Emilie S. Powell

Adding more beds to the emergency department or reducing admitted patient boarding times: which has a more significant influence on emergency department congestion?

STUDY OBJECTIVE We evaluate a computer simulation model designed to assess the effect on emergency department (ED) length of stay of varying the number of ED beds or altering the interval of admitted patient departure from the ED. METHODS We created a computer simulation model (Med Model) based on institutional data and augmented by expert estimates and assumptions. We evaluated simulations of increasing the number of ED beds, increasing the admitted patient departure and increasing ED census, analyzing potential effects on overall ED length of stay. Multiple sensitivity analyses tested the robustness of the results to changes in model assumptions and institutional data. RESULTS With a constant ED departure rate at the base case and increasing ED beds, there is an increase in mean length of stay from 240 to 247 minutes (95% confidence interval [CI] 0.8 to 12.6 minutes). When keeping the number of beds constant at the base case and increasing the rate at which admitted patients depart the ED to their inpatient bed, the mean overall ED length of stay decreases from 240 to 218 minutes (95% CI 16.8 to 26.2 minutes). With a 15% increase in daily census, the trends are similar to the base case results. The sensitivity analyses reveal that despite a wide range of inputs, there are no differences from the base case. CONCLUSION Our computer simulation modeled that improving the rate at which admitted patients depart the ED produced an improvement in overall ED length of stay, whereas increasing the number of ED beds did not.

The relationship between inpatient discharge timing and emergency department boarding

BACKGROUND Patient crowding and boarding in Emergency Departments (EDs) impair the quality of care as well as patient safety and satisfaction. Improved timing of inpatient discharges could positively affect ED boarding, and this hypothesis can be tested with computer modeling. STUDY OBJECTIVE Modeling enables analysis of the impact of inpatient discharge timing on ED boarding. Three policies were tested: a sensitivity analysis on shifting the timing of current discharge practices earlier; discharging 75% of inpatients by 12:00 noon; and discharging all inpatients between 8:00 a.m. and 4:00 p.m. METHODS A cross-sectional computer modeling analysis was conducted of inpatient admissions and discharges on weekdays in September 2007. A model of patient flow streams into and out of inpatient beds with an output of ED admitted patient boarding hours was created to analyze the three policies. RESULTS A mean of 38.8 ED patients, 22.7 surgical patients, and 19.5 intensive care unit transfers were admitted to inpatient beds, and 81.1 inpatients were discharged daily on September 2007 weekdays: 70.5%, 85.6%, 82.8%, and 88.0%, respectively, occurred between noon and midnight. In the model base case, total daily admitted patient boarding hours were 77.0 per day; the sensitivity analysis showed that shifting the peak inpatient discharge time 4h earlier eliminated ED boarding, and discharging 75% of inpatients by noon and discharging all inpatients between 8:00 a.m. and 4:00 p.m. both decreased boarding hours to 3.0. CONCLUSION Timing of inpatient discharges had an impact on the need to board admitted patients. This model demonstrates the potential to reduce or eliminate ED boarding by improving inpatient discharge timing in anticipation of the daily surge in ED demand for inpatient beds.

Pancreatic Fistula Following Pancreaticoduodenectomy: Clinical Predictors and Patient Outcomes

Pancreatic fistula continues to be a common complication following PD. This study seeks to identify clinical factors which may predict pancreatic fistula (PF) and evaluate the effect of PF on outcomes following pancreaticoduodenectomy (PD). We performed a retrospective analysis of a clinical database at an academic tertiary care hospital with a high volume of pancreatic surgery. Five hundred ten consecutive patients underwent PD, and PF occurred in 46 patients (9%). Perioperative mortality of patients with PF was 0%. Forty-five of 46 PF (98%) closed without reoperation with a mean time to closure of 34 days. Patients who developed PF showed a higher incidence of wound infection, intra-abdominal abscess, need for reoperation, and hospital length of stay. Multivariate analysis demonstrated an invaginated pancreatic anastomosis and closed suction intraperitoneal drainage were associated with PF whereas a diagnosis of chronic pancreatitis and endoscopic stenting conferred protection. Development of PF following PD in this series was predicted by gender, preoperative stenting, pancreatic anastomotic technique, and pancreas pathology. Outcomes in patients with PF are remarkable for a higher rate of septic complications, longer hospital stays, but in this study, no increased mortality.

Volume of emergency department admissions for sepsis is related to inpatient mortality: Results of a nationwide cross-sectional analysis

