Evidence map›Paper›PMID 30115092›Full record

ArticlePopulation health metrics2018

Head-to-head comparison between the EQ-5D-5L and the EQ-5D-3L in general population health surveys.

Marc Martí-Pastor, Angels Pont, Mónica Ávila, Olatz Garin, Gemma Vilagut, Carlos G Forero, Yolanda Pardo, Ricard Tresserras, Antonia Medina-Bustos, Oriol Garcia-Codina and 4 more

Open access · goldAbstract readComparative StudyValidation Study
In one paragraph

Article in Population health metrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
11.2field-weighted citation impact, top 2% of its field
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Psychometric properties of the EQ-5D-5L: a systematic review of the literature.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Pooled it
  2. Trial
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  5. Psychometric properties comparison between EQ-5D-5L and EQ-5D-3L in the general Thai population.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Trial
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  7. Is EQ-5D-5L better than EQ-5D-3L? A comparison of descriptive systems and utility scores in patients with kidney chronic disease.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  8. Measuring health-related quality of life in multiple sclerosis: comparing the acceptability, validity and responsiveness of the EQ-5D-3L and MSIS-8D.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
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  13. Normative profile of the EQ-5D-5L dimensions, EQ-5D-5L index and EQ-VAS scores for the general Thai population.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  14. Population norms for the EQ-5D-3L and EQ-5D-5L in Romania.Health and quality of life outcomes · 2023
    Article
  15. Article
  16. Feasibility and validity of the EQ-5D-3L in the elderly Europeans: a secondary data analysis using SHARE(d) data.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  17. Article
  18. Comparison of EQ-5D-3L and 5L versions following operative fixation of closed ankle fractures.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  19. Article
  20. Comparing the measurement properties of the EQ-5D-5L and the EQ-5D-3L in hypertensive patients living in rural China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    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

14 authors at 6 institutions in 1 country.

Marc Martí-PastorIMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain.
Angels PontIMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain.
Mónica ÁvilaIMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain.
Olatz GarinIMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain. ogarin@imim.es.
Gemma VilagutIMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain.
Carlos G ForeroIMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain.
Yolanda PardoIMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain.
Ricard TresserrasUniversidad Pompeu Fabra, Barcelona, Spain.
Antonia Medina-BustosDirecció General de Planificació en Salut. Departament de Salut de la Generalitat de Catalunya, Barcelona, Spain.
Oriol Garcia-CodinaDirecció General de Planificació en Salut. Departament de Salut de la Generalitat de Catalunya, Barcelona, Spain.
Juan CabasésPublic University of Navarra, Pamplona, Spain.
Luis RajmilIMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain.
Jordi AlonsoIMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain.
Montse FerrerIMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain. mferrer@imim.es.ORCID 0000-0001-9867-7391
Universitat Pompeu Fabra · ESGeneralitat de Catalunya · ESUniversitat Autònoma de Barcelona · ESAgència de Qualitat i Avaluació Sanitàries de Catalunya · ESHospital Del Mar · ESUniversidad Publica de Navarra · ES

Funding

DIUE of Generalitat de Catalunya 2014 SGR 748Instituto de Salud Carlos III FEDER PI12/00772ISCIII FIS Río Hortega CM15/00167
6 · The paper itself

Abstract

backgroundThe EQ-5D has been frequently used in national health surveys. This study is a head-to-head comparison to assess how expanding the number of levels from three (EQ-5D-3L) to five in the new EQ-5D-5L version has improved its distribution, discriminatory power, and validity in the general population.

methodsA representative sample (N = 7554) from the Catalan Health Interview Survey 2011-2012, aged ≥18, answered both EQ-5D versions, and we evaluated the response redistribution and inconsistencies between them. To assess validity of this redistribution, we calculated the mean of the Visual Analogue Scale (VAS), which measures perceived health. The discriminatory power was examined with Shannon Indices, calculated for each dimension separately. Spanish preference value sets were applied to obtain utility indices, examining their distribution with statistics of central tendency and dispersion. We estimated the proportion of individuals reporting the best health state in EQ-5D-5L and EQ-5D-3L within groups of specific chronic conditions and their VAS mean.

resultsA very small reduction in the percentage of individuals with the best health state was observed, from 61.8% in EQ-5D-3L to 60.8% in EQ-5D-5L. In contrast, a large proportion of individuals reporting extreme problems in the 3 L version moved to severe problems (level 4) in the 5 L version, particularly for pain/discomfort (75.5%) and anxiety/depression (66.4%). The average proportion of inconsistencies was 0.9%. The pattern of the perceived health VAS mean confirmed the hypothesis established a priori, supporting the validity of the observed redistribution. Shannon index showed that absolute informativity was higher in the 5 L version for all dimensions. The means (SD) of the Spanish EQ-5D-3L and EQ-5D-5L indices were 0.87 (0.25) and 0.89 (0.22). The proportion of individuals with the best health state within each specific chronic condition was very similar, regardless of the EQ-5D version (≤ 30% in half of the 28 chronic conditions).

conclusionAlthough the proportion of individuals with the best possible health state is still very high, our findings support that the increase of levels provided by the EQ-5D-5L contributed to the validity and discriminatory power of this new version to measure health in general population, as in the national health surveys.

Indexed as

Chronic DiseaseHealth StatusHealth SurveysPopulation HealthAdolescentAdultAgedAged, 80 and overAnxietyDepressionFemaleHumansLanguageMaleMiddle AgedPainHealth surveyPerceived healthQuality of lifeValidity and reliability

Identifiers

PMID30115092
PMCPMC6097421
OpenAlexW2887436523

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.