Effectiveness Effectiveness of Wearable Electronic Device for Fall Risk Prevention in Community Elderly: A Literature Review

Kadek Dewi Cahyani, Sukihananto, Astuti Yuni Nursasi
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Abstract

The increasing incidence of falls in the elderly has become a global health issue. The development of wearable electronic device technology is able to monitor daily activities, measure step counts, physical activity levels, and even sleep patterns of the elderly, while providing early warnings when changes occur that may increase the risk of falls. The aim is to see the effectiveness of using wearable electronic devices in preventing the risk of falls in the elderly in the community. PICO in this study is Population: Community-dwelling elderly, Intervention: wearable electronic device, Comparisons: none, and Outcome: fall prevention. Researchers used 3 search data sources, namely Embase, Pubmed, and Science Direct. The inclusion and exclusion criteria of this study are literature published in electronic data sources from 2018-2023, is a type of quantitative research, the elderly population in the community, English language and available in full text. This literature review includes ten articles that discuss the utilization of wearable electronic device technology, the types of wearable devices used include Inertial Measurement Units (IMU), biosensors, and accelerometers to evaluate the mobility, gait, and balance of the elderly. This literature review shows that wearable electronic device technology can effectively detect falls and motorize the incidence of falls in the elderly
可穿戴电子设备预防社区老年人跌倒风险的有效性:文献综述
老年人跌倒的发生率越来越高,这已成为一个全球性的健康问题。可穿戴电子设备技术的发展能够监测老年人的日常活动,测量步数、体力活动水平,甚至睡眠模式,同时在发生可能增加跌倒风险的变化时发出预警。这项研究的目的是了解使用可穿戴电子设备预防社区老年人跌倒风险的有效性。本研究的 PICO 为:人口:干预:可穿戴电子设备;比较:无;结果:预防跌倒。研究人员使用了三种检索数据源,即 Embase、Pubmed 和 Science Direct。本研究的纳入和排除标准为2018-2023年发表在电子数据源中的文献、属于定量研究类型、社区中的老年人群、英文、有全文。本文献综述包括十篇讨论利用可穿戴电子设备技术的文章,使用的可穿戴设备类型包括惯性测量单元(IMU)、生物传感器和加速度计,用于评估老年人的行动能力、步态和平衡能力。本文献综述表明,可穿戴电子设备技术可以有效地检测老年人跌倒并降低跌倒发生率。
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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