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ORIGINAL RESEARCH article
Front. Vet. Sci.
Sec. Veterinary Epidemiology and Economics
Volume 12 - 2025 | doi: 10.3389/fvets.2025.1560652
This article is part of the Research Topic Utilizing Real World Data and Real World Evidence in Veterinary Medicine: Current Practices and Future Potentials View all 10 articles
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Background: Medication error (MedE) is a leading global cause of harm in human healthcare with significance both in patient morbidity and mortality, and consequent legal and financial issues. Despite this, MedEs are a poorly explored area in veterinary medicine. Research has so far focussed on survey work and errors spontaneously reported to third parties, such as professional indemnity providers. Aim: Determine if MedEs can be successfully identified in first opinion electronic health records (EHRs) Animals: EHRs pertaining to animals treated in UK first opinion practice. Materials and Methods: Regular expressions (REGEX) were designed (with assistance from a domain expert) to identify explicit reference to MedEs in the SAVSNET EHR dataset. Identified MedEs were then classified by the linear sequence of medication therapy, the degree of harm caused, the role of the person who made the error, and the medication type involved. Results: In total, 6665 EHRs were identified by the REGEX, of which a random 2847 were manually reviewed, with 1023 (35.9%) matching the MedEs case definition. Of these MedEs, 29.5% (n=302) caused mild harm to the patient, 2.8% (n= 27) moderate harm and 0.2% (n= 2) severe harm. MedEs were most frequent during the 'drug administered' phase (51.4%) and within this phase, 'dosing errors' were most common (68.1%). The most common medication types, associated with 'drug administered' phase MedEs were vaccinations (27.1%) and non-steroidal anti-inflammatory drugs (19.0%). Conclusion: EHRs are a useful source of data on MedEs. MedEs are a common cause of patient harm in veterinary practice. The data provided here highlights drug classes at higher risk of problems for which mitigating action and/or education interventions are indicated.
Keywords: Adverse event, Veterinary Medicine, Informatics, Regex, General Practice, Patient Safety, Medical Errors, Pharmacovigilance
Received: 14 Jan 2025; Accepted: 28 Mar 2025.
Copyright: © 2025 Petrou, Davies, Aoun, Radford, Singleton, Noble and Killick. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
David R Killick, University of Liverpool, Liverpool, L69 7ZX, North West England, United Kingdom
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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