Psychometric analysis of the modified COVID-19 Yorkshire Rehabilitation Scale (C19-YRSm) in a prospective multicentre study.

IF 3.6 3区 医学 Q1 RESPIRATORY SYSTEM BMJ Open Respiratory Research Pub Date : 2024-05-09 DOI:10.1136/bmjresp-2023-002271
Adam Smith, Darren Greenwood, Mike Horton, Thomas Osborne, Madeline Goodwin, Román Rocha Lawrence, Darren Winch, Paul Williams, Ruairidh Milne, Manoj Sivan
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Abstract

Background: Long COVID (LC) is a novel multisystem clinical syndrome affecting millions of individuals worldwide. The modified COVID-19 Yorkshire Rehabilitation Scale (C19-YRSm) is a condition-specific patient-reported outcome measure designed for assessment and monitoring of people with LC.

Objectives: To evaluate the psychometric properties of the C19-YRSm in a prospective sample of people with LC.

Methods: 1314 patients attending 10 UK specialist LC clinics completed C19-YRSm and EuroQol 5D-5L (EQ-5D-5L) longitudinally. Scale characteristics were derived for C19-YRSm subscales (Symptom Severity (SS), Functional Disability (FD) and Overall Health (OH)) and internal consistency (Cronbach's alpha). Convergent validity was assessed using the Functional Assessment of Chronic Illness Therapy (FACIT)-Fatigue Scale. Known groups validity was assessed for the Other Symptoms subscale as tertiles, as well as by hospitalisation and intensive care admission. Responsiveness and test-retest reliability was evaluated for C19-YRSm subscales and EQ-5D-5L. The minimal important difference (MID) and minimal clinically important difference (MCID) were estimated. Confirmatory factor analysis was applied to determine the instrument's two-factor structure.

Results: C19-YRSm demonstrated good scale characteristic properties. Item-total correlations were between 0.37 and 0.65 (for SS and FD), with good internal reliability (Cronbach's alphas>0.8). Item correlations between subscales ranged between 0.46 and 0.72. Convergent validity with FACIT was good (-0.46 to -0.62). The three subscales discriminated between different levels of symptom burden (p<0.001) and between patients admitted to hospital and intensive care. There was moderate responsiveness for the three subscales ranging from 0.22 (OH) to 0.50 (SS) which was greater than for the EQ-5D-5L. Test-retest reliability was good for both SS 0.86 and FD 0.78. MID was 2 for SS, 2 for FD and 1 for OH; MCID was 4 for both the SS and FD. The factor analysis supported the two-factor SS and FD structure.

Conclusions: The C19-YRSm is a condition-specific, reliable, valid and responsive patient-reported outcome measure for LC.

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在一项前瞻性多中心研究中对修改后的 COVID-19 约克郡康复量表(C19-YRSm)进行心理计量分析。
背景:长COVID(LC)是一种新型多系统临床综合征,影响着全球数百万人。修改后的 COVID-19 约克郡康复量表(C19-YRSm)是一种针对特定病情的患者报告结果测量方法,旨在对 LC 患者进行评估和监测:在 LC 患者的前瞻性样本中评估 C19-YRSm 的心理测量特性。方法:1314 名患者在英国 10 家 LC 专科诊所就诊,完成 C19-YRSm 和 EuroQol 5D-5L (EQ-5D-5L) 的纵向测量。得出了 C19-YRSm 子量表(症状严重程度 (SS)、功能障碍 (FD) 和整体健康 (OH))的量表特征和内部一致性(Cronbach's alpha)。使用慢性疾病治疗功能评估(FACIT)-疲劳量表评估了收敛效度。对其他症状子量表的已知组别有效性进行了三等分评估,并按住院和重症监护入院情况进行了评估。对 C19-YRSm 分量表和 EQ-5D-5L 进行了响应性和重复测试可靠性评估。估算了最小重要差异(MID)和最小临床重要差异(MCID)。结果表明,C19-YRSm 显示出了较好的一致性:结果:C19-YRSm显示出良好的量表特征特性。项目-总相关在 0.37 和 0.65 之间(SS 和 FD),具有良好的内部信度(Cronbach's alphas>0.8)。各分量表之间的项目相关性介于 0.46 和 0.72 之间。与 FACIT 的收敛效度良好(-0.46 至 -0.62)。三个分量表可以区分不同程度的症状负担(p 结论:C19-YRSm是一种针对LC病情的、可靠、有效且反应迅速的患者报告结果测量方法。
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来源期刊
BMJ Open Respiratory Research
BMJ Open Respiratory Research RESPIRATORY SYSTEM-
CiteScore
6.60
自引率
2.40%
发文量
95
审稿时长
12 weeks
期刊介绍: BMJ Open Respiratory Research is a peer-reviewed, open access journal publishing respiratory and critical care medicine. It is the sister journal to Thorax and co-owned by the British Thoracic Society and BMJ. The journal focuses on robustness of methodology and scientific rigour with less emphasis on novelty or perceived impact. BMJ Open Respiratory Research operates a rapid review process, with continuous publication online, ensuring timely, up-to-date research is available worldwide. The journal publishes review articles and all research study types: Basic science including laboratory based experiments and animal models, Pilot studies or proof of concept, Observational studies, Study protocols, Registries, Clinical trials from phase I to multicentre randomised clinical trials, Systematic reviews and meta-analyses.
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