将PROMIS-25 (患者报告结果测量信息系统儿科资料) 映射到EQ-5D-Y-3L
Renee Jones1, Christine Mpundu-Kaambwa2, Nancy Devlin2
1Melbourne Health Economics, University of Melbourne, Victoria, Australia; Health Services and Economics, Murdoch Children's Research Institute, Victoria, Australia.
概括
新的映射算法允许患者报告结果测量信息系统儿科资料25 (PROMIS-25) 数据转换为EQ-5D-Y-3L实用程序. 这提高了PROMIS-25在经济评估中的可用性.
科学领域:
- 卫生经济学 卫生经济学
- 心理测量 心理测量 心理测量
- 儿科健康结果的结果
背景情况:
- 患者报告的结果测量 (PROM) 对于评估儿科患者的健康状况至关重要.
- 患者报告结果测量信息系统儿科资料25 (PROMIS-25) 是一个全面的PROM.
- EQ-5D-Y-3L是一个广泛使用的基于偏好的健康效益估计措施.
研究的目的:
- 开发和验证映射算法,将PROMIS-25得分转化为EQ-5D-Y-3L响应和实用程序.
- 通过生成可比的健康实用值,使PROMIS-25数据能够在经济评估中使用.
主要方法:
- 利用了1,830名澳大利亚儿童 (5-18岁) 的数据集,他们完成了PROMIS-25和EQ-5D-Y-3L.
- 采用了直接和间接的映射方法,使用各种回归模型.
- 通过基于RMSE,MAE和CCC的五倍交叉验证选择了最佳模型.
主要成果:
- 一般化逻辑 (GLOGIT) 模型使用PROMIS-25域得分 (RMSE=0.1098) 优化预测了EQ-5D-Y-3L响应.
- 托比特模型使用PROMIS-25项目分数 (RMSE=0.0994) 优化预测了澳大利亚EQ-5D-Y-3L公用事业.
- 这两种模型在荷兰的实用价值方面表现相似.
结论:
- 开发了强大的映射算法,用于将PROMIS-25数据转换为EQ-5D-Y-3L实用程序和响应.
- 促进了EQ-5D-Y-3L的本地值集的应用,扩大了PROMIS-25的实用性.
- 增强了PROMIS-25数据在儿科患者经济评估中的价值.
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