开发工具,以有效设计健康偏好研究:属性分类学和属性图书馆的原型
Norah L Crossnohere1, Jonah Golder2, Esther W de Bekker-Grob3
1Division of General Internal Medicine, The Ohio State University College of Medicine, Columbus, OH, USA.
The patient
|July 3, 2025
概括
在偏好研究中开发重复使用属性的工具可以提高效率和可比性. 这项研究引入了分类学和原型库,以帮助在以患者为中心的医疗保健研究中识别和应用属性.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 决策科学 决策科学 决策科学
- 医疗设备创新 医疗设备创新
背景情况:
- 偏好信息对于医疗产品生命周期中以患者为中心的决策至关重要.
- 高质量的偏好研究依赖于透明的研究设计,特别是属性开发.
- 目前的属性开发是耗时和资源密集的.
研究的目的:
- 突出在偏好研究中需要工具来促进属性重用.
- 引入一种新的分类法来分类和描述偏好属性.
- 展示属性库对增强偏好研究的实用性.
主要方法:
- 描述了用于偏好研究的属性重用工具的需要和好处.
- 提出了属性分类和识别的分类学.
- 将分类学应用于由医疗器械创新联盟工作组开发的原型属性库.
主要成果:
- 确定需要有系统的资源来支持偏好研究中的属性发展.
- 开发了一种分类学来分类和描述属性,帮助识别.
- 为研究界展示了原型属性库的潜在价值.
结论:
- 促进属性重复使用的工具可以提高偏好研究的效率和可比性.
- 一个标准化的分类和属性库可以提高可访问性和互操作性.
- 这些资源支持偏好研究社区设计有影响力的以患者为中心的研究.
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