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

I. Loperto, Lucia De Coppi, A. Scala, A. Borrelli, Giuseppe Ferrucci, M. Triassi
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引用次数: 1

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.
应用统计分析和logistic回归研究新冠肺炎疫情下急诊科住院时间
自2019年中国出现首例病例以来,新冠肺炎疫情已使各国卫生系统不堪重负。高度复杂的援助请求加上对传染的恐惧改变了医院的正常活动。相反,随着大流行的蔓延,去急诊室看非covid - 19疾病的人越来越少。在这项研究中,采用logistic回归和统计分析来调查大流行如何改变萨莱诺“圣乔瓦尼迪迪奥和鲁吉阿拉戈纳”大学医院(意大利)急诊科的活动。2020年入院患者住院时间(LOS)更高,出院方式以“在家”为主。而出院方式"转移到同一医院的另一制度"已显著减少,以对抗内部传染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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