Examining the Effect of Context, Beliefs, and Values on UK Farm Veterinarians’ Antimicrobial Prescribing: A Randomized Experimental Vignette and Cross-Sectional Survey
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Antimicrobial resistance (AMR) is a pressing threat to public and animal health. There is evidence that antimicrobial prescribing and stewardship behaviors by veterinarians (vets) are influenced by non-clinical factors, such as psychological, social, and environmental factors. This study explored the role of context, beliefs, and values on vets’ antimicrobial prescribing decisions. UK-based practicing farm vets (n = 97) were recruited to an online study. Using an experimental vignette methodology, vets were randomly assigned across four conditions, to examine the effects of different contexts (pressure on farm economics, the farmer, or the vet-farmer relationship, compared to a control condition) on vets’ likelihood of prescribing antibiotics. Vets’ beliefs about different groups’ responsibility for causing and preventing AMR and vets’ values were also measured. Key findings were that context alone, values, and beliefs about groups’ responsibilities for causing AMR were not predictive of vets’ likelihood of prescribing antibiotics. However, vets’ beliefs about groups’ responsibilities for preventing AMR were predictive of an increased likelihood of prescribing antibiotics, when vets were exposed to the experimental condition of the vignette in which the vet–farmer relationship was under pressure. Farm vets also believed that different groups have different levels of responsibility for causing and preventing AMR. Results should be interpreted cautiously, given the smaller than planned for sample size, and the possibility for both false negatives and false positives. Further research is needed to explore how these findings could inform antimicrobial stewardship interventions in veterinary medicine.
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Recent surveys of cattle veterinarians in the US and UK have successfully utilised sample sizes of 36 to 97 participants to capture focused professional perspectives.
“This approach aligns with similar research in the US (9) and the UK, where recent surveys of cattle veterinarians have successfully utilised sample sizes of 36 to 97 participants to capture focused professional perspectives (40, 41).”
From Understanding antibiotic decision-making for bovine respiratory disease: a survey of UK farm veterinarians (2026) · cites this paper as [41]
The Results report a survey of 97 UK farm-animal veterinarians, most of whom often worked with cattle and sheep. The Participants section did not restrict eligibility to cattle veterinarians, and the Discussion’s Limitations section says the study missed its minimum target of 116 and does not claim a representative sample. This source supports the 97-person UK example, but not its characterization as a successful survey specifically of cattle veterinarians. (LLM, conf=0.86)
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- Authors
- Golding, S. E., Ogden, J., & Higgins, H. M.
- Affiliations
- University of Surrey (GB)
- University of Liverpool (GB)
- Corresponding author
- Golding, Sarah E.
- Venue
- Antibiotics
- Publisher
- MDPI AG
- Published
- 2021-04-15
- Volume
- 10
- Issue
- 4
- Pages
- 445
- ISSN
- 2079-6382 (ISSN-L)
- PMC
- PMC8071438
- OpenAlex
- W3154810284
- Cited by
- 14
- References
- 106
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 1 · 2023: 5 · 2022: 2 · 2021: 2
- FWCI
- 11.80
- Type
- book chapter
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Antibiotics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Open Research (University of Surrey) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Economic and Social Research Council (ES/J500148/1)
- Topics
- Life Sciences › Immunology and Microbiology › Applied Microbiology and Biotechnology › Antibiotic Use and Resistance
- Health Sciences › Health Professions › Speech and Hearing › Veterinary Practice and Education Studies
- Health Sciences › Veterinary › Small Animals › Veterinary medicine and infectious diseases
- Keywords
- antimicrobial prescribing, antimicrobial resistance, prescribing patterns
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