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Development of a Model to Measure Emergency Department Staffing Limitations

Authors :
Richard G. Bachur
Anne M. Stack
Kenneth A. Michelson
Source :
Pediatric Emergency Care. 32:599-602
Publication Year :
2016
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2016.

Abstract

The optimal staffing model for emergency departments (EDs) is not known. Improving staffing could lead to more timely, efficient, and effective care. We created a model of staffing to identify times of staffing limitation by provider type.We analyzed data from an academic pediatric ED with 60,000 visits per year. Each 10-minute interval from January 1, 2011, through December 31, 2012, was categorized as nonlimited (no staffing limitation), space limited (≥2 patients in the waiting room with wait times30 minutes and ≥ 80% ED bed occupancy), nurse limited (≥2 patients in the waiting room with wait times30 min and80% ED bed occupancy), or physician limited (≥2 patients in examination rooms who have waited30 minutes for a physician) using computer modeling. We calculated the percentage of time each type of limitation was in effect and the median lengths of stay for patients presenting during times of each category of limitation.The ED was space limited 5.0% of the time, nurse limited 16.1% of the time, and physician limited 0.1% of the time. In nonlimited times, length of stay was 201 minutes (interquartile range, 128-301), whereas patients presenting during space-limited, nurse-limited, and physician-limited times had statistically significantly higher LOS of 265 (187-360), 244 (169-337), and 247 (174-334) minutes, respectively.Times identified as space and staffing limited were associated with longer LOS. This computer model could be used to rapidly identify targeted staffing needs and then measure the effect of modifying staffing.

Details

ISSN :
07495161
Volume :
32
Database :
OpenAIRE
Journal :
Pediatric Emergency Care
Accession number :
edsair.doi.dedup.....62cbadd7075db8ef518f1c74839c15b7
Full Text :
https://doi.org/10.1097/pec.0000000000000892