Evaluating Equivalency Between Response Systems: Application of the Rasch Model to a 3-Level and 5-Level EQ-5D
Abstract
BACKGROUND: Expansion of the EQ-5D health state classifier to 5 levels (EQ-5D-5L) has been proposed to improve discriminative and evaluative properties, but current preference-based algorithms were developed for a 3-level (EQ-5D-3L) structure. The objectives were to examine equivalency of meaning between 3L and 5L response systems, and to psychometrically derive a system of weights that facilitate conversion of 3L preference-based algorithms to a 5L system. METHODS: Rasch models were used to examine the equivalency of the 3L and 5L systems using 2 datasets where health status was assessed using the 3L and 5L: a Dutch study of primarily hypothetical health state assessments and a US-based multicenter study of 423 cancer patients. Category-specific mean values of latent person parameters (using maximum likelihood estimation) for the levels of the 3L and 5L systems were estimated. RESULTS: Means on the latent continuum pertaining to level 3 in the 5L system and level 2 in the 3L (some problems) were similar for both datasets, suggesting equivalence of these levels. Extremes of the 5L response structure consistently broadened the measurement continuum. By anchoring "no problems" as 0 disutility, disutility weights from EQ-5D-3L were transformed into weights for EQ-5D-5L using ratios of logit distances between person means for 5L and 3L calibrated for each dimension using the Rasch model. CONCLUSIONS: This study illustrates the rich potential for modern psychometric techniques both to examine equivalency when health status measures are modified as well as to inform preference-based measurement systems using existing value sets.
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Previously published studies by EuroQol Group members showed that prototype 5-level versions of EQ-5D could significantly increase reliability and sensitivity (discriminatory power) while maintaining feasibility and potentially reducing ceiling effects.
“Previously published studies by EuroQol Group members showed that prototype 5-level versions of EQ-5D could significantly increase reliability and sensitivity (discriminatory power) while maintaining feasibility and potentially reducing ceiling effects [12–15].”
From Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L) (2011) · cites this paper as [15]
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- Authors
- Pickard, A. S., Kohlmann, T., Janssen, M. F., Bonsel, G., Rosenbloom, S., & Cella, D.
- Affiliations
- Edward Hines, Jr. VA Hospital (US)
- Universitätsmedizin Greifswald (DE)
- Amsterdam UMC Location University of Amsterdam (NL)
- Northwestern University (US)
- Corresponding author
- Pickard, A Simon
- Venue
- Medical Care
- Published
- 2007-09
- Volume
- 45
- Issue
- 9
- Pages
- 812-819
- ISSN
- 0025-7079 (ISSN-L)
- OpenAlex
- W2033181937
- Cited by
- 66
- References
- 17
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 3 · 2023: 5 · 2022: 4 · 2021: 5 · 2020: 3 · 2019: 2 · 2017: 2 · 2016: 5 · 2015: 2 · 2014: 6 · 2013: 1 · 2012: 5
- FWCI
- 10.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medical Care (publishedVersion)
- PubMed (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- 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 › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- EQ-5D-5L, EQ-5D-3L, health status classification, Rasch model, health status measurement, cancer patients, value sets
- MeSH terms
- Algorithms, Female, United Kingdom, Humans, Male, Models, Psychological, Neoplasms, Netherlands, Psychometrics, Surveys and Questionnaires, Regression Analysis, Severity of Illness Index, Reproducibility of Results, Sickness Impact Profile
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