支持心力衰竭患者自我保健的智能健康生态系统的特征:范围审查。

Q2 Medicine
JMIR Cardio Pub Date : 2022-11-02 DOI:10.2196/36773
Rebecca Nourse, Elton Lobo, Jenna McVicar, Finn Kensing, Sheikh Mohammed Shariful Islam, Lars Kayser, Ralph Maddison
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引用次数: 0

摘要

背景:心力衰竭的治疗是复杂的。需要创新的解决方案来支持卫生保健提供者和心力衰竭患者的决策和自我保健行为。近年来,更复杂的技术使智能卫生生态系统等新的卫生保健模式成为可能。智能卫生生态系统利用数据收集、智能数据处理和通信来支持慢性病的诊断、管理和一级和二级预防。目前,关于心力衰竭患者智能健康生态系统特征的信息很少。目的:我们旨在识别和描述支持心力衰竭自我护理的智能健康生态系统的特征。方法:我们使用乔安娜布里格斯研究所的方法进行了范围审查。检索了2008年1月至2021年9月的MEDLINE、Embase、CINAHL、PsycINFO、IEEE explore和ACM数字图书馆数据库。搜索策略侧重于识别描述支持心力衰竭自我护理的智能健康生态系统的文章。共有2名审稿人对文章进行筛选,并从纳入的全文中提取相关数据。结果:剔除重复项后,共筛选1543篇文献,其中34篇文献代表13项干预措施纳入本综述。为了支持自我保健,干预措施使用传感器和问卷收集数据,并使用定制方法提供个性化支持。干预措施总共使用了34种行为改变技术,这些技术通过8种功能的组合来促进心力衰竭患者:自动反馈、监测(集成和手动输入)、数据展示、教育、提醒、与卫生保健提供者的沟通和心理支持。此外,支持医疗保健提供者的功能还包括数据表示、警报、警报、通信工具、远程医疗计划修改和健康记录集成。结论:本范围综述发现,支持心力衰竭自我护理的智能健康生态系统的报道很少,而那些已报道的生态系统并没有为所有领域的自我护理提供全面的支持。本综述描述了已确定干预措施的技术和行为组成部分,提供了可作为设计和测试未来智能卫生生态系统的起点的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Characteristics of Smart Health Ecosystems That Support Self-care Among People With Heart Failure: Scoping Review.

Characteristics of Smart Health Ecosystems That Support Self-care Among People With Heart Failure: Scoping Review.

Characteristics of Smart Health Ecosystems That Support Self-care Among People With Heart Failure: Scoping Review.

Background: The management of heart failure is complex. Innovative solutions are required to support health care providers and people with heart failure with decision-making and self-care behaviors. In recent years, more sophisticated technologies have enabled new health care models, such as smart health ecosystems. Smart health ecosystems use data collection, intelligent data processing, and communication to support the diagnosis, management, and primary and secondary prevention of chronic conditions. Currently, there is little information on the characteristics of smart health ecosystems for people with heart failure.

Objective: We aimed to identify and describe the characteristics of smart health ecosystems that support heart failure self-care.

Methods: We conducted a scoping review using the Joanna Briggs Institute methodology. The MEDLINE, Embase, CINAHL, PsycINFO, IEEE Xplore, and ACM Digital Library databases were searched from January 2008 to September 2021. The search strategy focused on identifying articles describing smart health ecosystems that support heart failure self-care. A total of 2 reviewers screened the articles and extracted relevant data from the included full texts.

Results: After removing duplicates, 1543 articles were screened, and 34 articles representing 13 interventions were included in this review. To support self-care, the interventions used sensors and questionnaires to collect data and used tailoring methods to provide personalized support. The interventions used a total of 34 behavior change techniques, which were facilitated by a combination of 8 features for people with heart failure: automated feedback, monitoring (integrated and manual input), presentation of data, education, reminders, communication with a health care provider, and psychological support. Furthermore, features to support health care providers included data presentation, alarms, alerts, communication tools, remote care plan modification, and health record integration.

Conclusions: This scoping review identified that there are few reports of smart health ecosystems that support heart failure self-care, and those that have been reported do not provide comprehensive support across all domains of self-care. This review describes the technical and behavioral components of the identified interventions, providing information that can be used as a starting point for designing and testing future smart health ecosystems.

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来源期刊
JMIR Cardio
JMIR Cardio Computer Science-Computer Science Applications
CiteScore
3.50
自引率
0.00%
发文量
25
审稿时长
12 weeks
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