Estimating the size and scope of the academic emergency physician workforce.

BACKGROUND: Academic emergency medicine (EM) is foundational to the EM specialty through the development of new knowledge and clinical training of resident physicians. Despite recent increased attention to the future of the EM workforce, no evaluations have specifically characterized the U.S. academic EM workforce. We sought to estimate the national proportion of emergency physicians (EPs) identified as academic and the proportion of emergency department (ED) visits that take place at academic sites. METHODS: We performed a cross-sectional analysis of EPs and EDs using data from the American Hospital Association, the Centers for Medicare & Medicaid Services, and Doximity's Residency Navigator. EPs were identified as "academic" if they were affiliated with at least one facility determined to be academic, defined as EDs officially designated by the Accreditation Council for Graduate Medical Education (ACGME) as clinical training sites at accredited EM residency programs. Our primary outcomes were to estimate the national proportion of EPs identified as academic and the proportion of ED visits performed at academic sites. RESULTS: Our analytic sample included 26,937 EPs practicing clinically across 4920 EDs and providing care during 130,471,386 ED visits. Among EPs, 11,720 (43.5%) were identified as academic, and among EDs, 635 (12.9%) were identified as academic sites, including 585 adult/general sites, 45 pediatric-specific sites, and 10 sites affiliated with the Department of Veterans Affairs. In 2021, academic EDs provided care for 42,794,106 ED visits or 32.8% of all ED visits nationally. CONCLUSIONS: Approximately four in 10 EPs practice in at least one clinical training site affiliated with an ACGME-accredited EM residency program, and approximately one in three ED visits nationally occur in these academic EDs. We encourage further work using alternative definitions of an academic EPs and EDs, along with longitudinal research to identify trends in the workforce's composition.

Impact of the geriatric emergency medicine specialist intervention on final emergency department disposition.

BACKGROUND: The Geriatric Emergency Medicine Specialist (GEMS) pilot program is an innovative approach that utilizes geriatric-trained advanced practice providers to facilitate geriatric assessments and care planning for older adults in the emergency department (ED). The objective of this study was to explore the effect of GEMS on the use of observation status and final ED disposition. METHODS: This was a retrospective study under a target trial emulation framework. Geriatric patients (65+ years old) who presented to two ED sites within a large regional healthcare system between December 2020 and December 2022 were included. The primary outcome was final ED disposition (discharge, hospital inpatient admission, or hospital observation admission). Secondary outcomes included ED observation and ED length of stay. Non-GEMS patients were propensity score matched 5:1 to GEMS patients. Doubly robust regression was used to estimate the odds ratios and 95% confidence intervals of inpatient admission, discharge, hospital observation admission, ED observation admission, and estimate the mean ED length of stay. RESULTS: A total of 427 of 43,064 total patients (1.0%) received a GEMS intervention during the study period. Our analysis included 2,302 geriatric ED patients (410 GEMS, 1,892 non-GEMS) after propensity score matching. Hospital admission rates were 34.1% for GEMS compared to 56.4% for conventional treatment. GEMS patients had decreased odds of inpatient admission (OR: 0.41, 95 CI: 0.34-0.51, p < 0.001), increased odds of discharge (OR: 1.19 95 CI: 1.00-1.42, p = 0.047), hospital observation admission (OR: 2.97, 95 CI: 2.35-3.75, p < 0.001), ED observation admission (OR: 4.84 95 CI: 3.67-6.38, p < 0.001), and had a longer average ED length of stay (170 min, 95 CI: 84.6-256, p < 0.001) compared to non-GEMS patients. CONCLUSIONS: Patients seen by GEMS during their ED visit were associated with higher rates of hospital discharge and lower rates of hospital admissions.

Leveraging a Learning Collaborative Model to Develop and Pilot Quality Measures to Improve Opioid Prescribing in the Emergency Department.

