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Related Experiment Video

Updated: Jul 3, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

How consistent are health utility values?

Pedro L Ferreira1, Lara N Ferreira, Luis N Pereira

  • 1Faculty of Economics, University of Coimbra, Coimbra, Portugal. pedrof@fe.uc.pt

Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation
|August 9, 2008
PubMed
Summary
This summary is machine-generated.

This study compared the SF-6D and EQ-5D instruments for measuring health-related quality of life in cataract patients. While agreement was high, differences in valuation methods and scoring algorithms were noted, suggesting potential revisions.

Related Experiment Videos

Last Updated: Jul 3, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Area of Science:

  • Health Economics
  • Patient-Reported Outcomes
  • Ophthalmology

Background:

  • Preference-based generic instruments are increasingly used to measure health-related quality of life (HRQoL).
  • Discrepancies exist between these instruments regarding utility results.
  • Cataract patients represent a key population for HRQoL assessment.

Purpose of the Study:

  • To compare the SF-6D and EQ-5D instruments in cataract patients.
  • To explain the discrepancies observed between SF-6D and EQ-5D utility values.
  • To identify potential areas for instrument improvement.

Main Methods:

  • Agreement between SF-6D and EQ-5D health state classifications was assessed using correlation coefficients.
  • Correspondence analysis examined agreement among descriptive systems and dimension level similarities.
  • Cluster analysis grouped SF-6D and EQ-5D levels into homogeneous categories.

Main Results:

  • SF-6D showed evidence of floor effects, while EQ-5D exhibited ceiling effects.
  • SF-6D utility values were generally higher than EQ-5D values.
  • High agreement was observed between similar dimensions, but valuation methods and scoring algorithms caused key differences.

Conclusions:

  • SF-6D and EQ-5D demonstrate high agreement in cataract patients, but systematic differences exist.
  • Discrepancies are attributed to distinct valuation methods and scoring algorithms.
  • Revisions to the descriptive systems or scoring algorithms of SF-6D or EQ-5D may be warranted.