Rescaled Value Set Regressions: Making the Nonparametric Crosswalk Between EQ-5D-5L and EQ-5D-3L More Transparent

Introduce the rescaled value set regression for estimating EQ-5D-5L health state values as an alternative way to report the nonparametric crosswalk.

The rescaled value set regression and the nonparametric crosswalk methods were applied to estimate EQ-5D-5L state values from EQ-5D-3L value sets for 3 example countries (United Kingdom, The Netherlands, and Spain). The rescaled value set regression converted the original 3-level value set regression parameters comprising dichotomous independent variables into regression parameters for the 5-level version. The health state values for 28 common EQ-5D-5L response profiles were then estimated by the rescaled value set regression and nonparametric crosswalk to assess whether they produced the same results using value sets from the 3 different countries.

When applied to EQ-5D-3L value sets, the rescaled value set regression demonstrated that a level-2 response and level-3 response using the EQ-5D-3L, respectively, corresponded with a level-3 response and level-5 response using the EQ-5D-5L. The analysis of 28 common EQ-5D-5L response profiles produced identical health state values for the United Kingdom, The Netherlands, and Spain's value sets under both the rescaled value set regression and nonparametric crosswalk.

The rescaled value set regression provides improved transparency than the nonparametric crosswalk when estimating EQ-5D-5L health state values anchored to EQ-5D-3L value sets. Both methods may be used in combination for jurisdictions where new EQ-5D-5L valuation studies are not planned but a relevant EQ-5D-3L value set is available.