The Impact of Inpatient Boarding on ED Efficiency: A Discrete-Event Simulation Study

In this study, a discrete-event simulation approach was used to model Emergency Department’s (ED) patient flow to investigate the effect of inpatient boarding on the ED efficiency in terms of the National Emergency Department Crowding Scale (NEDOCS) score and the rate of patients who leave without being seen (LWBS). The decision variable in this model was the boarder-released-ratio defined as the ratio of admitted patients whose boarding time is zero to all admitted patients. Our analysis shows that the Overcrowded+ (a NEDOCS score over 100) ratio decreased from 88.4% to 50.4%, and the rate of LWBS patients decreased from 10.8% to 8.4% when the boarder-released-ratio changed from 0% to 100%. These results show that inpatient boarding significantly impacts both the NEDOCS score and the rate of LWBS patient and this analysis provides a quantification of the impact of boarding on emergency department patient crowding.

[1]  Karin V Rhodes,et al.  A conceptual model of emergency department crowding. , 2003, Annals of emergency medicine.

[2]  R. Derlet,et al.  Overcrowding in emergency departments: increased demand and decreased capacity. , 2002, Annals of emergency medicine.

[3]  Donald A Redelmeier,et al.  Emergency department gridlock and out-of-hospital delays for cardiac patients. , 2003, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[4]  Karin V Rhodes,et al.  The effect of crowding on access and quality in an academic ED. , 2006, The American journal of emergency medicine.

[5]  M. Peneder,et al.  Causes and Consequences , 1969 .

[6]  J. Twanmoh,et al.  When overcrowding paralyzes an emergency department. , 2006, Managed care.

[7]  R. W Derlet Development of an Emergency Department Overcrowding Scale: Results of the National ED Overcrowding Study (NEDOCS) , 2002 .

[8]  David J. Magid,et al.  Patients who leave a public hospital emergency department without being seen by a physician , 1992 .

[9]  I. A. Chaikovsky,et al.  Terminology for model credibility , 1979 .

[10]  Patrick M Reilly,et al.  The impact of a concurrent trauma alert evaluation on time to head computed tomography in patients with suspected stroke. , 2006, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[11]  Todd G Nick,et al.  Relationship between the National ED Overcrowding Scale and the number of patients who leave without being seen in an academic ED. , 2005, The American journal of emergency medicine.

[12]  R H Brook,et al.  Patients who leave a public hospital emergency department without being seen by a physician. Causes and consequences. , 1991, JAMA.

[13]  J. Banks,et al.  Discrete-Event System Simulation , 1995 .

[14]  Donna Kelly,et al.  Impact of rapid entry and accelerated care at triage on reducing emergency department patient wait times, lengths of stay, and rate of left without being seen. , 2005, Annals of emergency medicine.

[15]  B. R. Asplin Is This Emergency Department Crowded? A Multicenter Derivation and Evaluation of an Emergency Department Crowding Scale (EDCS) , 2004 .

[16]  R. Kravitz,et al.  Frequent overcrowding in U.S. emergency departments. , 2001, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[17]  B. R Asplin Measuring Emergency Department Crowding and Hospital Capacity , 2002 .

[18]  R. Vogel,et al.  Emergency department use by nursing home residents. , 1998, Annals of emergency medicine.

[19]  Averill Law,et al.  Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management) , 2006 .

[20]  H G Garrison,et al.  When the safety net is unsafe: real-time assessment of the overcrowded emergency department. , 2001, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[21]  Shari J. Welch,et al.  An independent evaluation of four quantitative emergency department crowding scales. , 2006, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[22]  D Tandberg,et al.  Hospital factors associated with emergency center patients leaving without being seen. , 2000, The American journal of emergency medicine.

[23]  Stephen K Epstein,et al.  Development of an emergency department work score to predict ambulance diversion. , 2006, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[24]  Steven L Bernstein,et al.  Development and validation of a new index to measure emergency department crowding. , 2003, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[25]  P. Sprivulis,et al.  Access block causes emergency department overcrowding and ambulance diversion in Perth, Western Australia , 2005, Emergency Medicine Journal.

[26]  Cherri Hobgood,et al.  Impact of critical bed status on emergency department patient flow and overcrowding. , 2003, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[27]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[28]  D. Aronsky,et al.  Measuring and forecasting emergency department crowding in real time. , 2007, Annals of emergency medicine.

[29]  D. Aronsky,et al.  Systematic review of emergency department crowding: causes, effects, and solutions. , 2008, Annals of emergency medicine.

[30]  Donald A Redelmeier,et al.  Emergency department overcrowding and ambulance transport delays for patients with chest pain. , 2003, CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne.

[31]  Lawrence M Lewis,et al.  Emergency department overcrowding: analysis of the factors of renege rate. , 2007, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[32]  Marian Vermeulen,et al.  Emergency department crowding and thrombolysis delays in acute myocardial infarction. , 2004, Annals of emergency medicine.

[33]  George P. Richardson Introduction to System Dynamics Modeling , 1981 .

[34]  Herbert G Garrison,et al.  The overcrowded emergency department: a comparison of staff perceptions. , 2003, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[35]  Mark S Roberts,et al.  Increasing the Efficiency of Monte Carlo Cohort Simulations with Variance Reduction Techniques , 2006, Medical decision making : an international journal of the Society for Medical Decision Making.

[36]  Todd G Nick,et al.  Comparison of the National Emergency Department Overcrowding Scale and the Emergency Department Work Index for quantifying emergency department crowding. , 2006, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[37]  Todd G Nick,et al.  Estimating the degree of emergency department overcrowding in academic medical centers: results of the National ED Overcrowding Study (NEDOCS). , 2004, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[38]  Gunnar Abrahamson,et al.  Terminology for model credibility , 1980 .

[39]  S. Schneider,et al.  Rochester, New York: a decade of emergency department overcrowding. , 2001, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[40]  J. Richards,et al.  Overcrowding in the nation's emergency departments: complex causes and disturbing effects. , 2000, Annals of emergency medicine.

[41]  Rhonda J Rosychuk,et al.  Characteristics of patients who leave emergency departments without being seen. , 2006, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.