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A Comparison of PROPr and EQ-5D-5L Value Sets
Tianxin Pan1,2, Brendan Mulhern3, Rosalie Viney3
1Health Economics Unit, Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Carlton, VIC, 3053, Melbourne, Australia. tianxin.pan1@unimelb.edu.au.
Pharmacoeconomics
|November 17, 2021
Summary
The EQ-5D-5L and PROPr (Patient-Reported Outcomes Measurement Information System) value sets show considerable differences in utility values, dimension importance, and severity scoring. These discrepancies are crucial for healthcare decision-makers and clinical trialists to understand.
Area of Science:
- Health Economics and Outcomes Research
- Psychometrics and Patient-Reported Outcomes
Background:
- The EQ-5D-5L is a widely used international instrument for health utility measurement.
- PROMIS (Patient-Reported Outcomes Measurement Information System) is increasingly used, with its PROPr value set based on US population preferences.
Purpose of the Study:
- To compare the characteristics of EQ-5D-5L and PROPr value sets.
- To highlight potential implications of these differences for users in health economics and clinical research.
Main Methods:
- Compared US, Australian, and English EQ-5D-5L value sets with PROPr utilities derived from PROMIS-29 + 2.
- Examined theoretical utility characteristics, dimension importance rankings, and utility comparisons for comparable health states.
- Analyzed changes in utility values for adjacent health states across dimensions.
Main Results:
- Systematic differences observed: US EQ-5D-5L utilities range from -0.573 to 1, while PROPr ranges from -0.022 to 0.954.
- Pain is the most important dimension in US/English EQ-5D-5L, but one of the least important in PROPr.
- PROPr yields lower utilities for mild health states and higher utilities for severe health states compared to EQ-5D-5L.
Conclusions:
- Significant discrepancies exist between US EQ-5D-5L and PROPr utilities, despite both aiming to represent US public preferences.
- Awareness of these differences is critical for decision-makers and clinical trialists.
- Further research is needed to assess the impact of these value set differences in population and longitudinal studies.
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