Measurement of Cost of Boarding in the Emergency Department Using Time-Driven Activity-Based Costing.

STUDY OBJECTIVE: Boarding admitted patients in emergency departments (EDs) is a national crisis that is worsening despite potential financial disadvantages. The objective of this study was to assess costs associated with boarding. METHODS: We conducted a prospective, observational investigation of patients admitted through an ED for management of acute stroke at a large, urban, academic, comprehensive stroke center hospital. We employed time-driven activity-based costing methodology to estimate cost for patient care activities during admission and aggregated results to estimate the total cost of boarding versus inpatient care. Primary outcomes were total daily costs per patient for medical-surgical (med/surg) boarding, med/surg inpatient care, ICU boarding, and ICU inpatient care. RESULTS: The total daily cost per patient with acute stroke was US$1856, for med/surg boarding versus US$993 for med/surg inpatient care and US$2267, for ICU boarding versus US$2165, for ICU inpatient care. These differences were even greater when accounting for costs associated with traveler nurses. ED nurses spent 293 min/d (mean) caring for each med/surg boarder; inpatient nurses spent 313 min/d for each med/surg inpatient. ED nurses spent 419 min/d caring for each ICU boarder; inpatient nurses spent 787 min/d for each ICU inpatient. Neurology attendings and residents spent 25 and 52 min/d caring for each med/surg boarder versus 62 minutes and 90 minutes for each med/surg inpatient, respectively. CONCLUSION: Using advanced cost-accounting methods, our investigation provides novel evidence that boarding of admitted patients is financially costly, adding greater urgency for elimination of this practice.

A Granular View of Emergency Department Length of Stay: Improving Predictive Power and Extracting Real-Time, Actionable Insights.

STUDY OBJECTIVE: Improved understanding of factors affecting prolonged emergency department (ED) length of stay is crucial to improving patient outcomes. Our investigation builds on prior work by considering ED length of stay in operationally distinct time periods and using benchmark and novel machine learning techniques applied only to data that would be available to ED operators in real time. METHODS: This study was a retrospective review of patient visits over 1 year at 2 urban EDs, including 1 academic and 1 academically affiliated ED, and 2 suburban, community EDs. ED length of stay was partitioned into 3 components: arrival-to-room, room-to-disposition, and admit disposition to departure. Prolonged length of stay for each component was considered beyond 1, 3, and 2 hours, respectively. Classification models (logistic regression, random forest, and XGBoost) were applied, and important features were evaluated. RESULTS: In total, 135,044 unique patient encounters were evaluated for the arrival-to-room, room-to-disposition, and admit disposition-to-departure models, which had accuracy ranges of 84% to 96%, 66% to 77%, and 62% to 72%, respectively. Waiting room and ED volumes were important features in all arrival-to-room models. Room-to-disposition results identified patient characteristics and ED volume as the most important features for prediction. Boarder volume was an important feature of the admit disposition-to-departure models for all sites. Academic site models noted nurse staffing ratios as important, whereas community site models noted hospital capacity and surgical volume as important for admit disposition-to-departure prediction. CONCLUSION: This study identified granular capacity, flow, and nurse staffing predictors of ED length of stay not previously reported in the literature. Our novel methodology allowed for more accurate and operationally meaningful findings compared to prior modeling methods.

Factors Associated with Overutilization of Computed Tomography of the Cervical Spine.

Introduction: Despite the wide availability of clinical decision rules for imaging of the cervical spine after a traumatic injury (eg, NEXUS C-spine rule and Canadian C-spine rule), there is significant overutilization of computed tomography (CT) imaging in patients who are deemed to be at low risk for a clinically significant cervical spine injury by these clinical decision rules. The purpose of this study was to identify the major factors associated with the overuse of CT cervical spine imaging using a logistic regression model. Methods: This was a retrospective review of all adult patients who underwent CT cervical spine imaging for evaluation of a traumatic injury at a tertiary academic emergency department (ED) and three affiliate community EDs in January and February 2019. We performed multivariable logistic regression to identify factors associated with obtaining CT cervical spine imaging despite low-risk classification by the NEXUS C-spine Rule. Results: A total of 1,051 patients underwent CT cervical spine imaging for traumatic indications during the study period, and 889 patients were included in the analysis. Of these patients, 376 (42.3%) were negative by the NEXUS C-spine rule. Variables that were associated with increased likelihood of unnecessary imaging included age over 65, Emergency Severity Index (ESI) score 2 and 3, arrival as a walk-in, and anticoagulation status. Patients who presented to the tertiary academic ED had a significantly lower likelihood of unnecessary imaging. Twenty-one patients (2.4%) were found to have cervical spine fractures on imaging, two of whom were negative by the NEXUS C-spine rule, but neither had a clinically significant fracture. Conclusion: Cervical spine imaging is vastly overused in patients presenting to the ED with traumatic injuries, as adjudicated using the NEXUS C-spine rule as a reference standard. Older age, ESI level, arrival as a walk-in, and taking anticoagulation drugs were associated with overutilization of CT imaging. Conversely, presenting to the tertiary academic ED was associated with a lower likelihood of undergoing unnecessary imaging. This model can guide future interventions to optimize ED CT utilization and minimize unnecessary testing.

