Journal of Clinical Epidemiology
Volume 52, Issue 4 , Pages 293-301, April 1999

The Effect of Adding a Cognitive Dimension to the EuroQol Multiattribute Health-Status Classification System

  • Paul F.M. Krabbe

      Affiliations

    • P. F. M. Krabbe is currently at the Department of Medical Technology Assessment, Faculty of Medical Science, University of Nijmegen, The Netherlands.
    • Department of Public Health, Faculty of Medicine, Erasmus University, Rotterdam, The Netherlands
    • Corresponding Author InformationAddress correspondence to: P. F. M. Krabbe, Department of Medical Technology Assessment, Faculty of Medical Sciences, University of Nijmegen, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
  • ,
  • Marlies E.A. Stouthard

      Affiliations

    • Institute of Social Medicine, University of Amsterdam, Academic Medical Centre, Amsterdam, The Netherlands
  • ,
  • Marie-Louise Essink-Bot

      Affiliations

    • Department of Public Health, Faculty of Medicine, Erasmus University, Rotterdam, The Netherlands
  • ,
  • Gouke J. Bonsel

      Affiliations

    • Department of Clinical Epidemiology and Biostatistics, Academic Medical Centre, Amsterdam, The Netherlands

Accepted 3 November 1998.

Abstract 

A methodological study was conducted to examine the effect of extending a frequently used simple multiattribute health-status classification system by adding a cognitive dimension. The EQ-5D questionnaire is a generic instrument to value health, developed by the EuroQol Group. The EQ-5D defines health according to five dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. We defined 18 different health states according to the standard EQ-5D classification. A second set of health states was constructed similar to the first, except for the addition of a cognitive dimension (EQ-5D+C). Valuations of both sets of health states were statistically analyzed to detect the effect of the additional dimension. The cognitive dimension generated systematically different values compared with the standard EQ-5D version, whereas the content validity improved. Both systems evoked equally reliable values. Analyses showed that a simple additive model to predict summary values for health states was not optimal for both systems. Although there is a current lack of consensus regarding the domains that are selected to represent health status, this study has shown the importance of considering the inclusion of a cognitive domain.

Keywords:  Multiattribute health-status classification systems, cognitive dimension, validity, reliability, methodology, EuroQol

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PII: S0895-4356(98)00163-2

Journal of Clinical Epidemiology
Volume 52, Issue 4 , Pages 293-301, April 1999