TY - JOUR
T1 - Development of amodel tomeasure emergency department staffing limitations
AU - Michelson, Kenneth A.
AU - Stack, Anne M.
AU - Bachur, Richard G.
N1 - Publisher Copyright:
© 2016 Wolters Kluwer Health, Inc.
PY - 2016
Y1 - 2016
N2 - Background: The optimal staffing model for emergency departments (EDs) is not known. Improving staffing could lead tomore timely, efficient, and effective care. We created a model of staffing to identify times of staffing limitation by provider type. Methods: 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 thewaiting roomwithwait times > 30minutes and . 80% ED bed occupancy), nurse limited (.2 patients in the waiting room with wait times > 30 min and < 80% ED bed occupancy), or physician limited (.2 patients in examination rooms who have waited > 30 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. Results: The EDwas 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. Conclusions: 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.
AB - Background: The optimal staffing model for emergency departments (EDs) is not known. Improving staffing could lead tomore timely, efficient, and effective care. We created a model of staffing to identify times of staffing limitation by provider type. Methods: 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 thewaiting roomwithwait times > 30minutes and . 80% ED bed occupancy), nurse limited (.2 patients in the waiting room with wait times > 30 min and < 80% ED bed occupancy), or physician limited (.2 patients in examination rooms who have waited > 30 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. Results: The EDwas 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. Conclusions: 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.
KW - Crowding
KW - Operations
KW - Staffing models
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U2 - 10.1097/PEC.0000000000000892
DO - 10.1097/PEC.0000000000000892
M3 - Article
C2 - 27585125
AN - SCOPUS:84987888644
SN - 0749-5161
VL - 32
SP - 599
EP - 602
JO - Pediatric emergency care
JF - Pediatric emergency care
IS - 9
ER -