对知情同意的例外 社区咨询调查-受访者特征是否准确地反映了目标社区?
Alexander Keister1, Shannon W Stephens2, Kathleen Adelgais3
1The Ohio State University, Columbus, Ohio, USA.
概括
除了知情同意试验之外,用于社区咨询的数字调查可能并不完全代表社区人口统计数据. 研究人员必须解决潜在的偏见,以确保包容性参与紧急护理研究.
科学领域:
- 紧急医疗研究的研究.
- 参与公共卫生活动.
- 临床试验方法论 临床试验方法论
背景情况:
- 对于试验寻求豁免知情同意 (EFIC) 的情况,社区咨询 (CC) 是必要的.
- 数字营销平台提供了一种有效的方法,通过调查收集社区的意见.
- 这项研究评估了数字CC调查受访者的人口代表性.
研究的目的:
- 评估数字调查受访者是否符合他们代表的社区的人口统计数据,以免征求知情同意 (EFIC) 社区咨询 (CC).
- 确定参与研究的数字参与的潜在人口差异.
- 在EFIC CC.中提供利用数字平台的最佳实践信息.
主要方法:
- 为Pedi-PART研究部署了一个数字调查,重点关注重症儿童的护理人员呼吸道管理.
- 该调查针对10个紧急医疗服务 (EMS) 机构服务区域的18-65岁的成年人.
- 对象人口统计 (年龄,性别,种族,种族,收入,教育) 与2022年美国社区调查数据进行了比较.
主要成果:
- 完成了6630项调查,响应率因社区而异.
- 与一般社区相比,调查受访者更有可能是女性,家庭收入较低.
- 受访者不太可能属于少数种族群体,认同西班牙裔,或有高中教育.
- 在10个研究社区中观察到显著的人口差异.
结论:
- 数字调查平台可能会产生与一般人口不同的人口特征的受访者.
- 研究人员在使用EFIC CC.的数字工具时必须承认并减轻潜在的人口偏见.
- 需要仔细考虑平台覆盖范围和参与者招聘策略,以实现公平的社区参与.
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