Hostname: page-component-848d4c4894-2xdlg Total loading time: 0 Render date: 2024-06-24T22:49:20.507Z Has data issue: false hasContentIssue false

National Differences in Regional Emergency Department Boarding Times: Are US Emergency Departments Prepared for a Public Health Emergency?

Published online by Cambridge University Press:  01 March 2016

Jennifer S. Love*
Affiliation:
Department of Emergency Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
David Karp
Affiliation:
Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
M. Kit Delgado
Affiliation:
Department of Emergency Medicine, University of Pennsylvania, Philadelphia, Pennsylvania Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania
Gregg Margolis
Affiliation:
Office of the Assistant Secretary of Preparedness and Response, US Department of Health and Human Services, Washington, DC
Douglas J. Wiebe
Affiliation:
Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania
Brendan G. Carr
Affiliation:
Office of the Assistant Secretary of Preparedness and Response, US Department of Health and Human Services, Washington, DC Department of Emergency Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania.
*
Correspondence and reprint requests to Jennifer S. Love, MD, Department of Emergency Medicine, University of Pennsylvania, 3400 Spruce Street, Ground Floor, Ravdin Bldg, Philadelphia, PA 19104 (e-mail: jennifer.love2@uphs.upenn.edu).

Abstract

Objectives

Boarding admitted patients decreases emergency department (ED) capacity to accommodate daily patient surge. Boarding in regional hospitals may decrease the ability to meet community needs during a public health emergency. This study examined differences in regional patient boarding times across the United States and in regions at risk for public health emergencies.

Methods

A retrospective cross-sectional analysis was performed by using 2012 ED visit data from the American Hospital Association (AHA) database and 2012 hospital ED boarding data from the Centers for Medicare and Medicaid Services Hospital Compare database. Hospitals were grouped into hospital referral regions (HRRs). The primary outcome was mean ED boarding time per HRR. Spatial hot spot analysis examined boarding time spatial clustering.

Results

A total of 3317 of 4671 (71%) hospitals were included in the study cohort. A total of 45 high-boarding-time HRRs clustered along the East/West coasts and 67 low-boarding-time HRRs clustered in the Midwest/Northern Plains regions. A total of 86% of HRRs at risk for a terrorist event had high boarding times and 36% of HRRs with frequent natural disasters had high boarding times.

Conclusions

Urban, coastal areas have the longest boarding times and are clustered with other high-boarding-time HRRs. Longer boarding times suggest a heightened level of vulnerability and a need to enhance surge capacity because these regions have difficulty meeting daily emergency care demands and are at increased risk for disasters. (Disaster Med Public Health Preparedness. 2016;10:576–582)

