Managing and Measuring Emergency Department Care: Results of the Fourth Emergency Department Benchmarking Definitions Summit

Effects of opening a vertical care area on emergency medicine resident clinical experience

Background

Challenging clinical environments faced by emergency departments (EDs) have led to operational changes including implementation of vertical care units and fast-track units. Little is known regarding the impact of such units on resident physician clinical education.

Methods

A retrospective, observational study was performed at an urban quaternary care ED evaluating the effect of opening a vertical care unit with a triage physician directing lower acuity patients to be seen by physician associates (PAs)/advanced practice registered nurses (APRNs) on the following parameters: (1) percentage of patients seen by residents, (2) Emergency Severity Index (ESI) of patients seen by residents, (3) number of procedures performed by residents, (4) number of patients per shift seen by residents, (5) percentage of critical care patients seen by residents, and (6) percentage of behavioral health patients seen by residents.

Results

Comparing the implementation of the vertical care unit to the prior 3 months, postgraduate year (PGY)-1 residents had greater exposure to ESI Levels 1 and 2 (odds ratio [OR] 2.15) and more critical care (OR 2.58). PGY-2 and PGY-3 residents had a lower exposure to ESI 1 and 2 patients (PGY-2 OR 0.63, PGY-3 OR 0.61) and less critical care exposure (OR 0.64 for PGY-2 and OR 0.62 for PGY-3) after implementation. PGY-1 residents saw fewer behavioral health patients (OR 0.65) while the other two classes saw more (PGY-2 OR 1.64, PGY-3 OR 2.74). ESI 4 and 5 exposure decreased for all classes (PGY-1 OR 0.15, PGY-2 OR 0.86, PGY-3 OR 0.72). No significant difference was found in the proportion of patients treated by residents (p = 0.85) or the number of procedures performed by residents (p = 0.25) comparing the implementation of a vertical care unit to the prior 3 months.

Conclusions

This study suggests no detrimental effects of vertical care unit implementation on multiple resident education outcomes including the number and acuity level of patients seen as well as procedure numbers of resident trainees. While the outcomes measured did not show significant negative effect for the resident compliment as a whole, we noted changes to the distribution of patient acuity based on PGY level. Similar assessments are recommended to determine the educational impact of comparable operational changes in other EDs.

Influence of time-to-diagnosis on time-to-percutaneous coronary intervention for emergency department ST-elevation myocardial infarction patients: Time-to-electrocardiogram matters

Objectives

Earlier electrocardiogram (ECG) acquisition for ST-elevation myocardial infarction (STEMI) is associated with earlier percutaneous coronary intervention (PCI) and better patient outcomes. However, the exact relationship between timely ECG and timely PCI is unclear.

Methods

We quantified the influence of door-to-ECG (D2E) time on ECG-to-PCI balloon (E2B) intervention in this three-year retrospective cohort study, including patients from 10 geographically diverse emergency departments (EDs) co-located with a PCI center. The study included 576 STEMI patients excluding those with a screening ECG before ED arrival or non-diagnostic initial ED ECG. We used a linear mixed-effects model to evaluate D2E's influence on E2B with piecewise linear terms for D2E times associated with time intervals designated as ED intake (0-10 min), triage (11-30 min), and main ED (>30 min). We adjusted for demographic and visit characteristics, past medical history, and included ED location as a random effect.

Results

The median E2B interval was longer (76 vs 68 min, p < 0.001) in patients with D2E >10 min than in those with timely D2E. The proportion of patients identified at the intake, triage, and main ED intervals was 65.8%, 24.9%, and 9.7%, respectively. The D2E and E2B association was statistically significant in the triage phase, where a 1-minute change in D2E was associated with a 1.24-minute change in E2B (95% confidence interval [CI]: 0.44-2.05, p = 0.003).

Conclusion

Reducing D2E is associated with a shorter E2B. Targeting D2E reduction in patients currently diagnosed during triage (11-30 min) may be the greatest opportunity to improve D2B and could enable 24.9% more ED STEMI patients to achieve timely D2E.

Extremes of Emergency Department Boarding are Associated With Poorer Financial Performance Among Hospitals

GOAL

Boarding emergency department (ED) patients is associated with reductions in quality of care, patient safety and experience, and ED operational efficiency. However, ED boarding is ultimately reflective of inefficiencies in hospital capacity management. The ability of a hospital to accommodate variability in patient flow presumably affects its financial performance, but this relationship is not well studied. We investigated the relationship between ED boarding and hospital financial performance measures. Our objective was to see if there was an association between key financial measures of business performance and limitations in patient progression efficiency, as evidenced by ED boarding.

