Healthtechnology assessment (HTA) is a systemic way to evaluate the effect and/orimpacts of health technology in order to inform a policy decision making1. Due to scarcityof health resource and increasing high cost of available health technology,demand for HTA evidences is increasing. During a past decade, HTA has receivedgreat attention by stakeholders and has a significant tool for evidence-basedpolicy decision making in Thailand 2, 3. According to theThai national guidelines of HTA 4, 5, a cost-utilityanalysis was recommended as a preferred method for assessing thecost-effectiveness of health technology. For cost-utility analysis, outcome ofhealth technology is measured in terms of quality-adjusted life year (QALY),which enable comparison across different types of health technology.
QALY iscalculated by the amount of life expectancy multiply by the utility score,which is varied by each individual’s preferences of his/her health status. TheThai national guideline of HTA 6 has recommendedEQ-5D as the preferred instrument for assessing the utility forHTA studies.TheEQ-5D is a widely used generic instrument for describing health outcome 7. It contains fivedimensions i.
e. mobility, self-care, usual activities, pain/discomfort andanxiety/depression. The first version of EQ-5D, the EQ-5D-3L, comprises threelevels of responses, i.e no problems, some/moderate problems, andunable/extreme problems, which generates total of 243 possible health states.However, the main limitation of the EQ-5D-3L, e.
g. ceiling effect, has beenwell documented 8-11. In response tothis problems, the 5-level of EQ-5D (EQ-5D-5L) was developed by a task forcewithin the EuroQol group in 2005 12. This version includes five levels ofimpairment in each of the existing five EQ-5D dimensions.
So, 3,125 possiblehealth states are described. Several studies 13-16 examining itsmeasurement property and found the improvement in its validity and reliabilitycompared with the EQ-5D-3L. Thecountry-specific value sets is needed to translate the descriptive answer fromthe EQ-5D into the index score as there are difference in socioeconomic andcultural across countries. In Thailand, the Thai value sets for the EQ-5D-3Lwere established since 2009 by Tongsiri et al 17. The utility wasdirectly elicited by time trade-off (TTO) method using the Measurement andvaluation in Health (MVH) protocol. These second best score is 0.
766 for state11112 while the lowest score is -0.454 for state 33333. At the present, the EQ-5D-5Lin Thai version is available, so it is mean time to develop Thai value sets forthe EQ-5D-5L. This paper aims to develop the value sets for the EQ-5D-5L Thaiversion for use in health technology assessment, clinical research, andpopulation surveys.