Literature DB >> 29786526

Application of multiple behaviour change models to identify determinants of farmers' biosecurity attitudes and behaviours.

I F Richens1, J Houdmont2, W Wapenaar1, O Shortall3, J Kaler1, H O'Connor4, M L Brennan5.   

Abstract

It has been recognised that few cattle farmers undertake biosecurity practices on their farms. Approaches that take into consideration individuals' preparedness for change, alongside beliefs thought to motivate the enactment of certain behaviours, may provide a framework for actuating tangible change. The aim of this study was to use a combination of behaviour change models to link beliefs with behaviour and identify possible key interventions to improve the uptake of biosecurity measures by dairy cattle farmers in Great Britain (GB). This is the first study to explore farmers' practices and attitudes in relation to the prevention of direct (animal to animal contact); indirect (via fomites); and other biosecurity measures using a multitheory approach. A cross-sectional study was carried out, with postal questionnaires sent to 2505 dairy cattle farmers. Questions were asked about the extent to which a host of biosecurity measures were used, the influence of various stakeholders (e.g. veterinarians, industry bodies) in informing biosecurity choices, and the perceived control farmers felt they had over biosecurity on their farms. Farmer attitudes towards biosecurity were also explored. Two behaviour change models, the Transtheoretical Model, and the Theory of Planned Behaviour, were utilised. A variety of analysis methods were used to interrogate the data, including multivariable logistic regression. A total of 908/2505 (36.2%) farmers responded, with 757 responses (30.2%) deemed eligible for inclusion. Farmers generally fell into one of two categories: those that reported not applying biosecurity measures with no intention of doing so in the future, and those that reported undertaking biosecurity measures for some time. Farmers felt that biosecurity improved cattle health and welfare, but also felt that disease was inevitable. More farmers agreed with statements relating to their ability to control, rather than prevent disease. Analysis suggested a difference between influencing beliefs and whether specific types of measure were more likely to be undertaken. For example, farmers' beliefs about other stakeholders appeared to play a role in influencing the utilisation of measures preventing direct contact (e.g. nose to nose contact), rather than indirect contact (e.g. fomite transmission). The use of a combination of behaviour change models has identified key variables to use for interventional approaches targeted towards the different type of biosecurity measure (preventing direct or indirect transmission) to improve the uptake of biosecurity on dairy cattle farms in GB. Other industry stakeholders should be aware of these variables when working with farmers to achieve optimal cattle herd health.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Attitudes; Behaviour; Behaviour change model; Biosecurity; Cattle; Disease control; Disease prevention; Farmer; Questionnaire; Survey; Theory of planned behaviour; Transtheoretical model

Mesh:

Year:  2018        PMID: 29786526     DOI: 10.1016/j.prevetmed.2018.04.010

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  4 in total

Review 1.  Biosecurity in pig farms: a review.

Authors:  Laura Valeria Alarcón; Alberto Allepuz; Enric Mateu
Journal:  Porcine Health Manag       Date:  2021-01-04

2.  Ontario Dairy Producers' Perceived Barriers and Motivations to the Use of Pain Control for Disbudding and Dehorning Calves: A Qualitative Study.

Authors:  Julia Saraceni; David L Renaud; Erin Nelson; Jennifer M C Van Os; Cynthia Miltenburg; Charlotte B Winder
Journal:  Animals (Basel)       Date:  2022-04-09       Impact factor: 2.752

3.  Using a Bayesian Network Predictive Model to Understand Vulnerability of Australian Sheep Producers to a Foot and Mouth Disease Outbreak.

Authors:  Jennifer Manyweathers; Yiheyis Maru; Lynne Hayes; Barton Loechel; Heleen Kruger; Aditi Mankad; Gang Xie; Rob Woodgate; Marta Hernandez-Jover
Journal:  Front Vet Sci       Date:  2021-06-11

4.  Recording behaviour of indoor-housed farm animals automatically using machine vision technology: A systematic review.

Authors:  Kaitlin Wurtz; Irene Camerlink; Richard B D'Eath; Alberto Peña Fernández; Tomas Norton; Juan Steibel; Janice Siegford
Journal:  PLoS One       Date:  2019-12-23       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.