Evidence map›Paper›PMID 34786591›Full record

ArticlePharmacoEconomics2022

A Comparison of PROPr and EQ-5D-5L Value Sets.

Tianxin Pan, Brendan Mulhern, Rosalie Viney, Richard Norman, Janel Hanmer, Nancy Devlin

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. 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 · 2025
    Article
  3. 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 · 2025
    Article
  4. Article
  5. 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 · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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 · 2023
    Article
  16. Article
  17. QALYs: The Math Doesn't Work.Journal of health economics and outcomes research · 2023
    Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tianxin PanHealth 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.ORCID 0000-0002-2243-8818
Brendan MulhernCentre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, NSW, Australia.
Rosalie VineyCentre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, NSW, Australia.
Richard NormanSchool of Population Health, Curtin University, Perth, WA, Australia.
Janel HanmerDepartment of General Internal Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Nancy DevlinHealth 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Health StatusQuality of LifeAustraliaHumansSurveys and Questionnaires

Identifiers

PMID34786591
PMCPMC8866274

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.