The classification systems of the EQ-5D, the HUI II and the SF-6D: what do they have in common?
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EQ-5D, HUI II and SF-6D often produce very different valuations for the same health state. This paper aims at clarifying to what extent this might be caused by differences between the multi-attribute classification systems belonging to these instruments.
Subjects were 264 patients of rehabilitation clinics in Mecklenburg-Western Pomerania (44.3% female; mean age 49.1) who completed the EQ-5D, the HUI II and the SF-36 (the basis of the SF-6D). After scaling with principal component analyses for categorical data, each attribute of each classification system was regressed on the classification systems of the other two instruments, and all attributes together were subjected to ordinary principal component analysis with varimax rotation.
Adjusted multiple R 2 for regression analyses ranged from 0.01 to 0.57. The HUI II attribute ‘sensation’ and the SF-6D attribute ‘role limitation’ are virtually unrelated to the remainder. All other attributes of all three instruments can be predicted by each other. EQ-5D and HUI II focus distinctly more on physical functioning than SF-6D.
Although all three classification systems have a lot in common, they differ so much that EQ-5D, HUI II and SF-6D would produce different valuations even if these valuations were determined according to the same principle.
KeywordsQuality of life Measurement Classification Health
Euro-Qol 5 Dimensions
Health-Related Quality of Life
Health Utility Index
- HUI II
Health Utility Index, Mark II
- HUI III
Health Utility Index, Mark III
Principal Component Analysis for Categorical Data
Principal Component Analysis for Categorical Data
Adjusted squared multiple correlation coefficient
Standardised estimated quantification
Standardised estimated quantifications
Short Form 36 items
Short Form 6 Dimensions
Statistical Package for the Social Sciences
- SPSS 15.0
Statistical Package for the Social Sciences, Version 15.0
This project was funded by a grant (no. 01GD0106) from the German Federal Ministry of Education and Research within the North German Network for Rehabilitation Research (NVRF). The analyses presented here were financially supported by an additional grant from the German Federal Ministry of Education and Research (grant no. 01ZZ0403). We would like to thank Kathrin Bezold for her support in performing the study, three anonymous reviewers for critically discussing a former version of the manuscript, and Peter Bereza for correcting our English.
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