Haynes K, Hennessy S, Morales K H, Gibson G A, Barnhart C, Jaipaul C K, Linkin D R
Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.
Clin Pharmacol Ther. 2008 Mar;83(3):485-8. doi: 10.1038/sj.clpt.6100322. Epub 2007 Aug 22.
Hospital pharmacovigilance systems frequently classify adverse drug event (ADE) reports on various axes such as severity and type of outcome in an attempt to better detect changes in the frequency of certain types of ADEs. The aim of this study was to measure the inter-observer reliability of an ADE classification system. Two pharmacists and two internal medicine physicians reviewed 150 pharmacist-generated ADE reports and used a structured form to classify reports on four domains: the presence or absence of process measures leading to ADE; the individual who initiated the process that potentially leads to ADE; the severity of ADE; and whether the ADE was related to dose. There was wide variation in inter-observer reliability of different elements in a classification system for ADEs. Agreement on specific processes associated with ADEs ranged from poor to moderate, which limits the ability to target accurately processes to improve drug utilization.
医院药物警戒系统经常根据各种轴对药品不良事件(ADE)报告进行分类,如严重程度和结果类型,以试图更好地检测某些类型ADEs发生频率的变化。本研究的目的是衡量一种ADE分类系统的观察者间信度。两名药剂师和两名内科医生审查了150份由药剂师生成的ADE报告,并使用一份结构化表格对报告在四个领域进行分类:导致ADE的过程措施的有无;引发潜在导致ADE过程的个人;ADE的严重程度;以及ADE是否与剂量有关。在ADEs分类系统中,不同要素的观察者间信度存在很大差异。关于与ADEs相关的特定过程的一致性从较差到中等不等,这限制了准确针对相关过程以改善药物使用的能力。