Evidence map›Paper›PMID 41128830›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2025

Differences in rating of health related quality of life on the EQ-5D-5 L between ethnic groups.

Juan Marcelo Virdis, Laura Anselmi, Matt Sutton

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Juan Marcelo VirdisHealth Organisation, Policy and Economics (HOPE) Research Group, Centre for Primary Care and Health Services Research (FBMH), University of Manchester, Oxford Rd, Manchester, M13 9PL, UK. juan.virdis@manchester.ac.uk.ORCID http://orcid.org/0000-0001-7118-9259
Laura AnselmiHealth Organisation, Policy and Economics (HOPE) Research Group, Centre for Primary Care and Health Services Research (FBMH), University of Manchester, Oxford Rd, Manchester, M13 9PL, UK.ORCID http://orcid.org/0000-0002-2499-7656
Matt SuttonHealth Organisation, Policy and Economics (HOPE) Research Group, Centre for Primary Care and Health Services Research (FBMH), University of Manchester, Oxford Rd, Manchester, M13 9PL, UK.ORCID http://orcid.org/0000-0002-6635-2127

Funding

National Institute for Health and Care Research (NIHR) Applied Research Collaboration Greater Manchester (ARCGM) National Institute for Health and Care Research (NIHR) Applied Research Collaboration Greater Manchester (ARCGM)
6 · The paper itself

Abstract

purposeTo examine whether ratings on each of the five dimensions of the EQ-5D-5L vary across ethnic groups after adjusting for health conditions and other relevant covariates.

methodsWe applied the Hierarchical Ordered Probit (HOPIT) model to the EQ-5D-5L responses of 2,642,805 participants in nine pooled cross-sectional waves of the General Practice Patient Survey in England. The model separated latent health, determined by health conditions, from reporting behaviour, which was assumed to be influenced by socio-demographic characteristics, recent healthcare use, and healthcare access.

resultsWe find systematic differences in rating behaviour between five ethnic groups. Across all five dimensions, respondents from White ethnic backgrounds were most likely to choose middle severity levels. Respondents from Asian and Black ethnic backgrounds were more likely than those from White backgrounds to report the less severe levels for Anxiety/Depression and Usual Activities. Respondents from Other ethnic backgrounds not classified within the four main categories were more likely to choose the lowest and highest severity levels for Anxiety/Depression.

conclusionOur results suggest important heterogeneity in self-rating of health and highlights the importance of adjusting for reporting heterogeneity in applications of this measure. Where such adjustments are not feasible, alternative approaches such as sensitivity analyses to test the impact of differential reporting should be considered.

Indexed as

EthnicityHealth StatusQuality of LifeAdolescentAdultAgedCross-Sectional StudiesEnglandFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultEQ-5D-5LEthnic inequalitiesHOPIT modelSelf-rated health

Identifiers

PMID41128830
PMCPMC12681471

What OpenQuestion holds

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LicenceCC BY
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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.