The American College of Emergency Physicians (ACEP) Emergency Medicine Quality Network (E-QUAL) Opioid Initiative was launched in 2018 to advance the dissemination of evidence-based resources to promote the care of emergency department (ED) patients with opioid use disorder. This virtual platform-based national learning collaborative includes a low-burden, structured quality improvement project, data benchmarking, tailored educational content, and resources designed to support a nationwide network of EDs with limited administrative and research infrastructure. As a part of this collaboration, we convened a group of experts to identify and design a set of measures to improve opioid prescribing practices to provide safe analgesia while reducing opioid-related harms. We present those measures here, alongside initial performance data on those measures from a sample of 370 nationwide community EDs participating in the 2019 E-QUAL collaborative. Measures include proportion of opioid administration in the ED, proportion of alternatives to opioids as first-line treatment, proportion of opioid prescription, opioid pill count per prescription, and patient medication safety education among ED visits for atraumatic back pain, dental pain, or headache. The proportion of benzodiazepine and opioid coprescribing for ED visits for atraumatic back pain was also evaluated. This project developed and effectively implemented a collection of 6 potential measures to evaluate opioid analgesic prescribing across a national sample of community EDs, representing the first feasibility assessment of opioid prescribing-related measures from rural and community EDs.

Unfilled in emergency medicine: An analysis of the 2022 and 2023 Match by program accreditation, ownership, and geography.

Background: The two most recent National Resident Matching Program (NRMP) Match cycles saw a high number of initially unfilled emergency medicine (EM) residency positions. We sought to identify the risk of EM residency program characteristics including accreditation duration, primary clinical site ownership status, and geography pertaining to not initially filling all positions. Methods: We performed a repeated cross-sectional observational study of EM residency programs participating in the 2022 and 2023 NRMP Match cycles and used publicly available data from the NRMP, the Accreditation Council for Graduate Medical Education, the Centers for Medicare & Medicaid Services, and the U.S. Department of Housing and Urban Development. Our primary outcome was the proportion of EM residency programs that did not initially fill positions, with analyses stratified by accreditation duration (>5 or ≤5 years), primary clinical site ownership status, and geographic core-based statistical areas (CBSAs). Results: A total of 219 of 2921 (7.5%) positions in the 2022 Match and 554 of 3010 (18.4%) positions in the 2023 Match were initially unfilled. Over the 2-year period, EM residency programs accredited within the past 5 years had more than double the risk (relative risk [RR] 2.08, 95% confidence interval [CI] 1.69-2.57, chi-square p < 0.001) of not filling all positions compared to those accredited more than 5 years previously. EM residency programs with a primary clinical site under for-profit ownership had a 50% greater risk of not filling all positions when compared to those under nonprofit or governmental ownership (RR 1.50, 95% CI 1.14-1.98, chi-square p = 0.009). In 2023, several CBSAs had a high number of both offered and unfilled positions. Conclusions: EM residency programs accredited within the past 5 years or those with a primary clinical site under for-profit ownership had a greater risk of not filling all positions within the past two Match cycles.

Correlations among common emergency medicine physician performance measures: Mixed messages or balancing forces?

The increasing complexity of ED physician performance measures has resulted in significant challenges, including duplicative and conflicting measures that fail to account for different ED settings. We performed a cross sectional analysis of correlations between measures to characterize their relationships and determine if differences exist between academic versus non-academic ED settings. Pearson correlations were calculated for 12 measures among 220 ED physicians at 11 EDs. Higher admission rate was strongly correlated with higher CT utilization rate (R = 0.7, p < 0.01) and longer room to discharge time (R = 0.7, p < 0.01). Higher patients per hour was strongly correlated with shorter room to doctor time (R = -0.7, p < 0.01). Stronger measure correlations were found in the academic setting compared to the non-academic setting. Strong correlations between ED measures imply opportunities to reduce competing performance demands on clinicians. Differences in correlations at academic versus non-academic settings suggest that it may be inappropriate to apply the same performance standards across settings.

Emergency medicine physician workforce attrition differences by age and gender.

