Objective: To estimate a value set for the calculation of Italian specific Quality-Adjusted-Life-Years (QALYs), based on preferences elicited on EQ-5D health states using the time trade-off (TTO) technique. Methods: the revised standard Measurement and Valuation of Health (MVH) protocol was followed. Twenty-five health states, divided into 3 groups and given to 450 subjects, were selected to obtain 300 observations per state. Subjects aged 18-75 years were recruited to be representative of the Italian general adult population for age, gender and geographical distribution. To improve efficiency, face-to-face interviews were conducted using the Computer Assisted Personal Interviewing approach. Several random effects regression models were tested to predict the full set of EQ-5D health states. Model selection was based on logical consistency of the estimates, sign and magnitude of the regression coefficients, goodness of fit and parsimony. Results: The most efficient model includes 10 main effect dummy variables for the EQ-5D domain levels and the D1 interaction term, which accounts for the number of dimensions at levels 2 or 3 beyond the first. This model has a R2=0.389 and an MAE=0.03, comparable to or better than models used in other Countries. The utility estimates after state 11111 range from 0.92 (21111) to -0.38 (33333). Italian utility estimates are higher than those estimated in the UK and Spain and used so far to assess QALYs and conduct cost-utility evaluations in Italy. Conclusion: A specific value set is now available to calculate QALYs for the conduction of health economic studies targeted at the Italian healthcare system.
(2013). Preferenze della popolazione italiana per gli stati di salute dell'EQ-5D. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2013).
Preferenze della popolazione italiana per gli stati di salute dell'EQ-5D
CORTESI, PAOLO ANGELO
2013
Abstract
Objective: To estimate a value set for the calculation of Italian specific Quality-Adjusted-Life-Years (QALYs), based on preferences elicited on EQ-5D health states using the time trade-off (TTO) technique. Methods: the revised standard Measurement and Valuation of Health (MVH) protocol was followed. Twenty-five health states, divided into 3 groups and given to 450 subjects, were selected to obtain 300 observations per state. Subjects aged 18-75 years were recruited to be representative of the Italian general adult population for age, gender and geographical distribution. To improve efficiency, face-to-face interviews were conducted using the Computer Assisted Personal Interviewing approach. Several random effects regression models were tested to predict the full set of EQ-5D health states. Model selection was based on logical consistency of the estimates, sign and magnitude of the regression coefficients, goodness of fit and parsimony. Results: The most efficient model includes 10 main effect dummy variables for the EQ-5D domain levels and the D1 interaction term, which accounts for the number of dimensions at levels 2 or 3 beyond the first. This model has a R2=0.389 and an MAE=0.03, comparable to or better than models used in other Countries. The utility estimates after state 11111 range from 0.92 (21111) to -0.38 (33333). Italian utility estimates are higher than those estimated in the UK and Spain and used so far to assess QALYs and conduct cost-utility evaluations in Italy. Conclusion: A specific value set is now available to calculate QALYs for the conduction of health economic studies targeted at the Italian healthcare system.File | Dimensione | Formato | |
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Phd_unimib_734524.pdf
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