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在西弗吉尼亚州的一项妊娠队列研究中,使用与医疗保健相关的应用程序来招募通常代表性不足的人群

Katrina L Wilhite¹, Elly Marshall¹, Carly Williamson Rogers^1,2

¹Department of Epidemiology and Biostatistics, West Virginia University, Morgantown, WV, United States of America.

Contemporary clinical trials communications

|August 18, 2025

概括

使用MyChart患者门户网站招募孕妇参与研究显示,同意率较低 (2.8%). 然而,这种方法在吸引各种人群方面被证明是有效的,包括农村地区和社会经济地位较低的人群.

科学领域:

临床研究招聘策略临床研究招聘策略
参与研究的健康差异.
数字健康参与度数字健康参与度

背景情况:

临床研究往往低于农村和低社会经济地位的人口.
需要有效的招聘策略来增强参与者的多样性.
怀孕队列研究面临着独特的招聘挑战.

研究的目的:

为了比较怀孕队列研究中的查和同意比例.
评估MyChart患者门户网站在招聘方面的有效性.
评估农村和保险地位层面的招聘情况.

主要方法:

在2022年10月至2023年4月期间,通过MyChart发送了1024条招聘信息.
选和同意比例总体计算和分层.
逻辑回归用于比较参与率.

主要成果:

使用MyChart招聘方法的结果是同意率为2.8%.
查和同意比例在农村和保险状况组之间是一致的.
在各层之间没有观察到参与率的显著差异.

结论:

医疗保健相关的患者门户网站可以帮助招募代表性不足的群体.
我的图表为增加怀孕研究多样性的潜在途径提供了机会.
需要进一步的研究来优化数字招聘策略.

关键词:

怀孕怀孕怀孕怀孕招聘方式招聘方式农村农村农村农村社会经济地位社会经济地位

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