ArticlePharmacoEconomics2022
A Comparison of PROPr and EQ-5D-5L Value Sets.
Article in PharmacoEconomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Article
- The impact of ambient air pollution on health-related quality of life: a nationwide study in China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Changes in health-related quality of life and inequality in China: evidence from a nationwide repeated cross-sectional survey (2021-2023).Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Do the Age of Children and Parental Status Matter in Valuing the Child Health Utility 9D (CHU9D)?PharmacoEconomics · 2025Article
- Comparing EQ-5D-5L, PROPr, SF-6D and TTO utilities in patients with chronic skin diseases.The European journal of health economics : HEPAC : health economics in prevention and care · 2025Article
- Decomposition and comparative analysis of differences in anxiety between urban and rural Chinese adults: a national cross-sectional study.BMC public health · 2025Article
- Comparison of the EQ-5D-5L and the patient-reported outcomes measurement information system preference score (PROPr) in the United States.Journal of patient-reported outcomes · 2024Article
- #SharingHEOR: Developing Modern Media for Communication and Dissemination of Health Economics and Outcomes Research.Applied health economics and health policy · 2024Article
- Population Norms for the EQ-5D-5L, PROPr and SF-6D in Hungary.PharmacoEconomics · 2024Article
- The RETRIEVE Checklist for Studies Reporting the Elicitation of Stated Preferences for Child Health-Related Quality of Life.PharmacoEconomics · 2024Article
- An enhancement of the Genium™ microprocessor-controlled knee improves safety and different aspects of the perceived prosthetic experience for unilateral and bilateral users.Frontiers in rehabilitation sciences · 2024Article
- Assessing health-related quality of life among cancer survivors during systemic and radiation therapy in Bangladesh: a cancer-specific exploration.BMC cancer · 2023Article
- Decomposing income-related inequality in health-related quality of life in mainland China: a national cross-sectional study.BMJ global health · 2023Article
- Measurement properties of the EQ-5D-5L and PROPr in patients with spinal muscular atrophy.Health and quality of life outcomes · 2023Article
- Understanding the measurement relationship between EQ-5D-5L, PROMIS-29 and PROPr.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023Article
- Scale agreement, ceiling and floor effects, construct validity, and relative efficiency of the PROPr and EQ-5D-3L in low back pain patients.Health and quality of life outcomes · 2023Article
- QALYs: The Math Doesn't Work.Journal of health economics and outcomes research · 2023Article
- A head-to-head comparison of the EQ-5D-3L index scores derived from the two EQ-5D-3L value sets for China.Health and quality of life outcomes · 2022Article
- The C-Brace® microprocessor controlled stance and swing orthosis improves safety, mobility, and quality of life at one year: Interim results from a prospective registry.Journal of rehabilitation and assistive technologies engineeringArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe EQ-5D-5L and its value sets are widely used internationally. However, in the US and elsewhere, there is growing use of PROMIS, which has a value set (PROPr) based on the stated preferences of the US population. This paper aims to compare the characteristics of EQ-5D-5L and PROPr value sets and to highlight potential implications for users.
methodsUS, Australian and English value sets were used for EQ-5D-5L. PROPr utilities were calculated based on PROMIS-29 + 2. We examined, in each case, (i) the characteristics (e.g. range of values, number of unique values) and distribution of all possible 'theoretical' utilities; (ii) dimension/domain importance ranking by the utility of corner states (i.e. health states with the worst level in one domain and the best in all others); (iii) comparisons of utilities for health states hypothesised to be comparable in terms of severity across EQ-5D-5L descriptive systems and PROMIS-29 + 2 domain scores; (iv) the changes in values of adjacent states (i.e. a one-level change in one dimension for EQ-5D-5L and a four-point change in raw scores for PROMIS-29 + 2, with the other dimensions held constant) for dimensions hypothesised to overlap conceptually or be correlated between the two instruments.
resultsEQ-5D-5L and PROPr utilities differ systematically. First, the US EQ-5D-5L utilities range from - 0.573 to 1, whereas PROPr values for PROMIS-29 + 2 range from - 0.022 to 0.954. Second, in the US (and English) EQ-5D-5L value sets, pain is the most important dimension whereas in PROPr pain is one of the least important (apart from sleep disturbance). Third, classified based on severity across EQ-5D-5L descriptive systems and PROMIS-29 + 2 domain scores, PROPr has substantially lower values than EQ-5D-5L values for comparable 'mild' health states, but higher values for more 'severe' health states. Last, when one dimension is considered across its best to worst levels and all other dimensions are held constant at their best or moderate level, in EQ-5D-5L value sets, the greatest changes in utility occur between levels 3 and 4 (moderate and severe) problems; in PROPr that occurred between the most severe states and their descriptively adjacent health states.
conclusionThere are very considerable differences between US EQ-5D-5L and PROPr utilities, despite both in principle representing utility on the same scale anchored at 0 and 1 and both representing the preferences of the US general public. It is important for decision makers and clinical triallists to be aware of these differences. Further work is needed to assess the impact of these differences in value sets using population and patient data, and in longitudinal settings.
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