific subfactors: hand hygiene; animal husbandry; zoonotic outbreaks; AMR; and antimicrobial use (AMU) (α = 0.93; CFI = 0.99, RMSEA 0.05). Practices clustered into four stable domains: animal management and AMU; direct contact and exposure control; responsible husbandry, food safety and stewardship; and hand hygiene and disease reporting (bootstrap stability > 65%).</p><p><strong>Conclusions: </strong>The developed OH-KAP is a concise, field-ready tool for quantifying integrated One Health knowledge, attitudes and practices. It supports baseline assessments and monitoring associated with awareness-creation and behaviour-change programming. Future work should extend coverage to additional One Health priorities and assess invariance across settings and languages.</p>","PeriodicalId":94348,"journal":{"name":"One health outlook","volume":" ","pages":""},"PeriodicalIF":5.9000,"publicationDate":"2026-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13404092/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"One health outlook","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s42522-026-00213-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Evaluating One Health at community-level requires robust, valid measures of what communities know, believe, and do about health risks shared by people, animals, and the environment. This study aimed to develop and validate a One Health Knowledge, Attitudes and Practices (OH-KAP) instrument tailored to (agro-)pastoralist and mixed-farming systems in Africa, covering key One Health topics including zoonoses, antimicrobial resistance, and food safety.
Methods: An initial pool of 156 items was derived from the literature and refined through expert content validation to 126 items. Subsequently, the questionnaire was translated into Somali and field-tested with 300 adults in Middle Shabelle, Somalia. Psychometric analysis of knowledge and attitudes items was undertaken using classical test theory, exploratory factor analysis, and bifactor item response theory (2-parameter logistic models for binary knowledge items; graded response models for Likert-scale attitudes items). Practice items were analysed using exploratory graph analysis and community detection.
Results: The final instrument included 27 knowledge, 19 attitude and 29 practice items. The knowledge sub-scale loaded onto a general One Health factor with 4 domain-specific subfactors: zoonotic transmission and environmental risks; animal bites and safe food handling; AMR; and direct contact and food contamination risks (reliability: α = 0.94; model fit: CFI = 0.96, RMSEA 0.08). The attitudes sub-domain loaded onto a general One Health factor with 5 domain-specific subfactors: hand hygiene; animal husbandry; zoonotic outbreaks; AMR; and antimicrobial use (AMU) (α = 0.93; CFI = 0.99, RMSEA 0.05). Practices clustered into four stable domains: animal management and AMU; direct contact and exposure control; responsible husbandry, food safety and stewardship; and hand hygiene and disease reporting (bootstrap stability > 65%).
Conclusions: The developed OH-KAP is a concise, field-ready tool for quantifying integrated One Health knowledge, attitudes and practices. It supports baseline assessments and monitoring associated with awareness-creation and behaviour-change programming. Future work should extend coverage to additional One Health priorities and assess invariance across settings and languages.