从SHARP CRC注册表中的严重喘问卷中绘制EQ-5D-5L实用分数
F L Meulmeester1, M E van den Akker-Van Marle1, L Ten Have2
1Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden The Netherlands.
Respiratory medicine
|March 6, 2026
概括
开发了映射算法来估计从严重喘问卷 (SAQ) 到EuroQol (EQ)-5D-5L.的健康实用值. 这使得当EQ-5D-5L数据无法用于严重喘患者时,可以进行健康经济评估.
科学领域:
- 卫生经济学 卫生经济学
- 呼吸系统医学 呼吸系统医学
- 心理测量 心理测量 心理测量
背景情况:
- 严重的喘显著影响与健康相关的生活质量 (HRQoL).
- 现有的通用HRQoL仪器可能无法完全捕捉严重的喘经历.
- 严重喘问卷 (SAQ) 是一种疾病特定的HRQoL工具,但缺乏用于经济评估的实用值.
研究的目的:
- 开发和验证映射算法,从严重喘问卷 (SAQ) 得分中估计EuroQol (EQ) -5D-5L实用值.
- 为了在严重喘患者群体中进行健康经济分析,在这些群体中没有收集EQ-5D-5L数据.
主要方法:
- 利用了SHARP喘负担研究 (n=327) 的基线和6个月数据.
- 开发了直接映射 (OLS,β混合回归) 和间接映射 (有序探头回归) 算法.
- 在独立数据集上使用MAE,RMSE和R2验证的算法.
主要成果:
- 贝塔混合模型在开发集中表现出强的表现 (R2=0.704).
- 订序试验回归模型在验证集中显示出优异的预测性能 (R2=0.589).
- 直接和间接的映射方法都在估计实用价值方面表现得很好.
结论:
- 映射算法可靠地从SAQ得分中估计EQ-5D-5L实用值.
- 使用β混合物回归直接映射是一种可行的方法,与之前的研究一致.
- 间接映射在不同的EQ-5D-5L值集中提供了灵活性,支持更广泛的健康经济应用.
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