Evidence map›Paper›PMID 38416366›Full record

ArticlePharmacoEconomics2024

Population Norms for the EQ-5D-5L, PROPr and SF-6D in Hungary.

Anna Nikl, Mathieu F Janssen, Balázs Jenei, Valentin Brodszky, Fanni Rencz

Abstract read
In one paragraph

Article in PharmacoEconomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Testing culturally relevant EQ-5D-5L bolt-ons for the Chinese general population: first quantitative phase of a mixed methods study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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  4. Identifying and developing culturally relevant EQ-5D-5L bolt-on items for Chinese population: qualitative phase of a mixed-methods study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  5. Population norms for the EQ-5D-5L for Hungary: comparison of online surveys and computer assisted personal interviews.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  6. 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
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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

5 authors.

Anna NiklDepartment of Health Policy, Corvinus University of Budapest, 8 Fővám tér, 1093, Budapest, Hungary.ORCID 0000-0003-3170-728X
Mathieu F JanssenSection Medical Psychology and Psychotherapy, Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0001-6602-6949
Balázs JeneiDepartment of Health Policy, Corvinus University of Budapest, 8 Fővám tér, 1093, Budapest, Hungary.ORCID 0000-0002-4947-2514
Valentin BrodszkyDepartment of Health Policy, Corvinus University of Budapest, 8 Fővám tér, 1093, Budapest, Hungary.ORCID 0000-0002-6095-2295
Fanni RenczDepartment of Health Policy, Corvinus University of Budapest, 8 Fővám tér, 1093, Budapest, Hungary. fanni.rencz@uni-corvinus.hu.ORCID 0000-0001-9674-620X

Funding

Hungarian Academy of Sciences MTA-PPD 462025János Bolyai Research Scholarship of the Hungarian Academy of Sciences BO/00304/21New National Excellence Program of the Ministry for Culture and Innovation ÚNKP-23-3-II-SE-17New National Excellence Program of the Ministry for Culture and Innovation ÚNKP-23-5-CORVINUS-5
6 · The paper itself

Abstract

objectivesThis study aimed to develop population norms for three preference-accompanied measures [EQ-5D-5L, Patient-Reported Outcomes Measurement Information System (PROMIS)-preference scoring system (PROPr) and Short-Form Six-Dimension (SF-6D)] in Hungary.

methodsIn November 2020, an online cross-sectional survey was conducted among a representative sample of the Hungarian adult general population (n = 1631). Respondents completed the Hungarian versions of the EQ-5D-5L, PROMIS-29+2 version 2.1 and 36-item Short Form Survey version 1 (SF-36v1). The association of utilities with sociodemographic and health-related characteristics of respondents was analysed using multivariate regressions.

resultsThe proportion of respondents reporting problems ranged from 8 to 44% (self-care to pain/discomfort) on the EQ-5D-5L, 39-94% (physical function to sleep) on PROPr and 38-87% (role limitations to vitality) on the SF-6D. Problems related to physical function, self-care, usual activities/role limitations and pain increased with age, while mental health problems decreased in all three measures. In almost all corresponding domains, respondents indicated the fewest problems on the EQ-5D-5L and the most problems on the SF-6D. The mean EQ-5D-5L, PROPr and SF-6D utilities were 0.900, 0.535 and 0.755, respectively. Female gender (PROPr, SF-6D), a lower level of education (EQ-5D-5L, PROPr), being unemployed or a disability pensioner (EQ-5D-5L), being underweight or obese (SF-6D), lack of physical exercise (all) and polypharmacy (all) were associated with significantly lower utilities. PROPr yielded the lowest and EQ-5D-5L the highest mean utilities in 28 of 30 chronic health conditions.

conclusionsThis study presents the first set of Hungarian population norms for the EQ-5D-5L, PROPr and SF-6D. Our findings can serve as reference values in clinical trials and observational studies and contribute to the monitoring of population health and the assessment of disease burden in Hungary.

Indexed as

Health StatusQuality of LifeAdolescentAdultAgedAge FactorsCross-Sectional StudiesFemaleHumansHungaryMaleMiddle AgedPatient Reported Outcome MeasuresSurveys and QuestionnairesYoung Adult

Identifiers

PMID38416366
PMCPMC11039522

What Socratic holds

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LicenceCC BY-NC
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 Socratic graph.