ReviewFrontiers in veterinary science2021
Understanding Farmers' Behavior and Their Decision-Making Process in the Context of Cattle Diseases: A Review of Theories and Approaches.
Review in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 63 citations in OpenAlex.
- Farmers' views and attitudes towards bovine tuberculosis and bluetongue in Northern Ireland using semi-structured interviews.Irish veterinary journal · 2026Article
- Between-country differences in the psychosocial profiles of British cattle farmers.The Veterinary record · 2026Article
- Understanding sheep lameness management in relation to culling and the UK five-point plan.Animal welfare (South Mimms, England) · 2026Article
- Minding the knowledge-action gap: Results from a mixed-methods study of antimicrobial use among dairy farmers in central Uganda.PloS one · 2026Article
- Farmers' knowledge of African swine fever disease prevention practice: A case of biosecurity in small-scale pig farms in the Mekong Delta, Vietnam.Open veterinary journal · 2026Article
- Trust and professional relationships drive participation in passive cattle health surveillance among Dutch farmers and veterinarians.Frontiers in veterinary science · 2026Article
- How can we change behavior to bolster biosecurity? A scoping review and recommendations.Frontiers in veterinary science · 2026Review
- Socio-Psychological and External Factors Influencing Biosecurity Compliance in U.S. Poultry Farming.Veterinary sciences · 2025Article
- Why some embrace and others hesitate? A behavioral analysis of insomnia sufferers' engagement with acupuncture treatment.World journal of psychiatry · 2025Article
- Tailored biosecurity training for veterinarians and farmers: bridging knowledge and practice gaps.Frontiers in veterinary science · 2025Article
- Enhancing rural veterinary governance: coupling veterinary human resources with public attention to animal welfare.Frontiers in veterinary science · 2025Article
- German dairy farmers' implementation of veterinary recommendations to improve calf health-a qualitative study based on the transtheoretical model.Frontiers in veterinary science · 2025Article
- Exploring industry perspectives and preferences about calf handling and restraint methods used during spring processing of calves in western Canada.Translational animal science · 2025Article
- Assessment of the Knowledge, Attitude, and Perception (KAP) of Sheep Farmers Regarding Ticks and Tick-Borne Pathogens in Tunisia, North Africa.Veterinary sciences · 2024Article
- Analyzing Data Modalities for Cattle Weight Estimation Using Deep Learning Models.Journal of imaging · 2024Article
- Developing and evaluating a health pack to support dog owners to manage the weight of their companion animals.Frontiers in veterinary science · 2024Article
- Exploring farmer and advisor lameness management behaviors using the COM-B model of behavior change.Frontiers in veterinary science · 2024Article
- Understanding the factors influencing biosecurity adoption on smallholder poultry farms in Ghana: a qualitative analysis using the COM-B model and Theoretical Domains Framework.Frontiers in veterinary science · 2024Article
- Antibiotic Utilization and Its Implications Among Ruminant Farmers and Stakeholders in Sumbawa Regency, Indonesia.Veterinary medicine international · 2024Article
- Drivers linking farmers' decision-making with farm performance: A systematic review and future research agenda.Heliyon · 2023Review
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding farmers' behavior regarding disease control is essential to successfully implement behavior change interventions that improve uptake of best practices. A literature review was conducted to identify theoretical underpinnings, analytical methodologies, and key behavioral determinants that have been described to understand farmers' behavior in disease control and prevention on cattle farms. Overall, 166 peer-reviewed manuscripts from studies conducted in 27 countries were identified. In the past decade, there were increasing reports on farmers' motivators and barriers, but no indication of application of appropriate social science methods. Furthermore, the majority (58%) of reviewed studies lacked a theoretical framework in their study design. However, when a theoretical underpinning was applied, the Theory of Planned Behavior was most commonly used (14% of total). The complexity of factors impacting farmers' behavior was illustrated when mapping all described key constructs of the reviewed papers in behavior change frameworks, such as the socioecological framework and the Capability, Opportunity and Motivation Behavior (COM-B) model. Constructs related to personal influences and relationships between farmers and veterinarians were overrepresented, whereas constructs related to other interpersonal and contextual environments were not extensively studied. There was a general lack of use of validated scales to measure constructs and empirically validated theoretical frameworks to understand and predict farmers' behavior. Furthermore, studies mainly focused on measurements of intention of stakeholder behavior rather than actual behavior, although the former is a poor predictor of the latter. Finally, there is still a lack of robust evidence of behavior change interventions or techniques that result in a successful change in farmers' behavior. We concluded that for a sustainable behavior change, studies should include wider constructs at individual, interpersonal, and contextual levels. Furthermore, the use of empirically validated constructs and theoretical frameworks is encouraged. By using coherent frameworks, researchers could link constructs to design interventions, and thereby take the first step toward theory-driven, evidence-based interventions to influence farmers' behavior for disease control.
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Registered trials
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.