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Statistical implications of utility weighted and equally weighted HRQL measures: an empirical study

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  • Caitlyn T. Wilke
  • A. Simon Pickard
  • Surrey M. Walton
  • Joern Moock
  • Thomas Kohlmann
  • Todd A. Lee

Abstract

The utility‐based approach to health measurement, exemplified by EQ‐5D and Health Utilities Index (HUI), has been challenged on a theoretical basis, but the statistical implications of such an approach have received little attention. To empirically investigate this issue, psychometric properties and statistical efficiency of the EQ‐5D and HUI Mark 3 (HUI3) classifiers were compared when scored using preference weighted (WPS) and equally weighted summary scores using two longitudinal datasets (nstroke=124; nrehabilitation=264). Test–retest reliability, construct validity, responsiveness, and relative efficiency (RE) ratios (with bootstrapped 95% confidence intervals) were examined. WPS had slightly lower test–retest reliability, particularly for EQ‐5D (intraclass correlation coefficient=0.61 vs 0.72). For known‐groups comparisons, WPS had greater inferential power for both EQ‐5D and HUI3 (RE>1). No significant differences in sensitivity to change were observed for EQ‐5D [0.71 (95% CI: 0.29,1.33)≤RE≤0.96(95% CI: 0.69,1.32)] or HUI3 [0.97 (95% CI: 0.89,1.03)≤RE≤1.23 (95% CI: 0.98,1.72)]. Implications of weighted scoring will depend on whether the weights are greater or less than equal weights where patients fall along the health state classifier continuum. Because utility weights can affect the statistical properties and significance of results, the summary score selected should be appropriate to the purpose of the study and population of interest. Copyright © 2009 John Wiley & Sons, Ltd.

Suggested Citation

  • Caitlyn T. Wilke & A. Simon Pickard & Surrey M. Walton & Joern Moock & Thomas Kohlmann & Todd A. Lee, 2010. "Statistical implications of utility weighted and equally weighted HRQL measures: an empirical study," Health Economics, John Wiley & Sons, Ltd., vol. 19(1), pages 101-110, January.
    • Handle: RePEc:wly:hlthec:v:19:y:2010:i:1:p:101-110
    DOI: 10.1002/hec.1467
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    References listed on IDEAS

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    1. Brooks, Richard AU -, 1996. "EuroQol: the current state of play," Health Policy, Elsevier, vol. 37(1), pages 53-72, July.
    2. George W. Torrance & Michael H. Boyle & Sargent P. Horwood, 1982. "Application of Multi-Attribute Utility Theory to Measure Social Preferences for Health States," Operations Research, INFORMS, vol. 30(6), pages 1043-1069, December.
    3. Jenkinson, Crispin, 1991. "Why are we weighting? A critical examination of the use of item weights in a health status measure," Social Science & Medicine, Elsevier, vol. 32(12), pages 1413-1416, January.
    4. David Parkin & Nigel Rice & Nancy Devlin, 2010. "Statistical Analysis of EQ-5D Profiles: Does the Use of Value Sets Bias Inference?," Medical Decision Making, , vol. 30(5), pages 556-565, September.
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    1. David Parkin & Nancy Devlin & Yan Feng, 2016. "What Determines the Shape of an EQ-5D Index Distribution?," Medical Decision Making, , vol. 36(8), pages 941-951, November.
    2. Ruixuan Jiang & Eleanor Pullenayegum & James W. Shaw & Axel Mühlbacher & Todd A. Lee & Surrey Walton & Thomas Kohlmann & Richard Norman & A. Simon Pickard, 2023. "Comparison of Preferences and Data Quality between Discrete Choice Experiments Conducted in Online and Face-to-Face Respondents," Medical Decision Making, , vol. 43(6), pages 667-679, August.

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