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Journal article

Health-related quality of life in long COVID: mapping the condition-specific C19-YRSm measure onto the EQ-5D-5L

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 (R2 = 0.7). The mean difference between observed and mapped scores was < 0.10 for the range from 0 to 1 indicating good targeting for positive values of the EQ-5D-3L. The SRM for the mapped EQ-5D-3L was 0.37 compared to 0.17 for the observed utility scores, suggesting the mapped EQ-5D-3L is more responsive to change.

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.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.2147/prom.s490870

Authors

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Role:
Author
ORCID:
0000-0002-5750-7772
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Role:
Author
ORCID:
0000-0001-7035-3096
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Institution:
University of Oxford
Division:
MSD
Department:
Primary Care Health Sciences
Role:
Author
ORCID:
0000-0002-2860-7280
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Primary Care Health Sciences
Role:
Author
ORCID:
0000-0003-3121-6050

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Role:
Contributor


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Funder identifier:
https://ror.org/0187kwz08
Grant:
NIHR202402


Publisher:
Dove Press
Journal:
Patient Related Outcome Measures More from this journal
Volume:
2025
Issue:
16
Pages:
55-66
Publication date:
2025-01-25
Acceptance date:
2025-01-03
DOI:
EISSN:
1179-271X


Language:
English
Keywords:
Pubs id:
2081668
Local pid:
pubs:2081668
Deposit date:
2025-01-30
ARK identifier:

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