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Response-Scale Heterogeneity in the EQ-5D.

Rachel J Knott1, Nicole Black1, Bruce Hollingsworth2

  • 1Centre for Health Economics, Monash Business School, Monash University, Melbourne, Australia.

Health Economics
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PubMed
Summary

Response-scale heterogeneity impacts the EQ-5D instrument. This study explores how differing interpretations of response scales affect health assessments and preference elicitation, offering solutions for researchers.

Keywords:
EQ-5Danchoring vignettesdifferential item functioningmulti-attribute utility instrumentspreference heterogeneityreporting heterogeneityresponse-scale heterogeneity

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Area of Science:

  • Health Economics
  • Psychometrics
  • Patient-Reported Outcomes

Background:

  • The EQ-5D is a widely used instrument for measuring health status and quality of life.
  • Response-scale heterogeneity, where individuals use scales differently, is a known issue in self-reported measures.
  • This heterogeneity is often overlooked in the context of the EQ-5D.

Purpose of the Study:

  • To explore two types of response-scale heterogeneity impacting the EQ-5D.
  • To investigate implications for EQ-5D use in health assessment and quality of life research.
  • To identify problematic scenarios and propose solutions for response-scale heterogeneity.

Main Methods:

  • Conceptual analysis of response-scale heterogeneity in self-assessment and preference elicitation.
  • Review of existing literature on heterogeneity in health measures and the EQ-5D.
  • Exploration of potential impacts and identification of mitigation strategies.

Main Results:

  • Two forms of response-scale heterogeneity are identified: in reporting and in preference elicitation.
  • Heterogeneity in reporting involves systematic differences in scale use for self-assessments.
  • Heterogeneity in preference elicitation involves varied interpretations of EQ-5D levels during valuation.

Conclusions:

  • Response-scale heterogeneity poses challenges for the validity and reliability of EQ-5D data.
  • Understanding and addressing this heterogeneity is crucial for accurate health status measurement.
  • Researchers should consider these issues to improve the application of the EQ-5D in various studies.