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Tran VT, Riveros C, Clepier B, Desvarieux M, Collet C, Yordanov Y, Ravaud P. Development and validation of the long covid symptom and impact tools, a set of patient-reported instruments constructed from patients' lived experience. Clin Infect Dis 2021; 74:278-287. [PMID: 33912905 PMCID: PMC8135558 DOI: 10.1093/cid/ciab352] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Indexed: 01/07/2023] Open
Abstract
Objectives To develop and validate patient-reported instruments, based on patients' lived experiences, for monitoring the symptoms and impact of long covid. Design The long covid Symptom and Impact Tools (ST and IT) were constructed from the answers to a survey with open-ended questions to 492 patients with long COVID. Validation of the tools involved adult patients with suspected or confirmed COVID-19 and symptoms extending over three weeks after onset. Construct validity was assessed by examining the relations of the ST and IT scores with health related quality of life (EQ-5D-5L), function (PCFS, post-COVID functional scale), and perceived health (MYMOP2). Reliability was determined by a test-retest. The "patient acceptable symptomatic state" (PASS) was determined by the percentile method. Results Validation involved 1022 participants (55% with confirmed COVID-19, 79% female, and 12.5% hospitalized for COVID-19). The long COVID ST and IT scores were strongly correlated with the EQ-5D-5L (rs = -0.45 and rs = -0.59 respectively), the PCFS (rs = -0.39 and rs = -0.55), and the MYMOP2 (rs = -0.40 and rs = -0.59). Reproducibility was excellent with an interclass correlation coefficient of 0.83 (95% confidence interval 0.80 to 0.86) for the ST score and 0.84 (0.80 to 0.87) for the IT score. In total, 793 (77.5%) patients reported an unacceptable symptomatic state, thereby setting the PASS for the long covid IT score at 30 (28 to 33). Conclusions The long covid ST and IT tools, constructed from patients’ lived experiences, provide the first validated and reliable instruments for monitoring the symptoms and impact of long covid.
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Affiliation(s)
- Viet-Thi Tran
- Université de Paris, CRESS, INSERM, INRA, F-75004 Paris, France.,Centre d'Epidémiologie Clinique, Hôpital Hôtel-Dieu, AP-HP, 75004 Paris, France
| | - Caroline Riveros
- Université de Paris, CRESS, INSERM, INRA, F-75004 Paris, France.,Centre d'Epidémiologie Clinique, Hôpital Hôtel-Dieu, AP-HP, 75004 Paris, France
| | | | - Moïse Desvarieux
- Université de Paris, CRESS, INSERM, INRA, F-75004 Paris, France.,Department of Epidemiology, Columbia University Mailman School of Public Health, 22 W 168th St, New York, NY, USA
| | | | - Youri Yordanov
- Service d'Accueil des Urgences, Hôpital Saint Antoine, AP-HP, Sorbonne Université, Paris, France.,INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, UMR-S 1136, Paris, France
| | - Philippe Ravaud
- Université de Paris, CRESS, INSERM, INRA, F-75004 Paris, France.,Centre d'Epidémiologie Clinique, Hôpital Hôtel-Dieu, AP-HP, 75004 Paris, France.,Department of Epidemiology, Columbia University Mailman School of Public Health, 22 W 168th St, New York, NY, USA
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