In-Home Positioning for Remote Home Health Monitoring in Older Adults: Systematic Review.

IF 5 Q1 GERIATRICS & GERONTOLOGY
JMIR Aging Pub Date : 2024-12-02 DOI:10.2196/57320
Andrew Chan, Joanne Cai, Linna Qian, Brendan Coutts, Steven Phan, Geoff Gregson, Michael Lipsett, Adriana M Ríos Rincón
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引用次数: 0

Abstract

Background: With the growing proportion of Canadians aged >65 years, smart home and health monitoring technologies may help older adults manage chronic disease and support aging in place. Localization technologies have been used to support the management of frailty and dementia by detecting activities in the home.

Objective: This systematic review aims to summarize the clinical evidence for in-home localization technologies, review the acceptability of monitoring, and summarize the range of technologies being used for in-home localization.

Methods: The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology was followed. MEDLINE, Embase, CINAHL, and Scopus were searched with 2 reviewers performing screening, extractions, and quality assessments.

Results: A total of 1935 articles were found, with 36 technology-focused articles and 10 articles that reported on patient outcomes being included. From moderate- to high-quality studies, 2 studies reported mixed results on identifying mild cognitive dementia or frailty, while 4 studies reported mixed results on the acceptability of localization technology. Technologies included ambient sensors; Bluetooth- or Wi-Fi-received signal strength; localizer tags using radio frequency identification, ultra-wideband, Zigbee, or GPS; and inertial measurement units with localizer tags.

Conclusions: The clinical utility of localization remains mixed, with in-home sensors not being able to differentiate between older adults with healthy cognition and older adults with mild cognitive impairment. However, frailty was detectable using in-home sensors. Acceptability is moderately positive, particularly with ambient sensors. Localization technologies can achieve room detection accuracies up to 92% and linear accuracies of up to 5-20 cm that may be promising for future clinical applications.

Trial registration: PROSPERO CRD42022339845; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=339845.

老年人远程家庭健康监测的家庭定位:系统综述。
背景:随着加拿大65岁以上人口比例的增长,智能家居和健康监测技术可以帮助老年人控制慢性疾病,并在适当的地方支持老龄化。定位技术已被用于通过检测家中活动来支持虚弱和痴呆的管理。目的:本系统综述旨在总结家庭定位技术的临床证据,审查监测的可接受性,并总结用于家庭定位的技术范围。方法:采用PRISMA(系统评价和荟萃分析首选报告项目)方法学。检索MEDLINE、Embase、CINAHL和Scopus,由2位审稿人进行筛选、提取和质量评估。结果:共发现1935篇文章,其中36篇以技术为重点,10篇报道患者预后的文章被纳入。从中等到高质量的研究中,有2项研究报告了识别轻度认知痴呆或虚弱的混合结果,有4项研究报告了定位技术可接受性的混合结果。技术包括环境传感器;蓝牙或wi - fi接收信号强度;使用射频识别、超宽带、Zigbee或GPS的定位器标签;以及带有定位器标签的惯性测量单元。结论:定位的临床应用仍然参差不齐,家用传感器无法区分认知健康的老年人和轻度认知障碍的老年人。然而,使用家庭传感器可以检测到脆弱。可接受性是适度积极的,特别是与环境传感器。定位技术可以实现高达92%的房间检测精度和高达5-20厘米的线性精度,这可能是未来临床应用的前景。试验注册:PROSPERO CRD42022339845;https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=339845。
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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来源期刊
JMIR Aging
JMIR Aging Social Sciences-Health (social science)
CiteScore
6.50
自引率
4.10%
发文量
71
审稿时长
12 weeks
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