Document Detail


Relationship between the National ED Overcrowding Scale and the number of patients who leave without being seen in an academic ED.
MedLine Citation:
PMID:  15915399     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: We hypothesize that the number of patients who leave without being seen is correlated with the simple-to-use National Emergency Department Overcrowding Scale (NEDOCS). METHODS: Results of a 6-item ED overcrowding scale (NEDOCS) were collected prospectively over a 17-day study period. The following additional data were extracted from records for each 2-hour study period: (1) number of registered patients, (2) number of ambulances that arrived, and (3) number of patients signed in that hour who eventually left without being seen. Spearman correlation coefficients were computed for the leaving without being seen (LWBS) rate with the NEDOCS score at the time of patient presentation and 2, 4, and 6 hours later. RESULTS: The study period represents two hundred fourteen 2-hour periods. The LWBS rate was determined for 100% of the times; NEDOCS scores were determined for a sampling of 62% of the times spread equally over all hours of the day and days of the week. Correlation between the NEDOCS score and LWBS was 0.665. CONCLUSION: The NEDOCS score is well correlated with LWBS.
Authors:
Steven J Weiss; Amy A Ernst; Robert Derlet; Richard King; Aaron Bair; Todd G Nick
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  The American journal of emergency medicine     Volume:  23     ISSN:  0735-6757     ISO Abbreviation:  Am J Emerg Med     Publication Date:  2005 May 
Date Detail:
Created Date:  2005-05-25     Completed Date:  2005-07-26     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8309942     Medline TA:  Am J Emerg Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  288-94     Citation Subset:  IM    
Affiliation:
Department of Emergency, University of New Mexico, Albuquerque 87131-0001, USA. sweiss52@aol.com
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MeSH Terms
Descriptor/Qualifier:
Academic Medical Centers
Crowding*
Emergency Service, Hospital / statistics & numerical data*
Humans
Patient Dropouts / statistics & numerical data*
Prospective Studies
Time Factors
Urban Population

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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