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Valuing the Q in QALYs: Does providing patients' ratings affect population values?
Robert P Murphy1, Christopher J Boyce1, Paul Dolan2
1Stirling Management School.
Providing general population raters with patient health state valuations significantly improves the accuracy of Quality-Adjusted Life Years (QALYs). Informed QALY assessments lead to more valid health benefit measurements for treatments.
Area of Science:
- Health Economics
- Health Outcomes Research
- Psychometrics
Background:
- Quality-Adjusted Life Years (QALYs) are crucial for assessing treatment benefits.
- QALYs rely on general population valuations of health states, weighted by quality of life impacts.
- Current QALY methods may lack validity due to uninformed population assessments.
Purpose of the Study:
- To enhance the validity of QALYs by improving population-based health state valuations.
- To investigate the impact of providing patient-specific health state ratings to general population raters.
Main Methods:
- 155 general population participants judged 3 health states.
- Participants were randomized into intervention (pre-valuation patient ratings) and control (post-valuation patient ratings) groups.
- Valuations were made on a 0-100 scale, with comparisons to expected patient ratings.
Main Results:
- The intervention group adjusted valuations towards patient ratings when they differed from expectations.
- When patient ratings were higher than expected, intervention group valuations were significantly higher.
- Conversely, lower-than-expected patient ratings led to lower intervention group valuations.
Conclusions:
- Informing the general population with patient health state valuations improves value elicitation.
- This method enhances the accuracy and validity of QALY assessments for policymakers.
- More informed QALYs lead to better measurement of treatment-related health benefits.
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