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A "new and improved" EQ-5D valuation questionnaire? Results from a pilot study
Nancy Devlin1, Paul Hansen, Peter Herbison
1City Health Economics Centre, Department of Economics, City University, Northhampton Square, London EC1 VOHB, UK. n.j.devlin@city.ac.uk
Summary
A redesigned EQ-5D questionnaire improves health state valuation by using numerical scoring instead of visual analogue scales. This method reduces missing data and inconsistencies, offering a more reliable approach to patient-reported outcomes.
Area of Science:
- Health Economics
- Patient-Reported Outcomes
- Survey Methodology
Background:
- The standard EQ-5D questionnaire, widely used for health state valuation, faces challenges with missing data and logical inconsistencies.
- Specifically, the 'dead' health state often results in missing values, impacting data completeness.
Purpose of the Study:
- To redesign the EQ-5D questionnaire to address issues of missing values and logical inconsistencies.
- To evaluate the effectiveness of a new numerical scoring method compared to the traditional visual analogue scale.
Main Methods:
- A redesigned EQ-5D questionnaire was developed, incorporating numerical scoring for health states and a novel method for valuing the 'dead' state.
- A pilot study was conducted to compare the redesigned questionnaire against the standard version.
Main Results:
- The redesigned questionnaire yielded significantly fewer missing values, exclusions, and logical inconsistencies.
- Mean re-scaled health state values remained consistent with the original instrument.
- Numerical scoring proved more effective than visual analogue scaling for self-completed valuations.
Conclusions:
- The revised EQ-5D questionnaire design effectively mitigates common data quality issues.
- Numerical scoring represents a superior method for eliciting patient-reported health state valuations compared to visual analogue scales.