Kempen Thomas G H, Hedström Mariann, Olsson Hanna, Johansson Amanda, Ottosson Sara, Al-Sammak Yousif, Gillespie Ulrika
Hospital Pharmacy Department, Uppsala University Hospital, Uppsala, Sweden.
Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Int J Clin Pharm. 2019 Feb;41(1):198-206. doi: 10.1007/s11096-018-0768-8. Epub 2018 Dec 26.
Background Medication-related hospital admissions (MRAs) are frequently used to measure outcomes in studies involving medication reviews. The process of identifying MRAs is subjective and time-consuming, and practical, validated alternatives are required. Objective The aim of this study was to develop and validate a practical tool to identify MRAs. Setting Uppsala University Hospital, Sweden. Method We reviewed existing literature on methods to identify MRAs. The tool AT-HARM10 was developed using an iterative process including content validity and feasibility testing. The tool's inter-rater reliability (IRR) and criterion-related validity (CRV) were assessed: four pairs of either final-year undergraduate or postgraduate pharmacy students applied the tool to one of two batches of 50 older patients' hospital admissions. Assessment of the same 100 admissions by two experienced clinicians acted as gold standard. Main outcome measure Cohen's and Fleiss' kappa for IRR, and sensitivity, specificity, and positive and negative predictive value for CRV. Results AT-HARM10 consists of ten closed questions to distinguish between admissions that are unlikely to be and those that are possibly medication-related. The IRR was moderate to substantial (Cohen's kappa values were 0.45-0.75 and Fleiss' kappa values were 0.46 and 0.58). The sensitivity and specificity values were 70/86% and 74/70%, positive and negative predictive values were 73/74% and 71/83% respectively. Both AT-HARM10 and the gold standard identified approximately 50% of the admissions as MRAs. Conclusion AT-HARM10 has been developed as a practical tool to identify MRAs and the tool is valid for use in older patients by final-year undergraduate and postgraduate pharmacy students.
在涉及药物评估的研究中,与药物相关的住院(MRAs)常被用于衡量结果。识别MRAs的过程主观且耗时,因此需要实用且经过验证的替代方法。目的:本研究的目的是开发并验证一种识别MRAs的实用工具。地点:瑞典乌普萨拉大学医院。方法:我们回顾了关于识别MRAs方法的现有文献。使用包括内容效度和可行性测试的迭代过程开发了AT-HARM10工具。评估了该工具的评分者间信度(IRR)和与标准相关的效度(CRV):四对本科最后一年或研究生药学专业学生将该工具应用于两批各50例老年患者住院病例中的一批。由两名经验丰富的临床医生对相同的100例住院病例进行评估作为金标准。主要结局指标:用于IRR的Cohen's和Fleiss' kappa,以及用于CRV的敏感性、特异性、阳性和阴性预测值。结果:AT-HARM10由十个封闭式问题组成,用于区分不太可能与药物相关和可能与药物相关的住院病例。IRR为中等至较高(Cohen's kappa值为0.45 - 0.75,Fleiss' kappa值为0.46和0.58)。敏感性和特异性值分别为70/86%和74/70%,阳性和阴性预测值分别为73/74%和71/83%。AT-HARM10和金标准均将约50%的住院病例识别为MRAs。结论:已开发出AT-HARM10作为识别MRAs的实用工具,该工具对本科最后一年和研究生药学专业学生用于老年患者是有效的。