Development of an animal health testing tool to reduce antimicrobial use on farms: perceptions, implications, and needs of Irish dairy farmers and farm veterinarians

Author:

McGrath KarenORCID,Regan Áine,Kennedy Emer,Russell Tomás

Abstract

Abstract Background The threat of antimicrobial resistance is triggering the need for behavioural change towards antimicrobial use on Irish farms. Newly introduced veterinary medicine regulations are mandating the restricted and more prudent use of antimicrobials in the animal health sector. The need to reduce antimicrobials has placed a greater emphasis on the importance of animal health testing, however, issues with current testing practices are affecting diagnosis and subsequent drug usage. There is potential for digital technologies to address these issues and reduce antimicrobial use on farms, however, for these tools to be successful, they would need to be developed in collaboration with future end users. Results Using qualitative approaches (focus groups), this study engages with dairy farmers and farm veterinary practitioners to detail current challenges with animal health diagnosis and to explore the initial development of a rapid, on-farm animal health testing tool to address these challenges. Issues with timing and testing, the role of knowledge and experience, and veterinarian availability all affect the ability of farmers and veterinarians to diagnose animal health issues on farm. These issues are having negative implications including the increased and unnecessary use of antimicrobials. An on-farm testing tool would help mitigate these effects by allowing veterinarians to achieve rapid diagnosis, facilitating the timely and targeted treatment of animal illnesses, helping to reduce overall antimicrobial use on farms. However, engagement with end users has highlighted that if a tool like this is not developed correctly, it could have unintended negative consequences such as misdiagnosis, increased antimicrobial use, challenges to farmer-veterinarian relationships, and data misuse. This study outlines initial end user needs and requirements for a testing tool but suggests that in order to successfully design and develop this tool, co-design approaches such as Design Thinking should be applied; to mitigate future negative impacts, and to ensure a testing tool like this is designed specifically to address Irish dairy farmers and farm veterinarians’ values and needs, ensuring responsible and successful uptake and use. Conclusions Digital tools can be effective in reducing antimicrobial use on farms, however, to be successful, these tools should be designed in a user centred way.

Publisher

Springer Science and Business Media LLC

Reference30 articles.

1. Huey S, Kavanagh M, Regan A, Dean M, McKernan C, McCoy F, et al. Engaging with selective dry cow therapy: understanding the barriers and facilitators perceived by Irish farmers. Ir Vet J. 2021;74:28.

2. World Health Organisation, 2020. Antibiotic Resistance [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/antibiotic-resistance#:~:text=Only%20give%20antibiotics%20to%20animals,alternatives%20to%20antibiotics%20when%20available. [Accessed 10 October 2023].

3. Regulation (EU) 2019/6 of the European Parliament and of the Council of 11 December 2018 on veterinary medicinal products and repealing Directive 2001/82/EC. Official Journal L4, 43–167. 07 January 2019. http://data.europa.eu/eli/reg/2019/6/oj.

4. DAFM, 2021. Veterinary Medicines and Medicated Feed. https://www.gov.ie/en/publication/f7968-veterinary-medicines-and-medicated-feed/ (accessed 1st September 2022).

5. European Commission 2020. From Farm to Fork: Our food, our health, our planet,our future (2020, May 20). Retrieved from European Commission: https://ec.europa.eu/commission/presscorner/detail/en/fs_20_908.

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