BACKGROUND: Emergency care workforce concerns have gained national prominence given recent data suggesting higher than previously estimated attrition. With little known regarding characteristics of physicians leaving the workforce, we sought to investigate the age and number of years since residency graduation at which male and female emergency physicians (EPs) exhibited workforce attrition. METHODS: We performed a repeated cross-sectional analysis of EPs reimbursed by Medicare linked to date of birth and residency graduation date data from the American Board of Emergency Medicine for the years 2013-2020. Stratified by gender, our primary outcomes were the median age and number of years since residency graduation at the time of attrition, defined as the last year during the study time frame that an EP provided clinical services. We constructed a multivariate logistic regression model to examine the association between gender and EP workforce attrition. RESULTS: A total of 25,839 (70.2%) male and 10,954 (29.8%) female EPs were included. During the study years, 5905 male EPs exhibited attrition at a median (interquartile range [IQR]) age of 56.4 (44.5-65.4) years, and 2463 female EPs exhibited attrition at a median (IQR) age of 44.0 (38.0-53.9) years. Female gender (adjusted odds ratio 2.30, 95% confidence interval 1.82-2.91) was significantly associated with attrition from the workforce. Male and female EPs had respective median (IQR) post-residency graduation times in the workforce of 17.5 (9.5-25.5) years and 10.5 (5.5-18.5) years among those who exhibited attrition and one in 13 males and one in 10 females exited clinical practice within 5 years of residency graduation. CONCLUSIONS: Female physicians exhibited attrition from the EM workforce at an age approximately 12 years younger than male physicians. These data identify widespread disparities regarding EM workforce attrition that are critical to address to ensure stability, longevity, and diversity in the EP workforce.

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.

Managing opioid waste, cost, and opportunity for drug diversion in the emergency department.

INTRODUCTION: Management of pain is a component of 80% of all emergency department (ED) visits, and intravenous (IV) opioids are most commonly used to treat moderate to severe pain. Since the dose of stock vials is rarely purchased based on provider ordering patterns, there is often a discrepancy between ordered doses and the dose of the stock vial, leading to waste. Here, waste is defined as the difference between the dose of the stock vials used to fill an order and the ordered dose. Drug waste is problematic as it increases the chance of administering the incorrect dose, it is a source of lost revenue, and in the context of opioids, it increases the opportunity for drug diversion. In this study, we sought to utilize real-world data to describe the magnitude of morphine and hydromorphone waste in the studied EDs. We also applied scenario analyses based on provider ordering patterns to simulate the effects of cost versus opioid waste minimization when making purchasing decisions for the dose of stock vial of each opioid. METHODS: This was an observational analysis of IV morphine and hydromorphone orders across three EDs within a health care system between December 1, 2014 and November 30, 2015. In the primary analysis we measured total waste and cost of all ordered hydromorphone and morphine, and we created logistic regression models for each opioid to estimate the odds that a given ordered dose would create waste. In the secondary scenario analysis we determined the total waste created and total cost to satisfy all written orders for both opioids with respect to prioritizing minimizing waste versus cost. RESULTS: Among a total of 34,465 IV opioid orders, 7866 (35%) of morphine orders created 21,767 mg of waste, and 10,015 (85%) of hydromorphone orders created 11,689 mg of waste. Larger dose orders were associated with a smaller likelihood of waste in both morphine and hydromorphone due to the doses of stock vials available. In the waste optimization scenario, relative to the base scenario, total waste, which included waste from both morphine and hydromorphone, was reduced by 97% and cost was reduced by 11%. In the cost optimization scenario, cost was reduced by 28% but waste increased by 22%. CONCLUSION: As hospitals continue to seek strategies to reduce costs and mitigate the harms of opioid diversion amidst the opioid epidemic, this study shows that optimizing the dose of the stock vial to minimize waste using provider ordering patterns, could mitigate risk while also reducing cost. Limitations included the use of data from EDs within a single health system, drug shortages that affected stock vial availability, and finally, the actual cost of stock vials, used for cost calculations, can differ based on a variety of factors.

Clinical Performance Measures for Emergency Department Care for Adults With Intracranial Hemorrhage.

Though select inpatient-based performance measures exist for the care of patients with nontraumatic intracranial hemorrhage, emergency departments lack measurement instruments designed to support and improve care processes in the hyperacute phase. To address this, we propose a set of measures applying a syndromic (rather than diagnosis-based) approach informed by performance data from a national sample of community EDs participating in the Emergency Quality Network Stroke Initiative. To develop the measure set, we convened a workgroup of experts in acute neurologic emergencies. The group considered the appropriate use case for each proposed measure: internal quality improvement, benchmarking, or accountability, and examined data from Emergency Quality Network Stroke Initiative-participating EDs to consider the validity and feasibility of proposed measures for quality measurement and improvement applications. The initially conceived set included 14 measure concepts, of which 7 were selected for inclusion in the measure set after a review of data and further deliberation. Proposed measures include 2 for quality improvement, benchmarking, and accountability (Last 2 Recorded Systolic Blood Pressure Measurements Under 150 and Platelet Avoidance), 3 for quality improvement and benchmarking (Proportion of Patients on Oral Anticoagulants Receiving Hemostatic Medications, Median ED Length of Stay for admitted patients, and Median Length of Stay for transferred patients), and 2 for quality improvement only (Severity Assessment in the ED and Computed Tomography Angiography Performance). The proposed measure set warrants further development and validation to support broader implementation and advance national health care quality goals. Ultimately, applying these measures may help identify opportunities for improvement and focus quality improvement resources on evidence-based targets.

