泰国的EQ-5D-5L估值研究。

The EQ-5D-5L Valuation study in Thailand.

作者信息

Pattanaphesaj Juntana, Thavorncharoensap Montarat, Ramos-Goñi Juan Manuel, Tongsiri Sirinart, Ingsrisawang Lily, Teerawattananon Yot

机构信息

a Social and Administrative Pharmacy Excellence Research (SAPER) Unit, Department of Pharmacy, Faculty of Pharmacy , Mahidol University , Rajathevi , Bangkok , Thailand.

b Health Intervention and Technology Assessment Program (HITAP) , Nonthaburi , Thailand.

出版信息

Expert Rev Pharmacoecon Outcomes Res. 2018 Oct;18(5):551-558. doi: 10.1080/14737167.2018.1494574. Epub 2018 Jul 6.

Abstract

BACKGROUND

At present, health technology assessment (HTA) guidelines of many countries including Thailand have recommended EQ-5D as the preferred method for assessing utility. This study aims to generate an EQ-5D-5L value set based on societal preferences of Thai population.

METHODS

A 1,207 representative sample was recruited using a stratified multi-stage quota sampling technique. Face-to-face, computer-assisted interviews using the EuroQol Valuation Technology (EQ-VT) software were employed. To elicit preference score, each respondent was asked to value health states using composite time trade-off (cTTO), and discrete choice experiment (DCE). All data were integrated and analyzed using a hybrid regression model to estimate the value set.

RESULTS

Characteristics of 1,207 participants were generally similar to those of Thai general population. The coefficients generated from a hybrid model were logically consistent. The second best value is 0.9436 for health state 11121 and the worst state (55555) value is -0.4212. Mobility shows the greatest impact to utility decrement.

CONCLUSIONS

Our study developed a Thai value set for EQ-5D using hybrid model. The findings from this study are of important to facilitate health technology assessment studies to inform policy decision-making as well as to promote the use of EQ-5D-5L in various health research in Thailand.

摘要

背景

目前,包括泰国在内的许多国家的卫生技术评估(HTA)指南都推荐将EQ-5D作为评估效用的首选方法。本研究旨在基于泰国人群的社会偏好生成一个EQ-5D-5L价值集。

方法

采用分层多阶段配额抽样技术招募了1207名具有代表性的样本。使用欧洲生活质量评估技术(EQ-VT)软件进行面对面的计算机辅助访谈。为了得出偏好分数,要求每位受访者使用综合时间权衡法(cTTO)和离散选择实验(DCE)对健康状态进行估值。所有数据均进行整合,并使用混合回归模型进行分析以估计价值集。

结果

1207名参与者的特征与泰国普通人群的特征总体相似。混合模型生成的系数在逻辑上是一致的。健康状态11121的第二佳值为0.9436,最差状态(55555)的值为-0.4212。行动能力对效用下降的影响最大。

结论

我们的研究使用混合模型开发了泰国的EQ-5D价值集。本研究的结果对于促进卫生技术评估研究以为政策决策提供信息以及在泰国的各种健康研究中推广使用EQ-5D-5L具有重要意义。

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