Erzkamp Susanne, Köberlein-Neu Juliane, Rose Olaf
Elefanten-Apotheke gegr. 1575, Steinstr. 14, 48565, Steinfurt, Germany.
Center for Health Economics and Health Services Research, Schumpeter School of Business and Economics, University of Wuppertal, Rainer-Gruenter-Str. 21 Gebäude FN (1. OG), 42119, Wuppertal, Germany.
Drug Saf. 2021 Mar;44(3):313-325. doi: 10.1007/s40264-020-01016-0. Epub 2020 Oct 31.
There are several barriers to conducting medication management in nursing homes. Our project aimed to develop an algorithm that guides and supports pharmacists to perform this clinical service.
Phase I of the project examined the practitioner and patient perspectives on the medication process in nursing homes. The mixed methods approach consisted of interviews with qualitative content analysis and a quantitative questionnaire. Phase IIa scoped existing research and comprised a three-stepped systematic review. It was registered in the International Prospective Register of Systematic Reviews (CRD42017065002). Results of the first two steps were assessed for quality. Phase IIb was performed as a Delphi survey. The developed algorithm was tested in nursing homes. The primary endpoint was the number and type of detected drug-related problems. The study was conducted between June 2016 and December 2018 (Deutsches-Register-Klinischer-Studien-ID: DRKS00010995).
Interviews were held with 21 healthcare practitioners and six patients. Frequent and relevant aspects of the medication process in nursing homes were identified. The systematic reviews included 28 reviews, 12 interventional studies and 1450 non-interventional studies. As a result of the Delphi survey, two new aspects were added. Testing of the drafted algorithm was done in 73 nursing home residents. A mean of 6.3 drug-related problems were detected. Sample cases were executed in a mean time of 21 min by community pharmacists.
The developed and consented algorithm can guide pharmacists in conducting medication management in a timely and effective manner. It might serve as a facilitator to improve collaboration and quality of medication in nursing home residents.
在养老院进行药物管理存在若干障碍。我们的项目旨在开发一种算法,以指导和支持药剂师提供这项临床服务。
项目的第一阶段考察了从业者和患者对养老院药物管理流程的看法。混合方法包括采用定性内容分析的访谈和定量问卷调查。第二阶段a对现有研究进行了范围界定,并进行了三步系统评价。该评价已在国际系统评价前瞻性注册库(注册号:CRD42017065002)登记。前两步的结果进行了质量评估。第二阶段b进行了德尔菲调查。所开发的算法在养老院进行了测试。主要终点是检测到的药物相关问题的数量和类型。该研究于2016年6月至2018年12月进行(德国临床试验注册编号:DRKS00010995)。
与21名医疗从业者和6名患者进行了访谈。确定了养老院药物管理流程中常见且相关的方面。系统评价纳入了28篇综述、12项干预性研究和1450项非干预性研究。德尔菲调查结果新增了两个方面。对73名养老院居民进行了拟定算法的测试。平均检测到6.3个药物相关问题。社区药剂师处理样本病例的平均时间为21分钟。
所开发并经认可的算法能够及时、有效地指导药剂师进行药物管理。它可能有助于改善养老院居民用药的协作和质量。