Value Set for the EQ-5D-Y-3L in Hungary

Abstract

Background The Hungarian health technology assessment guidelines recommend the use of the EuroQol instrument family in quality-adjusted life-year calculations. However, no national value set exists for the EQ-5D-Y-3L or any other youth-specific instrument. Objective This study aims to develop a national value set of the EQ-5D-Y-3L for Hungary based on preferences of the general adult population. Methods This study followed the international valuation protocol for the EQ-5D-Y-3L. Two independent samples, representative of the Hungarian general adult population in terms of age and sex were recruited to complete online discrete choice experiment (DCE) tasks and composite time trade-off (cTTO) tasks by computer-assisted personal interviews. Adults valued hypothetical EQ-5D-Y-3L health states considering the health of a 10-year-old child. DCE data were modelled using a mixed logit model with random-correlated coefficients. Latent DCE utility estimates were mapped onto mean observed cTTO utilities using ordinary least squares regression. Results Overall, 996 and 200 respondents completed the DCE and cTTO surveys, respectively. For each domain, the value set resulted in larger utility decrements with more severe response levels. The relative importance of domains by level 3 coefficients was as follows: having pain or discomfort > feeling worried, sad or unhappy > mobility > doing usual activities > looking after myself. Overall, 12.3% of all health states had negative utilities in the value set, with the worst health state having the lowest predicted utility of − 0.485. Conclusion This study developed a national value set of the EQ-5D-Y-3L for Hungary. The value set enables to evaluate the cost utility of health technologies for children and adolescents based on societal preferences in Hungary. Supplementary Information The online version contains supplementary material available at 10.1007/s40273-022-01190-2.

Estimating an EQ-5D-Y-3L Value Set for China

“…In line with the consensus of not solely using the value of 33333 for anchoring purposes [ 18 ], a value gap between state 33333 (−0.088) and the second worst health state 33323 (0.219) was observed in this study, as in other published EQ-5D-Y-3L valuation studies [ 21 – 26 ]. For example, in the Japanese EQ-5D-Y-3L value set, although all observed values were positive, a value gap of 0.28 existed between 33333 and the second worst state 33232 [ 22 ].…”

“…It appears that the values for EQ-5D-Y-3L state 33333 in Asian countries (China: − 0.088; Japan: 0.200 [ 22 ]; Indonesia: − 0.086) have been significantly higher than those elicited in European countries (Slovenia: − 0.691 [ 23 ]; Germany: − 0.260 [ 21 ]; Spain: − 0.389 [ 24 ]; Hungary: − 0.517 [ 26 ]; the Netherlands: − 0.372 [ 25 ]), implying cultural differences in the valuation of child health states. However, this pattern was not evident for EQ-5D-5L valuation studies, that is, the predicted value of 55555 was − 0.341 for China [ 7 ], − 0.019 for Japan [ 38 ], − 0.719 for Indonesia [ 28 ], − 0.166 for Spain [ 27 ], − 0.462 for Germany [ 39 ], − 0.642 for Hungary [ 40 ], and − 0.446 for the Netherlands [ 41 ].…”

“…To date, six countries have published their EQ-5D-Y-3L value sets following the international EQ-5D-Y-3L valuation protocol [ 21 – 26 ]. All six studies used DCE methods for determining relative preferences and cTTO values for anchoring, though the choices of models and anchoring methods differed.…”

Analytical Considerations When Anchoring Discrete Choice Experiment Values Using Composite Time Trade-Off Data: The Case of EQ-5D-Y-3L

“…Three published EQ-5D-Y-3L valuation studies have made comparisons using different anchoring approaches, finding that (in line with this case study) alignment is worse with the worst state rescaling approach compared with other approaches [ 20 , 22 , 23 ]. Furthermore, the worst state rescaling approach consistently produced a lower predicted value for the worst state relative to other approaches (resulting in greater value set ranges) [ 20 , 22 , 23 ]. Finally, differences were also observed in the importance of dimensions between the hybrid model and DCE results [ 20 ].…”

Findings from a Roundtable Discussion with US Stakeholders on Valuation of the EQ-5D-Y-3L

“…This approach enables the estimation of latent scale values through DCEs and anchoring them onto a 0-1 health utilities scale from cTTO data (with 0 = dead and 1 = full health). To date, adapting guidance from the international protocol, EQ-5D-Y-3L valuation studies have been completed and published by teams from multiple countries, including Japan [3], Slovenia [4], Spain [5], Germany [6], Hungary [7], and The Netherlands [8]. Additional valuation studies are underway in approximately a dozen countries, including the United States (US).…”