White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

Common scale valuations across different preference-based measures: estimation using rank data

Hernández, M., Brazier, J., Rowen, D. and Tsuchiya, A. (2012) Common scale valuations across different preference-based measures: estimation using rank data. HEDS Discussion Paper 12/02. (Unpublished)


Download (227Kb)


Background: Different preference-based measures (PBMs) used to estimate Quality Adjusted Life Years (QALYs) provide di¤erent utility values for the same patient. Differences are expected since values have been obtained using different samples, valuation techniques and descriptive systems. Previous studies have estimated the relationship between pairs of PBMs using patient self-reported data. However, there is a need for an approach capable of generating values directly on a common scale for a range of PBMs using the same sample of general population respondents and valuation technique but keeping the advantages of the different descriptive systems.

Methods: General public survey data (n=501) where respondents ranked health states described using subsets of six PBMs were analysed. We develop a new model based on the mixed logit to overcome two key limitations of the standard rank ordered logit model, namely, the unrealistic choice pattern (Independence of Irrelevant Alternatives) and the independence of repeated observations.

Results: There are substantial differences in the estimated parameters between the two models (mean di¤erence 0.07) leading to di¤erent orderings across the measures. Estimated values for the best states described by di¤erent PBMs are substantially and significantly di¤erent using the standard model, unlike our approach which yields more consistent results.

Limitations: Data come from a exploratory study that is relatively small both in sample size and coverage of health states.

Conclusions: This study develops a new, �exible econometric model specifically designed to reflect appropriately the features of rank data. Results support the view that the standard model is not appropriate in this setting and will yield very different and apparently inconsistent results. PBMs can be compared using a common scale by implementation of this new approach.

Item Type: Article
Keywords: Rank ordered mixed logit model; Normal error component logit-mixture; Quality of life; Preference-based mapping
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Health Economics and Decision Science > HEDS Discussion Paper Series
Depositing User: ScHARR / HEDS (Sheffield)
Date Deposited: 08 Oct 2012 15:40
Last Modified: 17 Mar 2016 02:35
Status: Unpublished
URI: http://eprints.whiterose.ac.uk/id/eprint/74528

Actions (repository staff only: login required)