Wessex Institute, University of Southampton, Alpha House, Enterprise Road, Chilworth, Southampton, SO16 7NS, UK.
Qual Life Res. 2013 Apr;22(3):665-75. doi: 10.1007/s11136-012-0174-y. Epub 2012 Apr 22.
To assess different mapping methods for the estimation of a group's mean EQ-5D score based on responses to the Oxford hip score (OHS) questionnaire.
Four models were considered: a) linear regression using total OHS as a continuous regressor; b) linear regression employing responses to the twelve OHS questions as categorical predictors; c) two-part approach combining logistic and linear regression; and d) response mapping. The models were internally validated on the estimation data set, which included OHS and EQ-5D scores for total hip replacements, both before and six months after procedure for 1,759 operations. An external validation was also performed.
All models estimated the mean EQ-5D score within 0.005 of an observed health-state utility estimate, ordinary least squares (OLS) continuous being the most accurate and OLS categorical the most consistent. Age, gender and deprivation did not improve the models. More accurate estimations at the individual level were achieved for higher scores of observed OHS and EQ-5D.
Based on these results, when EQ-5D scores are not available, answers to the OHS questionnaire can be used to estimate a group's mean EQ-5D with a high degree of accuracy.
评估基于牛津髋关节评分（OHS）问卷对个体反应的不同映射方法，以估算群体平均 EQ-5D 评分。
考虑了以下 4 种模型：a）将总 OHS 作为连续回归变量的线性回归；b）将 12 个 OHS 问题的回答作为分类预测因子的线性回归；c）结合逻辑回归和线性回归的两部分方法；d）响应映射。这些模型在包含全髋关节置换术的 OHS 和 EQ-5D 评分的估算数据集上进行了内部验证，这些评分是在术前和术后 6 个月的 1759 例手术中收集的。还进行了外部验证。
所有模型都将平均 EQ-5D 评分估算值与观察到的健康状态效用估计值相差 0.005 以内，普通最小二乘法（OLS）连续模型最准确，OLS 分类模型最一致。年龄、性别和贫困程度并不能改善模型。在观察到的 OHS 和 EQ-5D 评分较高的情况下，个体水平的估计值更加准确。
基于这些结果，当 EQ-5D 评分不可用时，可以使用 OHS 问卷的答案来估算群体的平均 EQ-5D，具有高度的准确性。
