Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, the Netherlands.
Department of Internal Medicine, Section of Geriatric Medicine, Amsterdam Public Health Research Institute, AmsterdamUMC, University of Amsterdam, Amsterdam, the Netherlands.
Int J Med Inform. 2021 Aug;152:104506. doi: 10.1016/j.ijmedinf.2021.104506. Epub 2021 May 21.
A medication-related Clinical Decision Support System (CDSS) is an application that analyzes patient data to provide assistance in medication-related care processes. Despite its potential to improve the clinical decision-making process, evidence shows that clinicians do not always use CDSSs in such a way that their potential can be fully realized. This systematic literature review provides an overview of frequently-reported barriers and facilitators for acceptance of medication-related CDSS.
Search terms and MeSH headings were developed in collaboration with a librarian, and database searches were conducted in Medline, Scopus, Embase and Web of Science Conference Proceedings. After screening 5404 records and 140 full papers, 63 articles were included in this review. Quality assessment was performed for all 63 included articles. The identified barriers and facilitators are categorized within the Human, Organization, Technology fit (HOT-fit) model.
A total of 327 barriers and 291 facilitators were identified. Results show that factors most often reported were related to (a lack of) usefulness and relevance of information, and ease of use and efficiency of the system.
This review provides a valuable insight into a broad range of barriers and facilitators for using a medication-related CDSS as perceived by clinicians. The results can be used as a stepping stone in future studies developing medication-related CDSSs.
药物相关临床决策支持系统（CDSS）是一种分析患者数据以提供药物相关护理流程辅助的应用程序。尽管它有可能改善临床决策过程，但有证据表明，临床医生并非总是以能够充分发挥其潜力的方式使用 CDSS。本系统综述概述了药物相关 CDSS 接受度方面常见的障碍因素和促进因素。
与一名图书管理员合作制定了检索词和 MeSH 标题，并在 Medline、Scopus、Embase 和 Web of Science Conference Proceedings 中进行了数据库检索。经过筛选 5404 条记录和 140 篇全文后，共有 63 篇文章纳入本综述。对所有 63 篇纳入文章进行了质量评估。确定的障碍因素和促进因素归类于人类、组织、技术适配（HOT-fit）模型内。
共确定了 327 个障碍因素和 291 个促进因素。结果表明，报告最多的因素通常与信息的有用性和相关性以及系统的易用性和效率有关。
本综述深入了解了临床医生对使用药物相关 CDSS 的广泛障碍因素和促进因素的看法。研究结果可以作为未来开发药物相关 CDSS 研究的基础。
