Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Apr 26;20(1):356.
doi: 10.1186/s12913-020-05196-4.

Temporal trends in emergency department volumes and crowding metrics in a western Canadian province: a population-based, administrative data study

Affiliations

Temporal trends in emergency department volumes and crowding metrics in a western Canadian province: a population-based, administrative data study

Brian H Rowe et al. BMC Health Serv Res. .

Abstract

Background: Emergency Department (ED) crowding is a pervasive problem, yet there have been few comparisons of the extent of, and contributors to, crowding among different types of EDs. The study quantifies and compares crowding metrics for 16 high volume regional, urban and academic EDs in one Canadian province.

Methods: The National Ambulatory Care Reporting System (NACRS) provided ED presentations by adults to 16 high volume Alberta EDs during April 2010 to March 2015 for this retrospective cohort study. Time to physician initial assessment (PIA), length of stay (LOS) for discharges and admissions were grouped by start hour of presentation and facility. Multiple crowding metrics were created by taking the means, medians (PIA-M, LOS-M), and 90th percentiles of the hourly, ED-specific values. Similarly, proportion left against medical advice (LAMA) and proportion left without being seen (LWBS) were day and ED aggregated. Calculated based on the start of the presentation and the facility and for PIA and LOS. The mean, median, and 90th percentiles for the date and time ED-specific metrics for PIA and LOS were obtained. Summary statistics were used to describe crowding metrics.

Results: There were 3,925,457 presentations by 1,420,679 adults. The number of presentations was similar for each sex and the mean age was 46 years. Generally, the three categories of EDs had similar characteristics; however, urban and academic/teaching EDs had more urgent triage scores and a higher percentage of admissions than regional EDs. The median of the PIA-M metric was 1 h23m across all EDs. For discharges, the median of the LOS-M metric was 3h21m whereas the median of the LOS-M metric for admissions was 10h08m. Generally, regional EDs had shorter times than urban and academic/teaching EDs. The median daily LWBS was 3.4% and the median daily LAMA was about 1%.

Conclusions: Emergency presentations have increased over time, and crowding metrics vary considerably among EDs and over the time of day. Academic/teaching EDs generally have higher crowding metrics than other EDs and urgent action is required to mitigate the well-known consequences of ED crowding.

Keywords: Admission; Crowding metrics; Emergency department; Patient flow.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interest.

Figures

Fig. 1
Fig. 1
ED presentations by fiscal year and ED category: regional (○), urban (+), and academic/teaching (×)
Fig. 2
Fig. 2
Median and interquartile range for metrics PIA-M and LOS-M for all EDs and by ED category. Legend: PIA-M = hourly, facility specific median time to physician initial assessment, LOS-M = hourly, facility specific median LOS
Fig. 3
Fig. 3
Percent of presentations from all ED that exceeded the 50th percentile CAEP recommendations. Physician initial assessment (PIA), length of stay (LOS) for discharges with CTAS 1/2/3, LOS for discharges with CTAS 4/5, and LOS for admissions for all EDs and by fiscal year (darkest grey 2010/2011, lightest grey 2014/2015). If the recommendation for the median was achieved, the bar would be below the 50% line
Fig. 4
Fig. 4
Percent of presentations from all ED that exceeded the 90th percentile CAEP recommendations. Physician initial assessment (PIA), length of stay (LOS) for discharges with CTAS 1/2/3, LOS for discharges with CTAS 4/5, and LOS for admissions for all EDs and by fiscal year (darkest grey 2010/2011, lightest grey 2014/2015). If the recommendation for the 90th percentile was achieved, the bar would be below the 10% line

Similar articles

Cited by

References

    1. Asplin BR, Magid DJ, Rhodes KV, Solberg LI, Lurie N, Camargo CA. A conceptual model of emergency department crowding. Ann Emerg Med. 2003;42(2):173–180. doi: 10.1067/mem.2003.302. - DOI - PubMed
    1. Pines J, Hollander J, Localio AR, Metlay J. The association between emergency department crowding and hospital performance on antibiotic timing for pneumonia and percutaneous intervention for myocardial infarction. Acad Emerg Med. 2006;13(8):873–878. doi: 10.1197/j.aem.2006.03.568. - DOI - PubMed
    1. Affleck A, Parks P, Drummond A, Rowe B, Ovens H. Emergency department overcrowding and access block. CJEM. 2013;15(6):59–37. - PubMed
    1. Kulstad EB, Kelley KM. Overcrowding is associated with delays in percutaneous coronary intervention for acute myocardial infarction. Int J Emerg Med. 2009;2(3):149–154. doi: 10.1007/s12245-009-0107-x. - DOI - PMC - PubMed
    1. Pines JM, Hollander JE. Emergency department crowding is associated with poor Care for Patients with severe pain. Ann Emerg Med. 2008;51(1):1–5. doi: 10.1016/j.annemergmed.2007.07.008. - DOI - PubMed

LinkOut - more resources