METHODS

Cross-sectional ED operational data were collected from the Emergency Department Benchmarking Alliance, a voluntarily self-reporting operational database that includes 54% of EDs in the United States. Freestanding EDs, pediatric EDs and EDs with missing boarding data were excluded. The key operational outcome variable was boarding time. We reviewed the financial information of these nonprofit institutions by accessing their Internal Revenue Service Form 990. We examined standard measures of financial performance, including return on equity, total margin, total asset turnover, and equity multiplier (EM). We studied these associations using quantile regressions of added ED volume, ED admission percentage, urban versus nonurban ED site location, trauma status, and percentage of the population receiving Medicare and Medicaid as covariates in the regression models.

PRINCIPAL FINDINGS

Operational data were available for 892 EDs from 31 states. Of those, 127 reported a Form 990 in the year corresponding to the ED boarding measures. Median boarding time across EDs was 148 min (interquartile range [IQR]: 100-216). A significant relationship exists between boarding and the EM, along with a negative association with the hospital's total profit margin in the highest-performing hospitals (by profit margin percentage). After adjusting for the covariates in the regression model, we found that for every 10 min above 90 min of boarding, the mean EM for the top quartile increased from 245.8% to 249.5% (p < .001). In hospitals in the top 90th percentile of total margin, every 10 min beyond the median ED boarding interval led to a decrease in total margin of 0.24%.

PRACTICAL APPLICATIONS

Using the largest available national registry of ED operational data and concordant nonprofit financial reports, higher boarding among the highest-profitability hospitals (i.e., top 10%) is associated with a drag on profit margin, while hospitals with the highest boarding are associated with the highest leverage (i.e., indicated by the EM). These relationships suggest an association between a key ED indicator of hospital capacity management and overall institutional financial performance.

Impact of emergency department length of stay on in-hospital mortality: a retrospective cohort study

BACKGROUND AND IMPORTANCE

Emergency Department (ED) workload may lead to ED crowding and increased ED length of stay (LOS). ED crowding has been shown to be associated with adverse events and increasing mortality. We hypothesised that ED-LOS is associated with mortality.

OBJECTIVE

To study the relationship between ED-LOS and in-hospital mortality.

DESIGN

Observational retrospective cohort study.

SETTINGS AND PARTICIPANTS

From 1 January 2015 to 30 September 2018, all visits by patients aged 15 or older to one of the two ED at Toulouse University Hospital were screened. Patients admitted to the hospital after ED visits were included. Visits followed by ED discharge, in-ED death or transfer to ICU or another hospital were not included.

OUTCOME MEASURE AND ANALYSIS

The primary outcome was 30-day in-hospital mortality. ED-LOS was defined as time from ED registration to inpatient admission. ED-LOS was categorised according to quartiles [<303 min (Q1), between 303 and 433 minutes (Q2), between 434 and 612 minutes (Q3) and >612 min (Q4)]. A multivariable logistic regression tested the association between ED-LOS and in-hospital mortality.

MAIN RESULTS

A total of 49 913 patients were admitted to our hospital after ED visits and included in the study. ED-LOS was not independently associated with in-hospital mortality. Compared to ED-LOS < 303 min (Q1, reference), odd-ratios (OR) [95% CI] of in-hospital mortality for Q2, Q3, and Q4 were respectively 0.872 [0.747-1.017], 0.906 [0.777-1.056], and 1.137 [0.985-1.312]. Factors associated to in-hospital mortality were: aged over 75 years (OR [95% CI] = 4.3 [3.8-4.9]), Charlson Comorbidity Index score > 1 (OR [95% CI] = 1.3 [1.1-1.5], and 2.2 [1.9-2.5] for scores 2 and ≥ 3 respectively), high acuity at triage (OR [95% CI] = 3.9 [3.5-4.4]), ED visit at Hospital 1 (OR [95% CI] = 1.6 [1.4-1.7]), and illness diagnosis compared to trauma (OR [95% CI] = 2.1 [1.7-2.6]). Night-time arrival was associated with decreased in-hospital mortality (OR [95% CI] = 0.852 [0.767-0.947]).

CONCLUSION

In this retrospective cohort study, there was no independent association between ED-LOS before admission to general non-ICU wards and in-patient mortality.

Inequities among patient placement in emergency department hallway treatment spaces

BACKGROUND

Limited capacity in the emergency department (ED) secondary to boarding and crowding has resulted in patients receiving care in hallways to provide access to timely evaluation and treatment. However, there are concerns raised by physicians and patients regarding a decrease in patient centered care and quality resulting from hallway care. We sought to explore social risk factors associated with hallway placement and operational outcomes.

STUDY DESIGN/METHODS

Observational study between July 2017 and February 2020. Primary outcome was the adjusted odds ratio (aOR) of patient placement in a hallway treatment space adjusting for patient demographics and ED operational factors. Secondary outcomes included left without being seen (LWBS), discharge against medical advice (AMA), elopement, 72-h ED revisit, 10-day ED revisit and escalation of care during boarding.

