活跃队列:以人口为基础的智能手机干预健康结果
Adi Berliner Senderey1,2, Tom Mushkat1,3, Ofer Hadass4,5
1Clalit Research Institute, Innovation Division, Clalit Health Services, Ramat Gan, 6578898, Israel.
Journal of public health (Oxford, England)
|July 29, 2025
概括
克拉利特活跃队列研究 (CACS) 使用应用程序数据来跟踪身体活动和健康结果. 调查结果揭示了基于人口统计和健康状况的活动水平差异,为公共卫生战略提供了信息.
科学领域:
- 数字健康数字健康
- 公共卫生研究 公共卫生研究
- 现实世界的数据分析.
背景情况:
- 克拉利特活跃队列研究 (CACS) 调查了生活方式因素,特别是身体活动,以及它们对健康的影响,使用现实世界的数据.
- 2021年推出的CACS专注于拥有补充保险的Clalit健康服务会员,他们使用Clalit Active智能手机应用程序.
研究的目的:
- 评估生活方式因素,特别是身体活动对短期和长期健康结果的影响.
- 为了利用来自大量群体的真实世界数据来进行健康研究和政策制定.
主要方法:
- 从Clalit Active应用程序中的数据与Clalit健康服务电子健康记录的集成.
- 包括涵盖初级/二级护理,住院,药物,实验室结果和成像的数据.
- 目前的队列规模为622,584名参与者,正在进行招聘.
主要成果:
- Clalit Active应用程序可以监控身体活动和睡眠等行为.
- 初步结果显示,每日步数的显著变化受到社会人口统计学和临床因素的影响.
- 与非用户相比,应用程序用户在活动方面表现出显著差异;男性,年轻人 (<40岁) 和没有并发症的人更活跃.
结论:
- CACS提供了对不同人口生活方式因素和健康结果的宝贵见解.
- 调查结果可以为公共卫生政策提供信息,并指导生活方式干预.
- 强调将智能手机数据与电子健康记录集成的潜力,以改善健康结果.
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