Since the first case recorded in China in 2019, CoViD-19 has overwhelmed the health systems of all countries. The highly complex request for assistance combined with the fear of contagion have changed the normal activity of hospitals. Conversely, as the pandemic spreads, fewer people are going to the Emergency Department (ED) for non-CoViD diseases. In this study, logistic regression and statistical analysis were used to investigate how the pandemic changed the activity of the Emergency Medicine Department of "San Giovanni di Dio and Ruggi d'Aragona" University Hospital of Salerno (Italy). Patients admitted in 2020 have a higher Length of Stay (LOS) and the mode of discharge is mostly "at home". While the discharge modality 'transferred to another regime in the same hospital' had significantly decreased in order to counter the internal contagion.

Use of statistical analysis and logistic regression to study the length of stay in an Emergency Medicine Department in CoViD-19 era / Loperto, Ilaria; De Coppi, Lucia; Scala, Arianna; Borrelli, Anna; Ferrucci, Giuseppe; Triassi, Maria. - (2021), pp. 1-3. (Intervento presentato al convegno BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology) [10.1145/3502060.3503661].

Use of statistical analysis and logistic regression to study the length of stay in an Emergency Medicine Department in CoViD-19 era

Ilaria Loperto;Arianna Scala
;
Maria Triassi
2021

Abstract

Since the first case recorded in China in 2019, CoViD-19 has overwhelmed the health systems of all countries. The highly complex request for assistance combined with the fear of contagion have changed the normal activity of hospitals. Conversely, as the pandemic spreads, fewer people are going to the Emergency Department (ED) for non-CoViD diseases. In this study, logistic regression and statistical analysis were used to investigate how the pandemic changed the activity of the Emergency Medicine Department of "San Giovanni di Dio and Ruggi d'Aragona" University Hospital of Salerno (Italy). Patients admitted in 2020 have a higher Length of Stay (LOS) and the mode of discharge is mostly "at home". While the discharge modality 'transferred to another regime in the same hospital' had significantly decreased in order to counter the internal contagion.
2021
9781450384117
Use of statistical analysis and logistic regression to study the length of stay in an Emergency Medicine Department in CoViD-19 era / Loperto, Ilaria; De Coppi, Lucia; Scala, Arianna; Borrelli, Anna; Ferrucci, Giuseppe; Triassi, Maria. - (2021), pp. 1-3. (Intervento presentato al convegno BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology) [10.1145/3502060.3503661].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/940916
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