RESULTS

Among 361,377 ED visits, 100,079 (27.7%) visits were assigned to hallway beds. Patient insurance coverage (Medicaid (aOR 1.04, 95% CI 1.01,1.06) and Self-pay/Other (1.08, (1.03, 1.13))) with comparison to private insurance, and patient sex (Male (1.08, (1.06, 1.10))) with comparison to female sex are associated with higher odds of hallway placement but patient age, race, and language were not. These associations are adjusted for ED census, triage assigned severity, ED staffing, boarding level, and time effect, with social factors mutually adjusted. Additionally adjusting for patients' social factors, patients placed in hallways had higher odds of elopement (1.23 (1.07,1.41)), 72-h ED revisit (1.33 (1.08, 1.64)) and 10-day ED revisit (1.23 (1.11, 1.36)) comparing with patients placed in regular ED rooms. We did not find statistically significant associations between hallway placement and LWBS, discharge AMA, or escalation of care.

CONCLUSION

While hallway usage is ad hoc, we find consistent differences in care delivery with those insured by Medicaid and self-pay or male sex being placed in hallway beds. Further work should examine how new front-end processes such as provider in triage or split flow may be associated with inequities in patient access to emergency and hospital care.

Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study

Background

Recently, crowding in emergency departments (EDs) has become a recognised critical factor impacting global public healthcare, resulting from both the rising supply/demand mismatch in medical services and the paucity of hospital beds available in inpatients units and EDs. The length of stay in the ED (ED-LOS) has been found to be a significant indicator of ED bottlenecks. The time a patient spends in the ED is quantified by measuring the ED-LOS, which can be influenced by inefficient care processes and results in increased mortality and health expenditure. Therefore, it is critical to understand the major factors influencing the ED-LOS through forecasting tools enabling early improvements.

Methods

The purpose of this work is to use a limited set of features impacting ED-LOS, both related to patient characteristics and to ED workflow, to predict it. Different factors were chosen (age, gender, triage level, time of admission, arrival mode) and analysed. Then, machine learning (ML) algorithms were employed to foresee ED-LOS. ML procedures were implemented taking into consideration a dataset of patients obtained from the ED database of the "San Giovanni di Dio e Ruggi d'Aragona" University Hospital (Salerno, Italy) from the period 2014-2019.

Results

For the years considered, 496,172 admissions were evaluated and 143,641 of them (28.9%) revealed a prolonged ED-LOS. Considering the complete data (48.1% female vs. 51.9% male), 51.7% patients with prolonged ED-LOS were male and 47.3% were female. Regarding the age groups, the patients that were most affected by prolonged ED-LOS were over 64 years. The evaluation metrics of Random Forest algorithm proved to be the best; indeed, it achieved the highest accuracy (74.8%), precision (72.8%), and recall (74.8%) in predicting ED-LOS.

Conclusions

Different variables, referring to patients' personal and clinical attributes and to the ED process, have a direct impact on the value of ED-LOS. The suggested prediction model has encouraging results; thus, it may be applied to anticipate and manage ED-LOS, preventing crowding and optimising effectiveness and efficiency of the ED.

An Outcome Comparison Between Geriatric and Nongeriatric Emergency Departments

STUDY OBJECTIVE

We sought to describe diagnosis rates and compare common process outcomes between geriatric emergency departments (EDs) and nongeriatric EDs participating in the American College of Emergency Physicians Clinical Emergency Data Registry (CEDR).

METHODS

We conducted an observational study of ED visits in calendar year 2021 within the CEDR by older adults. The analytic sample included 6,444,110 visits at 38 geriatric EDs and 152 matched nongeriatric EDs, with the geriatric ED status determined based on linkage to the American College of Emergency Physicians' Geriatric ED Accreditation program. Stratified by age, we assessed diagnosis rates (X/1000) for 4 common geriatric syndrome conditions and a set of common process outcomes including the ED length of stay, discharge rates, and 72-hour revisit rates.

RESULTS

Across all age categories, geriatric EDs had higher diagnosis rates than nongeriatric EDs for 3 of the 4 following geriatric syndrome conditions of interest: urinary tract infection, dementia, and delirium/altered mental status. The median ED site-level length of stay for older adults was lower at geriatric EDs compared with that at nongeriatric EDs, whereas 72-hour revisit rates were similar across all age categories. Geriatric EDs exhibited a median discharge rate of 67.5% for adults aged 65 to 74 years, 60.8% for adults aged 75 to 84 years, and 55.6% for adults aged >85 years. Comparatively, the median discharge rate at nongeriatric ED sites was 69.0% for adults aged 65 to 74 years, 64.2% for adults aged 75 to 84 years, and 61.3% for adults aged >85 years.

