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dc.contributor.authorBard, AM
dc.contributor.authorHinchliffe, S
dc.contributor.authorChan, KW
dc.contributor.authorBuller, H
dc.contributor.authorReyher, KK
dc.date.accessioned2023-04-26T11:02:48Z
dc.date.issued2023-04-24
dc.date.updated2023-04-25T15:41:33Z
dc.description.abstractAntimicrobial resistance (AMR) is a global health and development threat, with calls for the optimisation of antimicrobial use (AMU) in the treatment of both humans and animals prevalent across national and international policy. Rapid, low-cost and readily available diagnostics that specifically identify pathogens and their antimicrobial susceptibility profiles have been identified as essential parts of this optimisation process, yet questions over the assumed utility of novel rapid technology as a cornerstone of tackling agricultural AMU still exist. To understand whether this technology may support the optimisation of AMU in the treatment of animal disease, this study qualitatively examines the discourse between veterinarians, laboratory representatives, veterinary researchers and (cattle) farmers within three participatory events concerning diagnostic testing on UK farms, to offer a critical examination of the interaction between veterinary diagnostic practice and agricultural AMU. Veterinarian-led discussion suggested that veterinary rationales for engaging with diagnostic testing are nuanced and complex, where veterinarians (i) were driven by both medical and non-medical motivators; (ii) had a complex professional identity influencing diagnostic-test engagement; and (iii) balanced a multitude of situated contextual factors that informed “gut feelings” on test choice and interpretation. In consequence, it is suggested that data-driven diagnostic technologies may be more palatable for veterinarians to promote to their farm clients in the pursuit of better and more sustainable AMU, whilst also being in synergy with the emerging preventative role of the farm veterinarian.en_GB
dc.description.sponsorshipEconomic and Social Research Council (ESRC)en_GB
dc.identifier.citationVol. 12(5), article 804en_GB
dc.identifier.doihttps://doi.org/10.3390/antibiotics12050804
dc.identifier.grantnumberES/P008194/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/133020
dc.identifierORCID: 0000-0001-7729-6098 (Chan, Kin Wing)
dc.language.isoenen_GB
dc.publisherMDPIen_GB
dc.rights© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)en_GB
dc.subjectVeterinary medicineen_GB
dc.subjectDiagnostic Testingen_GB
dc.subjectAntimicrobial Useen_GB
dc.subjectAntimicrobial Resistanceen_GB
dc.subjectLivestock Agricultureen_GB
dc.subjectQualitative Researchen_GB
dc.title‘I Believe What I’m Saying More Than the Test’: The Complicated Place of Rapid, Point-of-Care Tests in Veterinary Diagnostic Practiceen_GB
dc.typeArticleen_GB
dc.date.available2023-04-26T11:02:48Z
dc.identifier.issn2079-6382
dc.descriptionThis is the final version. Available on open access from MDPI via the DOI in this recorden_GB
dc.descriptionData Availability Statement: Data in this study are not readily available due to ethical restrictions. Given the personal nature of participatory event discussion material, participants consented to material derived being used only for scientific and research purposes/outputs coordinated by the research team. As such, datasets generated are deposited in a UKRI depository at termination of contract research. Requests to access the datasets should be directed to www.dialamr.com.en_GB
dc.identifier.journalAntibioticsen_GB
dc.relation.ispartofAntibiotics, 12
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-04-12
dcterms.dateSubmitted2023-01-27
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-04-24
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-04-26T11:01:13Z
refterms.versionFCDVoR
refterms.dateFOA2023-04-26T11:03:39Z
refterms.panelCen_GB
refterms.dateFirstOnline2023-04-24


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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
Except where otherwise noted, this item's licence is described as © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)