A Systematic Review of the Methodologies and Modelling Approaches Used to Generate International EQ-5D-5L Value Sets

Donna Rowen (), Clara Mukuria and Emily McDool
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Donna Rowen: University of Sheffield
Clara Mukuria: University of Sheffield
Emily McDool: University of Sheffield

PharmacoEconomics, 2022, vol. 40, issue 9, No 3, 863-882

Abstract: Abstract Background The international protocol for valuing EQ-5D-5L focuses upon prescribed preference elicitation methods and design. However, there are no recommendations around sampling, recruitment, data analysis or modelling to generate the EQ-5D-5L value set. This review examines methods used to generate international EQ-5D-5L values sets, across sampling, recruitment, data analysis, modelling, assessing model performance and selection of the recommended value set. Methods All published EQ-5D-5L value sets were identified by a systematic search and confirmed by the EuroQol Group. Data were extracted to assess sampling, recruitment, preference elicitation techniques and design, data analysis, modelling, assessing model performance, and vale set selection. These are summarised in tables. Results The review included 29 studies with 27 value sets generated using time-trade-off (TTO) data (n = 10) only or using a hybrid model that combines TTO and discrete choice experiment data (n = 17). TTO data were most commonly estimated using a heteroscedastic Tobit model with censoring at − 1, and the hybrid model using a specially created program. Model performance was generally assessed using goodness of fit, logical consistency and significance of coefficients, suitability of the model for the data characteristics and parsimony, though not all selected models account for the specific characteristics of the data. Discussion Different assessments of model performance and reasoning are provided for the selection of the recommended value set for a country. This raises the question of valid criteria for selecting a recommended value set and whether this should rely upon researchers’ recommendations when value sets are often used to inform public policy.

Date: 2022
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DOI: 10.1007/s40273-022-01159-1

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