CONCLUSION

Geriatric EDs had higher geriatric syndrome diagnosis rates, lower ED lengths of stay, and similar discharge and 72-hour revisit rates when compared with nongeriatric EDs in the CEDR. These findings provide the first benchmarks for emergency care process outcomes in geriatric EDs compared with nongeriatric EDs.

Reducing Emergency Department Length of Stay in Critically Injured Pediatric Trauma Patients: A Quality Improvement Initiative

BACKGROUND

Efficient transfer of adult trauma patients to the intensive care unit (ICU) is associated with decreased emergency department (ED) length of stay (ED LOS) and improved patient outcomes. While well studied in adults, quality improvement (QI) initiatives focused on the rapid transfer of pediatric trauma patients are lacking. We report the effect of institutional system changes directed at expediting the transfer of pediatric trauma patients to the pediatric ICU (PICU).

METHODS

This initiative commenced in 2013. Preliminary data regarding ED LOS for pediatric trauma patients were collected from January through December 2012 as the pre-implementation cohort. Using the plan-do-study-act (PDSA) framework of QI, the first PDSA cycle was implemented in January 2013. In subsequent PDSA cycles, we implemented the mandatory attendance of the PICU charge nurse and the PICU attending physician to all highest-level pediatric trauma activations. Throughout, ED LOS was collected and mapped on a run chart. ED LOS and variance were compared between all cycles of implementation.

RESULTS

One hundred and fifty-one pediatric patients arrived or were upgraded to the highest-level pediatric trauma activation and admitted to the PICU from 2012 through 2019. We observed a decrease in median ED LOS of 105 minutes between the pre- and post-implementation groups. With each PDSA cycle, we observed a decrease in median ED LOS and variation.

CONCLUSION

The inclusion of the PICU charge nurse and attending physician at highest-level pediatric trauma activations facilitated more rapid access to the PICU with decreased ED LOS.

Acute abdominal pain at referral emergency departments: an analysis of performance of three time-dependent quality indicators

BACKGROUND

Abdominal pain is one of the most frequent causes for emergency department (ED) visits. The quality of care and outcomes are determined by time-dependent interventions with barriers to implementation at crowded EDs.

OBJECTIVES

The study aimed to analyze three prominent quality indicators (QI) including pain assessment (QI1), analgesia in patients reporting severe pain (QI2), and ED length of stay (LOS) (QI3) in adult patients requiring immediate or urgent care due to acute abdominal pain. We aimed to characterize current practice regarding pain management, and we hypothesized that extended ED LOS (≥ 360 min) is associated with poor outcomes in this cohort of ED referrals.

METHODS

This is a retrospective cohort study enrolling all patients with acute abdominal pain as the main cause of ED presentation, triage category red, orange, or yellow, and age ≥ 30 years during two months period. Univariate and multivariable analyses were deployed to determine independent risk factors for QIs performance. For QI1 and QI2, compliance with the QIs were analyzed, while 30-day mortality was set as primary outcome for QI3.

RESULTS

Overall, 965 patients were analyzed including 501 (52%) males with a mean age of 61.8 years. Seventeen percent (167/965) of the patients had immediate or very urgent triage category. Age ≥ 65 years, and red and orange triage categories were risk factors for non-compliance with pain assessment. Seventy four per cent of patients with severe pain (numeric rating scale ≥ 7) received analgesia during the ED visit, in median within 64 min (IQR 35-105 min). Age ≥ 65 years and need for surgical consultation were risk factors for prolonged ED stay. After adjustment to age, gender and triage category, ED LOS ≥ 360 min proved to be independent risk factor for 30-day mortality (HR 1.89, 95% CI 1.71-3.40, p = 0.034).

CONCLUSION

Our investigation identified that non-compliance with pain assessment, analgesia and ED length of stay among patients presenting with abdominal pain to ED results in poor quality of care and detrimental outcomes. Our data support enhanced quality-assessment initiatives for this subset of ED patients.

Beyond chest pain: Incremental value of other variables to identify patients for an early ECG

BACKGROUND

Chest pain (CP) is the hallmark symptom for acute coronary syndrome (ACS) but is not reported in 20-30% of patients, especially women, elderly, non-white patients, presenting to the emergency department (ED) with an ST-segment elevation myocardial infarction (STEMI).

METHODS

We used a retrospective 5-year adult ED sample of 279,132 patients to explore using CP alone to predict ACS, then we incrementally added other ACS chief complaints, age, and sex in a series of multivariable logistic regression models. We evaluated each model's identification of ACS and STEMI.

RESULTS

Using CP alone would recommend ECGs for 8% of patients (sensitivity, 61%; specificity, 92%) but missed 28.4% of STEMIs. The model with all variables identified ECGs for 22% of patients (sensitivity, 82%; specificity, 78%) but missed 14.7% of STEMIs. The model with CP and other ACS chief complaints had the highest sensitivity (93%) and specificity (55%), identified 45.1% of patients for ECG, and only missed 4.4% of STEMIs.

