Abstract

From 2021, the Danish Medicines Council will include analyses based on quality-adjusted life-years (QALYs) when assessing new medicines in the hospital sector. A Danish EQ-5D-3L value set was published in 2009, and a ‘crosswalk’ is available for the EQ-5D-5L. The current study aimed to generate a Danish EQ-5D-5L value set based on interviews with a representative sample of the adult Danish general population. Respondents were recruited through quota sampling on the basis of age, sex, education, and geographical region to achieve a nationally representative sample. The standard EuroQol Valuation Technology (EQ-VT) was administered in a computer-assisted personal interview comprising composite time-trade-off (cTTO) with direct valuation of 86 states and discrete choice experiment (DCE) with 196 pairs of health states. The interviewers received intensive training, and the EQ-VT quality control process was closely followed. The cTTO and DCE data were modelled separately and in combination to estimate coefficients representing utility decrements for each level in the five EQ-5D-5L dimensions. A total of 1,014 interviews provided cTTO and DCE data for modelling. The cTTO and DCE values showed the same tendencies across state severity, and a hybrid model combining cTTO and DCE data proved to be the best model. This produced consistent positive coefficients, where moving from one level to the next in each dimension showed decrements in utility. All coefficients were significant except those for the third levels of mobility, self-care, and usual activities. The highest decrements in utility were for anxiety/depression and pain/discomfort. This ranking of dimensions differs from a range of other countries, placing pain/discomfort highest followed by mobility. This study has produced a Danish value set for EQ-5D-5L based on a hybrid model combining cTTO and DCE data.

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