生命年价值与成本效益阈值:波兰案例

IF 0.5 Q4 ECONOMICS
O. Markiewicz
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引用次数: 2

摘要

摘要目的本文的目的是研究人们如何评价生命年价值(VOLY)的两个不同属性:预期寿命和生活质量。讨论了在波兰进行的第一次VOLY估计的结果,并将其与波兰2008-2020年期间医疗的成本效益阈值进行了比较。方法采用离散选择实验(Discrete Choice Experiment, DCE)方法对VOLY的两个属性进行评估:预期寿命的增加和生活质量的改善。VOLY研究在两个人群中进行:普通人群和透析人群。根据他们目前的健康状况,人们对延长预期寿命和改善健康质量的重视程度不同。根据这些结果,应该区分VOLY。同样,在质量调整生命年(QALY)指标中,寿命和生命质量属性的权重应根据不同的健康状态而变化。从既定偏好的角度来看,统一的成本效益门槛是不合理的。应区分基于需求方面价值的成本效益阈值。与基于声明偏好的估值相比,目前波兰的成本效益阈值被高估了。文章提出了VOLY的两个属性的第一次估计:预期寿命和生活质量,在波兰进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Value of Life Year and Cost-Effectiveness Thresholds: The Case of Poland
Abstract Objective The objective of this article is to examine how people value two different attributes of Value of Life Year (VOLY): life expectancy and the quality of life. The results of the first VOLY estimations conducted in Poland are discussed and compared with Polish cost-effectiveness thresholds for medical treatments in the period 2008–2020. Methodology The Discrete Choice Experiment (DCE) method was used to value two attributes of VOLY: increase in life expectancy and improvement in the quality of life. Main findings The VOLY research was conducted in two populations: general and dialysis. Depending on their current health status, people value increased life expectancy and improvement in health quality differently. In light of these results, the VOLY should be differentiated. Also in the Quality Adjusted Life Year (QALY) indicator, the weights of the attributes of length and quality of life should be varied according to different states of health. A uniform cost-effectiveness threshold is not justified from the perspective of stated preferences. Cost-effectiveness thresholds based on demand-side values should be differentiated. Current Polish cost-effectiveness thresholds are overestimated compared to valuations based on stated preferences. Contributions The article presents the first estimations of two attributes of VOLY: life expectancy and the quality of life, carried out in Poland.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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