CONCLUSION

CP alone had highest specificity but lacked sensitivity. Adding other ACS chief complaints increased sensitivity but identified 2.2-fold more patients for ECGs. Achieving an ECG in 10 min for patients with ACS to identify all STEMIs will be challenging without introducing more complex risk calculation into clinical care.

Level-loading a health system by transferring emergency department patients to a community hospital: Prospective cohort study

BACKGROUND

Emergency department boarding and crowding lead to worse patient outcomes and patient satisfaction.

OBJECTIVE

We describe the implementation of a program to transfer patients requiring medical admission from an academic emergency department to a community hospital's medical floor and analyze its effects on patient outcomes.

METHODS

A prospective cohort study was performed. Data was collected on patient flow through the transfer program. Patient characteristics, boarding time in the emergency department, and hospital-based outcome measures were compared between patients in the transfer program who were successfully transferred to the community hospital and patients who were admitted to the academic medical center.

RESULTS

79 patients were successfully transferred to the community hospital between November 23, 2020 and August 5, 2021, resulting in 279 bed days in the community hospital. Successfully transferred patients experienced a statistically shorter ED boarding time (5.7 vs. 10.9 h, p < 0.0001), ED length of stay (10.5 vs 16.1 h, p < 0.0001), and hospital length of stay (3.5 vs 5.7 days, p < 0.0001) compared to patients initially referred to the transfer program who were admitted to the academic medical center. There were no reported adverse events during transfer, upgrades to the ICU within 24 h of admission, or inpatient deaths for patients who were transferred.

CONCLUSION

We implemented an academic emergency department to partner community hospital transfer program that safely level-loads medical patients in a healthcare system.

Fallacy of Median Door‐to‐ECG Time: Hidden Opportunities for STEMI Screening Improvement

Background

ST‐segment elevation myocardial infarction (STEMI) guidelines recommend screening arriving emergency department (ED) patients for an early ECG in those with symptoms concerning for myocardial ischemia. Process measures target median door‐to‐ECG (D2E) time of 10 minutes.

Methods and Results

This 3‐year descriptive retrospective cohort study, including 676 ED‐diagnosed patients with STEMI from 10 geographically diverse facilities across the United States, examines an alternative approach to quantifying performance: proportion of patients meeting the goal of D2E≤10 minutes. We also identified characteristics associated with D2E>10 minutes and estimated the proportion of patients with screening ECG occurring during intake, triage, and main ED care periods. We found overall median D2E was 7 minutes (IQR:4–16; range: 0–1407 minutes; range of ED medians: 5–11 minutes). Proportion of patients with D2E>10 minutes was 37.9% (ED range: 21.5%–57.1%). Patients with D2E>10 minutes, compared to those with D2E≤10 minutes, were more likely female (32.8% versus 22.6%, P=0.005), Black (23.4% versus 12.4%, P=0.005), non‐English speaking (24.6% versus 19.5%, P=0.032), diabetic (40.2% versus 30.2%, P=0.010), and less frequently reported chest pain (63.3% versus 87.4%, P<0.001). ECGs were performed during ED intake in 62.1% of visits, ED triage in 25.3%, and main ED care in 12.6%.

Conclusions

Examining D2E>10 minutes can identify opportunities to improve care for more ED patients with STEMI. Our findings suggest sex, race, language, and diabetes are associated with STEMI diagnostic delays. Moving the acquisition of ECGs completed during triage to intake could achieve the D2E≤10 minutes goal for 87.4% of ED patients with STEMI. Sophisticated screening, accounting for differential risk and diversity in STEMI presentations, may further improve timely detection.

Improving Emergency Department Throughput Using Audit-and-Feedback With Peer Comparison Among Emergency Department Physicians

INTRODUCTION

We sought to determine if audit-and-feedback with peer comparison among emergency physicians is associated with improved emergency department (ED) throughput and decreased variation in physician performance.

METHODS

We implemented an audit-and-feedback with peer comparison tool at a single urban academic ED from March 1, 2013, to July 1, 2018. In the first study period, physicians received no reports. In the second period, they received daily reports. In the third period, they received daily, quarterly, and annual reports. Outcomes included patients per hour, admission rate, time to admission, and time to discharge.

RESULTS

A total of 272,032 patient visits and 36 ED physicians were included. The mean admission rate decreased 6.8%; the mean time to admission decreased 43.8 minutes; and the mean time to discharge decreased 40.6 minutes. Variation among physicians decreased for admission rate, time to admission, and time to discharge. Low-performing outliers showed disproportionately larger improvements in patients per hour, admission rate, time to admission, and time to discharge.

