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Statistical Analysis and Logistic Regression to Assess How COVID-19 Has Changed Department of General Medicine Patients’ Management: A Bicentric Study

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Biomedical and Computational Biology (BECB 2022)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 13637))

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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.

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Authors and Affiliations

  1. Department of Public Health, University of Naples “Federico II”, Naples, Italy

    Ida Santalucia, Marta Rosaria Marino & Maria Triassi

  2. A.O.R.N. “Antonio Cardarelli”, Naples, Italy

    Massimo Majolo & Giuseppe Longo

  3. “San Giovanni di Dio e Ruggi d’Aragona” University Hospital, Salerno, Italy

    Andrea Lombardi & Anna Borrelli

  4. Interdepartmental Center for Research in Healthcare Management and Innovation in Healthcare (CIRMIS), University of Naples “Federico II”, Naples, Italy

    Maria Triassi

Authors
  1. Ida Santalucia
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  2. Marta Rosaria Marino
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  4. Giuseppe Longo
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  7. Maria Triassi
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Correspondence to Marta Rosaria Marino .

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Editors and Affiliations

  1. University of Technology Sydney, Sydney, NSW, Australia

    Shiping Wen

  2. Nanchang Hangkong University, Nanchang, China

    Cihui Yang

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Santalucia, I. et al. (2023). Statistical Analysis and Logistic Regression to Assess How COVID-19 Has Changed Department of General Medicine Patients’ Management: A Bicentric Study. In: Wen, S., Yang, C. (eds) Biomedical and Computational Biology. BECB 2022. Lecture Notes in Computer Science(), vol 13637. Springer, Cham. https://doi.org/10.1007/978-3-031-25191-7_36

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  • DOI: https://doi.org/10.1007/978-3-031-25191-7_36

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