The Effect of the Full Closure Process on the Patient Density in the Emergency Department.

Autor: Yılmaz, Gökhan, Uyanık, Ahmet, Aktaş, İsmail, Akıncı, Murat, Uyar, Hasan Gazi
Předmět:
Zdroj: Comprehensive Medicine; Mar2023, Vol. 15 Issue 2, p132-137, 6p
Abstrakt: Objective: Social isolation methods are one of the important steps in the prevention of viral pandemics. In this study, we aimed to determine the impression of the full closure process, which is one of the social isolation methods, on the emergency department patient density and the operation of the emergency department. Materials and Methods: Patients who admitted to Konya Meram Public Hospital between April 14, 2021, and June 01, 2021, with coronavirus disease 2019 symptoms and signs were included in the study. Three periods were established for the study: The pre-full closure period, the full closure period, and the postfull closure period. The number of daily admissions to the emergency department, the number of patients hospitalized from the emergency department to the pandemic service or the pandemic intensive care unit, and the total number of hospitalizations were recorded for these three periods. Results: The information data of 7891 patients who come into the emergency department between the specified dates were included in the study. The difference between all patient groups was found to be statistically significant as a result of the statistical analyzes made with the number of daily admissions to the emergency department, the number of patients hospitalized from the emergency department to the pandemic service or the pandemic intensive care unit, and the total number of hospitalizations (p=0.001). Conclusion: We concluded that the full closure process contributes to the reduction of emergency department patient density in viral pandemics. We think that social isolation should be considered in order not to disrupt the functioning of the hospital, especially in the emergency departments, in viral pandemics that may be seen in the future. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index