绘制智能手机和可穿戴设备的路线,以改变人口健康研究
William G Dixon1, Sabine N van der Veer1,2, Syed Mustafa Ali1,2
1Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
Journal of medical Internet research
|August 22, 2024
概括
从智能手机和可穿戴设备中利用数字人生成的健康数据为人口健康研究提供了巨大的潜力. 解决数字不平等和数据访问等挑战对于实现这一潜力至关重要.
科学领域:
- 数字健康研究 数字健康研究
- 人口健康科学 人口健康科学
- 移动健康 (mHealth) 服务提供商
背景情况:
- 智能手机和可穿戴设备产生大量的健康数据,为人口健康研究提供了重大机会.
- 尽管设备拥有率和数据潜力很高,但大型移动健康研究在采用和成功方面面临着挑战.
研究的目的:
- 论证数字人生成的健康数据在解决人口健康研究关键问题的必要性.
- 总结来自英国倡议的发现,确定在临床研究中利用数字健康数据的挑战和解决方案.
主要方法:
- 审查来自两个英国倡议的挑战和解决方案,重点是数字人生成的健康数据.
- 来自詹姆斯·林德联盟优先设定伙伴关系的说明性例子,以突出研究需求.
主要成果:
- 进步的关键领域包括解决数字不平等,选择偏见,数据访问和协调,时间序列分析和患者/公众参与.
- 将数字健康数据与常规收集的数据联系起来,为新的人口健康研究提供了机会.
结论:
- 实现数字健康数据的潜力需要解决各种挑战,包括数据科学,行为科学和信息治理.
- 建立跨学科社区对于加速进展和有效利用数字健康数据来改善人口健康至关重要.
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