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A comparison of United States and United Kingdom EQ-5D health states valuations using a nonparametric Bayesian method.

机译:使用非参数贝叶斯方法对美国和英国EQ-5D健康状态的估值进行比较。

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摘要

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.
机译:替代药物治疗的成本-效果分析取决于对效果的衡量,许多人认为质量调整生命年(QALY)是当前的“黄金标准”。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,并需要一个效用指标来评估与每个可能状况相关的生活质量。有许多不同的健康状态描述系统,在此我们重点介绍一种称为EQ-5D的系统。用于估计不同健康状态的效用的数据具有许多特征,这意味着在统计建模中需要医疗。人们对不同国家和文化之间的健康估值可能有所不同感兴趣,但是很少有研究比较了健康偏好值从不同国家获得的州。本文应用非参数模型来估计和比较使用贝叶斯方法从两个国家获得的EQ-5D健康状态评估数据。数据集是美国和英国的EQ-5D评估研究,其中使用时间权衡技术对每个国家的一般人口的代表性样本对EQ-5D定义的42个州进行了评估。我们估算了两个国家之间的效用函数,明确说明了它们之间的差异,并使用了两国的数据进行了估算。本文讨论了这些结果对EQ-5D未来应用以及该领域进一步工作的影响。

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