Mapping the EQ-5D index from the SF-12: US general population preferences in a nationally representative sample
Mapping the EQ-5D index from the SF-12: US general population preferences in a nationally representative sample
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DOI：
10.1177/0272989x06290496
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发表时间：
2006-07-01
影响因子：
3.6
通讯作者：
Ghushchyan, Vahram
中科院分区：
文献类型：
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作者：
Sullivan, Patrick W.;Ghushchyan, Vahram
背景先前估计SF-12 EQ-5D指数评分的映射算法是基于英国社区样本的偏好。然而，基于美国普通人群的偏好最适合从美国社会角度进行的成本效益分析。Objective.提供一种映射算法，用于根据SF-12估计EQ-5D指数评分，该算法基于名义上具有代表性的样本，并使用基于一般美国人群的偏好。方法.使用2002年和2000年的医疗费用专门小组调查（MEPS）数据作为独立的推导和验证集，以估计SF-12评分和EQ-5D指数评分之间的关系，控制社会人口学特征和合并症负担。推导并比较了仅可获得SF-12评分的最终用户的预测方程。通过计算验证集中的平均预测误差，比较了删失最小绝对偏差（CLAD）、Tobit和普通最小二乘（OLS）分析方法的经验性能。结果完全指定的CLAD模型导致最低的平均预测误差，其次是OLS和Tobit。仅基于SF-12评分的CLAD预测方程优于完全指定的OLS和Tobit模型。结论目前的研究提供了一种从SF-12映射EQ-5D指数评分的算法。当只有SF-12数据可用时，该算法可以为分析人员提供一种途径，以获得适当的基于偏好的健康相关生活质量评分，用于成本效益分析。
Background. Previous mapping algorithms estimating EQ-5D index scores from the SF-12 were based on Preferences from a UK community sample. However, preferences based on the general US population are most appropriate for cost-effectiveness analyses done from the societal perspective in the United States. Objective. To provide a mapping algorithm for estimating EQ-5D index scores from the SF-12 based on a notionally representative sample and using preferences based on the general US population. Methods. The Medical Expenditure Panel Survey (MEPS) 2002 and 2000 data were used as independent derivation and validation sets to estimate the relationship between SF-12 scores and EQ-5D index scores, controlling for sociodemographic characteristics and comorbidity burden. Prediction equations for end-users who only have access to SF-12 scores were derived and compared. The empirical performance of censored least absolute deviations (CLAD), Tobit, and ordinary least squares (OLS) analytic methods were compared by calculating the mean prediction error in the validation set. Results. The fully specified CLAD model resulted in the lowest mean prediction error, followed by OLS and Tobit. The CLAD prediction equation based only on SF-12 scores performed better than the fully specified OLS and Tobit models. Conclusion. The current research provides an algorithm for mapping EQ-5D index scores from the SF-12. This algorithm may provide analysts with an avenue to obtain appropriate preference-based health-related quality-of-life scores for use in cost-effectiveness analyses when only SF-12 data are available.