Operations Factors Associated with Emergency Department Length of Stay: Analysis of a National Operations Database.

INTRODUCTION: Prolonged emergency department (ED) length of stay (LOS) has been shown to adversely affect patient care. We sought to determine factors associated with ED LOS via analysis of a large, national, ED operations database. METHODS: We performed retrospective, multivariable, linear regression modeling using the 2019 Emergency Department Benchmarking Alliance survey results to identify associated factors of ED LOS for admitted and discharged patients. RESULTS: A total of 1,052 general and adult-only EDs responded to the survey. Median annual volume was 40,946. The median admit and discharge LOS were 289 minutes and 147 minutes, respectively. R-squared values for the admit and discharge models were 0.63 and 0.56 with out-of-sample R-squared values of 0.54 and 0.59, respectively. Both admit and discharge LOS were associated with academic designation, trauma level designation, annual volume, proportion of ED arrivals occurring via emergency medical services, median boarding, and use of a fast track. Additionally, admit LOS was associated with transfer-out percentage, and discharge LOS was associated with percentage of high Current Procedural Terminology, percentage of patients <18 years old, use of radiographs and computed tomography, and use of an intake physician. CONCLUSION: Models derived from a large, nationally representative cohort identified diverse associated factors of ED length of stay, several of which were not previously reported. Dominant within the LOS modeling were patient population characteristics and other factors extrinsic to ED operations, including boarding of admitted patients, which was associated with both admitted and discharged LOS. The results of the modeling have significant implications for ED process improvement and appropriate benchmarking.

Estimates of throughput and utilization at freestanding compared to low-volume hospital-based emergency departments.

OBJECTIVE: Our investigation compared throughput metrics and utilization measures for freestanding emergency departments (FSEDs) versus hospital-based emergency departments (HBEDs) of similar volumes in the United States. METHODS: This study is a cross sectional survey of 183 FSEDs and 317 HBEDs located across the United States using the Emergency Department Benchmarking Alliance (EDBA) Database. We measured common emergency department (ED) throughput metrics. Primary outcomes included overall length of stay, length of stay for admitted, and length of stay for treated and released patients. Outcomes were weighted based on the proportion of ED volume per facility as per a prior pilot study. Multiple linear regression analysis was used to adjust for measured differences between FSEDs and HBEDs. The variables that were controlled for in regression analysis included geographic location of the ED (urban, suburban, and rural), percent of high acuity capacity, ED volume, percentage of patients arriving via emergency medical services (EMS), and percentage of pediatric patients. RESULTS: Nationally, the median length of stay in minutes (104.2 vs 140.0), length of stay for treated and released patients (98.6 vs 122.9), door-to-bed (4.0 vs 8.0), door-to-doctor (11.0 vs 16.0), percentage of patients admitted through the ED (4.0 vs 11.0), and percentage of patients leaving the ED without being seen (LWBS) (0.9 vs 1.5), were significantly lower at FSEDs compared to HBEDs (P < 0.0001 for all comparisons). Length of stay for admitted patients (265.9 vs 241.8) and median boarding time (96.8 vs. 71.3) were significantly lower in HBEDs compared to FSEDs. X-ray, computed tomography, and ECG utilization per 100 patients was significantly lower at the FSEDs compared to HBEDs. Multiple linear regression analysis demonstrated that the length of stay for treated and released patients was 8.67 minutes shorter for FSEDs as compared to HBEDs (95% confidence interval [CI] = -1.4 to -16.0). The length of stay for admitted patients was 44 minutes longer for FSEDs as compared to HBEDs (95% CI = 25.5 to 63.0). CONCLUSIONS: In this study of similarly sized EDs in the United States, throughput metrics for FSEDs tended to be significantly shorter from the arrival of the patient until their departure, except for patients requiring hospital admission. For measures favoring FSEDs, throughput times range from 20%-50% shorter than HBEDs.

Misdiagnosed Spontaneous Carotid Cavernous Sinus Fistula.

A 63-year-old female presented to the emergency department with worsening left-sided blurry vision and diplopia. She had previously seen several physicians and had been diagnosed with common ocular conditions - keratoconus and dry eye. However, despite treatment her symptoms were worsening. By the time her true underlying diagnosis was treated, she was left with permanent vision loss. This case report discusses the presentation, diagnosis, and treatment of her rare condition.