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Cited by 146Health Systems, Economic Evaluations, Quality of LifeEconomic and Environmental ValuationDelphi Technique in Research

The DOI matches its Crossref record; 51 of the 53 references it cites were found in a registry or an index.

Italian Population-Based Values of EQ-5D Health States

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Scalone, Luciana, Cortesi, Paolo A., Ciampichini, Roberta, Belisari, Andrea, D’Angiolella, Lucia S., Cesana, Giancarlo, Mantovani, Lorenzo G.·2013·Value in Health
DOI 10.1016/j.jval.2013.04.008
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Abstract

Objective To estimate a value set for the calculation of Italian-specific quality-adjusted life years (QALYs), based on preferences elicited on EuroQol five-dimensional (EQ-5D) questionnaire health states using the time trade-off technique.Methods The revised standard Measurement and Valuation of Health protocol was followed. Twenty-five health states, divided into three groups and given to 450 subjects, were selected to obtain 300 observations per state. Subjects aged 18 to 75 years were recruited to be representative of the Italian general adult population for age, sex, and geographical distribution. To improve efficiency, face-to-face interviews were conducted by using the Computer Assisted Personal Interviewing approach. Several random effects regression models were tested to predict the full set of EQ-5D questionnaire 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 model that satisfied the criteria of logical consistency and was more efficient includes 10 main effect dummy variables for the EQ-5D questionnaire 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 an R(2) of 0.389 and a mean absolute error of 0.03, which are comparable to or better than those of 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 United Kingdom and Spain and used so far to assess QALYs and conduct cost-utility evaluations in Italy.Conclusions A specific value set is now available to calculate QALYs for the conduction of health economic studies targeted at the Italian health care system.

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  1. Macran S, Kind P. Valuing EQ-5D health states using a modified MVH protocol: preliminary results. In: Badia X, Herdman M, Roset M, eds., Proceedings of the 16th Plenary Meeting of the EuroQol Group, pp. 205–40. Barcelona, Spain: Institut de SalutPublica de Catalunya, 2000.

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Metadata

Authors
Scalone, L., Cortesi, P. A., Ciampichini, R., Belisari, A., D’Angiolella, L. S., Cesana, G., & Mantovani, L. G.
Affiliations
  • University of Milano-Bicocca (IT)
  • University of Naples Federico II (IT)
Corresponding author
Scalone, Luciana
ORCID
Venue
Value in Health
Publisher
Elsevier BV
Published
2013-07
Volume
16
Issue
5
Pages
814-822
ISSN
1098-3015 (ISSN-L)
DOI
10.1016/j.jval.2013.04.008
OpenAlex
W2051424809
Cited by
145
References
53
Citations by year
2026: 5 · 2025: 8 · 2024: 8 · 2023: 15 · 2022: 14 · 2021: 19 · 2020: 15 · 2019: 16 · 2018: 10 · 2017: 10 · 2016: 13 · 2015: 7 · 2014: 3 · 2013: 2
FWCI
19.50
Type
journal article
Language
en
Open access
Licence
Locations
  • Value in Health (publishedVersion)
  • PubMed (publishedVersion)
  • BOA (University of Milano-Bicocca) (submittedVersion)
Funders
Università degli Studi di Milano
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
  • Social Sciences › Sociology and Political Science › Delphi Technique in Research
Keywords
EQ-5D, health utility, time trade-off, quality-adjusted life years, health state valuation
MeSH terms
Adolescent, Adult, Age Factors, Aged, Attitude to Health, Cost-Benefit Analysis, Female, Health Status, Humans, Italy, Male, Middle Aged, Psychometrics, Quality of Life, Sex Factors, Socioeconomic Factors, Time Factors, Quality-Adjusted Life Years, Young Adult

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