准确医学研究多样性的定性研究:多样性决策地图的开发和利益相关者评估
Janet K Shim1, Caitlin E McMahon2, Larissa Saco3
1Department of Social and Behavioral Sciences, University of California, San Francisco, CA, USA.
Journal of clinical and translational science
|May 19, 2025
概括
多样性决策地图 (DDM) 帮助研究团队应对精准医学研究 (PMR) 中的多样性和包容性挑战. 该工具有助于识别权衡,并做出明智的决策,以提高参与研究的公平性.
科学领域:
- 精准医学研究研究 精准医学研究
- 健康 公平 卫生 公平
- 研究方法研究方法研究方法学
背景情况:
- 精准医学研究 (PMR) 参与中的多样性差距需要包括代表性不足的人口的战略.
- 研究小组需要加强支持,以应对影响多样性和公平性的决策复杂性.
- 现有研究强调,需要工具来促进有关PMR多样性和包容性的知情选择.
研究的目的:
- 开发和评估多样性决策地图 (DDM) 的实用性,作为PMR利益相关方的工具.
- 支持对影响多样性,包容性和公平性的研究实践的识别和对话.
- 帮助研究团队理解和管理与多样性有关的决策中的权衡.
主要方法:
- DDM是经验上从定性数据中得出的,包括文档分析,研究观察和利益相关者采访.
- 创建了决策节点,它们的先例和后果的视觉显示.
- 与各种利益相关者团体 (监管顾问,研究人员,社区顾问) 进行了接触,以评估DDM的实用性.
主要成果:
- 参与表明,DDM有效地帮助各种利益相关者追踪多样性,包容性和公平性研究选择的权衡.
- 利益相关者证实了DDM有潜力促进关于权衡的讨论和关于研究资源和实践的决策.
- 参与者提出了改进建议,以提高DDM的实用性,并促进研究困境的集团间对话.
结论:
- 一个新的工具,多样性决策地图 (DDM),是基于研究生涯的角度和现实世界的经验开发.
- DDM提高了PMR中影响多样性,包容性和公平性的研究决策固有的权衡的透明度.
- 该工具支持知情决策,以促进在精准医学研究参与中更大的公平性.
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