Development of the ADFICE_IT clinical decision support system to assist deprescribing of fall-risk increasing drugs: A user-centered design approach

Sara Groos, Kelly de Wildt, Bob van de Loo, Annemiek Linn, Stephanie Medlock, Kendrick Shaw, Eric Herman, Lotta Seppala, Kim Ploegmakers, Natasja van Schoor, Julia van Weert, Nathalie van der Velde
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Abstract

Introduction: Deprescribing fall-risk increasing drugs (FRIDs) is a promising intervention for reducing the risk of falling in older adults. Applying appropriate deprescribing in practice can be difficult due to the outcome uncertainties associated with stopping the use of FRIDs. The ADFICE_IT study addresses this complexity with a clinical decision support system (CDSS) that facilitates optimum deprescribing of FRIDs through use of a fall-risk prediction model, aggregation of deprescribing guidelines, and joint medication management. The development process of the CDSS is described in this paper. Methods: Development followed a user-centered design approach in which users and experts were involved throughout each phase. In phase I, a prototype of the CDSS was developed which involved a scoping and systematic literature review, European survey (n = 581), and semi-structured interviews with physicians (n = 19), as well as the aggregation and testing of deprescribing guidelines and the development of the fall-risk prediction model. In phase II, the feasibility of the CDSS was tested by means of two usability testing rounds with end users (n = 11). Results: The final CDSS consists of five web pages. A connection between the Electronic Health Record allows for the retrieval of patient data into the CDSS. Key design requirements for the CDSS include easy-to-use features for fast-paced clinical practice environments, actionable deprescribing recommendations, information transparency, and visualization of the patient’s fall-risk estimation. Key elements for the software include a modular architecture, open source, and good security. Conclusion: The ADFICE_IT CDSS supports physicians in deprescribing FRIDs optimally to prevent falls in older patients. Due to continuous user and expert involvement, each new feedback round led to an improved version of the system. Currently, a multicenter, cluster-randomized controlled trial with process evaluation at hospitals in the Netherlands is being conducted to test the effect of the CDSS on falls.
开发 ADFICE_IT 临床决策支持系统,以协助停用增加跌倒风险的药物:以用户为中心的设计方法
简介停用增加跌倒风险的药物(FRIDs)是降低老年人跌倒风险的一项很有前景的干预措施。由于停止使用 FRIDs 的结果具有不确定性,因此在实践中适当地取消处方可能会很困难。ADFICE_IT 研究利用临床决策支持系统 (CDSS) 解决了这一复杂问题,该系统通过使用跌倒风险预测模型、汇总停药指南和联合用药管理,促进了 FRIDs 的最佳停药。本文介绍了该决策支持系统的开发过程:开发过程采用以用户为中心的设计方法,每个阶段都有用户和专家参与。在第一阶段,开发了 CDSS 的原型,包括范围界定和系统性文献综述、欧洲调查(n = 581)、对医生的半结构式访谈(n = 19),以及汇总和测试去处方化指南和开发跌倒风险预测模型。在第二阶段,通过对最终用户(n = 11)进行两轮可用性测试,检验了 CDSS 的可行性:最终的 CDSS 由五个网页组成。通过与电子病历的连接,可以在 CDSS 中检索病人数据。CDSS 的主要设计要求包括:在快节奏的临床实践环境中易于使用的功能、可操作的去处方化建议、信息透明度以及患者跌倒风险评估的可视化。软件的关键要素包括模块化架构、开放源代码和良好的安全性:ADFICE_IT CDSS 支持医生以最佳方式开具 FRID,以防止老年患者跌倒。由于用户和专家的持续参与,每一轮新的反馈都会改进系统版本。目前,正在荷兰的医院开展一项多中心、分组随机对照试验,对过程进行评估,以检验 CDSS 对跌倒的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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