Evidence map›Paper›PMID 40714975›Full record

ArticleEquine veterinary journal2026

Drivers of decision making in pain diagnosis and treatment: Findings from an ethnographic study of veterinary practice.

Rebecca Smith, Elizabeth Perkins, Gina Pinchbeck, Joanne Ireland

Abstract read
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Article in Equine veterinary journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Rebecca SmithDepartment of Equine Clinical Science, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, UK.ORCID https://orcid.org/0009-0007-2685-728X
Elizabeth PerkinsDepartment of Primary Care and Mental Health, Institute of Population Health, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, UK.
Gina PinchbeckDepartment of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, UK.
Joanne IrelandDepartment of Equine Clinical Science, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, UK.ORCID https://orcid.org/0000-0002-5737-1502

Funding

Horse Trust G2026
6 · The paper itself

Abstract

backgroundPoor pain management in horses is a welfare concern. The 'diagnosis' of pain cannot be separated from the broader set of interactions through which it emerges. The interactions that take place during veterinary consultations shape the ways in which, or whether, pain management is discussed.

objectivesTo understand owners' and veterinarians' decision making in relation to chronic pain and its management. STUDY

designQualitative ethnographic study.

methodsData were collected from four veterinary practices in Great Britain between May 2023 and April 2024. Around 200 h of ethnographic observation was undertaken, including the observation of 47 consultations. Additionally, semi-structured interviews with 18 veterinarians and 25 owners/carers were conducted. Principles of grounded theory were drawn upon throughout the collection and analysis of data.

resultsThis study focusses on the veterinary consultation, discussing how the interplay of actors-both human and nonhuman-affected pain diagnosis and treatment decision making. There were four key processes that were common across the consultations observed: 'Establishing the presence of painful issues', 'Searching for the cause', 'The (de)escalation of issues of concern' and 'Targeting the source of pain'. In each consultation, dynamic multi-actor interactions coproduced matters of concern, and these were the 'things' to which peoples' perceptions of pain were related. Pain diagnosis was not a 'matter of fact', but emerged through relational practices. Consultations could move towards a focus on the horse's management, however, other matters of concern could obfuscate discussions about the subjective experience of the horse. MAIN LIMITATIONS: Focus on leisure horse population.

conclusionsPain could become a matter of veterinary concern if it emerged through unique contexts and practices. The nature of presentation to the veterinarian as well as the (re)construction of issues affecting the horse through veterinary medical practices could create tensions for pain management. Opportunities to improve practice are highlighted.

Indexed as

Decision MakingHorse DiseasesPainPain ManagementVeterinariansAnimalsAnthropology, CulturalFemaleHorsesHumansMaleUnited KingdomVeterinary Medicinegrounded theoryhorsehorse‐human relationshipqualitativesociologywelfare

Identifiers

PMID40714975
PMCPMC13041593

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LicenceCC BY
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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.