Real-World Observational Evaluation of Common Interventions to Reduce Emergency Department Prescribing of Opioid Medications.

BACKGROUND: Prior work on opioid prescribing has examined dosing defaults, interruptive alerts, or "harder" stops such as electronic prescribing of controlled substances (EPCS), which has become increasingly required by state policy. Given that real-world opioid stewardship policies are concurrent and overlapping, the authors examined the effect of such policies on emergency department (ED) opioid prescriptions. METHODS: The researchers performed observational analysis of all ED visits discharged between December 17, 2016, and December 31, 2019, across seven EDs of a hospital system. Four interventions were examined in chronological order, with each successive intervention added on top of all previous interventions: 12-pill prescription default, EPCS, electronic health record (EHR) pop-up alert, and 8-pill prescription default. The primary outcome was opioid prescribing, which was described as number of opioid prescriptions per 100 discharged ED visits and modeled as a binary outcome for each visit. Secondary outcomes included prescription morphine milligram equivalents (MME) and non-opioid analgesia prescriptions. RESULTS: A total of 775,692 ED visits were included in the study. Compared to the preintervention period, cumulative reductions in opioid prescribing were seen with incremental interventions, including after adding a 12-pill default (odds ratio [OR] 0.88, 95% confidence interval [CI] 0.82-0.94), after adding EPCS (OR 0.7, 95% CI 0.63-0.77), after adding pop-up alerts (OR 0.67, 95% CI 0.63-0.71), and after adding an 8-pill default (OR 0.61, 95% CI 0.58-0.65). CONCLUSION: EHR-implemented solutions such as EPCS, pop-up alerts, and pill defaults had varying but significant effects on reducing ED opioid prescribing. Policy makers and quality improvement leaders might achieve sustainable improvements in opioid stewardship while balancing clinician alert fatigue through policy efforts promoting implementation of EPCS and default dispense quantities.

Estimated reimbursement impact of COVID-19 on emergency physicians.

BACKGROUND: The delivery and financing of health care services were altered in unprecedented ways by COVID-19 and subsequent policy responses. We estimated reimbursement losses to emergency physicians in 2020 compared to 2019 related to shifting acute care utilization during COVID-19. METHODS: This was an observational analysis of the Clinical Emergency Department Registry (CEDR) and the Nationwide Emergency Department Sample (NEDS). Study sample included all ED visits from a sample of 214 emergency department (ED) sites in the CEDR in 2019 and 2020 as well as all ED visits in the NEDS in 2019. We identified level of service billing code for evaluation and management (E&M) services, insurance payer, and geographic location of ED visits across sites in the CEDR and linked these to fee schedules to estimate total professional reimbursement across sites. Our primary analysis was to estimate reimbursement in 2020 compared to 2019 across the CEDR sites. In our secondary analysis, we linked sites in the CEDR to those in NEDS to estimate nationwide reimbursement. RESULTS: Total E&M reimbursement for emergency physicians in the CEDR was $1.6 billion in 2019 and $1.3 billion in 2020, reflecting a 19.7% decline year over year ($308 million loss). In our secondary analysis, we estimate nationwide losses of $6.6 billion, a -19.4% decline year over year. If emergency physicians had received maximum allowable federal relief funds via CARES Act Phases 1 to 3 (2% of 2019 revenue) this would sum to $680 million (2% of the $34 billion) or 10.3% of the estimated $6.6 billion pandemic-related losses. CONCLUSIONS: Our analyses provide an estimate of the scale of economic impacts of the COVID-19 pandemic. These findings warrant consideration for policymaker relief and future redesign of emergency care financing. Ultimately, the COVID-19 pandemic likely expanded known cracks in the financing of health care into steep fault lines.

Psychotropic Medication Use in United States Pediatric Emergency Department Visits.

