Kharroubi Samer A
Department of Nutrition and Food Sciences, Faculty of Agricultural and Food Sciences, American University of Beirut, Beirut, Lebanon.
Health Qual Life Outcomes. 2017 Oct 6;15(1):195. doi: 10.1186/s12955-017-0770-1.
Valuations of health state descriptors such as EQ-5D or SF6D have been conducted in different countries. There is a scope to make use of the results in one country as informative priors to help with the analysis of a study in another, for this to enable better estimation to be obtained in the new country than analyzing its data separately.
Data from 2 EQ-5D valuation studies were analyzed using the time trade-off technique, where values for 42 health states were devised from representative samples of the UK and US populations. A Bayesian non-parametric approach has been applied to predict the health utilities of the US population, where the UK results were used as informative priors in the model to improve their estimation.
The findings showed that employing additional information from the UK data helped in the production of US utility estimates much more precisely than would have been possible using the US study data alone.
It is very plausible that this method would serve useful in countries where the conduction of large evaluation studies is not very feasible.
诸如EQ - 5D或SF6D等健康状态描述符的估值已在不同国家进行。利用一个国家的结果作为信息先验，以帮助分析另一个国家的研究，这样做能比单独分析新国家的数据获得更好的估计。
使用时间权衡技术分析了来自2项EQ - 5D估值研究的数据，其中42种健康状态的值是从英国和美国人群的代表性样本中得出的。采用贝叶斯非参数方法预测美国人群的健康效用，在该模型中英国的结果被用作信息先验以改进估计。
研究结果表明，利用来自英国数据的额外信息，比仅使用美国研究数据能更精确地得出美国效用估计值。
在进行大型评估研究不太可行的国家，这种方法很可能会发挥作用。
