Logistic Regression to study the change in length of stay in a department of Ophthalmology in CoViD-19 era

Abstract

The CoViD-19 pandemic since December 2019 has rapidly spread around the world and to date does not seem to stop its run. The world has paid a very high price in terms of human lives lost and economic repercussions. Health systems have generally been severely tested. The strong demand for CoViD-19 patients has resulted in the blocking of deferred elective procedures and a reconversion of beds and human and technological resources towards the management of the pandemic. In this work, the activity of the Department of Ophthalmology in "San Giovanni di Dio and Ruggi d'Aragona" University Hospital of Salerno (Italy) was analyzed. Specifically, the value obtained from a set of data in the year 2019 (pre-pandemic) was compared with that obtained in the following year, in the height of the pandemic. The results show that patients admitted in 2020 have a shorter length of stay.