使用公开可用的英国数据集来确定招聘网站,以最大限度地纳入服务不足的群体:三个案例研究
Alison Booth1, Catriona McDaid1, Ashley Scrimshire1
1Health Sciences, University of York, York, England, YO10 5DD, UK.
NIHR open research
|August 15, 2024
概括
为临床试验确定服务不足的人群至关重要. 这项研究表明,使用英国公共数据集来选择多样化的招聘网站,提高试验的包容性和公平性.
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:
- 临床试验参与者往往缺乏目标人群的代表性.
- 在研究设计和资助过程中,包容服务不足的群体至关重要.
- 招聘地点的选择是试验包容性的一个被忽视的方面.
研究的目的:
- 在临床试验中使用英国公共数据集来识别服务不足的社区.
- 为在试验设计中嵌入公平,多样性和包容性 (EDI) 提供实用方法.
- 支持试验者选择代表性招聘网站.
主要方法:
- 三个国家卫生和护理研究院 (NIHR) 资助的试验的案例研究.
- 使用公开可用的英国数据集 (例如NHS数字,国家统计局).
- 根据健康状况,社会经济因素,种族和临床风险因素确定了潜在的招聘地点.
主要成果:
- 成功生成超过试验需求的潜在招聘网站列表.
- 证明了使用国家数据集用于有针对性的地点选择的可行性.
- 展示了不同环境的招聘计划:创伤中心,NHS信托基金和特殊教育环境.
结论:
- 公共可用的英国数据集可以有效地识别为试验招聘服务不足的人群.
- 提出的方法可以超越试验设置,将其推广到其他研究类型.
- 这种方法支持在赠款申请阶段将EDI嵌入试验设计中,基于NIHR INCLUDE项目.
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