Overcrowding analysis in emergency department through indexes: a single center study
Dublin Core
Title
Overcrowding analysis in emergency department through indexes: a single center study
Subject
Emergency Department, Overcrowding, EDWIN Index, NEDOCS Index
Description
Introduction: Overcrowding in the Emergency Department (ED) is one of the major issues that must be addressed
in order to improve the services provided in emergency circumstances and to optimize their quality. As a result, in
order to help the patients and professionals engaged, hospital organizations must implement remedial and preventative measures. Overcrowding has a number of consequences, including inadequate treatment and longer hospital
stays; as a result, mortality and the average duration of stay in critical care units both rise. In the literature, a number
of indicators have been used to measure ED congestion. EDWIN, NEDOCS and READI scales are considered the most
efcient ones, each of which is based on diferent parameters regarding the patient management in the ED.
Methods: In this work, EDWIN Index and NEDOCS Index have been calculated every hour for a month period from
February 9th to March 9th, 2020 and for a month period from March 10th to April 9th, 2020. The choice of the period
is related to the date of the establishment of the lockdown in Italy due to the spread of Coronavirus; in fact on 9
March 2020 the Italian government issued the frst decree regarding the urgent provisions in relation to the COVID-
19 emergency. Besides, the Pearson correlation coefcient has been used to evaluate how much the EDWIN and
NEDOCS indexes are linearly dependent.
Results: EDWIN index follows a trend consistent with the situation of the frst lockdown period in Italy, defned by
extreme limitations imposed by Covid-19 pandemic. The 8:00–20:00 time frame was the most congested, with peak
values between 8:00 and 12:00. on the contrary, in NEDOCS index doesn’t show a trend similar to the EDWIN one,
resulting less reliable. The Pearson correlation coefcient between the two scales is 0,317.
Conclusion: In this study, the EDWIN Index and the NEDOCS Index were compared and correlated in order to
assess their efcacy, applying them to the case study of the Emergency Department of “San Giovanni di Dio e Ruggi
d’Aragona” University Hospital during the Covid-19 pandemic. The EDWIN scale turned out to be the most realistic
model in relation to the actual crowding of the ED subject of our study. Besides, the two scales didn’t show a signifcant correlation value.
in order to improve the services provided in emergency circumstances and to optimize their quality. As a result, in
order to help the patients and professionals engaged, hospital organizations must implement remedial and preventative measures. Overcrowding has a number of consequences, including inadequate treatment and longer hospital
stays; as a result, mortality and the average duration of stay in critical care units both rise. In the literature, a number
of indicators have been used to measure ED congestion. EDWIN, NEDOCS and READI scales are considered the most
efcient ones, each of which is based on diferent parameters regarding the patient management in the ED.
Methods: In this work, EDWIN Index and NEDOCS Index have been calculated every hour for a month period from
February 9th to March 9th, 2020 and for a month period from March 10th to April 9th, 2020. The choice of the period
is related to the date of the establishment of the lockdown in Italy due to the spread of Coronavirus; in fact on 9
March 2020 the Italian government issued the frst decree regarding the urgent provisions in relation to the COVID-
19 emergency. Besides, the Pearson correlation coefcient has been used to evaluate how much the EDWIN and
NEDOCS indexes are linearly dependent.
Results: EDWIN index follows a trend consistent with the situation of the frst lockdown period in Italy, defned by
extreme limitations imposed by Covid-19 pandemic. The 8:00–20:00 time frame was the most congested, with peak
values between 8:00 and 12:00. on the contrary, in NEDOCS index doesn’t show a trend similar to the EDWIN one,
resulting less reliable. The Pearson correlation coefcient between the two scales is 0,317.
Conclusion: In this study, the EDWIN Index and the NEDOCS Index were compared and correlated in order to
assess their efcacy, applying them to the case study of the Emergency Department of “San Giovanni di Dio e Ruggi
d’Aragona” University Hospital during the Covid-19 pandemic. The EDWIN scale turned out to be the most realistic
model in relation to the actual crowding of the ED subject of our study. Besides, the two scales didn’t show a signifcant correlation value.
Creator
Ylenia Colella, Danilo Di Laura, Anna Borrelli, Maria Triassi, Francesco Amato and Giovanni Improta
Publisher
BMC Emergency Medicine
Date
(2022) 22:181
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Ylenia Colella, Danilo Di Laura, Anna Borrelli, Maria Triassi, Francesco Amato and Giovanni Improta, “Overcrowding analysis in emergency department through indexes: a single center study,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/4265.