2009
DOI: 10.1111/j.1553-2712.2009.00397.x
|View full text |Cite
|
Sign up to set email alerts
|

Emergency Department Patient Flow: The Influence of Hospital Census Variables on Emergency Department Length of Stay

Abstract: Objectives: The objective was to evaluate the association between hospital census variables and emergency department (ED) length of stay (LOS). This may give insights into future strategies to relieve ED crowding.Methods: This multicenter cohort study captured ED LOS and disposition for all ED patients in five hospitals during five 1-week study periods. A stepwise multiple regression analysis was used to examine associations between ED LOS and various hospital census parameters.Results: Data were analyzed on 2… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

2
74
0
1

Year Published

2010
2010
2023
2023

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 92 publications
(77 citation statements)
references
References 15 publications
2
74
0
1
Order By: Relevance
“…Mental health and substance abuse conditions have also been recognized as key risk factors for frequent use of psychiatric emergency services [14,15]. Despite a fairly robust literature, most prior work in this area has focused on a single ED, or utilization of psychiatric emergency services, or relied on large administrative databases, making specific application to broader networks of care more difficult [11,14,[16][17][18][19][20][21][22][23][24][25]. In addition, relatively few studies have attempted to use the identified risk factors to prospectively predict future general hospital ED use.…”
Section: Introductionmentioning
confidence: 99%
“…Mental health and substance abuse conditions have also been recognized as key risk factors for frequent use of psychiatric emergency services [14,15]. Despite a fairly robust literature, most prior work in this area has focused on a single ED, or utilization of psychiatric emergency services, or relied on large administrative databases, making specific application to broader networks of care more difficult [11,14,[16][17][18][19][20][21][22][23][24][25]. In addition, relatively few studies have attempted to use the identified risk factors to prospectively predict future general hospital ED use.…”
Section: Introductionmentioning
confidence: 99%
“…Horwitz et al (2009) Dunn (2003) showed that modest decreases in hospital occupancy rates resulted in highly significant reductions in ED waiting times, thus providing evidence for the importance of hospital-level characteristics on ED performance. Finally, in multiple hospital settings, Lucas et al (2009) found a strong association between hospital census variables and ED length of stay. These results are also important in a more general sense because they suggest that the performance of individual organizational sub-units can only be assessed with reference to the overall composition of activities that organizations hold.…”
Section: Discussionmentioning
confidence: 85%
“…[2][3][4] In this scenario, high hospital census (either generally or in specific service areas, such as intensive care units) leads to prolonged waits for admitted patients, which in turn leads to ED boarding and decreased ability to place and evaluate new patients.…”
mentioning
confidence: 99%