Type
Original Research
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Lurie, N, Margolis, GS, Rising, KL. The US emergency care system: meeting everyday acute care needs while being ready for disasters. Health Aff (Millwood). 2013;32(12):2166-2171. http://dx.doi.org/10.1377/hlthaff.2013.0771.Google Scholar
2. Kelen, GD, McCarthy, ML. The science of surge. Acad Emerg Med. 2006;13(11):1089-1094. http://dx.doi.org/10.1111/j.1553-2712.2006.tb01627.x.Google Scholar
3. Barbisch, DF, Koenig, KL. Understanding surge capacity: essential elements. Acad Emerg Med. 2006;13(11):1098-1102. http://dx.doi.org/10.1111/j.1553-2712.2006.tb01630.x.Google Scholar
4. Bayram, JD, Sauer, LM, Catlett, C, et al. Critical resources for hospital surge capacity: an expert consensus panel. PLoS Curr. 2013 Oct 7 [revised 2013 Oct 7]. doi: 10.1371/currents.dis.67c1afe8d78ac2ab0ea52319eb119688.CrossRefGoogle ScholarPubMed
5. Office of the Assistant Secretary for Preparedness and Response, Hospital Preparedness Program (HPP) website. Healthcare Preparedness Capabilities: National Guidance for Healthcare System Preparedness. http://www.phe.gov/preparedness/planning/hpp/pages/default.aspx. Accessed May 23, 2014.Google Scholar
6. Soremekun, OA, Terwiesch, C, Pines, JM. Emergency medicine: an operations management view. Acad Emerg Med. 2011;18(12):1262-1268. http://dx.doi.org/10.1111/j.1553-2712.2011.01226.x.Google Scholar
7. National Quality Forum website. Regionalized Emergency Medical Care Services: Emergency Department Crowding and Boarding, Healthcare System Preparedness and Surge Capacity - Performance Measurement Gap Analysis and Topic Prioritization. http://www.qualityforum.org/Projects/n-r/Regionalized_Emergency_Medical_Services/Draft_Report.aspx. Published November 8, 2012. Accessed May 23, 2014.Google Scholar
8. Beniuk, K, Boyle, AA, Clarkson, PJ. Emergency department crowding: prioritising quantified crowding measures using a Delphi study. Emerg Med J. 2012;29(11):868-871. http://dx.doi.org/10.1136/emermed-2011-200646.Google Scholar
9. Hwang, U, McCarthy, ML, Aronsky, D, et al. Measures of crowding in the emergency department: a systematic review: ED crowding measures. Acad Emerg Med. 2011;18(5):527-538. http://dx.doi.org/10.1111/j.1553-2712.2011.01054.x.Google Scholar
10. McCarthy, ML, Aronsky, D, Kelen, GD. The measurement of daily surge and its relevance to disaster preparedness. Acad Emerg Med. 2006;13(11):1138-1141. http://dx.doi.org/10.1111/j.1553-2712.2006.tb01637.x.Google Scholar
11. 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. http://dx.doi.org/10.1016/j.annemergmed.2007.07.008.Google Scholar
12. Sun, BC, Hsia, RY, Weiss, RE, et al. Effect of emergency department crowding on outcomes of admitted patients. Ann Emerg Med. 2013;61(6):605-611.e6. http://dx.doi.org/10.1016/j.annemergmed.2012.10.026.Google Scholar
13. Carr, BG, Kaye, AJ, Wiebe, DJ, et al. Emergency department length of stay: a major risk factor for pneumonia in intubated blunt trauma patients. J Trauma. 2007;63(1):9-12. http://dx.doi.org/10.1097/TA.0b013e31805d8f6b.Google Scholar
14. Bernstein, SL, Aronsky, D, Duseja, R, et al. The effect of emergency department crowding on clinically oriented outcomes. Acad Emerg Med. 2009;16(1):1-10. http://dx.doi.org/10.1111/j.1553-2712.2008.00295.x.Google Scholar
15. Chalfin, DB, Trzeciak, S, Likourezos, A, et al; DELAY-ED study group. Impact of delayed transfer of critically ill patients from the emergency department to the intensive care unit. Crit Care Med. 2007;35(6):1477-1483. http://dx.doi.org/10.1097/01.CCM.0000266585.74905.5A.Google Scholar
16. Liew, D, Liew, D, Kennedy, MP. Emergency department length of stay independently predicts excess inpatient length of stay. Med J Aust. 2003;179(10):524-526.Google Scholar
17. Mills, AM, Shofer, FS, Chen, EH, et al. The association between emergency department crowding and analgesia administration in acute abdominal pain patients. Acad Emerg Med. 2009;16(7):603-608. http://dx.doi.org/10.1111/j.1553-2712.2009.00441.x.Google Scholar
18. Schull, MJ, Morrison, LJ, Vermeulen, M, et al. Emergency department overcrowding and ambulance transport delays for patients with chest pain. CMAJ. 2003;168(3):277-283.Google Scholar
19. Shen, Y-C, Hsia, RY. Association between ambulance diversion and survival among patients with acute myocardial infarction. JAMA. 2011;305(23):2440-2447. http://dx.doi.org/10.1001/jama.2011.811.Google Scholar
20. Associated Press. Dallas hospital had poor emergency room performance before Ebola case. CBS News. http://www.cbsnews.com/news/hospital-of-ebola-patient-posts-poor-er-benchmarks/. Published October 22, 2014. Accessed October 26, 2014.Google Scholar
21. What is Hospital Compare? Medicare.gov website. http://www.medicare.gov/hospitalcompare/About/What-Is-HOS.html. Accessed May 23, 2014.Google Scholar
22. Wennberg, JE, Cooper, MM, Dartmouth Atlas of Health Care Working Group. The Quality of Medical Care in the United States: A Report on the Medicare Program. Chicago, IL: Health Forum, Inc; 1999. http://www.dartmouthatlas.org/downloads/atlases/99Atlas.pdf. Accessed May 24, 2014.Google Scholar
23. Anselin, L. Local indicators of spatial association - LISA. Geogr Anal. 1995;27(2):93-115. http://dx.doi.org/10.1111/j.1538-4632.1995.tb00338.x.Google Scholar
24. 2013 Homeland Security Grant Program Summary. UASI blog website. http://urbanareas.org/blog/2013-homeland-security-grant-program-summary/. Published May 22, 2013. Accessed May 23, 2014.Google Scholar
25. Urban Area Security Initiative (UASI) Grant Details. Homeland Security Grants.info website. http://www.homelandsecuritygrants.info/GrantDetails.aspx?gid=33162. Accessed May 23, 2014.Google Scholar
26. FEMA Disaster Declarations. FEMA website. http://www.fema.gov/disasters. Accessed June 10, 2014.Google Scholar
27. Stratton, SJ, Tyler, RD. Characteristics of medical surge capacity demand for sudden-impact disasters. Acad Emerg Med. 2006;13(11):1193-1197. http://dx.doi.org/10.1111/j.1553-2712.2006.tb01647.x.Google Scholar
28. Kaji, AH, Lewis, RJ. Hospital disaster preparedness in Los Angeles County. Acad Emerg Med. 2006;13(11):1198-1203. http://dx.doi.org/10.1111/j.1553-2712.2006.tb01648.x.Google Scholar
29. Mokdad, AH, Mensah, GA, Posner, SF, et al. When chronic conditions become acute: prevention and control of chronic diseases and adverse health outcomes during natural disasters. Prev Chronic Dis. 2005;2(Spec no):A04.Google Scholar
30. Runkle, JD, Brock-Martin, A, Karmaus, W, et al. Secondary surge capacity: a framework for understanding long-term access to primary care for medically vulnerable populations in disaster recovery. Am J Public Health. 2012;102(12):e24-e32. http://dx.doi.org/10.2105/AJPH.2012.301027.Google Scholar
31. Howard, D, Zhang, R, Huang, Y, et al. Hospitalization rates among dialysis patients during Hurricane Katrina. Prehosp Disaster Med. 2012;27(4):325-329. http://dx.doi.org/10.1017/S1049023X12000945.CrossRefGoogle ScholarPubMed
32. Pole, T, Marcozzi, D, Hunt, RC. Interrupting my shift: disaster preparedness and response. Ann Emerg Med. 2014;63(5):584-588. http://dx.doi.org/10.1016/j.annemergmed.2013.08.030.Google Scholar
33. Members of the Public Health and Injury Prevention Committee, American College of Emergency Physicians. Public Health Impact of ED Crowding and Boarding of Inpatients. https://www.acep.org/content.aspx?id=48735. Published October 2009. Accessed February 7, 2015.Google Scholar