Department of Mathematics, University of York, York, UK.
Stat Med. 2010 Jul 10;29(15):1622-34. doi: 10.1002/sim.3874.
Cost-effectiveness analysis of alternative medical treatments relies on having a measure of effectiveness, and many regard the quality adjusted life year (QALY) to be the current 'gold standard.' In order to compute QALYs, we require a suitable system for describing a person's health state, and a utility measure to value the quality of life associated with each possible state. There are a number of different health state descriptive systems, and we focus here on one known as the EQ-5D. Data for estimating utilities for different health states have a number of features that mean care is necessary in statistical modelling.There is interest in the extent to which valuations of health may differ between different countries and cultures, but few studies have compared preference values of health states obtained from different countries. This article applies a nonparametric model to estimate and compare EQ-5D health state valuation data obtained from two countries using Bayesian methods. The data set is the US and UK EQ-5D valuation studies where a sample of 42 states defined by the EQ-5D was valued by representative samples of the general population from each country using the time trade-off technique. We estimate a utility function across both countries which explicitly accounts for the differences between them, and is estimated using the data from both countries. The article discusses the implications of these results for future applications of the EQ-5D and for further work in this field.
替代医疗的成本效益分析依赖于有效性的衡量标准,许多人认为质量调整生命年(QALY)是当前的“金标准”。为了计算 QALY,我们需要一个合适的系统来描述一个人的健康状况,并使用效用测量来衡量与每个可能状态相关的生活质量。有许多不同的健康状况描述系统,我们在这里重点关注一种称为 EQ-5D 的系统。用于估计不同健康状况效用的数据具有一些特征,这意味着在统计建模中需要进行护理。人们对健康评估在不同国家和文化之间可能存在差异的程度很感兴趣,但很少有研究比较过来自不同国家的健康状况偏好值。本文应用非参数模型,使用贝叶斯方法估算和比较来自两个国家的 EQ-5D 健康状况评估数据。该数据集是美国和英国的 EQ-5D 估值研究,其中使用时间权衡技术,由每个国家的代表性总体样本对 EQ-5D 定义的 42 个状态进行了估值。我们在两个国家之间估计了一个效用函数,该函数明确考虑了它们之间的差异,并使用来自两个国家的数据进行了估计。本文讨论了这些结果对未来 EQ-5D 的应用以及该领域进一步工作的影响。