OBJECTIVE AND BACKGROUND: Little is known about pediatric psychotropic medication use in the emergency department (ED), despite a rise in mental and behavioral health visits. This study describes psychotropic medication use in a nationally representative sample of pediatric mental and behavioral health ED visits over a 14-year period. METHODS: We conducted a cross-sectional analysis of pediatric (6-17 years) mental and behavioral health ED visits using the National Hospital Ambulatory Medical Care Survey, 2006-2019. We describe administration of psychotropic medications by medication type, diagnosis, and over time. Using multivariable survey-weighted logistic regression, we examine associations between medication administration and sociodemographics. RESULTS: A psychotropic medication was administered in 11.4% of the estimated 11,792,860 pediatric mental and behavioral health ED visits in our sample. Benzodiazepines were administered most frequently (4.9% of visits). Visits with anxiety disorders had the highest frequency of psychotropic medication use (26.7%). Visits by Black non-Hispanic patients had a 60% decreased odds of medication administration compared to visits for White non-Hispanic patients. Visits with public compared to private insurance had a 3.5 times increased odds of psychotropic polypharmacy. The proportion of visits in which a psychotropic medication was administered did not change statistically over time. CONCLUSIONS: A psychotropic medication was administered in 1 in 10 pediatric mental and behavioral health ED visits. Use differed by sociodemographics but did not change over time. As more youth seek mental and behavioral health care in the ED, we must better understand appropriate medication use to ensure quality and equitable care.

Improving Sepsis Management Through the Emergency Quality Network Sepsis Initiative.

BACKGROUND: Public reporting of the Centers for Medicare & Medicaid (CMS) SEP-1 sepsis quality measure is often too late and without the data granularity to inform real-time quality improvement (QI). In response, the American College of Emergency Physicians (ACEP) Emergency Quality Network (E-QUAL) Sepsis Initiative sought to support QI efforts through benchmarking of preliminary draft SEP-1 scores for emergency department (ED) patients. This study sought to determine the anticipatory value of these preliminary SEP-1 benchmarking scores and publicly reported performance. METHODS: Cross-sectional analysis was performed on QI data collected from hospital-based ED sites participating in the E-QUAL Sepsis Collaborative in 2017 and 2018. Participating EDs submitted SEP-1 benchmarking scores semiannually, which were compared to publicly reported CMS SEP-1 data. EDs also reported implementation data on a variety of sepsis-related QI activities for comparison based on SEP-1 performance. RESULTS: Among 220 EDs participating in E-QUAL, SEP-1 benchmarking scores showed weak but statistically significant correlation with CMS SEP-1 scores (r = 0.189, p = 0.01). Mean E-QUAL SEP-1 benchmarking scores were higher than mean CMS SEP-1 scores (74.1% vs. 57.2%), with 83.2% of sites reporting a benchmarking score higher than the CMS SEP-1 score. EDs with SEP-1 scores in the bottom 20% reported completion of more sepsis-related QI activities than EDs with average or top 20% SEP-1 scores. CONCLUSION: Preliminary benchmarking results demonstrate a weak, statistically significant correlation with subsequent publicly reported CMS SEP-1 scores and suggest that ED performance in sepsis care may exceed overall hospital performance inclusive of all inpatients. Sepsis quality measurement and sepsis QI efforts may be best guided by separating ED sepsis cases from in-hospital sepsis cases as is done for other acute time-sensitive conditions.

Patient cost consciousness in the emergency department.

