使用环境传感检测老年人在不良外部事件期间的行为变化:纵向观测研究
1Betty Irene Moore School of Nursing, University of California Davis Health, 4610 X St, Sacramento, CA, 95817, United States, 1 9167344349.
JMIR nursing
|May 1, 2025
概括
智能家居可以在流行病和野火等事件中检测到老年人的行为变化,从而实现个性化的健康干预. 这项技术支持持续监测和及时治疗慢性疾病.
科学领域:
- 老年学是指老年学的学科.
- 数字健康数字健康
- 行为科学 行为科学
背景情况:
- 老年人面临着许多健康挑战,包括慢性疾病和外部事件.
- 智能家居有潜力监测行为变化,评估风险,量化社会决定因素和设计有针对性的干预措施.
- 智能家居传感器的客观数据可以通过跟踪行为修改来增强医疗保健系统.
研究的目的:
- 在COVID-19大流行和野火之前和期间检查数字标记.
- 为了确定是否可以在老年人中观察到临床相关的行为变化.
- 根据检测到的行为转变,提出上游干预措施.
主要方法:
- 对39名患有慢性疾病的成年人环境传感器数据的二次分析.
- 间断时间序列分析以识别与外部事件相关的行为标记.
- 机器学习分类器用于比较各种暴露的行为差异.
主要成果:
- 智能家居传感器在COVID-19大流行和野火烟雾事件期间检测到行为变化.
- 变化在参与者和事件之间在方向和规模上有所不同.
- 与大流行相关的关键变化包括减少户外时间,增加不安睡眠和减少室内活动.
结论:
- 基于传感器的发现可以为个人干预提供信息,以在危机期间保持老年人的健康.
- 智能家居数据可以指导开发实用的健康策略,如室内炼和虚拟社交.
- 这项技术支持护士在访问之间了解患者的行为,以便及时提供个性化的护理.
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