Mapping the SF-12 to the EuroQol EQ-5D index in a national US sample
Mapping the SF-12 to the EuroQol EQ-5D index in a national US sample
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DOI：
10.1177/0272989x04265477
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发表时间：
2004-05-01
影响因子：
3.6
通讯作者：
Jia, HM
中科院分区：
文献类型：
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作者：
Franks, P;Lubetkin, EI;Jia, HM
背景医学结局研究（MOS）SF-12的偏好评分将使其能够用于成本效益分析。以前的mopping研究MOS仪器的偏好为基础的仪器没有检查国家样本的性能。参与者2000年医疗支出调查年度调查中的15，000名成年人，包括SF-12和EQ-5D指数。方法. EQ-5D指数评分与SF-12的身体和精神成分总分的回归，检验2 - 4次多项式和样条模型，包括和不包括社会人口统计学。结果，二次多项式模型解释了EQ-5D评分中63%的方差，具有稳健的内部和外部验证。更复杂的模型解释了最小的额外方差。与EQ-5D评估相比，预测模型高估了最低健康状态（人群的6%）。结论.映射的SF-12产生可用的偏好量表评分，对最低的健康状态有一些警告。
Background. Preference scores for the Medical Outcomes Study(MOS) SF-12 would enable its use in cost-effectiveness analyses. Previous mopping studies of MOS instruments to preference-based instruments have not examined performance in national samples. Participants. 15,000 adults in the 2000 Medical Expenditure Panel Survey annual survey including the SF-12 and EQ-5D Index. Methods. Regression of the EQ-5D Index scores onto the physical and mental component summary scores of the SF-12, testing 2nd-4th degree polynomial and spline models, including and excluding sociodemographics. Results, A 2nd degree polynomial model explained 63% of the variance in EQ-5D scores, with robust internal and external validation. More complex models explained minimally additional variance. Compared with EQ-5D valuations, prediction models overestimated the lowest health states (6% of the poplulation). Conclusions. The mapped SF-12 yields usable preference-scaled scores, with some caution for the lowest health states.