了解收集移动和可穿戴设备数据以监测老年人健康和认知情况的障碍:范围审查》。

Ibukun E Fowe, Edie C Sanders, Walter R Boot
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引用次数: 0

摘要

技术的进步使持续/远程监测数字健康数据成为可能,从而能够及早发现和治疗与年龄相关的认知和健康衰退。本范围界定综述采用 Arksey 和 O'Malley 的方法,评估了收集移动和可穿戴设备数据以监测患有或未患有轻度认知障碍(MCI)的老年人的健康和认知状况的潜在障碍。所选文章均来自美国,重点关注 55 岁或以上成年人在收集移动和可穿戴设备数据时遇到的或感知到的障碍。有 14 篇文章符合研究的纳入标准。确定的主题包括与可用性相关的障碍、用户以前使用健康技术的经验、第一级和第二级数字鸿沟、美学、舒适度、依从性和态度障碍。解决这些障碍对于在老年人中有效收集数字数据以实现提高生活质量和降低护理成本的目标至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding Barriers to the Collection of Mobile and Wearable Device Data to Monitor Health and Cognition in Older Adults: A Scoping Review.

Advances in technology have made continuous/remote monitoring of digital health data possible, which can enable the early detection and treatment of age-related cognitive and health declines. Using Arksey and O'Malley's methodology, this scoping review evaluated potential barriers to the collection of mobile and wearable device data to monitor health and cognitive status in older adults with and without mild cognitive impairment (MCI). Selected articles were US based and focused on experienced or perceived barriers to the collection of mobile and wearable device data by adults 55 years of age or older. Fourteen articles met the study's inclusion criteria. Identified themes included barriers related to usability, users' prior experiences with health technologies, first and second level digital divide, aesthetics, comfort, adherence, and attitudinal barriers. Addressing these barriers will be crucial for effective digital data-collection among older adults to achieve goals of improving quality of life and reducing care costs.

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