一个工具包,用于在健康研究中获取代表性和公平的样本
Ameeta Retzer1,2,3,4, Bircan Ciytak5,6,7, Foram Khatsuria5,6,7
1Institute of Applied Health Research, University of Birmingham, Birmingham, UK. a.retzer@bham.ac.uk.
Nature medicine
|December 8, 2023
概括
该REP-EQUITY工具包促进健康研究中的代表性和公平的包容性. 它提供了七个步骤来提高参与者多样性,提高研究通用性和减少健康差异.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 临床试验设计 临床试验设计
- 健康 公平 卫生 公平
背景情况:
- 研究参与者的人口统计数据往往不反映一般人口,导致有限的概括性和延续的健康不平等.
- 服务不足的群体,包括那些预期包容性较低,医疗负担较高或医疗参与度较低的群体,经常被排除在外.
- 系统的排斥阻碍了所有人群的有效健康干预措施的发展.
研究的目的:
- 引入REP-EQUITY工具包,该工具旨在指导研究人员实现代表性和公平的参与者参与研究.
- 为改善临床研究中的样本选择流程提供结构化,七步的方法.
- 解决对多元参与的关键需求,以提高健康研究结果的有效性和适用性.
主要方法:
- 开发涉及到现有文献的方法学系统审查和综合.
- 24名参与者的共识研讨会最终确定了工具包的结构和内容.
- 该工具包概述了调查人员在样本选择过程中实施的七个关键步骤.
主要成果:
- 该REP-EQUITY工具包为调查人员提供了一个明确的框架,包含七个定义的步骤.
- 这些步骤包括定义服务不足的群体,公平目标,样本比例,招聘目标,管理外部因素,评估代表性和记录工具包使用情况.
- 预计该工具包的实施将促进信任,增加多元化的参与.
结论:
- REP-EQUITY工具包提供了一个实际的解决方案,以提高研究参与者选择的代表性和公平性.
- 它的使用可以提高健康研究结果的普遍性,并促进社区和研究机构之间更大的信任.
- 采用该工具包是减少健康差距和确保研究对所有人群有益的关键一步.
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