Cited by 66Health Systems, Economic Evaluations, Quality of LifeEconomic and Environmental ValuationPsychometric Methodologies and Testing

Evaluating Equivalency Between Response Systems: Application of the Rasch Model to a 3-Level and 5-Level EQ-5D

Pickard, A Simon, Kohlmann, Thomas, Janssen, Mathieu F., Bonsel, Gouke, Rosenbloom, Sarah, Cella, David·2007·Medical Care

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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Crossref · 10.1097/mlr.0b013e31805371aa

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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].”

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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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