Lawrence William F, Fleishman John A
Center for Outcomes and Evidence, Agency for Healthcare Research and Quality, Rockville, Maryland 20850, USA.
Med Decis Making. 2004 Mar-Apr;24(2):160-9. doi: 10.1177/0272989X04264015.
To predict the EuroQoL EQ-5D utility index from the SF-12 Health Survey for a US national sample of adults.
The authors used the 2000 Medical Expenditure Panel Survey to examine the relationship between instruments. Linear regression was used to predict EQ-5D scores from Physical Component Summary (PCS) and Mental Component Summary (MCS) scores of the SF-12. A prediction model was derived in one half of the sample and validated in the other half.
Complete responses to both measures were available for 14,580 adults; 7313 (50.2%) surveys were used for the derivation set. The 2-variable model predicted 61% of the variance in EQ-5D scores and provided reasonable ability to predict mean EQ-5D scores from mean PCS and MCS scores. Confidence intervals are dependent on sample size and variance of PCS and MCS scores.
EQ-5D scores can be reasonably predicted from the SF-12. This model allows researchers to estimate utility data for use in decision and cost-utility analyses.
从美国全国成年人样本的SF - 12健康调查中预测欧洲五维度健康量表（EuroQoL EQ - 5D）效用指数。
作者使用2000年医疗支出小组调查来检验这些工具之间的关系。采用线性回归从SF - 12的身体成分总结（PCS）和心理成分总结（MCS）分数预测EQ - 5D分数。在一半样本中推导预测模型，并在另一半样本中进行验证。
14580名成年人对两种测量方法都给出了完整回答；7313份（50.2%）调查问卷用于推导集。双变量模型预测了EQ - 5D分数中61%的方差，并具有从平均PCS和MCS分数预测平均EQ - 5D分数的合理能力。置信区间取决于样本量以及PCS和MCS分数的方差。
可以从SF - 12合理预测EQ - 5D分数。该模型使研究人员能够估计用于决策和成本效用分析的效用数据。
