分析FRAME数据 (A-FRAME):一种分析方法来评估调整对卫生服务干预和评估的影响
Heather Z Mui1, Cati G Brown-Johnson1, Erika A Saliba-Gustafsson1
1Division of Primary Care and Population Health, Department of Medicine School of Medicine, Stanford University Palo Alto California USA.
Learning health systems
|January 22, 2024
概括
在实施过程中跟踪卫生服务的调整对于理解结果至关重要. 分析FRAME数据 (A-FRAME) 提供了一种结构化的方法来评估对干预和评估的适应影响.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 实施科学 实施科学
- 项目评估 项目评估
背景情况:
- 在医疗服务项目期间评估适应情况对于解释结果至关重要.
- 报告调整和修改扩展框架 (FRAME) 提供了一种结构化的方法来描述调整.
- 开发一种分析方法来评估适应的影响是必要的.
研究的目的:
- 在多个卫生服务项目中应用FRAME.
- 开发和使用一种称为A-FRAME (FRAME数据分析) 的分析方法,以评估调整的影响.
- 了解适应如何影响干预进展和结果.
主要方法:
- 在COVID-19大流行期间,七个质量改进 (QI) 和研究项目的研究日记的混合方法分析.
- 利用FRAME作为一个代码库来描述和分类离散的适应.
- 采用了三步分析计划,包括频率计算,对适应对项目目标影响的定性评估和适应关系的专题整合.
主要成果:
- 在2020年3月至7月期间,在七个卫生服务项目中确定了42个适应.
- 大多数适应 (52.4%) 与培训或评估有关,旨在在疫情期间保持项目可行性 (66.7%).
- 开发了A-FRAME,将42个调整整合结为17个,揭示了人员,培训或交付方面的干预调整,以及设计,招聘和数据收集中的评估调整.
结论:
- A-FRAME允许简要描述调整如何影响干预措施及其评估.
- 将定性数据选到A-FRAME中有助于实施者和研究人员了解适应影响.
- A-FRAME矩阵提供了一个简洁的介绍,以解释适应对计划成果的影响.
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