Chan Andrew, Cai Joanne, Qian Linna, Coutts Brendan, Phan Steven, Gregson Geoff, Lipsett Michael, Ríos Rincón Adriana M
Glenrose Rehabilitation Hospital, Edmonton, AB, Canada.
University of Alberta, Edmonton, AB, Canada.
JMIR Aging. 2024 Dec 2;7:e57320. doi: 10.2196/57320.
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.
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.
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.
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.
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.
PROSPERO CRD42022339845; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=339845.
随着加拿大65岁以上人口比例的不断增加，智能家居和健康监测技术可能有助于老年人管理慢性病并支持居家养老。定位技术已被用于通过检测家中的活动来支持虚弱和痴呆症的管理。
本系统评价旨在总结家庭定位技术的临床证据，评估监测的可接受性，并总结用于家庭定位的技术范围。
遵循PRISMA（系统评价和Meta分析的首选报告项目）方法。检索了MEDLINE、Embase、CINAHL和Scopus数据库，由两名评审员进行筛选、提取和质量评估。
共检索到1935篇文章，其中36篇聚焦技术的文章和10篇报告患者结局的文章被纳入。从中度到高质量的研究中，2项研究在识别轻度认知痴呆或虚弱方面报告了混合结果，而4项研究在定位技术的可接受性方面报告了混合结果。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的定位标签；以及带有定位标签的惯性测量单元。
定位的临床效用仍然存在差异，家庭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虚弱。可接受性呈中度积极，尤其是环境传感器。定位技术可实现高达92%的房间检测准确率和高达5-20厘米的线性准确率，这可能对未来的临床应用很有前景。
PROSPERO CRD42022339845；https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=339845 。
