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- Title
Efficacy and Safety of Respiratory Telerehabilitation in Patients with Long COVID-19: A Systematic Review and Meta-Analysis.
- Authors
Calvache-Mateo, Andrés; Heredia-Ciuró, Alejandro; Martín-Núñez, Javier; Hernández-Hernández, Sofía; Reychler, Gregory; López-López, Laura; Valenza, Marie Carmen
- Abstract
The aim of this review was to identify, map, and synthesize the extent and nature of research activity on the use of telerehabilitation to support Long COVID-19 rehabilitation and examine the efficacy and safety of respiratory telerehabilitation in patients with Long COVID-19. A systematic review and meta-analysis of randomized controlled trials were performed. We included controlled trials that tested the effect of respiratory telerehabilitation interventions in patients with Long COVID-19 versus no intervention, usual care, placebo, or face-to-face intervention. The data were pooled, and a meta-analysis was completed for quality of life, dyspnea, lung function, anxiety and depression, respiratory muscle strength, functional capacity, and lower limb strength. Finally, 10 studies were included. The meta-analysis results show significant differences in favor of respiratory telerehabilitation in quality of life (p = 0.02), dyspnea (p < 0.00001), respiratory muscle strength (p < 0.001), functional capacity (p < 0.0001), and lower limb strength (p = 0.01) but not in lung function (p = 0.28) and anxiety and depression (p = 0.55). In addition, there were no statistically significant differences in adverse effects (p = 0.06) between the telerehabilitation and comparator groups. The results suggest that these interventions can improve quality of life, reduce dyspnea, and increase respiratory and lower extremity muscle strength as well as functional capacity in patients with Long COVID-19.
- Subjects
TELEREHABILITATION; ONLINE information services; MEDICAL databases; META-analysis; CONFIDENCE intervals; POST-acute COVID-19 syndrome; SYSTEMATIC reviews; PHYSICAL therapy; EFFECT sizes (Statistics); DESCRIPTIVE statistics; RESEARCH funding; MEDLINE; DATA analysis software
- Publication
Healthcare (2227-9032), 2023, Vol 11, Issue 18, p2519
- ISSN
2227-9032
- Publication type
Article
- DOI
10.3390/healthcare11182519