Volume 10, Issue 4 (3-2023)                   2023, 10(4): 65-76 | Back to browse issues page

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R G, A E Z, F A M, H D K, M H G. Using the MEWS tool to predicting mortality in patients with Covid-19: a systematic review. Journal title 2023; 10 (4) :65-76
URL: http://jms.thums.ac.ir/article-1-1136-en.html
1- Mazandaran University of Medical Sciences, Sari
Abstract:   (897 Views)
Background and aim: As a pandemic disease, Covid-19 has no proven specific treatment. Predicting the patient's condition and preventive treatments are helpful in helping patients recover, so this study was conducted with the aim of investigating the effect of using the MEWS tool in predicting mortality due to covid-19 disease.
 Methods: This study was conducted by searching Persian scientific databases such as SID, Magiran, Iran medex, with the keywords of mortality, modified early warning system, covid-19, prevention, corona virus and for studies published in in English, the keywords MEWS Score, Mortality, Predicting, covid19, corona virus, modify early warning score are used in Scopus, PubMed, Web of Science, Science Direct and finally Google Scholar. The year limit was not applied to search for articles. Exclusion criteria included review articles and articles without full text.
Results: From the total of 45 searched articles, 15 articles were included in the study. The findings showed that the use of the MEWS tool during the admission of patients with covid-19 helps in predicting the patient's clinical condition and the course of his disease, as well as estimating the adopted treatment process and its effectiveness.
Conclusion: With the proper use and practical training of this tool to nurses and their proper follow-up, timely treatment and proper monitoring of clinical symptoms, the mortality caused by covid-19 can be predicted to a high extent.
 
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Type of Study: Applicable | Subject: Special
Received: 2022/12/23 | Accepted: 2023/02/26 | Published: 2023/07/3

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