2020
DOI: 10.1017/dmp.2020.430
|View full text |Cite
|
Sign up to set email alerts
|

A Swift and Dynamic Strategy to Expand Emergency Department Capacity for COVID-19

Abstract: Emergency departments (EDs) worldwide struggled to prepare for COVID-19 patient surge and to simultaneously preserve sufficient capacity for ‘regular’ emergency care. While many hospitals used costly shelter facilities, it was decided to merge the acute medical unit (AMU) and the ED. The conjoined AMU-ED was segregated into a high-risk and a low-risk area to maintain continuity of emergency care. This strategy allowed for a feasible, swift and dynamic expansion of ED capacity without the need for external tent… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
8
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
1

Relationship

2
5

Authors

Journals

citations
Cited by 11 publications
(8 citation statements)
references
References 8 publications
0
8
0
Order By: Relevance
“…As the pandemic continued into May and beyond, LOS-A and LOS-D increased above the levels as expected from the pre-COVID-19 period, and this trend continued for the remainder of 2020 (Fig- across the United States in April and May 2020. [25][26][27] This has likely contributed to a nationwide reduction in inpatient bed availability, which numerous studies have shown to have the strongest correlation with ED LOS-A 23,24 ; the less inpatient bed availability, the longer the LOS-A.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…As the pandemic continued into May and beyond, LOS-A and LOS-D increased above the levels as expected from the pre-COVID-19 period, and this trend continued for the remainder of 2020 (Fig- across the United States in April and May 2020. [25][26][27] This has likely contributed to a nationwide reduction in inpatient bed availability, which numerous studies have shown to have the strongest correlation with ED LOS-A 23,24 ; the less inpatient bed availability, the longer the LOS-A.…”
Section: Discussionmentioning
confidence: 99%
“…23,24 Instead, we did attempt to address this by taking data from the US Department of Health and Human Services (HHS) and the COVID Tracking Project in order to explain the increase in LOS-A as a function of ED volume. [25][26][27] Another limitation is that we were unable to collect data regarding nurse staffing, specifically nursing hours worked as a function of time, number of furloughs, and number of nursing call-offs. Having such data may have been useful in determining if and how much nurse staffing had any correlation with LOS.…”
Section: Limitationsmentioning
confidence: 99%
“…A certain degree of overcapacity may be pivotal for an effective response. As this pandemic is ongoing, surge capacity models that allow some flexibility may be the most useful [7,9,19]. Hospital capacity is dynamic and highly dependent on the occupancy of available resources [20].…”
Section: Plos Onementioning
confidence: 99%
“…The current COVID-19 pandemic was initially characterized by rapidly increasing patient hospital contacts. A swift overhaul of several aspects of ED preparations in Dutch hospitals was imperative [6,7]. Challenges mainly concerned surge capacity, frontline staff (staff at high risk of infection during initial contact with patients) protection and the segregation of suspect-COVID-19 patients [8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…The conjoined AMU-ED was segregated into a high-risk and a low-risk area: both medically unstable (for adequate resuscitation cubicles) and COVID-19 suspected patients were assigned to the ED (high-risk area) and isolated, whereas low-acuity, COVID-19 non-suspected patients were assigned to the AMU (low-risk area). This specific approach was comprehensively described in a previous publication [25].…”
Section: Study Design and Settingmentioning
confidence: 99%