Literature DB >> 17976788

EMDOC (Emergency Department overcrowding) Internet-based safety net research.

Robert Steele1, Attilla Kiss.   

Abstract

Emergency Department (ED) overcrowding is a national crisis with few prospective data to document its occurrence. The objective of this study was to prospectively collect data on variables involved in Emergency Department overcrowding (EMDOC) using an Internet-based data entry model. A prospective observational Internet-based study involving 18 hospitals over a 13-month period was designed. Investigators input data into the EmDOC Internet site at 10:00 p.m. on 7 random days each month. The study found that the primary reason for ED overcrowding was lack of inpatient beds. Important means were: patient-to-nurse ratio = 2.85, diversion was 7.4 h/24 h, and hospital census was 83%. From ED waiting room to an ED bed took a mean time of 209 min. The mean number of makeshift beds was 3.1. There was no single variable that was noted to define or predict overcrowding. Documentation of factors involved in ED overcrowding found that overcrowding was not just an ED problem, but a problem that occurs due to overcrowding in the entire institution.

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Year:  2007        PMID: 17976788     DOI: 10.1016/j.jemermed.2007.03.022

Source DB:  PubMed          Journal:  J Emerg Med        ISSN: 0736-4679            Impact factor:   1.484


  5 in total

1.  Overcrowding is associated with delays in percutaneous coronary intervention for acute myocardial infarction.

Authors:  Erik B Kulstad; Ken M Kelley
Journal:  Int J Emerg Med       Date:  2009-06-05

2.  Implementing wait-time reductions under Ontario government benchmarks (Pay-for-Results): a Cluster Randomized Trial of the Effect of a Physician-Nurse Supplementary Triage Assistance team (MDRNSTAT) on emergency department patient wait times.

Authors:  Ivy Cheng; Jacques Lee; Nicole Mittmann; Jeffrey Tyberg; Sharon Ramagnano; Alex Kiss; Michael Schull; Fergus Kerr; Merrick Zwarenstein
Journal:  BMC Emerg Med       Date:  2013-11-11

3.  Emergency Department Crowding Disparity: a Nationwide Cross-Sectional Study.

Authors:  Won Chul Cha; Ki Ok Ahn; Sang Do Shin; Jeong Ho Park; Jin Sung Cho
Journal:  J Korean Med Sci       Date:  2016-05-18       Impact factor: 2.153

4.  Physician-led team triage based on lean principles may be superior for efficiency and quality? A comparison of three emergency departments with different triage models.

Authors:  Lena Burström; Martin Nordberg; Göran Ornung; Maaret Castrén; Tony Wiklund; Marie-Louise Engström; Mats Enlund
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2012-08-20       Impact factor: 2.953

5.  Using Six Sigma DMAIC Methodology and Discrete Event Simulation to Reduce Patient Discharge Time in King Hussein Cancer Center.

Authors:  Mazen Arafeh; Mahmoud A Barghash; Nirmin Haddad; Nadeem Musharbash; Dana Nashawati; Adnan Al-Bashir; Fatina Assaf
Journal:  J Healthc Eng       Date:  2018-06-24       Impact factor: 2.682

  5 in total

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