ReviewSociology of health & illness2020
Animals, veterinarians and the sociology of diagnosis.
Review in Sociology of health & illness, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Drivers of decision making in pain diagnosis and treatment: Findings from an ethnographic study of veterinary practice.Equine veterinary journal · 2026Article
- Application of NMR-based metabolomics and machine learning for non-invasive disease screening in dogs.Frontiers in veterinary science · 2026Article
- Past, present and imaginary: Pathography in all its forms.Health (London, England : 1997) · 2023Article
- Animal research, ethical boundary-work, and the geographies of veterinary expertise.Transactions (Institute of British Geographers : 1965) · 2023Article
- Justifying Euthanasia: A Qualitative Study of Veterinarians' Ethical Boundary Work of "Good" Killing.Animals : an open access journal from MDPI · 2023Article
- "What If It Was Your Dog?" Resource Shortages and Decision-Making in Veterinary Medicine-A Vignette Study with German Veterinary Students.Veterinary sciences · 2023Article
- Perceived role of the veterinarian in promoting dairy cattle welfare.Frontiers in veterinary science · 2023Article
- Accessing veterinary healthcare during the COVID-19 pandemic: A mixed-methods analysis of UK and Republic of Ireland dog owners' concerns and experiences.The Veterinary record · 2022Article
- Coalitions of touch: Balancing restraint and haptic soothing in the veterinary clinic.Sociology of health & illness · 2022Article
- Vets and Vaccines: A Discursive Analysis of Pet Vaccine Critique.Frontiers in veterinary science · 2022Article
- Veterinary Diagnostic Practice and the Use of Rapid Tests in Antimicrobial Stewardship on UK Livestock Farms.Frontiers in veterinary science · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
While sociologists of medicine have focused their efforts on understanding human health, illness, and medicine, veterinary medical practice has not yet caught their attention in any sustained way. In this critical review article, we use insights from the sociology of diagnosis literature to explore veterinary practice, and aim to demonstrate the importance of animals to sociological understandings of health, illness and disease. As in human medicine, our analysis shows the importance of diagnosis in creating and maintaining the power and authority of the veterinary professional. However, we then explore how diagnosis operates as a kind of dance, where professional authority can be challenged, particularly in light of the complex ethical responsibilities and clinical interactions that result from the triad of professional/owner/animal patient. Finally, we consider diagnosis via the precept of entanglement, and raise the intriguing possibility of interspecies health relations, whereby decision-making in human health care may be influenced by experiences in animal health care and vice-versa. In our conclusion, we argue that this analysis provides opportunities to scholars researching diagnosis in human health care, particularly around the impact of commercial drivers; has implications for veterinary and public health practitioners; and should help animate the emerging sociology of veterinary medicine.
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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.