CONCLUSIONS

Automated peer comparison reports for academic emergency physicians was associated with lower admission rates, shorter times to admission, and shorter times to discharge at the departmental level, as well as decreased practice variation at the individual level.

Effect of resident complement on timeliness of stroke team activation in an academic emergency department

OBJECTIVES

Investigations of the impact of residents on emergency department (ED) timeliness of care typically focus only on global ED flow metrics. We sought to describe the association between resident complement/supervisory ratios and timeliness of ED care of a specific time-sensitive condition, acute stroke.

METHODS

We matched ED stroke patient arrivals at 1 academic stroke center against resident and attending staffing and constructed a Cox proportional hazards model of door-to-activation (DTA) time (ie, ED arrival ["door"] to stroke team activation). We considered multiple predictors, including calculated ratios of residents supervised by each attending physician.

RESULTS

Among 462 stroke activation patients in 2014-2015, DTA ranged from 1 to 217 minutes, 72% within 15 minutes. The median number of emergency and off-service residents supervised per attending were 1.7 (interquartile range [IQR], 1.3-2.3) and 0.7 (IQR, 0-1), respectively. A 1-resident increase in off-service residents was associated with a 24% decrease (hazard ratio [HR], 0.76; 95% confidence interval [CI], 0.64-0.90) in the probability of stroke team activation at any given time. An independent 1-resident increase in the number of emergency residents was associated with a 13% increase (HR, 1.13; 95% CI, 1.01-1.25) in timely activation.

CONCLUSION

Timeliness of care for acute stroke may be impacted by how academic EDs configure the complement and supervisory structures of residents. Higher supervisory demands imposed by increasing the proportion of rotating off-service residents may be associated with slower stroke recognition and DTA times, but this effect may be offset when more emergency residents are present.

The Use of Lean Six Sigma for Improving Availability of and Access to Emergency Department Data to Facilitate Patient Flow

The aim of this study was to redesign an emergency department [ED] data management system to improve the availability of, and access to, data to facilitate patient flow. A pre-/post-intervention design was employed using Lean Six Sigma methodology with a focus on the voice of the customer, Gemba, and 5S to identify areas for improvement in ED data management processes and to inform solutions for improved ED patient flow processes. A multidisciplinary ED team includes medical consultants and registrars, nurses, patient service staff, radiology staff, as well as information technology and hospital management staff. Lean Six Sigma [LSS] diagnostic tools identified areas for improvement in the current process for data availability and access. A set of improvements were implemented to redesign the pathway for data collection in the ED to improve data availability and access. We achieved a reduction in the time taken to access ED patient flow data from a mean of 9 min per patient pre-intervention to immediate post-intervention. This enabled faster decision-making by the ED team related to patient assessment and treatment and informed improvements in patient flow. Optimizing patient flow through a hospital’s ED is a complex task involving collaboration and participation from multiple disciplines. Through the use of LSS methodology, we improved the availability of, and fast access to, accurate, current information regarding ED patient flow. This allows ED and hospital management teams to identify and rapidly respond to actions impacting patient flow.

Universal SARS-CoV-2 Testing of Emergency Department Admissions Increases Emergency Department Length of Stay

Study objective

Our institution experienced a change in SARS-CoV-2 testing policy as well as substantial changes in local COVID-19 prevalence, allowing for a unique examination of the relationship between SARS-CoV-2 testing and emergency department (ED) length of stay.

Methods

This was an observational interrupted time series of all patients admitted to an academic health system between March 15, 2020, and September 30, 2020. Given testing limitations from March 15 to April 24, all patients receiving SARS-CoV-2 tests were symptomatic. On April 24, testing was expanded to all ED admissions. The primary and secondary outcomes were ED length of stay and number needed to test to obtain a positive, respectively.

Results

A total of 70,856 patients were cared for in the EDs during the 7-month period. The testing change increased admission length of stay by 1.89 hours (95% confidence interval 1.39 to 2.38). The number needed to test was 2.5 patients and was highest yield on April 1, 2020, when the state positivity rate was 39.7%; however, the number needed to test exceeded 170 patients by Sept 1, 2020, at which point the state positivity rate was 0.5%.

Conclusion

Although universal SARS-CoV-2 testing of ED admissions may meaningfully support mitigation and containment efforts, the clinical cost of testing all admissions amid low community positivity is notable. In our system, universal ED SARS-CoV-2 testing was associated with a 24% increase in admission length of stay alongside the detection of only 1 positive case every other day. Given the known harms and risks of ED boarding and crowding, solutions must be developed to support regular operational flow while balancing infection prevention needs.

Worsening of emergency department length of stay during the COVID-19 pandemic

OBJECTIVE

Our study sought to determine whether there was a change in emergency department (ED) length of stay (LOS) during the coronavirus disease 2019 (COVID-19) pandemic compared to prior years.

