Presentation (CTI)

OBJECTIVES: Introduce the rescaled tariff regression for EQ-5D-5L health state valuation and demonstrate its equivalence with the nonparametric crosswalk.
METHODS: The rescaled tariff regression and the nonparametric crosswalk methods were applied to a stylised example using the simplest case possible to demonstrate equivalence. Both methods were then applied to estimate EQ-5D-5L state values from EQ-5D-3L value sets for three countries (United Kingdom, the Netherlands, Spain). The rescaled tariff regression converted the original three-level value set regression parameters comprising dichotomous independent variables into regression parameters for the five-level version. The state valuations for twenty-eight common EQ-5D-5L response profiles were then estimated by the rescaled tariff regression and nonparametric crosswalk to assess equivalence using value sets from the three different countries.
RESULTS: The stylised example demonstrated that the rescaled tariff regression and nonparametric crosswalk estimated identical health state values. When applied to EQ-5D-3L value sets, the rescaled tariff regression demonstrated that a level-two response and level-three response using the EQ-5D-3L, respectively, corresponded with a level-three response and level-five response using the EQ-5D-5L. The analysis of twenty-eight 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 tariff regression and nonparametric crosswalk.
CONCLUSIONS: The rescaled tariff 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.