从SIBDQ映射到EQ-5D-5L,用于患有炎症性肠病的患者
Isa Maria Steiner1, Bernd Bokemeyer2, Tom Stargardt3
1Hamburg Center for Health Economics, University of Hamburg, Esplanade 36, 20354, Hamburg, Germany. isa.maria.steiner@uni-hamburg.de.
概括
这项研究开发了一种映射工具,用于将短炎性肠病问卷 (SIBDQ) 分数与德国炎性肠病 (IBD) 患者的EQ-5D-5L实用值进行映射,从而改善健康经济评估.
科学领域:
- 卫生经济学 卫生经济学
- 临床结果研究研究
- 患者报告的结果
背景情况:
- 疾病特异性问卷,如短炎性肠病问卷 (SIBDQ) 在临床研究中很常见.
- 经济评估需要基于偏好的公用事业指数得分 (例如,EQ-5D-5L) 来计算质量调整寿命年 (QALY).
- 从SIBDQ到EQ-5D-5L实用性得分的直接映射以前无法用于炎症性肠病 (IBD) 患者.
研究的目的:
- 开发和验证使用德国数据从SIBDQ得分到EQ-5D-5L指数得分的映射算法.
- 在只有SIBDQ数据可用时,为IBD患者估计QALY提供一个工具.
- 评估不同协同变量的对绘图准确性的影响.
主要方法:
- 利用德国一项随机对照试验中来自1055名IBD患者的3856个观察数据集.
- 对比了各种回归和机器学习模型,包括混合效应的托比特回归和回归森林.
- 采用十倍交叉验证来对五种数据可用性场景进行模型选择和验证.
主要成果:
- 混合效应的托比特回归模型在四个数据场景中是最佳的,而回归森林在第五个场景中表现最好.
- 人口统计学变量 (年龄,性别) 并没有显著提高绘图准确度.
- 包括SIBDQ分级,IBD疾病类型,BMI和吸烟状况,提高了预测准确度.
结论:
- 成功开发了一种算法,将SIBDQ值映射到IBD患者的EQ-5D-5L指数得分.
- 该算法考虑了可变的共变量可用性,并在Web应用程序中实现.
- 这种绘制有助于在IBD研究中进行更强大的健康经济评估.
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