Economics at your fingertips  

Deriving utility weights for the EQ-5D-5L using a discrete choice experiment. CHERE Working Paper 2012/01

Richard Norman, Paula Cronin () and Rosalie Viney ()
Additional contact information
Paula Cronin: CHERE, University of Technology, Sydney

Working Papers from CHERE, University of Technology, Sydney

Abstract: Purpose: To estimate an Australian algorithm for the newly developed 5-level version of the EQ-5D, for use in the economic evaluation of health and healthcare interventions. Methods: A discrete choice experiment (DCE) was run in an online Australian-representative sample. A random-effects probit model was estimated, and converted to a zero to one scale for use in economic evaluation. Results: At least one choice set was completed by 944 respondents, of which 932 completed all ten choice sets. The mean and median completion times were 17.9 and 9.4 minutes respectively, demonstrating a highly skewed pattern. Respondents were slightly younger and better-educated than the general Australian population. The regression results broadly reflect the monotonic nature of the EQ-5D-5L. Utility increases in life expectancy, and decreases in higher levels in each dimension of the instrument. A high proportion of respondents found the task clear and relatively easy to complete. Conclusions: DCEs are a valuable approach in the estimation of utility weights for multi-attribute utility instruments such as the EQ-5D-5L.

Keywords: Discrete choice experiments; EQ-5D; multi-attribute utility measurement (search for similar items in EconPapers)
JEL-codes: I1 I19 (search for similar items in EconPapers)
Date: 2012-01
New Economics Papers: this item is included in nep-dcm
References: View references in EconPapers View complete reference list from CitEc

Downloads: (external link) First version, (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this paper

More papers in Working Papers from CHERE, University of Technology, Sydney Contact information at EDIRC.
Bibliographic data for series maintained by Liz Chinchen ( this e-mail address is bad, please contact ).

Page updated 2024-06-20
Handle: RePEc:her:chewps:2012/01