Literature DB >> 33434228

Modeling Emergency Department crowding: Restoring the balance between demand for and supply of emergency medicine.

John Pastor Ansah1, Salman Ahmad1, Lin Hui Lee2, Yuzeng Shen3, Marcus Eng Hock Ong1,3, David Bruce Matchar1, Lukas Schoenenberger4.   

Abstract

Emergency Departments (EDs) worldwide are confronted with rising patient volumes causing significant strains on both Emergency Medicine and entire healthcare systems. Consequently, many EDs are in a situation where the number of patients in the ED is temporarily beyond the capacity for which the ED is designed and resourced to manage-a phenomenon called Emergency Department (ED) crowding. ED crowding can impair the quality of care delivered to patients and lead to longer patient waiting times for ED doctor's consult (time to provider) and admission to the hospital ward. In Singapore, total ED attendance at public hospitals has grown significantly, that is, roughly 5.57% per year between 2005 and 2016 and, therefore, emergency physicians have to cope with patient volumes above the safe workload. The purpose of this study is to create a virtual ED that closely maps the processes of a hospital-based ED in Singapore using system dynamics, that is, a computer simulation method, in order to visualize, simulate, and improve patient flows within the ED. Based on the simulation model (virtual ED), we analyze four policies: (i) co-location of primary care services within the ED, (ii) increase in the capacity of doctors, (iii) a more efficient patient transfer to inpatient hospital wards, and (iv) a combination of policies (i) to (iii). Among the tested policies, the co-location of primary care services has the largest impact on patients' average length of stay (ALOS) in the ED. This implies that decanting non-emergency lower acuity patients from the ED to an adjacent primary care clinic significantly relieves the burden on ED operations. Generally, in Singapore, there is a tendency to strengthen primary care and to educate patients to see their general practitioners first in case of non-life threatening, acute illness.

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Year:  2021        PMID: 33434228      PMCID: PMC7802975          DOI: 10.1371/journal.pone.0244097

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  25 in total

1.  A conceptual model of emergency department crowding.

Authors:  Brent R Asplin; David J Magid; Karin V Rhodes; Leif I Solberg; Nicole Lurie; Carlos A Camargo
Journal:  Ann Emerg Med       Date:  2003-08       Impact factor: 5.721

Review 2.  Emergency department overcrowding in the United States: an emerging threat to patient safety and public health.

Authors:  S Trzeciak; E P Rivers
Journal:  Emerg Med J       Date:  2003-09       Impact factor: 2.740

Review 3.  Emergency department crowding.

Authors:  Ian Higginson
Journal:  Emerg Med J       Date:  2012-01-04       Impact factor: 2.740

4.  A study of the workforce in emergency medicine: 2007.

Authors:  Francis L Counselman; Catherine A Marco; Vicki C Patrick; David A McKenzie; Luke Monck; Frederick C Blum; Keith Borg; Marco Coppola; W Anthony Gerard; Claudia Jorgenson; JoAnn Lazarus; John Moorhead; John Proctor; Gillian R Schmitz; Sandra M Schneider
Journal:  Am J Emerg Med       Date:  2009-07       Impact factor: 2.469

5.  Emergency department crowding: prioritising quantified crowding measures using a Delphi study.

Authors:  Kathleen Beniuk; Adrian A Boyle; P John Clarkson
Journal:  Emerg Med J       Date:  2011-12-23       Impact factor: 2.740

6.  Using demand analysis and system status management for predicting ED attendances and rostering.

Authors:  Marcus Eng Hock Ong; Khoy Kheng Ho; Tiong Peng Tan; Seoh Kwee Koh; Zain Almuthar; Jerry Overton; Swee Han Lim
Journal:  Am J Emerg Med       Date:  2009-01       Impact factor: 2.469

7.  Effect of emergency department crowding on outcomes of admitted patients.

Authors:  Benjamin C Sun; Renee Y Hsia; Robert E Weiss; David Zingmond; Li-Jung Liang; Weijuan Han; Heather McCreath; Steven M Asch
Journal:  Ann Emerg Med       Date:  2012-12-06       Impact factor: 5.721

8.  Decreasing lab turnaround time improves emergency department throughput and decreases emergency medical services diversion: a simulation model.

Authors:  Alan B Storrow; Chuan Zhou; Gary Gaddis; Jin H Han; Karen Miller; David Klubert; Andy Laidig; Dominik Aronsky
Journal:  Acad Emerg Med       Date:  2008-07-14       Impact factor: 3.451

Review 9.  The effect of emergency department crowding on clinically oriented outcomes.

Authors:  Steven L Bernstein; Dominik Aronsky; Reena Duseja; Stephen Epstein; Dan Handel; Ula Hwang; Melissa McCarthy; K John McConnell; Jesse M Pines; Niels Rathlev; Robert Schafermeyer; Frank Zwemer; Michael Schull; Brent R Asplin
Journal:  Acad Emerg Med       Date:  2008-11-08       Impact factor: 3.451

10.  Future requirements for and supply of ophthalmologists for an aging population in Singapore.

Authors:  John P Ansah; Dirk De Korne; Steffen Bayer; Chong Pan; Thiyagarajan Jayabaskar; David B Matchar; Nicola Lew; Andrew Phua; Victoria Koh; Ecosse Lamoureux; Desmond Quek
Journal:  Hum Resour Health       Date:  2015-11-17
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  3 in total

1.  A challenge for healthcare system resilience after an earthquake: The crowdedness of a first-aid hospital by non-urgent patients.

Authors:  You-Xuan Lin; Chi-Hao Lin; Chih-Hao Lin
Journal:  PLoS One       Date:  2021-04-02       Impact factor: 3.240

2.  They Told Me "This Isn't a Hotel": Young People's Experiences and Perceptions of Care When Presenting to the Emergency Department with Suicide-Related Behaviour.

Authors:  Jacinta Freeman; Penelope Strauss; Sharynne Hamilton; Charlotte Pugh; Katherine Browne; Suzanne Caren; Chris Harris; Lyn Millett; Warwick Smith; Ashleigh Lin
Journal:  Int J Environ Res Public Health       Date:  2022-01-26       Impact factor: 3.390

3.  Identifying indicators influencing emergency department performance during a medical surge: A consensus-based modified fuzzy Delphi approach.

Authors:  Egbe-Etu Etu; Leslie Monplaisir; Celestine Aguwa; Suzan Arslanturk; Sara Masoud; Ihor Markevych; Joseph Miller
Journal:  PLoS One       Date:  2022-04-21       Impact factor: 3.752

  3 in total

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