• Medical care · Feb 2002

    Multiattribute and single-attribute utility functions for the health utilities index mark 3 system.

    • David Feeny, William Furlong, George W Torrance, Charles H Goldsmith, Zenglong Zhu, Sonja DePauw, Margaret Denton, and Michael Boyle.
    • Institute of Health Economics; Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada. dfeeny@pharmarcy.ualberta.ca
    • Med Care. 2002 Feb 1; 40 (2): 113-28.

    BackgroundThe Health Utilities Index Mark 3 (HUI3) is a generic multiattribute preference-based measure of health status and health-related quality of life that is widely used as an outcome measure in clinical studies, in population health surveys, in the estimation of quality-adjusted life years, and in economic evaluations. HUI3 consists of eight attributes (or dimensions) of health status: vision, hearing, speech, ambulation, dexterity, emotion, cognition, and pain with 5 or 6 levels per attribute, varying from highly impaired to normal.ObjectivesThe objectives are to present a multiattribute utility function and eight single-attribute utility functions for the HUI3 system based on community preferences.Study DesignTwo preference surveys were conducted. One, the modeling survey, collected preference scores for the estimation of the utility functions. The other, the direct survey, provided independent scores to assess the predictive validity of the utility functions.MeasuresPreference measures included value scores obtained on the Feeling Thermometer and standard gamble utility scores obtained using the Chance Board.RespondentsA random sample of the general population (> or =16 years of age) in Hamilton, Ontario, Canada.ResultsEstimates were obtained for eight single-attribute utility functions and an overall multiattribute utility function. The intraclass correlation coefficient between directly measured utility scores and scores generated by the multiattribute function for 73 health states was 0.88.ConclusionsThe HUI3 scoring function has strong theoretical and empirical foundations. It performs well in predicting directly measured scores. The HUI3 system provides a practical way to obtain utility scores based on community preferences.

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