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Can multi-attribute utility instruments adequately account for subjective well-being?

Jeff Richardson1, Gang Chen2, Munir A Khan1

  • 1Centre for Health Economics, Monash Business School, Monash University, Clayton, Australia (JR, MAK, AI)

Medical Decision Making : an International Journal of the Society for Medical Decision Making
|January 28, 2015
PubMed
Summary

Multi-attribute utility instruments (MAUIs) often fail to capture subjective well-being (SWB) because their descriptive systems omit key health elements. Improving MAUI design can better account for SWB in health economic evaluations.

Keywords:
multiattribute utility instrument.subjective well-beingutility

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Area of Science:

  • Health Economics
  • Psychometrics
  • Quality of Life Research

Background:

  • Quality of life is integral to cost-utility analyses, using health state utilities.
  • Existing multi-attribute utility instruments (MAUIs) show poor correlation with subjective well-being (SWB).
  • This suggests MAUIs may not fully capture patient-experienced SWB.

Purpose of the Study:

  • To investigate if MAUI descriptive systems adequately include health elements crucial for SWB.
  • To explore the hypothesis that MAUI limitations in accounting for SWB stem from omissions in their descriptive systems.

Main Methods:

  • Analysis of survey data from 6 MAUIs across 7 disease areas.
  • Comparison of MAUI predictions with SWB of healthy individuals and patients.
  • Assessment of how well MAUI descriptive systems explain SWB variations.

Main Results:

  • EQ-5D-5L accounted for the least SWB, while AQoL-8D accounted for the most.
  • AQoL-8D occasionally overpredicted SWB loss in cases of hedonic adaptation.
  • Utility measures can largely account for SWB variation when MAUIs include relevant health elements.

Conclusions:

  • The omission of SWB-determining health elements in MAUI descriptive systems contributes to their limitations.
  • Enhancing MAUI descriptive systems to incorporate these elements is crucial for accurate economic evaluations.
  • SWB should be more comprehensively integrated into health utility assessments.