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.

Highlights

  • Evidence-based practices are available to prevent and control most diseases affecting domestic farm animals, economic losses due to animal health issues remain substantial [1]

  • We developed a search strategy consisting of relevant keywords describing the following themes: farmer, veterinarian, behavior/behaviour, perception, attitude, beliefs, and disease control

  • In the 146 remaining studies, 24 themes of disease prevention and control were identified, with the most intensively studied theme being the application of biosecurity measures (n = 22; 15%) and bovine paratuberculosis (Johne’s disease) (n = 22; 15%), followed by behavior related to use of antimicrobials and prescriptions for antimicrobials by farmers and veterinarians (n = 20; 14%), and mastitis (n = 19; 13%) (Table 2)

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Summary

Introduction

Evidence-based practices are available to prevent and control most diseases affecting domestic farm animals, economic losses due to animal health issues remain substantial [1]. Researchers emphasize the importance of risk factors related to numerous cattle diseases, but on-farm understanding and implementation of disease prevention and control measures is often suboptimal [e.g., [2,3,4]]. Only 27% of producers in north-west England described biosecurity in relation to the management of pathogens or diseases on farms. There is increasing evidence that decisions are influenced by a variety of additional factors, e.g., farmers’ perceived risk, perceived knowledge, perceived control, incentivization, emotions, and normative beliefs [6,7,8,9,10]. Better understanding of farmers’ processes of decision-making regarding disease control on cattle farms is necessary to understand suboptimal implementation of best practices. To design and implement successful behavioral change intervention studies, better understanding of farmers’ behavioral influences is crucial

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