METHODS

We performed a retrospective analysis using ED performance data 2018-2020 from 56 EDs across the United States. We used a generalized estimating equation (GEE) model to assess differences in ED LOS for admitted (LOS-A) and discharged (LOS-D) patients during the COVID-19 pandemic period compared to prior years.

RESULTS

GEE modeling showed that LOS-A and LOS-D were significantly higher during the COVID-19 period compared to the pre-COVID-19 period. LOS-A during the COVID-19 period was 10.3% higher compared to the pre-COVID-19 time period, which represents a higher geometric mean of 28 minutes. LOS-D during the COVID-19 period was 2.8% higher compared to the pre-COVID-19 time period, which represents a higher geometric mean of 2 minutes.

CONCLUSIONS

ED LOS-A and LOS-D were significantly higher in the COVID-19 period compared to the pre-COVID-19 period despite a lower volume of patients in the COVID-19 period.

Comparing the Timeliness of Treatment in Younger vs. Older Patients with ST-Segment Elevation Myocardial Infarction: A Multi-Center Cohort Study

BACKGROUND

ST-segment elevation myocardial infarction (STEMI) predominantly affects older adults. Lower incidence among younger patients may challenge diagnosis.

OBJECTIVES

We hypothesize that among patients ≤ 50 years old, emergent percutaneous coronary intervention (PCI) for STEMI is delayed when compared with patients aged > 50 years.

METHODS

This 3-year, 10-center retrospective cohort study included emergency department (ED) STEMI patients ≥ 18 years of age treated with emergent PCI. We excluded patients with an electrocardiogram (ECG) completed prior to ED arrival or a nondiagnostic initial ECG. Our primary outcome was door-to-balloon (D2B) time. We compared characteristics and outcomes among younger vs. older STEMI patients, and among age subgroups.

RESULTS

There were 576 ED STEMI PCI patients, of whom 100 were ≤ 50 years old and 476 were > 50 years old. Median age was 44 years in the younger cohort (interquartile range [IQR] 41-47) vs. 62 years (IQR 57-70) among older patients. Median D2B time for the younger cohort was 76.5 min (IQR 67.5-102.5) vs. 81.0 min (IQR 65.0-105.5) in the older cohort (p = 0.91). This outcome did not change when ages 40 or 45 years were used to demarcate younger vs. older. The younger cohort had a higher prevalence of nonwhite races (38% vs. 21%; p < 0.001) and those currently smoking (36% vs. 23%; p = 0.005). The very young (≤30 years; 6/576) and very old (>80 years; 45/576) had 5.51 and 2.2 greater odds of delays.

CONCLUSION

We found no statistically significant difference in D2B times between patients ≤ 50 years old and those > 50 years old. Nonwhite patients and those who smoke were disproportionately represented within the younger population. The very young and very old had higher odds of D2B times > 90 min.

Emergency Department Patients Who Leave Before Treatment Is Complete

Introduction

Emergency department (ED) patients who leave before treatment is complete (LBTC) represent medicolegal risk and lost revenue. We sought to examine LBTC return visits characteristics and potential revenue effects for a large healthcare system.

Methods

This retrospective, multicenter study examined all encounters from January 1–December 31, 2019 at 18 EDs. The LBTC patients were divided into left without being seen (LWBS), defined as leaving prior to completed medical screening exam (MSE), and left subsequent to being seen (LSBS), defined as leaving after MSE was complete but before disposition. We recorded 30-day returns by facility type including median return hours, admission rate, and return to index ED. Expected realization rate and potential charges were calculated for each patient visit.

Results

During the study period 626,548 ED visits occurred; 20,158 (3.2%) LBTC index encounters occurred, and 6745 (33.5%) returned within 30 days. The majority (41.7%) returned in <24 hours with 76.1% returning in 10 days and 66.4% returning to index ED. Median return time was 43.3 hours, and 23.2% were admitted. Urban community EDs had the highest 30-day return rate (37.8%, 95% confidence interval, 36.41–39.1). Patients categorized as LSBS had longer median return hours (66.0) and higher admission rates (29.8%) than the LWBS cohort. There was a net potential realization rate of $9.5 million to the healthcare system.

Conclusion

In our system, LSBS patients had longer return times and higher admission rates than LWBS patients. There was significant potential financial impact for the system. Further studies should examine how healthcare systems can reduce risk and financial impacts of LBTC patients.

Does crowding influence emergency department treatment time and disposition?

OBJECTIVE

The objective of this study was to determine whether crowding influences treatment times and disposition decisions for emergency department (ED) patients.

METHODS

We conducted a retrospective cohort study at 2 hospitals from January 1, 2014, to July 1, 2014. Adult ED visits with dispositions of discharge, admission, or transfer were included. Treatment times were modeled by linear regression with log-transformation; disposition decisions (admission or transfer vs discharge) were modeled by logistic regression. Both models adjusted for chief complaint, Emergency Severity Index (ESI), and 4 crowding metrics in quartiles: waiting count, treatment count, boarding count, and National Emergency Department Overcrowding Scale.

