使用家庭血压读数来管理高血压患者的临床决策支持系统:范围审查。

IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Aminath Shiwaza Moosa, Jun Jie Benjamin Seng, Chirk Jenn Ng
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引用次数: 0

摘要

背景:家庭血压(HBP)是指导临床医生管理高血压患者的重要参数。然而,在使用这些记录来管理患者时,医生面临着挑战,特别是在做出临床决策时对记录的获取、整合和解释方面。临床决策支持系统(cdss)已被提出以应对这些挑战;然而,目前的文献显示cdss用于高血压管理的显著异质性和差距。目的:本研究旨在总结现有的cdss使用HBP读数来管理高血压患者的研究。方法:我们于2024年4月1日在PubMed、Embase和Scopus中进行了范围综述。结果按照PRISMA-ScR(系统评价和荟萃分析扩展范围评价的首选报告项目)清单报告。在门诊的成年高血压患者中使用cdss与HBP监测相结合的研究被纳入。非英语研究被排除在外。评估的结果包括用于CDSS开发的理论框架、CDSS组件(数据捕获、处理和输出)、临床结果、用户体验和实施过程。结果:在筛选的5023篇文献中,纳入33篇(0.66%)。大多数研究在美国进行(16/33,49%),为随机对照试验(21/33,64%)。近三分之二的cdss(21/ 33.3, 64%)是计算机化的。33项研究中只有1项(3%)报告使用了CDSS发展的理论框架。HBP的记录和上传主要是自动的(23/33,70%)。所有计算机化cdss(21/ 33,64%)使用基于规则的算法,大多数(19/ 21,91%)纳入了超出参考范围的结果警报触发器。超过三分之一的研究(13/ 33,39%)是基于高血压指南的。在报告结果的研究中,大多数报告了血压改善(25/ 29,86%)和抗高血压药物调整(16/ 19,84%)。患者和临床医生对便利性和远程监测表示赞赏(10/ 33,30%),但报告了可用性和计算机cdss获取方面的挑战(2/ 21,10%)。在使用非计算机化cdss的研究中(12/33,36%),所有研究都纳入了患者教育,而使用计算机化cdss的研究中,近三分之二(13/21,62%)的研究也纳入了患者教育。5%(1/21)的计算机化cdss和25%(3/12)的非计算机化cdss接受了临床医生培训。结论:尽管cdss有望改善高血压管理,但其开发和实施仍存在差距。未来的努力应侧重于整合健壮的框架;符合指导方针;加强人工数据集成;并解决可用性以最大化有效性、采用率和用户满意度。试验注册:开放科学框架26zmn;https://osf.io/26zmn。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical Decision Support Systems Using Home Blood Pressure Readings to Manage Patients With Hypertension: Scoping Review.

Background: Home blood pressure (HBP) is an important parameter that guides clinicians in managing hypertension in patients. However, in using these records to manage patients, physicians face challenges, particularly regarding access, integration, and interpretation of the records when making clinical decisions. Clinical decision support systems (CDSSs) have been proposed to address these challenges; however, current literature reveals significant heterogeneity and gaps in CDSSs used for hypertension management.

Objective: This study aimed to summarize existing studies on CDSSs that use HBP readings to manage patients with hypertension.

Methods: We conducted a scoping review, with searches performed in PubMed, Embase, and Scopus on April 1, 2024. The results were reported in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist. Studies that used CDSSs integrated with HBP monitoring among adult patients with hypertension in outpatient settings were included. Non-English studies were excluded. Outcomes assessed included the theoretical frameworks used for CDSS development, CDSS components (data capture, processing, and output), clinical outcomes, user experiences, and implementation processes.

Results: Of the 5023 articles screened, 33 (0.66%) were included. Most of the studies were conducted in the United States (16/33, 49%) and were randomized controlled trials (21/33, 64%). Nearly two-thirds of the CDSSs (21/33, 64%) were computerized. Only 1 (3%) of the 33 studies reported using a theoretical framework for CDSS development. HBP recording and uploading were predominantly automatic (23/33, 70%). All computerized CDSSs (21/33, 64%) used rule-based algorithms, and most (19/21, 91%) incorporated alert triggers for results outside the reference range. More than a third of the studies (13/33, 39%) were based on hypertension guidelines. Among studies that reported outcomes, most reported improved blood pressure (25/29, 86%) and adjustment in antihypertensive medications (16/19, 84%). Patients and clinicians appreciated the convenience and remote monitoring (10/33, 30%) but reported challenges with usability and access to computerized CDSSs (2/21, 10%). Of the studies using noncomputerized CDSSs (12/33, 36%), all incorporated patient education, while nearly two-thirds of the studies using computerized CDSSs (13/21, 62%) did the same. Clinician training was reported in 5% (1/21) of the computerized CDSSs and 25% (3/12) of the noncomputerized CDSSs.

Conclusions: While CDSSs hold promise for improving hypertension management, gaps remain in their development and implementation. Future efforts should focus on integrating robust frameworks; aligning with guidelines; enhancing manual data integration; and addressing usability to maximize effectiveness, adoption, and user satisfaction.

Trial registration: Open Science Framework 26zmn; https://osf.io/26zmn.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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