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Strategies to convert hospital beds for COVID-19 patients to minimize emergency department overcrowding.

Authors :
Nattino, Giovanni
Paganuzzi, Marco Maria
Ghilardi, Giulia Irene
Costantino, Giorgio
Rossi, Carlotta
Cortellaro, Francesca
Cosentini, Roberto
Paglia, Stefano
Migliori, Maurizio
Bertolini, Guido
Source :
Health Services Management Research; Nov2024, Vol. 37 Issue 4, p209-218, 10p
Publication Year :
2024

Abstract

Background: The shortage of hospital beds for COVID-19 patients has been one critical cause of Emergency Department (ED) overcrowding. Purpose: We aimed at elaborating a strategy of conversion of hospital beds, from non-COVID-19 to COVID-19 care, minimizing both ED overcrowding and the number of beds eventually converted. Research Design: Observational retrospective study. Study Sample: We considered the centralized database of all ED admissions in the Lombardy region of Italy during the second "COVID-19 wave" (October to December 2020). Data collection and Analysis: We analyzed all admissions to 82 EDs. We devised a family of Monte Carlo simulations to evaluate the performance of hospital beds' conversion strategies triggered by ED crowding of COVID-19 patients, determining a critical number of beds to be converted when passing an ED-specific crowding threshold. Results: Our results suggest that the maximum number of patients waiting for hospitalization could have been decreased by 70% with the proposed strategy. Such a reduction would have been achieved by converting 30% more hospital beds than the total number converted in the region. Conclusions: The disproportion between reduction in ED crowding and additionally converted beds suggests that a wide margin to improve the efficiency of the conversions exists. The proposed simulation apparatus can be easily generalized to study management policies synchronizing ED output and in-hospital bed availability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09514848
Volume :
37
Issue :
4
Database :
Complementary Index
Journal :
Health Services Management Research
Publication Type :
Academic Journal
Accession number :
180764405
Full Text :
https://doi.org/10.1177/09514848231218648