Juntana Pattanaphesaj1,2, Montarat Thavorncharoensap1,2, Juan Manuel Ramos-Goñi3, Sirinart Tongsiri4, Lily Ingsrisawang5, Yot Teerawattananon2. 1. a Social and Administrative Pharmacy Excellence Research (SAPER) Unit, Department of Pharmacy, Faculty of Pharmacy , Mahidol University , Rajathevi , Bangkok , Thailand. 2. b Health Intervention and Technology Assessment Program (HITAP) , Nonthaburi , Thailand. 3. c Executive Office , EuroQol Research Foundation , Rotterdam , Netherlands. 4. d Faculty of Medicine , Mahasarakham University , Muang , Mahasarakham Thailand. 5. e Department of Statistics , Kasetsart University , Bangkok , Thailand.
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.
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.
Entities:
Keywords:
EQ-5D-5L; health status index; quality of life; utility; value set