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

IF 1.8 Q3 HEALTH CARE SCIENCES & SERVICES
Patient Related Outcome Measures Pub Date : 2025-01-25 eCollection Date: 2025-01-01 DOI:10.2147/PROM.S490870
Adam B Smith, Darren C Greenwood, Paul Williams, Joseph Kwon, Stavros Petrou, Mike Horton, Thomas Osborne, Ruairidh Milne, Manoj Sivan
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引用次数: 0

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.

长期COVID与健康相关的生活质量:将特定条件的C19-YRSm测量映射到EQ-5D-5L。
背景:长冠肺炎(LC)是COVID-19感染后症状持续波动的临床综合征。LC对健康相关生活质量(HRQoL)、日常生活活动(ADL)和工作效率有显著的不利影响。特定病情的患者报告结果测量(PROMs),如修改的COVID-19约克郡康复量表(C19-YRSm),不能提供LC干预措施成本-效用分析所需的健康效用数据。本研究的目的是为C19-YRSm导出一种映射算法,以便从该PROM生成健康实用程序。方法:数据收集自一个大型研究评估LC服务在英国。总共1434名LC患者完成了C19-YRSm和EQ-5D。应用相关和线性回归分析确定C19-YRSm中的项目和协变量纳入算法。对模型拟合、EQ-5D-3L效用评分范围内的平均差异和Bland-Altman图进行了评估。响应性(标准化响应平均值;SRM)对一部分参与者进行了重复评估。结果:C19-YRSm上的8个项目和1个领域与EQ-5D单项维度存在较强的相关性。模型拟合良好(R2 = 0.7)。结论:开发了一种简单、响应性强、鲁棒的映射算法,可从C19-YRSm生成启用EQ-5D-3L健康实用程序。这将有助于对LC干预、治疗和管理进行经济评估,并进一步帮助描述和描述LC患者,无论采取何种治疗和干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Patient Related Outcome Measures
Patient Related Outcome Measures HEALTH CARE SCIENCES & SERVICES-
自引率
4.80%
发文量
27
审稿时长
16 weeks
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