测量研究的综合影响:建立编码标准 翻译科学效益 模型数据
Nicole Miovsky1, Amanda Woodworth1, Stephanie Andersen2
1Institute for Clinical and Translational Science, University of California Irvine, Irvine, CA, USA.
Journal of clinical and translational science
|July 2, 2025
概括
这项研究开发了使用转化科学效益模型 (TSBM) 评估研究影响的验证标准. 标准化TSBM数据验证将使定量分析和研究效益的比较成为可能.
科学领域:
- 翻译科学 翻译科学
- 研究影响评估研究影响评估
- 医疗保健服务研究 医疗服务研究
背景情况:
- 翻译科学效益模型 (TSBM) 评估了临床,社区,经济和政策领域的研究影响.
- 目前缺乏用于验证TSBM数据的标准化方法,这阻碍了定量分析和聚合.
- 准确评估研究影响对于基于证据的决策和资源分配至关重要.
研究的目的:
- 确定用于验证定性TSBM数据的标准的内容和面部有效性.
- 开发一个标准化TSBM编码工具的基础.
- 为了实现研究影响数据的定量聚合和比较.
主要方法:
- 一个经过修改的Delphi过程,涉及11名专家.
- 两轮调查,并进行调节讨论,以达成对标准的共识.
- 共识定义为小组成员之间70%的共识.
主要成果:
- 在30个TSBM福利方面制定了197个验证的标准.
- 标准分为9个类别:内容相关,项目相关,谁,范围,什么,如何,小说,文献证据和何时.
- 该过程确定了内容和面对标准的有效性.
结论:
- 验证的标准为TSBM编码工具提供了基础.
- 标准化TSBM数据验证将促进数据聚合和分析.
- 这项工作支持在不同背景下对研究影响的定量评估和比较.
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