What helps the successful implementation of digital decision aids supporting shared decision-making in cardiovascular diseases? A systematic review.

IF 3.9 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
European heart journal. Digital health Pub Date : 2022-11-10 eCollection 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: 0

Abstract

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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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?系统综述。
目的:尽管数字决策辅助工具(DAs)的开发旨在改善共同决策(SDM),但在心血管领域,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辅助决策系统成功实施的预测因素:从开始到 2021 年 11 月,在 MEDLINE、Embase、PsycInfo、CINAHL 和 Cochrane 图书馆进行了检索。两名审稿人独立评估研究资格和偏倚风险。数据提取采用预定义的变量列表。共纳入了五项高质量的研究,涉及 215 名患者和 235 名临床医生的数据。研究主要针对冠心病、心房颤动和终末期心力衰竭患者的DA。临床医生报告称,DA 内容、其有效性以及缺乏 SDM 和 DA 使用方面的知识是实施障碍。患者报告说,他们更喜欢另一种形式、临床医生使用数据采集的方式以及对即将到来的干预的焦虑是实施障碍。此外,障碍还与设计议程的时间安排和信息通信技术(ICT)的整合、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。临床医生对征询偏好的积极态度以及在现有结构中实施DAs被认为是促进因素:为提高数字诊断在心血管疾病中的应用,需要特别注意诊断的最佳时机、对医护人员进行 SDM 和诊断使用方面的培训以及将诊断纳入现有的信息和通信技术结构。目前的证据尽管有限,但已就如何在心血管医学中更好地实施数字诊断提供了建议。
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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