通过电子收集的患者输入数据改善招募到研究研究:混合方法研究研究
Irene Katzan1, W H Wilson Tang2, Andrew Schuster1
1Center for Outcomes Research & Evaluation, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States.
Journal of medical Internet research
|October 29, 2025
概括
新的患者报告问题可以识别可能加入临床研究的个人,提高招聘效率. 这些工具有助于优先考虑外展,同时尊重患者的自主权和减少负担.
科学领域:
- 临床研究方法论临床研究方法论
- 精准医疗的倡议 精准医疗的倡议
- 患者参与医疗保健中的参与.
背景情况:
- 患者招募是临床研究的一个主要障碍.
- 目前的招聘方法可能会增加患者的负担,并损害患者的自主权.
- 识别患者的属性预测研究参与对于有效的推广至关重要.
研究的目的:
- 开发患者报告的问题,评估对参与研究的看法.
- 为了确定这些患者的反应是否预示着对精准药物注册的兴趣.
主要方法:
- 使用了一种混合方法,顺序的探索性设计.
- 第一阶段:与32名患者进行认知访谈,以制定"研究感知"问题.
- 第二阶段:使用电子问卷对1077名初级保健患者进行横截面研究.
主要成果:
- 患者表达了对研究的强烈支持,97%的人同意它应该是一个机构的使命.
- 25.8%的患者对精准医学注册表现出兴趣.
- 对"研究感知"问题的积极反应显著预测了兴趣 (aORs 6.36-17.6),具有高灵敏度但有限的特异性.
结论:
- 患者报告的问题有效地识别了可能参加临床研究的个人.
- 这种方法可以提高招聘优先级,尊重患者的自主权,并减少负担.
- 高敏感度使问题对查有价值;有限的特异性需要用于优先考虑,而不是排除.
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