Interim Scoring for the EQ-5D-5L: Mapping the EQ-5D-5L to EQ-5D-3L Value Sets
Interim Scoring for the EQ-5D-5L: Mapping the EQ-5D-5L to EQ-5D-3L Value Sets
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DOI：
10.1016/j.jval.2012.02.008
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发表时间：
2012-07-01
期刊：
影响因子：
4.5
通讯作者：
Pickard, A. Simon
中科院分区：
文献类型：
--
作者：
van Hout, Ben;Janssen, M. F.;Pickard, A. Simon
背景：欧洲五维健康量表（EQ - 5D）描述系统的五级版本（EQ - 5D - 5L）已经开发出来，但基于从具有代表性的普通人群样本中直接获取的偏好的赋值集尚未可用。本研究的目的是通过一种映射（“交叉转换”）方法，利用现有的欧洲五维健康量表三级版本（EQ - 5D - 3L）赋值集来开发EQ - 5D - 5L的赋值集。
方法：将EQ - 5D - 3L和EQ - 5D - 5L描述系统共同应用于患有不同严重程度疾病的受访者，以确保欧洲五维健康量表问卷各维度涵盖广泛的健康水平。我们探索了四种模型来生成EQ - 5D - 5L的赋值集：线性回归、非参数统计、有序逻辑回归和项目反应理论。首选模型的标准包括理论背景、统计拟合度、预测能力和简约性。
结果：共纳入3691名受访者。所有模型的拟合统计量相似。非参数和有序逻辑回归模型的预测能力略好。综合考虑所有标准，非参数模型被选为最适合生成EQ - 5D - 5L赋值的模型。
结论：非参数模型因其简单性且与其他模型表现相似而被首选。由于它独立于所使用的赋值集，可用于将任何EQ - 5D - 3L赋值集转换为EQ - 5D - 5L指数赋值。这种方法的优势包括与三级赋值集的兼容性。任何交叉转换的一个局限性在于指数赋值的范围受限于EQ - 5D - 3L赋值集的范围。
Background: A five-level version of the EuroQol five-dimensional (EQ-5D) descriptive system (EQ-5D-5L) has been developed, but value sets based on preferences directly elicited from representative general population samples are not yet available. The objective of this study was to develop values sets for the EQ-5D-5L by means of a mapping ("cross-walk") approach to the currently available three-level version of the EQ-5D (EQ-5D-3L) values sets. Methods: The EQ-5D-3L and EQ-5D-5L descriptive systems were coadministered to respondents with conditions of varying severity to ensure a broad range of levels of health across EQ-5D questionnaire dimensions. We explored four models to generate value sets for the EQ-5D-5L: linear regression, nonparametric statistics, ordered logistic regression, and item-response theory. Criteria for the preferred model included theoretical background, statistical fit, predictive power, and parsimony. Results: A total of 3691 respondents were included. All models had similar fit statistics. Predictive power was slightly better for the nonparametric and ordered logistic regression models. In considering all criteria, the nonparametric model was selected as most suitable for generating values for the EQ-5D-5L. Conclusions: The nonparametric model was preferred for its simplicity while performing similarly to the other models. Being independent of the value set that is used, it can be applied to transform any EQ-5D-3L value set into EQ-5D-5L index values. Strengths of this approach include compatibility with three-level value sets. A limitation of any crosswalk is that the range of index values is restricted to the range of the EQ-5D-3L value sets.