Higher Inpatient Medical Surgical Bed Occupancy Extends Admitted Patients’ Stay

Objective: Determine the effect that increased medical surgical (med/surg) bed occupancy has on the time interval from admission order to arrival in the bed for the patients admitted from the emergency department (ED). Methods: This retrospective observational study compares the total hospital bed occupancy rate and the medical surgical inpatient bed occupancy rate to daily averages for the time interval from admission order (patient posting for admission) to the patient’s arrival in the inpatient bed. Medical surgical inpatient bed occupancy of 92% was chosen because beyond that rate we observed more frequent extended daily transfer times. The data is from a single large tertiary care institute with 590 beds and an annual ED census of 80,000. Results: Group 1 includes 38 days with (med/surg) inpatient bed occupancy rate of less than 92%, with an average ED daily wait of 2.5 hrs (95% confidence interval 2.23–2.96) for transfer from the ED to the appropriate hospital bed. Group 2 includes 68 days with med/surg census greater than 92% with an average ED daily wait of 4.1 hours (95% confidence interval 3.7–4.5). Minimum daily average for the two groups was 1.2 hrs and 1.3 hrs, respectively. The maximum average was 5.6 hrs for group 1 and 8.6 hrs for group 2. Comparison of group 1 to 2 for wait time to hospital bed yielded p <0.01. Total reported hospital occupied capacity shows a correlation coefficient of 0.16 to transfer time interval, which indicates a weak relationship between total occupancy and transfer time into the hospital. Med/surg occupancy, the beds typically used by ED patients, has a 0.62 correlation coefficient for a moderately strong relationship. Conclusions: Med/surg bed occupancy has a better correlation to extended transfer times, and occupancy over 92% at 5 AM in our institution corresponds to an increased frequency of extended transfer times from the ED. The process of ED evaluation, hospital admission, and subsequent transfer into the hospital are all complex processes. This study begins to demonstrate one variable, med/surg occupancy, as one of the intervals that can be followed to evaluate the process of ED admission and hospital flow.

[1]  D. Houry,et al.  Does sharing process differences reduce patient length of stay in the emergency department? , 2001, Annals of emergency medicine.

[2]  S. Asch,et al.  Trends in the use and capacity of California's emergency departments, 1990-1999. , 2002, Annals of emergency medicine.

[3]  J. Richards,et al.  Survey of directors of emergency departments in California on overcrowding. , 2000, The Western journal of medicine.

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

[5]  D A Redelmeier,et al.  Emergency department overcrowding following systematic hospital restructuring: trends at twenty hospitals over ten years. , 2001, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[6]  D. Kyriacou,et al.  A 5-year time study analysis of emergency department patient care efficiency. , 1999, Annals of emergency medicine.

[7]  L. Green,et al.  Strategies for cutting hospital beds: the impact on patient service. , 2001, Health services research.

[8]  P. Sprivulis,et al.  Reliability of the National Triage Scale with changes in emergency department activity level , 2009 .

[9]  J. Posnett,et al.  Dynamics of bed use in accommodating emergency admissions: stochastic simulation model , 1999, BMJ.

[10]  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.

[11]  N Shute,et al.  Code blue crisis in the ER. Turning away patients. Long delays. A surefire recipe for disaster. , 2001, U.S. news & world report.