痴呆症护理研究和心理社会因素
Dorota Anna Braun1, Caitlin H Illingworth1, Sahra Abdi2
1University of Sheffield, Sheffield, South Yorkshire, United Kingdom.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 25, 2025
概括
基于社区的招聘策略显著改善了少数民族在痴呆症研究中的参与,解决了人工智能健康解决方案中代表性不足的问题. 这种方法增强了科学研究中的多样性和包容性.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 认知评估 认知评估
背景情况:
- 少数民族在痴呆症研究中代表性不足,这可能导致有偏见的AI工具.
- 确保多样化的参与者参与是人工智能发展的关键,以防止社会偏见的扩大.
研究的目的:
- 评估招聘策略,以加强少数民族参与基于人工智能的认知评估开发.
- 为各种人群解决目前痴呆症研究措施的不足.
主要方法:
- 将在线和传统的医疗保健招聘与基于社区的参与式方法进行比较.
- 利用社区冠军和社区中心的招聘.
- 由NIHR PPIE赠款资助的实施战略.
主要成果:
- 在线和传统招聘的结果是少数民族的参与率很低 (<5%).
- 以社区为中心的招聘使少数民族的代表性增加到少数民族参与者的35.4%,占总参与者的9%.
- 一种参与式的方法改变了对参与研究的看法.
结论:
- 基于社区的参与战略有效地提高了代表性不足的群体在研究中的参与.
- 将这些策略整合到传统的招聘中,对于公平的医疗保健和技术研究至关重要.
- 这些发现支持开发包容性AI驱动的健康解决方案.
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