Petrou Eirini, Davies Heather, Aoun Maria, Radford Alan D, Singleton David, Noble Peter-John M, Killick David R
Department of Small Animal Clinical Science, Institute of Infection, Veterinary and Ecological Science, Leahurst, University of Liverpool, Liverpool, United Kingdom.
Adams Vets, Liverpool, United Kingdom.
Front Vet Sci. 2025 May 20;12:1560652. doi: 10.3389/fvets.2025.1560652. eCollection 2025.
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.
Determine if MedEs can be successfully identified in first opinion electronic health records (EHRs).
EHRs pertaining to animals treated in UK first opinion practice.
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.
In total, 6,665 EHRs were identified by the REGEX, of which a random 2,847 were manually reviewed, with 1,023 (35.9%) matching the MedEs case definition. Of these MedEs, 29.5% ( = 302) caused mild harm to the patient, 2.8% ( = 27) moderate harm and 0.2% ( = 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%).
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.
用药错误是全球人类医疗保健中导致伤害的主要原因，对患者的发病率和死亡率以及随之而来的法律和财务问题都具有重要意义。尽管如此，用药错误在兽医学中仍是一个未得到充分探索的领域。迄今为止，研究主要集中在调查工作以及自发向第三方（如专业赔偿提供商）报告的错误上。
确定是否可以在初诊电子健康记录（EHR）中成功识别用药错误。
与英国初诊实践中治疗的动物相关的电子健康记录。
设计正则表达式（REGEX）（在领域专家的协助下）以在SAVSNET电子健康记录数据集中识别对用药错误的明确提及。然后根据药物治疗的线性顺序、造成的伤害程度、犯错人员的角色以及所涉及的药物类型对识别出的用药错误进行分类。
通过正则表达式总共识别出6665份电子健康记录，其中随机抽取2847份进行人工审核，有1023份（35.9%）符合用药错误病例定义。在这些用药错误中，29.5%（=302）对患者造成轻度伤害，2.8%（=27）造成中度伤害，0.2%（=2）造成重度伤害。用药错误在“给药”阶段最为频繁（51.4%），在此阶段内，“剂量错误”最为常见（68.1%）。与“给药”阶段用药错误相关的最常见药物类型是疫苗（27.1%）和非甾体抗炎药（19.0%）。
电子健康记录是用药错误数据的有用来源。用药错误是兽医实践中患者伤害的常见原因。此处提供的数据突出了存在较高问题风险的药物类别，针对这些类别需要采取缓解措施和/或教育干预。