BACKGROUND: 'Surprise billing', or the phenomenon of unexpected coverage gaps in which patients receiving out-of-network medical bills after what they thought was in-network care, has been a major focus of policymakers and advocacy groups recently, particularly in the Emergency Department (ED) setting, where patients' ability to choose a provider is exceedingly limited. The No Surprises Act is the legislative culmination to address "surprise bills," with the aim of promoting price transparency as a solution for billing irregularities. However, the knowledge and perceptions of patients regarding emergency care price transparency, particularly the degree to which ED patients are cost conscious is unknown. Accordingly, we sought to quantify that perception by measuring patients' direct predictions for the cost of their care. METHODS: We conducted an in-person survey of patients in Emergency Departments (EDs) over an 10-month period at two campuses within a large academic hospital system in southern Connecticut. We surveyed a convenience sample of patients at the bedside regarding demographics, care seeking perceptions and their estimates of the total and out-of-pocket costs for their ED care. Survey data was linked to institutional hospital finance datasets including actual charges and payments. We then later obtained the actual costs and billed amounts and compared these to the patients' estimates using a paired t-test. We also analyzed results according to certain patient demographics. RESULTS: A total of 600 patients were approached for survey, and data from 455 were available for the final analysis. On average, patients overestimated the cost of their care by $2484 and overestimated out-of-pocket cost by $144; both of these results met statistical significance (p < .005). Patients were better able to predict both total and out-of-pocket costs if they were: college educated or above; unemployed or retired; aged 65 or older; or had private insurance. Uninsured patients could better predict total cost but not out-of-pocket costs. One in 4 patients reported considering the cost of care prior to visiting the ED. Only 12 patients reported trying to look up that price before coming. CONCLUSIONS: This study is the first to our knowledge that sought to quantify how patients perceive the cost of acute, unscheduled care in the ED. We found that ED patients generally do not consider the price before going to the ED, and subsequently overestimate the negotiated total costs of acute, unscheduled emergency care as well as their out-of-pocket responsibility for care. Certain demographics are less predictive of this association. Notably, patients with Medicare/Medicaid and those with high school education or below were of the furthest off in predicting the actual cost of care. This lends credence to the established trend of patients' limited knowledge of the total cost of healthcare; moreover, that they overestimate the cost of their care could serve as a barrier to accessing that care particularly in more vulnerable groups. We hope that this finding adds useful information to policymakers in sculpting future legislation around surprise billing.

Prehospital emergency department care activations during the initial COVID-19 pandemic surge.

OBJECTIVE: To describe trends in prehospital presentations of critical medical and trauma conditions during the COVID-19 pandemic using prehospital and emergency department (ED) care activations. METHODS: Observational analysis of ED care activations in a tertiary, urban ED between March 10, 2020 and September 1, 2020 was compared to the same time periods in 2018 and 2019. ED care activations for critical medical conditions were classified based on clinical indication: undifferentiated medical, trauma, or stroke. MAIN OUTCOME: The primary outcomes were the number of patients presenting from the prehospital setting with specified ED activation criteria, total ED volume, ambulance arrival volume, and volume of COVID-19 hospital admissions. Locally weighted scatterplot smoothing curves were used to visually display our results. RESULTS: There were 1,461 undifferentiated medical activations, 905 stroke activations, and 1,478 trauma activations recorded, representing absolute decreases of 11.3, 28.1, and 20.3 percent, respectively, relative to the same period in 2019, coinciding with the declaration of a public health emergency in Connecticut. For all three types of presentation, post-peak spikes in activations were observed in early May, approximately two weeks after our health system in Connecticut reached its peak number of COVID-19 hospitalizations-eg, undifferentiated medical activations: increase in 280 percent, n = 140 from 2019, p < 0.0001-and declined thereafter, reaching a nadir in early June 2020. CONCLUSIONS: After the announcement of public health measures to mitigate COVID-19, ED care activations declined in a large Northeast academic ED, followed by post-peak surges in activations as COVID- 19 cases decreased.

The 2013 to 2019 Emergency Medicine Workforce: Clinician Entry and Attrition Across the US Geography.

STUDY OBJECTIVE: We sought to identify longitudinal trends in workforce entry and attrition among rural and urban emergency physicians, nonemergency physicians, and advanced practice providers. METHODS: We performed a repeated cross-sectional analysis, from 2013 to 2019, of emergency clinicians who received reimbursement for at least 50 Evaluation and Management services [99281-99285] from Medicare part B within any study year. We calculated the emergency workforce's entry and attrition rates annually. Entry was defined as clinicians newly entering or re-entering the workforce, and attrition was defined as clinicians leaving permanently or temporarily. We stratified the analyses by rural designation and assessed the proportions and state-level changes in clinician density. RESULTS: In total, 82,499 unique clinicians performed at least 50 Evaluation and Management services within any of the 7 study years examined, including 47,000 emergency physicians, 9,029 nonemergency physicians, and 26,470 advanced practice providers. Emergency physicians made up a decreasing proportion of the workforce (68.1% in 2013; 65.5% in 2019), and advanced practice providers made up an increasing proportion of the workforce (20.9% in 2013; 26.1% in 2019). Annually, 5.9% to 6.8% (2,186 to 2,407) of emergency physicians newly entered and 0.8% to 1.4% (264 to 515) re-entered the workforce, whereas 3.8% to 4.9% (1,241 to 1,793) permanently left and 0.8% to 1.6% (276 to 521) temporarily left. Additionally, the total proportion of clinicians practicing in rural designations decreased, and advanced practice providers separately made up a substantially increasing proportion of the rural workforce (23.0% in 2013; 32.7% in 2019). Substantial state-level variation existed in the supply and demand of emergency clinician densities per 100,000 population. CONCLUSION: The annual rate of emergency physician attrition was collectively more than 5%, well above the 3% assumed in a recently publicized projection, suggesting a potential overestimation of the anticipated future clinician surplus. Notably, the attrition of emergency physicians has disproportionately affected vulnerable rural areas. This work can inform emergency medicine workforce decisions regarding residency training, advanced practice provider utilization, and clinician employment.

