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Effects of pulmonary rehabilitation training based on WeChat App on pulmonary function, adverse mood and quality of life of COVID-19 patients: A protocol for systematic review and meta-analysis

Authors :
Zhiyu Xu
Lili Ding
Aihong Xu
Haiping Li
Zhongyan Zhao
Source :
Medicine
Publication Year :
2021

Abstract

Background: Coronavirus disease 2019 (COVID-19) as a fatal epidemic has swept across the world, especially in India where the epidemic situation is the most serious. For COVID-19 patients, pulmonary rehabilitation training plays a significant role. However, it is still a controversial issue regarding the efficacy of WeChat APP-based pulmonary rehabilitation training in improving lung function, quality of life and bad mood of COVID-19 patients. To clarify this issue, a meta-analysis was conducted in this present study, so as to provide a basis for rehabilitation guidance of COVID-19 patients. Methods: We systematically searched PubMed, medRxiv, Web of Science, Scopus, Chinese Science Citation Database, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, Chinese Scientific Journal Database, and Wan-fang databases in May 2021 to identify randomized controlled trials and evaluate the effects of WeChat APP-based pulmonary rehabilitation training for COVID-19. Two researchers independently carried out data extraction. On the other hand, literature quality evaluation on the quality and meta-analysis of the included literature was performed with Revman5.3 software. Results: The results of this meta-analysis will be submitted to a peer-reviewed journal for publication. Conclusion: This study will provide reliable evidence-based evidence on the effects of WeChat APP-based pulmonary rehabilitation training on lung function, bad mood, and quality of life in patients with COVID-19. Ethics and dissemination: Ethical approval was not required for this study. The systematic review will be published in a peer-reviewed journal, presented at conferences, and shared on social media platforms. OSF Registration number: DOI 10.17605/OSF.IO/MKXCH.

Details

ISSN :
15365964
Volume :
100
Issue :
31
Database :
OpenAIRE
Journal :
Medicine
Accession number :
edsair.doi.dedup.....79f9cba68acddd5e1ce282e0358a89b7