一个范围审查,以创建一个框架,为步骤开发条件特定的基于偏好的工具 de novo或从现有的非偏好的工具:使用项目响应理论或拉什分析
Teresa C O Tsui1,2,3, Sofia C Torres4,5, Joanna M Bielecki6
1Toronto Health Economics and Technology Assessment (THETA) Collaborative, University Health Network, Toronto, ON, Canada. teresa.tsui@utoronto.ca.
Health and quality of life outcomes
|May 14, 2024
概括
本研究引入了一个新的15步框架,用于开发基于特定条件的偏好工具 (CSPBIs),利用项目响应理论 (IRT) 和拉什分析来更好地测量健康结果.
科学领域:
- 健康 结果 研究 研究 结果
- 心理测量 心理测量 心理测量
- 卫生经济学 卫生经济学
背景情况:
- 对于开发特定条件偏好型工具 (CSPBIs) 没有标准化的框架.
- 现有的CSPBI开发方法缺乏全面的指导,无论是对非偏好型工具的新创建还是适应.
- 项目响应理论 (IRT) 和拉什分析在仪器开发中越来越重要.
研究的目的:
- 为弥补CSPBI发展指导中的差距.
- 审查和综合CSPBI开发和评估的文献.
- 探索IRT和Rasch分析在CSPBI开发中的应用.
主要方法:
- 对文献进行了全面的范围审查.
- 搜索的数据库包括MEDLINE,Embase,PsychInfo,CINAHL和科克兰图书馆.
- 数据提取集中在CSPBI开发和评估的所有阶段,从创建到2022年12月.
主要成果:
- 分析了109篇文章,代表了21个条件中的41个CSPBIs.
- 对CSPBI发展的15个阶段,四个阶段的框架进行了概念化.
- 39个仪器使用了拉什模型,2个仪器在项目缩小过程中使用了IRT模型.
结论:
- 介绍了开发CSPBIs的扩展框架,适用于新的和调整的工具.
- 该框架整合了IRT和Rasch分析,提供了对项目选择和减少的指导.
- 该框架旨在协助研究人员开发和评估CSPBIs.
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