Emergency department utilization for substance use disorders and mental health conditions during COVID-19.

BACKGROUND: As the emergency department (ED) has evolved into the de-facto site of care for a variety of substance use disorder (SUD) presentations, trends in ED utilization are an essential public health surveillance tool. Changes in ED visit patterns during the COVID-19 pandemic may reflect changes in access to outpatient treatment, changes in SUD incidence, or the unintended effects of public policy to mitigate COVID-19. We use a national emergency medicine registry to describe and characterize trends in ED visitation for SUDs since 2019. METHODS: We included all ED visits identified in a national emergency medicine clinical quality registry, which included 174 sites across 33 states with data from January 2019 through June 2021. We defined SUD using ED visit diagnosis codes including: opioid overdose and opioid use disorder (OUD), alcohol use disorders (AUD), and other SUD. To characterize changes in ED utilization, we plotted the 3-week moving average ratio of visit counts in 2020 and 2021 as compared to visit counts in 2019. FINDINGS: While overall ED visits declined in the early pandemic period and had not returned to 2019 baseline by June 2021, ED visit counts for SUD demonstrated smaller declines in March and April of 2020, so that the proportion of overall ED visits that were for SUD increased. Furthermore, in the second half of 2020, ED visits for SUD returned to baseline, and increased above baseline for OUD ever since May 2020. CONCLUSIONS: We observe distinct patterns in ED visitation for SUDs over the course of the COVID-19 pandemic, particularly for OUD for which ED visitation barely declined and now exceeds previous baselines. These trends likely demonstrate the essential role of hospital-based EDs in providing 24/7/365 care for people with SUDs and mental health conditions. Allocation of resources must be directed towards the ED as a de-facto safety net for populations in crisis.

Implementation of an Electronic Health Record Integrated Clinical Pathway Improves Adherence to COVID-19 Hospital Care Guidelines.

BACKGROUND: During the COVID-19 pandemic, frequently changing guidelines presented challenges to emergency department (ED) clinicians. The authors implemented an electronic health record (EHR)-integrated clinical pathway that could be accessed by clinicians within existing workflows when caring for patients under investigation (PUI) for COVID-19. The objective was to examine the association between clinical pathway utilization and adherence to institutional best practice treatment recommendations for COVID-19. METHODS: The authors conducted an observational analysis of all ED patients seen in a health system inclusive of seven EDs between March 18, 2020, and April 20, 2021. They implemented the pathway as an interactive flow chart that allowed clinicians to place orders while viewing the most up-to-date institutional guidance. Primary outcomes were proportion of admitted PUIs receiving dexamethasone and aspirin in the ED, and secondary outcome was time to delivering treatment. RESULTS: A total of 13 269 patients were admitted PUIs. The pathway was used by 40.6% of ED clinicians. When clinicians used the pathway, patients were more likely to be prescribed aspirin (OR, 7.15; 95% CI, 6.2-8.26) and dexamethasone (10.4; 8.85-12.2). For secondary outcomes, clinicians using the pathway had statistically significant ( P < 0.0001) improvement in timeliness of ordering medications and admission to the hospital. Aspirin, dexamethasone, and admission order time were improved by 103.89, 94.34, and 121.94 minutes, respectively. CONCLUSIONS: The use of an EHR-integrated clinical pathway improved clinician adherence to changing COVID-19 treatment guidelines and timeliness to associated medication administration. As pathways continue to be implemented, their effects on improving patient outcomes and decreasing disparities in patient care should be further examined.

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.