检查数字疗法中的多样性 临床试验:描述性分析
Joel Adu-Brimpong1, Jennifer Pugh2, David Agyen Darko3
1School of Medicine, Stanford University, Stanford, CA, United States.
Journal of medical Internet research
|August 2, 2023
概括
数字疗法 (DTx) 临床试验显示,黑人,亚洲人和西班牙裔人口的代表性不足. 在DTx试验中改善社会人口学多样性对于公平的医疗保健和有效的数字健康疗法至关重要.
科学领域:
- 数字健康数字健康
- 临床研究是临床研究.
- 卫生公平性健康公平性
背景情况:
- 数字疗法 (DTx) 是基于软件的医疗干预措施,改变了医疗保健的获取和提供.
- 确保公平获取需要检查DTx临床试验中的社会人口统计代表性.
- 目前的DTx试验可能不反映其旨在服务的多样化人群.
研究的目的:
- 分析数字疗法 (DTx) 临床试验中的社会人口代表性.
- 将DTx试验中的人口统计数据与更广泛的美国人口进行比较.
- 为了确定代表性的差异,以指导未来的DTx开发和测试.
主要方法:
- 对13种数字治疗 (DTx) 产品进行了描述性分析.
- 来自15个相关手稿的数据被审查以获得社会人口统计信息.
- 人口统计数据 (种族,种族,教育,保险) 与美国人口分布进行了比较.
主要成果:
- 在67%的研究中,女性参与者占65%以上.
- 黑人和亚洲人分别在9项和11项研究中代表性不足.
- 在所有报告种族的7项研究中,西班牙裔人代表性不足;许多参与者拥有私人保险和一些大学教育.
结论:
- DTx临床试验为增强社会人口统计代表性提供了重大机会.
- 解决代表性不足问题,特别是在少数群体和服务不足群体中,对于公平的DTx应用至关重要.
- 本综述为推动包容性DTx开发和临床验证提供了关键的见解.
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