Health Economics, Department of Economics and Business, Justus Liebig University, Giessen, Germany.
JMIR Mhealth Uhealth. 2019 Jun 16;7(6):e13641. doi: 10.2196/13641.
Mobile health (mHealth) devices can be used for the diagnosis of atrial fibrillation. Early diagnosis allows better treatment and prevention of secondary diseases like stroke. Although there are many different mHealth devices to screen for atrial fibrillation, their accuracy varies due to different technological approaches.
We aimed to systematically review available studies that assessed the accuracy of mHealth devices in screening for atrial fibrillation. The goal of this review was to provide a comprehensive overview of available technologies, specific characteristics, and accuracy of all relevant studies.
PubMed and Web of Science databases were searched from January 2014 until January 2019. Our systematic review was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analyses. We restricted the search by year of publication, language, noninvasive methods, and focus on diagnosis of atrial fibrillation. Articles not including information about the accuracy of devices were excluded.
We found 467 relevant studies. After removing duplicates and excluding ineligible records, 22 studies were included. The accuracy of mHealth devices varied among different technologies, their application settings, and study populations. We described and summarized the eligible studies.
Our systematic review identifies different technologies for screening for atrial fibrillation with mHealth devices. A specific technology's suitability depends on the underlying form of atrial fibrillation to be diagnosed. With the suitable use of mHealth, early diagnosis and treatment of atrial fibrillation are possible. Successful application of mHealth technologies could contribute to significantly reducing the cost of illness of atrial fibrillation.
移动医疗(mHealth)设备可用于心房颤动的诊断。早期诊断可更好地治疗和预防中风等继发性疾病。虽然有许多不同的 mHealth 设备可用于筛查心房颤动,但由于不同的技术方法,其准确性有所不同。
我们旨在系统地回顾评估 mHealth 设备筛查心房颤动准确性的现有研究。本综述的目的是全面概述现有技术、特定特征以及所有相关研究的准确性。
我们于 2014 年 1 月至 2019 年 1 月在 PubMed 和 Web of Science 数据库中进行了检索。我们的系统评价是根据系统评价和荟萃分析的首选报告项目进行的。我们根据发表年份、语言、非侵入性方法以及对心房颤动诊断的重点限制了搜索范围。不包括设备准确性信息的文章被排除在外。
我们发现了 467 篇相关研究。在去除重复项并排除不符合条件的记录后,纳入了 22 项研究。mHealth 设备的准确性因不同技术、应用场景和研究人群而异。我们对符合条件的研究进行了描述和总结。
本系统评价确定了用于筛查心房颤动的 mHealth 设备的不同技术。特定技术的适用性取决于要诊断的潜在心房颤动形式。通过适当使用 mHealth,可实现心房颤动的早期诊断和治疗。mHealth 技术的成功应用可能有助于显著降低心房颤动的疾病成本。