RESULTS

We included 21,382 visits at site A (12.9% excluded) and 29,193 at site B (15.0% excluded). Respective quartiles of treatment count increased treatment times by 7.1%, 10.5%, and 13.3% at site A (P < 0.001) and by 4.0%, 6.5%, and 10.2% at site B (P < 0.001). The fourth quartile of treatment count increased estimates of treatment time for patients with chest pain and ESI level 2 from 2.5 to 2.9 hours at site A (20 minutes) and from 3.0 to 3.3 hours at site B (18 minutes). Treatment times decreased with quartiles of waiting count by 5.6%, 7.2%, and 7.3% at site B (P < 0.001). Odds of admission or transfer increased with quartiles of waiting count by 8.7%, 9.6%, and 20.3% at site A (P = 0.011) and for the third (11.7%) and fourth quartiles (27.3%) at site B (P < 0.001).

CONCLUSIONS

Local crowding influenced ED treatment times and disposition decisions at 2 hospitals after adjusting for chief complaint and ESI.

Fair Play: Application of Normalized Scoring to Emergency Department Throughput Quality Measures in a National Registry

STUDY OBJECTIVE

The measurement of emergency department (ED) throughput as a patient-centered quality measure is ubiquitous; however, marked heterogeneity exists between EDs, complicating comparisons for payment purposes. We evaluate 4 scoring methodologies for accommodating differences in ED visit volume and heterogeneity among ED groups that staff multiple EDs to improve the validity and "fairness" of ED throughput quality measurement in a national registry, with the goal of developing a volume-adjusted throughput measure that balances variation at the ED group level.

METHODS

We conducted an ED group-level analysis using the 2017 American College of Emergency Physicians Clinical Emergency Data Registry data set, which included 548 ED groups inclusive of 889 unique EDs. We calculated ED throughput performance scores for each ED group by using 4 scoring approaches: plurality, simple average, weighted average, and a weighted standardized score. For comparison, ED groups (ie, taxpayer identification numbers) were grouped into 3 types: taxpayer identification numbers with only 1 ED; those with multiple EDs, but no ED with greater than 60,000 visits; and those with multiple EDs and at least 1 ED with greater than 60,000 visits.

RESULTS

We found marked differences in the classification of ED throughput performance between scoring approaches. The weighted standardized score (z score) approach resulted in the least skewed and most uniform distribution across the majority of ED types, with a kurtosis of 12.91 for taxpayer identification numbers composed of 1 ED, 2.58 for those with multiple EDs without any supercenter, and 3.56 for those with multiple EDs with at least 1 supercenter, all lower than comparable scoring methods. The plurality and simple average scoring approaches appeared to disproportionally penalize ED groups that staff a single ED or multiple large-volume EDs.

CONCLUSION

Application of a weighted standardized (z score) approach to ED throughput measurement resulted in a more balanced variation between different ED group types and reduced distortions in the length-of-stay measurement among ED groups staffing high-volume EDs. This approach may be a more accurate and acceptable method of profiling ED group throughput pay-for-performance programs.

The cost of waiting: Association of ED boarding with hospitalization costs

BACKGROUND

Emergency Department (ED) boarding, the practice of holding patients in the ED after they have been admitted to the hospital due to unavailability of inpatient beds, is common and contributes to the public health crisis of ED crowding. Prior work has documented the harms of ED boarding on access and quality of care. Limited studies examine the relationship between ED boarding and an equally important domain of quality-the cost of care. This study evaluates the relationship between ED boarding, ED characteristics and risk-adjusted hospitalization costs utilizing national publicly-reported measures.

METHODS

We conducted a cross-sectional analysis of two 2018 Centers for Medicare and Medicaid Services (CMS) Hospital Compare datasets: 1) Medicare Hospital Spending per Patient and 2) Timely and Effective Care. We constructed a hospital-level multivariate linear regression analysis to examine the association between ED boarding and Medicare spending per beneficiary (MSPB), adjusting for ED length of stay, door to diagnostic evaluation time, and ED patient volume.

RESULTS

A total of 2903 hospitals were included in the analysis. ED boarding was significantly correlated with MSPB (r = 0.1774; p-value: < 0.0001). In multivariate regression, ED boarding was also positively associated with MSPB (Beta: 0.00015; p < 0.0001) after adjustment for other hospital level crowding indicators.

CONCLUSION

We found a strong relationship between measures of ED crowding, including ED boarding, and risk-adjusted hospital spending. Future work should elucidate the mediators of this relationship. Policymakers and administrators should consider the financial harms of ED boarding when devising strategies to improve hospital care access and flow.