Statistical Analysis and Logistic Regression to Assess How COVID-19 Has Changed Department of General Medicine Patients' Management: A Bicentric Study
2nd International Symposium on Biomedical and Computational Biology, BECB 2022
; 13637 LNBI:401-409, 2023.
Article
in English
| Scopus | ID: covidwho-2279723
ABSTRACT
The purpose of the present work was to assess the impact of the Covid-19 epidemic on the activity of the Department of General Medicine in the University Hospital "San Giovanni di Dio and Ruggi d'Aragona” of Salerno and the hospital "A.O.R.N. A. Cardarelli” of Naples (Italy). COVID-19 is a specific disease affecting subject respiratory system is a respiratory infection that changed the health context. Because of the pandemic hospitals had to reorganize departments to better manage resources. In order to make a comparison with and without Covid-19, the data for the year 2019 (in the absence of Covid-19) and in the year of the pandemic 2020 have been collected. In the work was used the logistic regression technique to study the following variables age, sex, LOS, weight of DRG, mode of discharge and type of hospitalization. In addition, the results of the two hospitals were used to make a comparison. For both hospitals in the year 2020 the number of patients admitted is lower than the previous year, and this shows that there has been appropriate management and control to establish patients who really needed hospitalization. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2nd International Symposium on Biomedical and Computational Biology, BECB 2022
Year:
2023
Document Type:
Article
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