什么有助于成功实施支持心血管疾病共同决策的数字决策辅助工具?系统回顾。

IF 3.9 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS European heart journal. Digital health Pub Date : 2023-01-01 DOI:10.1093/ehjdh/ztac070
Loes J Peters, Alezandra Torres-Castaño, Faridi S van Etten-Jamaludin, Lilisbeth Perestelo Perez, Dirk T Ubbink
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引用次数: 2

摘要

目的:虽然数字决策辅助(DAs)已经发展到改善共同决策(SDM),同样在心血管领域,其实施似乎具有挑战性。本研究旨在系统回顾心血管疾病数字化DAs成功实施的预测因素。方法与结果:检索自成立至2021年11月在MEDLINE、Embase、PsycInfo、CINAHL和Cochrane Library进行。两名审稿人独立评估了研究资格和偏倚风险。数据是通过使用预定义的变量列表提取的。纳入了5项高质量的研究,涉及215名患者和235名临床医生的数据。研究集中于DAs对冠状动脉疾病、心房颤动和终末期心力衰竭患者的治疗。临床医生报告说,DA的含量、有效性以及对SDM和DA使用缺乏知识是实施障碍。患者报告倾向于另一种形式,临床医生使用DA的方式和即将到来的干预的焦虑作为障碍。此外,障碍还与发展评估的时间和信息和通信技术(ICT)整合、会诊时间有限、团队成员之间缺乏沟通以及维持医院的治疗次数有关。临床医生对现有结构的偏好激发和DAs实施的积极态度被报告为促进因素。结论:提高心血管疾病数字化数据处理的应用,需要优化数据处理的时机,培训医疗保健专业人员SDM和数据处理的使用,并将数据处理整合到现有的ICT结构中。目前的证据虽然有限,但已经为如何改善心血管医学中DA的实施提供了建议。
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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What helps the successful implementation of digital decision aids supporting shared decision-making in cardiovascular diseases? A systematic review.

Aims: Although digital decision aids (DAs) have been developed to improve shared decision-making (SDM), also in the cardiovascular realm, its implementation seems challenging. This study aims to systematically review the predictors of successful implementation of digital DAs for cardiovascular diseases.

Methods and results: Searches were conducted in MEDLINE, Embase, PsycInfo, CINAHL, and the Cochrane Library from inception to November 2021. Two reviewers independently assessed study eligibility and risk of bias. Data were extracted by using a predefined list of variables. Five good-quality studies were included, involving data of 215 patients and 235 clinicians. Studies focused on DAs for coronary artery disease, atrial fibrillation, and end-stage heart failure patients. Clinicians reported DA content, its effectivity, and a lack of knowledge on SDM and DA use as implementation barriers. Patients reported preference for another format, the way clinicians used the DA and anxiety for the upcoming intervention as barriers. In addition, barriers were related to the timing and Information and Communication Technology (ICT) integration of the DA, the limited duration of a consultation, a lack of communication among the team members, and maintaining the hospital's number of treatments. Clinicians' positive attitude towards preference elicitation and implementation of DAs in existing structures were reported as facilitators.

Conclusion: To improve digital DA use in cardiovascular diseases, the optimum timing of the DA, training healthcare professionals in SDM and DA usage, and integrating DAs into existing ICT structures need special effort. Current evidence, albeit limited, already offers advice on how to improve DA implementation in cardiovascular medicine.

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