Department of Health Management, Policy, and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Health Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Qual Life Res. 2023 Jul;32(7):2079-2087. doi: 10.1007/s11136-023-03378-1. Epub 2023 Mar 10.
The main aim of this study is to estimate a national value set of the EQ-5D-5L questionnaire for Iran.
The composite time trade-off (cTTO) and discrete choice experiment (DCE) methods; and the protocol for EuroQol Portable Valuation Technology (EQ-PVT) were used to estimate the Iran national value set. 1179 face-to-face computer-assisted interviews were conducted with adults that were recruited from five Iran major cities in 2021. Generalized least squares, Tobit, heteroskedastic, logit, and hybrid models were used to analyze the data and to identify the best fitting model.
According to the logical consistency of the parameters, significance levels and prediction accuracy indices of the MAE; a heteroscedastic censored Tobit hybrid model combining cTTO and DCE responses was considered as the best fitting model to estimate the final value set. The predicted values ranged from - 1.19 for the worst health state (55555) to 1 for full health (11111), with 53.6% of the predicted values being negative. Mobility was the most influential dimension on health state preference values.
The present study estimated a national EQ-5D-5L value set for Iranian policy makers and researchers. The value set enables the EQ-5D-5L questionnaire to use to calculate QALYs to assist the priority setting and efficient allocation of limited healthcare resources.
本研究的主要目的是估算伊朗 EQ-5D-5L 问卷的国家价值体系。
采用复合时间权衡法（cTTO）和离散选择实验（DCE）方法；以及 EuroQol 便携式估值技术（EQ-PVT）协议来估算伊朗国家价值体系。2021 年，在伊朗五个主要城市，对 1179 名成年人进行了面对面的计算机辅助访谈。使用广义最小二乘法、Tobit、异方差、Logit 和混合模型来分析数据并确定最佳拟合模型。
根据参数的逻辑一致性、MAE 的显著水平和预测精度指标；一种将 cTTO 和 DCE 反应相结合的异方差截尾 Tobit 混合模型被认为是估计最终价值体系的最佳拟合模型。预测值范围从最差健康状态（55555）的-1.19 到完全健康（11111）的 1，其中 53.6%的预测值为负值。移动性是对健康状态偏好值影响最大的维度。
本研究为伊朗政策制定者和研究人员估算了国家 EQ-5D-5L 价值体系。该价值体系使 EQ-5D-5L 问卷能够用于计算 QALY，以协助确定优先事项和有效分配有限的医疗保健资源。
