Evidence map›Paper›PMID 37347395›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2023

Understanding the measurement relationship between EQ-5D-5L, PROMIS-29 and PROPr.

Brendan J Mulhern, Tianxin Pan, Richard Norman, An Tran-Duy, Janel Hanmer, Rosalie Viney, Nancy J Devlin

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Convergence and divergence between PROMISHealth and quality of life outcomes · 2026
    Article
  2. Article
  3. Mapping and Linking between the EQ-5D-5L and the PROMIS Domains in the United States.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  4. 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
  5. Article
  6. Article
  7. 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

7 authors.

Brendan J MulhernCentre for Health Economics Research and Evaluation, University of Technology Sydney, Ultimo, Australia. Brendan.Mulhern@uts.edu.au.ORCID http://orcid.org/0000-0003-3656-8063
Tianxin PanHealth Economics Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Australia.
Richard NormanSchool of Population Health, Curtin University, Perth, Australia.
An Tran-DuyHealth Economics Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Australia.
Janel HanmerDepartment of General Internal Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Rosalie VineyCentre for Health Economics Research and Evaluation, University of Technology Sydney, Ultimo, Australia.
Nancy J DevlinHealth Economics Unit, Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMany generic patient-reported instruments are available for the measurement of health outcomes, including EQ-5D-5L, and the Patient-Reported Outcome Measurement Information System (PROMIS). Assessing their measurement characteristics informs users about the consistency between, and limits of, evidence produced. The aim was to assess the measurement relationship between the EQ-5D-5L descriptive system and value sets, the PROMIS-29 and PROPr (PROMIS value set).

methodsData were extracted from a cross-sectional survey administering measures of quality of life online in Australia. Descriptive analysis, agreement and construct validity assessment methods were used to compare instruments at the item, domain and value set level.

resultsIn total, 794 Australians completed the survey. Convergent validity analysis found that similar dimensions across instruments were highly correlated (> 0.50), but the PROMIS-29 assesses additional health concepts not explicitly covered by EQ-5D (sleep and fatigue). Known-group assessment found that EQ-5D-5L and PROPr were able to detect those with and without a condition (ES range 0.78-0.83) but PROPr could more precisely detect differing levels of self-reported health. Both instruments were sensitive to differences in levels of pain. DISCUSSION: There is some consistency in what the EQ-5D-5L, PROMIS-29 and PROPr measure. Differences between value set characteristics can be linked to differences what is measured and the valuation approaches used. This has implications for the use of each in assessing health outcomes, and the results can inform decisions about which instrument should be used in which context.

Indexed as

Patient Reported Outcome MeasuresQuality of LifeAustraliaCross-Sectional StudiesHealth StatusHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesEQ-5D-5LHealth-related quality of lifePROMISPsychometrics

Identifiers

PMID37347395
PMCPMC10522725

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.