Health Economics Group, Population Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK.
Department of Statistics and Econometrics, Faculty of Economic Cybernetics, Statistics and Informatics, Bucharest University of Economic Studies, Bucharest, Romania.
Eur J Health Econ. 2023 Apr;24(3):399-412. doi: 10.1007/s10198-022-01481-7. Epub 2022 Jun 10.
We aimed to develop an EQ-5D-5L value set for Romania.
In line with the EuroQoL standardized valuation protocol, computer-assisted interviews were conducted face-to-face in a representative sample in Romania (November 2018-November 2019). Valuation methods included composite time trade-off and discrete choice experiment tasks. Several models were tested, including models that accounted for data censoring, panel structure of the data, heteroscedasticity, conditional logit, and hybrid models. The final model was selected based on logical consistency, theoretical considerations, and use of all available data. We compared our value set with other value sets from Central and Eastern Europe region.
Data from 1493 respondents was used to estimate the value set. A censored hybrid model corrected for heteroscedasticity was selected to represent the value set. The highest decrements in utility were observed for the pain/discomfort dimension (0.375), followed by the mobility dimension (0.293). Health utilities ranged from 1.000 to - 0.323 and 1.3% of the values were negative. The model was corrected with survey weights to better reflect the representativeness of the sample, but the first two coefficients of the self-care dimension stopped being logically consistent. Differences were found between the Romanian, Hungarian and Polish EQ-5D-5L value sets. Good agreement was noted with the Romanian EQ-5D-3L value set, with a swap between pain/discomfort and mobility in ranking of dimensions.
A value set for EQ-5D-5L is now available for Romania. This will push one-step further the development of health technology assessment and encourage more health-related quality-of-life research to be conducted locally.
我们旨在为罗马尼亚开发 EQ-5D-5L 价值集。
根据 EuroQoL 标准化估值方案,在罗马尼亚的代表性样本中进行了面对面的计算机辅助访谈(2018 年 11 月至 2019 年 11 月)。估值方法包括综合时间权衡和离散选择实验任务。测试了几种模型,包括考虑数据删失、数据面板结构、异方差、条件逻辑和混合模型的模型。最终模型是根据逻辑一致性、理论考虑和使用所有可用数据选择的。我们将我们的价值集与来自中东欧地区的其他价值集进行了比较。
使用来自 1493 名受访者的数据来估计价值集。选择了校正异方差的删失混合模型来代表价值集。效用的最大降幅出现在疼痛/不适维度(0.375),其次是移动性维度(0.293)。健康效用范围从 1.000 到-0.323,1.3%的值为负数。该模型使用调查权重进行了校正,以更好地反映样本的代表性,但自我护理维度的前两个系数不再具有逻辑一致性。罗马尼亚、匈牙利和波兰的 EQ-5D-5L 价值集之间存在差异。与罗马尼亚 EQ-5D-3L 价值集的一致性较好,在维度排名上,疼痛/不适和移动性互换。
现在罗马尼亚有了 EQ-5D-5L 的价值集。这将进一步推动健康技术评估的发展,并鼓励更多的健康相关生活质量研究在当地进行。