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Quality Control Process for EQ-5D-5L Valuation Studies.

Juan M Ramos-Goñi1, Mark Oppe1, Bernhard Slaap1

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Summary

A new cyclic quality control (QC) process for the EuroQol five-dimensional questionnaire (EQ-5D-5L) significantly improved data quality and interviewer compliance in valuation studies. This process reduced protocol violations and inconsistent responses in Spain and the Netherlands.

Keywords:
economichealth status indexlife valuationquality controlquality of life

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Area of Science:

  • Health Economics
  • Psychometrics
  • Survey Methodology

Background:

  • The EuroQol five-dimensional questionnaire (EQ-5D-5L) values are crucial for health economics but were previously affected by data quality issues and interviewer variability.
  • The EuroQol Group developed a cyclic quality control (QC) process to mitigate these data quality concerns in EQ-5D-5L valuation studies.

Purpose of the Study:

  • To detail the cyclic quality control (QC) process implemented for EQ-5D-5L valuation studies.
  • To evaluate the impact of this QC process on improving data quality and interviewer performance.

Main Methods:

  • A novel QC tool was utilized to monitor protocol compliance, interviewer effects, and health state values.
  • The QC process involved evaluating interviewer performance against quality standards and providing feedback for improvement.
  • Data quality was assessed by comparing protocol violations, inter-interviewer variability, respondent consistency, and value clustering in studies with and without the QC process in Spain and the Netherlands.

Main Results:

  • Protocol violations decreased substantially: from 87% to 5% in Spain and 20% to 8% in the Netherlands.
  • Interviewer performance became more homogeneous, and the proportion of inconsistent respondents reduced by over 23% in both countries.
  • Composite time trade-off values exhibited less clustering in studies employing the QC process.

Conclusions:

  • Implementing a rigorous cyclic quality control (QC) process is effective in enhancing interviewer protocol compliance.
  • The QC process demonstrably improves the overall data quality of EQ-5D-5L valuation studies.