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Updated: Jun 1, 2025

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用移动设备对个人生成的健康数据研究的参与者贡献:范围审查

Shanshan Song^1,2, Micaela Ashton³, Rebecca Hahn Yoo^2,4

¹Biomedical Informatics & Data Science Section, The Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Journal of medical Internet research

|January 20, 2025

概括

研究人员需要更好的报告标准,用于使用移动设备收集个人生成的健康数据 (PGHD) 的研究. 目前的做法显示报告数据和伦理方面的重大差距,阻碍了可重复性.

科学领域:

数字健康数字健康
医疗信息学医疗信息学
移动健康研究移动健康研究

背景情况:

移动设备可以收集个人生成的健康数据 (PGHD) 用于研究.
关于在移动设备上使用PGHD的研究报告结果的指导是有限的.
描述当前的报告实践对于确保可重复性研究至关重要.

研究的目的:

系统地审查和描述使用移动设备收集PGHD的出版物中的报告实践.
识别可重复和负责任的研究所需的报告中存在的差距.

主要方法:

我们对PubMed进行了全面的文献搜索.
出版物根据6个维度进行了选和分类:文献详细信息,参与者,数据,设备,研究和道德.
在原始研究中,报告的完整性被评估为5个关键维度.

主要成果:

包括100个出版物,显示了从2016-2021年的快速增长.
大多数研究使用了参与者拥有的设备 (带你自己的设备策略).
在"数据"和"道德"方面发现了报告完整性的重大缺陷,报告随着时间的推移而恶化.

结论:

目前移动设备PGHD研究的报告实践不足以实现可复制性.
需要就从移动设备报告PGHD的最佳实践达成共识.
提供了建议,以改善报告,增强数据的代表性,并赋予参与者权力.

关键词:

这就是BYOD.我们的PGHD是PGHD 众包 (crowdsourcing) 是一种众包方式.健身追踪器健身追踪器移动健康移动健康移动健康移动健康移动设备是移动设备.手机电话手机电话手机电话个人生成的健康数据报告报告缺陷的缺陷范围审查范围审查审查智能手机的智能手机智能手机的智能手机.智能手表智能手表可以穿戴的可穿戴设备.

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Data Collection I

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