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

Abstract

Background and Objective There is increasing interest in preference-accompanied measures of health for paediatric populations. The child-friendly EQ-5D version, EQ-5D-Y-3L, is one such instrument, but the lack of a Dutch value set prevents its use in economic evaluations of healthcare interventions in the Netherlands. This study aims at covering this gap by collecting preferences using a standardised protocol for deriving EQ-5D-Y-3L value sets. Methods Composite time trade-off data were collected using videoconferencing interviews, with each respondent completing ten composite time trade-off tasks. Discrete choice experiment data were collected using an online survey, with respondents each completing 15 paired comparisons. Respondents completed these tasks considering what they prefer for a hypothetical 10-year-old child. Discrete choice experiment data were analysed using a ten-parameter mixed-logit model and anchored to the quality-adjusted life-year scale using the mean observed composite time trade-off values. Results The study collected preferences for 197 respondents using composite time trade-off and for 959 respondents using a discrete choice experiment. The discrete choice experiment sample was representative for the Dutch population in terms of age and sex. The level 3 weight for pain/discomfort was the largest, followed by feeling worried, sad or unhappy, usual activities, mobility and self-care. Health state values ranged between −0.218 and 1. Conclusions This study generated a Dutch value set for the EQ-5D-Y-3L, which can be used for the computation of quality-adjusted life-years for economic evaluations of healthcare interventions in paediatric populations. Supplementary Information The online version contains supplementary material available at 10.1007/s40273-022-01192-0.

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).…”

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

“…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 ].…”