Evidence map›Paper›PMID 39882499›Full record

ArticlePatient related outcome measures2025

Health-Related Quality of Life in Long COVID: Mapping the Condition-Specific C19-YRSm Measure Onto the EQ-5D-5L.

Adam B Smith, Darren C Greenwood, Paul Williams, Joseph Kwon, Stavros Petrou, Mike Horton, Thomas Osborne, Ruairidh Milne, Manoj Sivan, LOCOMOTION Consortium

Abstract read
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Article in Patient related outcome measures, 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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2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Adam B SmithLeeds Institute for Cardiovascular and Metabolic Medicine, School of Medicine, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-5750-7772
Darren C GreenwoodLeeds Institute for Cardiovascular and Metabolic Medicine, School of Medicine, University of Leeds, Leeds, United Kingdom.ORCID 0000-0001-7035-3096
Paul WilliamsCOVID Assessment and Rehabilitation Service, Hertfordshire Community NHS Trust, Welwyn Garden City, UK.
Joseph KwonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-2860-7280
Stavros PetrouNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Mike HortonAcademic Department of Rehabilitation Medicine, Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.ORCID 0000-0002-6675-7335
Thomas OsborneAcademic Department of Rehabilitation Medicine, Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Ruairidh MilnePerson with Long COVID; Public Health, University of Southampton, Southampton, UK.
Manoj SivanAcademic Department of Rehabilitation Medicine, Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.ORCID 0000-0002-0334-2968
LOCOMOTION Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Long COVID (LC) is a clinical syndrome with persistent, fluctuating symptoms subsequent to COVID-19 infection. LC has significant detrimental effects on health-related quality of life (HRQoL), activities of daily living (ADL), and work productivity. Condition-specific patient-reported outcome measures (PROMs), such as the modified COVID-19 Yorkshire Rehabilitation Scale (C19-YRSm) do not provide the health utility data required for cost-utility analyses of LC interventions. The aim of this study was to derive a mapping algorithm for the C19-YRSm to enable health utilities to be generated from this PROM. Methods: Data were collected from a large study evaluating LC services in the UK. A total of 1434 people with LC had completed both the C19-YRSm and the EQ-5D. Correlation and linear regression analyses were applied to determine items from the C19-YRSm and covariates for inclusion in the algorithm. Model fit, mean differences across the range of EQ-5D-3L utility scores, and Bland-Altman plots were evaluated. Responsiveness (standardised response mean; SRM) of the mapped utilities was investigated on a subset of participants with repeat assessments. Results: There was a strong level of association between 8 items and one domain on the C19-YRSm with the EQ-5D single-item dimensions. Model fit was good (R Conclusion: A simple, responsive, and robust mapping algorithm was developed to generate enable EQ-5D-3L health utilities from the C19-YRSm. This will facilitate economic evaluations of LC interventions, treatment, and management, as well as further helping to describe and characterise patients with LC irrespective of any treatment and interventions.

Indexed as

C19-YRSmEQ-5D-5Lhealth utilitiesmappingPost-COVID Syndrome

Identifiers

PMID39882499
PMCPMC11776923

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