实现患者和公众参与的新框架:从设计人工智能化的运动处方补助金中吸取经验教训
Lucy Smith1, Jacob Keast2, Jo Flowers3
1Primary Care Research Centre, University of Southampton, Southampton, UK. lucy.smith@soton.ac.uk.
Research involvement and engagement
|October 30, 2025
概括
本案例研究为将患者和公众参与 (PPI) 纳入卫生研究资助申请提供了一个新的框架. 该框架使PPI在资助开发过程中发挥作用,提高了研究的相关性和包容性.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 医疗保健中的人工智能
- 患者和公众参与 (PPI)
背景情况:
- 补助资助者越来越多地要求患者和公众参与 (PPI) 研究.
- 有限的文档存在于操作化和测量有意义的PPI.
- 本案例研究涉及PPI集成在开发一个AI知情的慢性疾病的炼计划.
研究的目的:
- 描述一个框架,在整个研究资助开发过程中嵌入PPI.
- 在人工智能告知健康干预的背景下,实现有意义的PPI.
- 评估PPI对资助申请发展的影响.
主要方法:
- 为了整合PPI,制定了一个四个阶段的框架.
- 阶段包括收集PPI反,建立实践经验咨询小组 (LEAP),共同开发赠款和影响评估.
- 影响评估使用了英国公众参与标准和GRIPP2检查清单.
主要成果:
- 公共投资计划框架在英国所有公众参与措施标准中都产生了影响.
- PPI反影响了关于信任,建议,赋权,用户需求,数据收集,数字素养和招聘的赠款设计.
- 学习强调考虑环境因素,如社区参与和未来PPI的可访问性.
结论:
- 提供了一个新的框架,用于规划和执行有意义的PPI在赠款申请中.
- 在资助开发过程中嵌入PPI显著塑造了提案,并将影响项目.
- 建议明确PPI参与和影响捕捉的方法,以提高研究的包容性和透明度.
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