Abstract
PurposeThe 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.MethodsThe 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.ResultsData 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.ConclusionThis 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.
Highlights
Thanks in part to advances in medicine and public health, Vietnamese people live longer, though clearly not all years are spent in full health [1]
A summary measure, such as quality-adjusted life years (QALYs), which combines both the quality and quantity of health, can be a useful tool for decision-makers involved in health technology assessment (HTA) [2, 3]
Disutility weights from this Hybrid model were used to calculate values for all health states in the Vietnamese EQ-5D-5L value set
Summary
Thanks in part to advances in medicine and public health, Vietnamese people live longer, though clearly not all years are spent in full health [1]. In such situations, a summary measure, such as quality-adjusted life years (QALYs), which combines both the quality (health status) and quantity (life years) of health, can be a useful tool for decision-makers involved in health technology assessment (HTA) [2, 3]. HTA guidelines are currently being developed for Vietnam and, since 2018, the Ministry of Health has required HTA to be performed for any new drugs intended for inclusion in health insurance packages [4].
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