孕产妇健康的数字健康平台:设计,招聘策略和从PowerMom观测队列研究中吸取的经验教训
Toluwalase Ajayi1,2, Jacqueline Kueper2, Lauren Ariniello2
1Jacobs Center for Health Innovation, Department of Medicine and Pediatrics, University of California, San Diego, La Jolla, CA, United States.
JMIR formative research
|April 7, 2025
概括
"PowerMom"数字平台有效地招募和吸引各种各样的孕妇参与孕妇健康研究,收集多式联运现实世界的数据. 学到的经验教训将改善未来的数字健康研究,并解决健康差异.
科学领域:
- 数字健康数字健康
- 孕产妇健康研究研究
- 现实世界的数据收集
背景情况:
- 孕产妇健康研究在招聘,保留和数据收集方面扎,尤其是在代表性不足的群体中.
- 像PowerMom这样的数字平台为现实世界的数据收集提供了可扩展,分散的解决方案.
- 在怀孕和产后期间,PowerMom利用创新的招聘和多式联络数据收集.
研究的目的:
- 评估PowerMom平台的设计,实施和结果.
- 评估参与者招募,参与和数据收集在不同的人口.
- 确定实施挑战,并为未来的数字母亲健康研究吸取教训.
主要方法:
- 通过数字广告,怀孕应用程序和超过15个组织的财团招聘.
- 多模式数据收集:自我报告调查,可穿戴设备和电子健康记录.
- 对招生完整性的异常检测;对招聘趋势和描述性统计数据的分析.
主要成果:
- 从2021-2024年注册了5617名参与者,涵盖所有美国州,波多黎各和关岛.
- 实现了显著的多样性:14%的西班牙裔/拉丁裔,13.7%的黑人/非洲裔美国人;16.4%的弱势社区.
- 收集了大量的数据:17,123次调查,378,000多次可穿戴设备的生物识别测量,以及EHR数据.
结论:
- PowerMom平台证明了招募和吸引各种各样的孕产妇健康研究参与者的可行性.
- 多式联运数据的整合为全面的母胎健康洞察提供了潜在的潜力.
- 解决数据完整性和消耗问题对于持续参与和扩展数字健康平台至关重要.
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