Literature DB >> 15741586

Factors associated with patients who leave without being seen.

Steven K Polevoi1, James V Quinn, Nathan R Kramer.   

Abstract

OBJECTIVES: Patients who leave without being seen (LWBS) can be an indicator of patient satisfaction and quality for emergency departments (ED). The objective of this study was to develop a model to determine factors associated with patients who LWBS.
METHODS: A modified case-crossover design to determine the transient effects on the risk of acute events was used. Over a four-month period, time intervals when patients LWBS were matched (within two weeks), according to time of day and day of week, with time periods when patients did not LWBS. Factors considered were percentage of ED bed capacity, acuity of ED patients, length of stay of discharged patients in the ED, patients awaiting an admission bed in the ED, inpatient floor capacity, intensive care unit capacity, and the characteristics of the attending physician in charge. McNemar test, Wilcoxon signed-rank test, and conditional logistic regression analyses were used to determine significant variables.
RESULTS: Over the study period, there were 11,652 visits, of which 213 (1.8%) resulted in patients who LWBS. Measures of inpatient capacity were not associated with patients who LWBS and ED capacity was only associated when >100%. This association increased with increasing capacity. Other significant factors were older age (p < 0.01) and completion of an emergency medicine residency (p < 0.01) of the physician in charge. When factors were considered in a multivariate model, ED capacity >140% (odds ratio, 1.96; 95% confidence interval = 1.22 to 3.17) and noncompletion of an emergency medicine residency (odds ratio, 1.85; 95% confidence interval = 1.17 to 2.93) were most important.
CONCLUSIONS: ED capacity >100% is associated with patients who LWBS and is most significant at 140% capacity. ED capacity of 100% may not be a sensitive measure for overcrowding. Physician factors, especially emergency medicine training, also appear to be important when using LWBS as a quality indicator.

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Year:  2005        PMID: 15741586     DOI: 10.1197/j.aem.2004.10.029

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  27 in total

1.  Measuring and forecasting emergency department crowding in real time.

Authors:  Nathan R Hoot; Chuan Zhou; Ian Jones; Dominik Aronsky
Journal:  Ann Emerg Med       Date:  2007-03-27       Impact factor: 5.721

2.  Forecasting emergency department crowding: a discrete event simulation.

Authors:  Nathan R Hoot; Larry J LeBlanc; Ian Jones; Scott R Levin; Chuan Zhou; Cynthia S Gadd; Dominik Aronsky
Journal:  Ann Emerg Med       Date:  2008-04-03       Impact factor: 5.721

Review 3.  The relationship between emergency department crowding and patient outcomes: a systematic review.

Authors:  Eileen J Carter; Stephanie M Pouch; Elaine L Larson
Journal:  J Nurs Scholarsh       Date:  2013-12-19       Impact factor: 3.176

4.  Emergency department crowding and younger age are associated with delayed corticosteroid administration to children with acute asthma.

Authors:  Arpi Bekmezian; Christopher Fee; Sona Bekmezian; Judith H Maselli; Ellen Weber
Journal:  Pediatr Emerg Care       Date:  2013-10       Impact factor: 1.454

5.  Clinical pathway improves pediatrics asthma management in the emergency department and reduces admissions.

Authors:  Arpi Bekmezian; Christopher Fee; Ellen Weber
Journal:  J Asthma       Date:  2015-05-19       Impact factor: 2.515

6.  Hospital determinants of emergency department left without being seen rates.

Authors:  Renee Y Hsia; Steven M Asch; Robert E Weiss; David Zingmond; Li-Jung Liang; Weijuan Han; Heather McCreath; Benjamin C Sun
Journal:  Ann Emerg Med       Date:  2011-02-21       Impact factor: 5.721

7.  Transient and sustained changes in operational performance, patient evaluation, and medication administration during electronic health record implementation in the emergency department.

Authors:  Michael J Ward; Craig M Froehle; Kimberly W Hart; Sean P Collins; Christopher J Lindsell
Journal:  Ann Emerg Med       Date:  2013-09-14       Impact factor: 5.721

8.  Occupancy rates and emergency department work index scores correlate with leaving without being seen.

Authors:  Erik B Kulstad; K Michael Hart; Simon Waghchoure
Journal:  West J Emerg Med       Date:  2010-09

9.  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

Review 10.  Systematic review of emergency department crowding: causes, effects, and solutions.

Authors:  Nathan R Hoot; Dominik Aronsky
Journal:  Ann Emerg Med       Date:  2008-04-23       Impact factor: 5.721

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