Development of Methods for the Mapping of Utilities Using Mixture Models: Mapping the AQLQ-S to the EQ-5D-5L and the HUI3 in Patients with Asthma.
Development of Methods for the Mapping of Utilities Using Mixture Models: Mapping the AQLQ-S to the EQ-5D-5L and the HUI3 in Patients with Asthma.
复制标题
DOI：
10.1016/j.jval.2017.09.017
复制
发表时间：
2018-06
期刊：
影响因子：
--
通讯作者：
Wailoo AJ
中科院分区：
文献类型：
--
作者：
Gray LA;Hernández Alava M;Wailoo AJ
研究表明，基于混合模型的方法在将临床映射到基于偏好的方法时工作良好。以不同的方式开发这些方法，并在案例研究中比较性能。来自856例哮喘患者的数据允许哮喘生活质量问卷与五级EuroQol五维问卷（EQ-5D-5L）和健康效用指数评分3（HUI 3）之间的映射。估计了调整后的有限因变量混合模型和基于β的混合模型。探索了完全健康与下一个值之间的差距以及下一个可行值处的质量点的可选包含。在所有情况下，模型规范正式建模完全健康和下一个可行值之间的差距是对那些没有的改进。由于分布不均匀，与映射到EQ-5D-5L相比，映射到HUI 3需要更多的混合模型组件。映射到HUI 3的最佳基于β的混合模型包括接近完全健康的效用值的概率质量。估计EQ-5D-5L时并非如此，因为此时观察结果的比例较低。基于β的混合模型略优于调整后的有限因变量混合模型，在此数据集中具有相同数量的组件。尽管如此，它们需要更多的参数和更长的估计时间。两种混合模型类型均与EQ-5D-5L和HUI数据密切拟合。标准的绘图方法通常会导致对健康收益的有偏估计。混合模型方法没有表现出这种偏差。两者都可以放心地用于应用成本效益研究。未来在其他疾病领域的绘图研究应考虑类似的方法。
Studies have shown that methods based on mixture models work well when mapping clinical to preference-based methods. To develop these methods in different ways and to compare performance in a case study. Data from 856 patients with asthma allowed mapping between the Asthma Quality of Life Questionnaire and both the five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) and the health utilities index mark 3 (HUI3). Adjusted limited dependent variable mixture models and beta-based mixture models were estimated. Optional inclusion of the gap between full health and the next value as well as a mass point at the next feasible value were explored. In all cases, model specifications formally modeling the gap between full health and the next feasible value were an improvement on those that did not. Mapping to the HUI3 required more components in the mixture models than did mapping to the EQ-5D-5L because of its uneven distribution. The optimal beta-based mixture models mapping to the HUI3 included a probability mass at the utility value adjacent to full health. This is not the case when estimating the EQ-5D-5L, because of the low proportion of observations at this point. Beta-based mixture models marginally outperformed adjusted limited dependent variable mixture models with the same number of components in this data set. Nevertheless, they require a larger number of parameters and longer estimation time. Both mixture model types closely fit both EQ-5D-5L and HUI data. Standard mapping approaches typically lead to biased estimates of health gain. The mixture model approaches exhibit no such bias. Both can be used with confidence in applied cost-effectiveness studies. Future mapping studies in other disease areas should consider similar methods.
登录
查看更多内容
影响因子：
1.5
作者：
Austin, PC;Escobar, MD
通讯作者：
Escobar, MD
影响因子：
4.4
作者：
Kearns, Ben;Ara, Roberta;Campbell, Mike
通讯作者：
Campbell, Mike
DOI：
10.1016/j.jval.2016.09.2398
发表时间：
2017-01
期刊：
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
影响因子：
--
作者：
Ward Fuller G;Hernandez M;Pallot D;Lecky F;Stevenson M;Gabbe B
通讯作者：
Gabbe B
影响因子：
3.6
作者：
Alava, Monica Hernandez;Wailoo, Allan;Michaud, Kaleb
通讯作者：
Michaud, Kaleb
影响因子：
4.4
作者：
Buxton, Martin J.
通讯作者：
Buxton, Martin J.