使用社交媒体吸引和招募代表性不足的人口:纵向数字健康研究
Christiana Harry1, Sarah Goodday1,2, Carol Chapman3
14YouandMe, Great Neck, NY, United States.
JMIR formative research
|April 15, 2025
概括
社交媒体的招聘有效地使代表性不足的人群 (URPs) 参与数字健康研究,显示出比传统方法更高的入学率和保留率. 然而,在所有外展策略中,URP的保留率仍然低于白人参与者.
科学领域:
- 数字健康数字健康
- 健康 公平 卫生 公平
- 研究方法研究方法研究方法学
背景情况:
- 数字健康研究面临的挑战包括由于访问,识字和信任障碍的边缘化人口.
- 替代性参与方法对于可持续,多样化的参与数字健康研究至关重要.
- 确保公平的结果需要包括所有社区的技术和研究.
研究的目的:
- 在数字怀孕研究中,分析通过数字和传统方法招募的参与者的社会经济和人口差异.
- 评估社交媒体宣传对招聘和留住代表性不足的人群 (URPs) 在数字健康研究中的效率.
主要方法:
- "更好地了解怀孕的转变" (BUMP) 研究采用了前性观察队列设计,对524名女性 (18-40岁) 进行了观察.
- 招聘策略包括患者门户,付费/无偿社交媒体广告和社区健康伙伴关系.
- 收集了不同招聘道的招生,参与和保留率的数据.
主要成果:
- 社交媒体的招聘为URP带来了23.6%的招生率.
- 付费社交媒体广告,特别是在Instagram上,与无偿广告和社区伙伴关系相比,显示出更高的注册和保留率.
- 尽管最初的参与,但非白人参与者的保留率在所有招聘方法中都较低.
结论:
- 社交媒体招聘提供了一种可行的策略,可以让URP参与数字健康研究,付费广告特别有效.
- 基于社区的招聘方法显示了较低的参与度,入学率和保留率.
- 定制策略对于改善URP入学和留学至关重要,解决数字健康研究参与方面的差异.
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