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An EQ-5D-5L Value Set for Vietnam.
Quality of Life Research ( IF 3.3 ) Pub Date : 2020-03-27 , DOI: 10.1007/s11136-020-02469-7
Vu Quynh Mai 1 , Sun Sun 2, 3 , Hoang Van Minh 4 , Nan Luo 5 , Kim Bao Giang 6 , Lars Lindholm 2 , Klas Goran Sahlen 2
Affiliation  

Purpose

The objective of this study was to develop an EQ-5D-5L value set based on the health preferences of the general adult population of Vietnam.

Methods

The EQ-VT protocol version 2.1 was applied. Multi-stage stratified cluster sampling was employed to recruit a nationally representative sample. Both composite time trade-off (C-TTO) and discrete choice experiment (DCE) methods were used. Several modelling approaches were considered including hybrid; tobit; panel and heteroscedastic models. First, models using C-TTO or DCE data were tested separately. Then possibility of combining the C-TTO and DCE data was examined. Hybrid models were tested if it was sensible to combine both types of data. The best-performing model was selected based on both the consistency of the results produced and the degree to which models used all the available data.

Results

Data from 1200 respondents representing the general Vietnamese adult population were included in the analyses. Only the DCE Logit model and the regular Hybrid model that uses all available data produced consistent results. As the priority was to use all available data if possible, the hybrid model was selected to generate the Vietnamese value set. Mobility had the largest effect on health state values, followed by pain/discomfort, usual activities, anxiety/depression and self-care. The Vietnam values ranged from − 0.5115 to 1.

Conclusion

This is the first value set for EQ-5D-5L based on social preferences obtained from a nationally representative sample in Vietnam. The value set will likely play a key role in economic evaluations and health technology assessments in Vietnam.



中文翻译:

越南的EQ-5D-5L值集。

目的

这项研究的目的是根据越南普通成年人的健康状况,开发一套EQ-5D-5L值。

方法

应用了EQ-VT协议版本2.1。采用多阶段分层整群抽样来招募具有全国代表性的样本。使用了复合时间权衡(C-TTO)和离散选择实验(DCE)方法。考虑了几种建模方法,包括混合模型。轨道 面板和异方差模型。首先,分别测试了使用C-TTO或DCE数据的模型。然后研究了将C-TTO和DCE数据合并的可能性。测试混合模型是否适合合并两种类型的数据。基于产生的结果的一致性以及模型使用所有可用数据的程度,选择了性能最佳的模型。

结果

分析中包括了代表越南成年人口的1200名受访者的数据。只有DCE Logit模型和使用所有可用数据的常规Hybrid模型才能产生一致的结果。由于尽可能优先使用所有可用数据,因此选择了混合模型以生成越南语值集。流动性对健康状况的影响最大,其次是疼痛/不适,日常活动,焦虑/抑郁和自我保健。越南值范围从− 0.5115到1。

结论

这是根据从越南全国代表样本中获得的社会偏好而为EQ-5D-5L设置的第一个值。设定的值可能会在越南的经济评估和卫生技术评估中发挥关键作用。

更新日期:2020-03-27
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