Objectives:Emergency department resuscitation plays a significant role in sepsis care, and it is unknown if patient outcomes vary by institution based on the level of sepsis experience of the emergency department. This study examines whether there is an association between the annual volume of patients admitted via the emergency department with sepsis and inpatient mortality. Design:Cross-sectional analysis of the 2007 Nationwide Inpatient Sample. Setting and Patients:We included 87,166 adult emergency department sepsis admissions from 551 hospitals. Measurements:Hospitals were categorized into quartiles by 2007 emergency department sepsis volume. Univariate associations of patient characteristics, hospital characteristics, and inpatient mortality with sepsis volume level were evaluated by chi-square test. A population-averaged logistic regression model of inpatient mortality was used to estimate the effects of age, gender, comorbid conditions, payer status, median zip code income, hospital bed size, teaching status, and emergency department sepsis volume. Main Results:Overall inpatient sepsis mortality was 18.0% and early mortality (2 days after admission) was 6.9%. The risk-adjusted odds ratios of mortality were 0.73 (95% confidence interval, 0.64–0.83; p < .001) in quartile 4 (highest volume), 0.83 in quartile 3 (95% confidence interval, 0.74–0.93; p = .001), and 0.90 in quartile 2 (95% confidence interval, 0.82–0.99; p < .05) when compared to quartile 1 (lowest volume). Adjusted results were similar for early mortality: 0.69 (95% confidence interval, 0.61–0.76; p < .001) in quartile 4, 0.83 in quartile 3 (95% confidence interval, 0.74–0.93; p < .05), and 0.85 in quartile 2 (95% confidence interval, 0.77–0.94; p < .05) when compared to quartile 1. Conclusions:After adjustment for comorbidity and hospital-level factors, there was a significant relationship between emergency department sepsis case volume and overall and early inpatient mortality among patients admitted through the emergency department with sepsis. Patients admitted to hospitals in the highest-volume quartile had 27% lower odds of inpatient mortality in this large heterogeneous sample.

Lower mortality in sepsis patients admitted through the ED vs direct admission.

PURPOSE Early aggressive resuscitation in patients with severe sepsis decreases mortality but requires extensive time and resources. This study analyzes if patients with sepsis admitted through the emergency department (ED) have lower inpatient mortality than do patients admitted directly to the hospital. PROCEDURES We performed a cross-sectional analysis of hospitalizations with a principal diagnosis of sepsis in institutions with an annual minimum of 25 ED and 25 direct admissions for sepsis, using data from the 2008 Nationwide Inpatient Sample. Analyses were controlled for patient and hospital characteristics and examined the likelihood of either early (2-day postadmission) or overall inpatient mortality. FINDINGS Of 98,896 hospitalizations with a principal diagnosis of sepsis, from 290 hospitals, 80,301 were admitted through the ED and 18,595 directly to the hospital. Overall sepsis inpatient mortality was 17.1% for ED admissions and 19.7% for direct admissions (P<.001). Overall early sepsis mortality was 6.9%: 6.8% for ED admissions and 7.4% for direct admissions (P=.005). Emergency department patients had a greater proportion of comorbid conditions, were more likely to have Medicaid or be uninsured (12.5% vs 8.4%; P<.001), and were more likely to be admitted to urban, large bed-size, or teaching hospitals (P<.001). The risk-adjusted odds ratio for overall mortality for ED admissions was 0.83 (95% confidence interval, 0.80-0.87) and 0.92 for early mortality (95% confidence interval, 0.86-0.98), as compared with direct admissions to the hospital. CONCLUSION Admission for sepsis through the ED was associated with lower early and overall inpatient mortality in this large national sample.

Diagnostic uncertainty and costs associated with current emergency department evaluation of low risk chest pain.

INTRODUCTION Of all stress tests done in low risk Emergency Department observation units (OU), a small, but significant number may be reported as positive or indeterminate. The objective of this study is to quantify the prevalence and costs associated with positive and indeterminate stress tests that result in negative cardiac catheterization. METHODS Retrospective observational cohort study over 9 months. All patients undergoing the chest pain protocol who got cardiac stress testing in the OU were eligible for inclusion. Cost data were derived from an institutional activity-based cost system utilizing actual costs. Chart review was completed on all patients with positive and indeterminate stress tests and a randomly chosen sample of those with negative stress tests. RESULTS Of the 1194 patients who met the inclusion criteria, 1084 (90.8%) had a negative stress test. Sixty-two (5.2%) had a positive stress test, and 48 (4.0%) had an indeterminate stress test. Of all 59 patients who underwent catheterization, 41 (69.5%) were negative cardiac catheterizations. The prevalence among all OU stress test patients of positive or indeterminate stress tests with subsequent negative cardiac catheterization was 41/1194 (3.4%; 95% CI 2.5%-4.6%). The prevalence of significant coronary artery disease at cardiac catheterization was 18/1194 (1.5%; 95% CI 1.0%-2.4%). Patients with a positive or indeterminate stress test who had a negative catheterization incurred increased OU costs (

Time to antibiotics for septic shock: evaluating a proposed performance measure

1385 vs.

The weekend effect for patients with sepsis presenting to the emergency department

1,039, P = 0.012), total costs (

Is Emergency Department Quality Related to Other Hospital Quality Domains

7298 vs.

Characterizing Teamwork in Cardiovascular Care Outcomes: A Network Analytics Approach

1562, P < 0.001) and length of inpatient stay (1.83 days vs. 0.00 days) when compared with those who had a negative stress test. CONCLUSION The probability of going to the OU and having a positive or indeterminate stress test resulting in a subsequent negative catheterization was double the probability of having a stress test result in catheterization that detected significant coronary artery disease. These patients incurred 5 times the total cost when compared with those patients with negative stress testing. Further investigation is warranted to determine alternative risk stratification methods for these low risk chest pain patients with positive stress tests.