Stroke Screening Process for Spanish-Speaking Patients.

INTRODUCTION: The Balance Eyes Face Arms Speech Time stroke screening tool may have limitations for Spanish-speaking individuals. The purpose of this study is to identify potential screen failure events during evaluation for intervenable acute ischemic stroke events among Spanish-speaking patients. METHODS: This is a retrospective, observational, single-center study at an urban academic center during 2020. Patients with a positive stroke screen were stratified by Spanish or non-Spanish. We measured last known well, sensitivity, specificity, negative predictive value, and positive predictive value of the emergency department provider's decision to escalate to complete stroke evaluation with acute ischemic stroke as the outcome of interest. RESULTS: Among 796 patients (mean age of 52 years, 56% female, 37% Spanish speaking), 30% of patients with positive stroke screen were converted to complete stroke evaluation. For provider escalation to complete stroke evaluation for the outcome of acute ischemic stroke events, prevalence was 13%, sensitivity 81%, positive predictive value 22%, and negative predictive value 97% for the overall sample. Spanish-speaking patients were less likely to progress from screening to complete stroke evaluation (25.8% vs 32.8%; 95% for difference CI, 0.57-13.5). Importantly, there was no difference in rate of acute ischemic stroke between Spanish- and non-Spanish-speaking patients. DISCUSSION: Over 1 year, with 796 patients triggered at triage by Balance Eyes Face Arms Speech Time for positive stroke screens, only 13% resulted in an acute ischemic stroke. Spanish-speaking patients were less likely to progress from screening to complete stroke evaluation, but the rate of acute ischemic stroke was not different by language.

"Cold feet": A qualitative study of medical students who seriously considered emergency medicine but chose another specialty.

Introduction: Emergency medicine (EM) has historically been among the most competitive specialties in the United States. However, in 2022 and 2023, 219 of 2921 and 554 of 3010 respective National Resident Matching Program positions were initially unfilled. Medical students' selection of a medical specialty is a complex process. To better understand recent trends in the EM residency match, this qualitative study explored through one-on-one interviews the rationale of senior medical students who seriously considered EM but ultimately pursued another specialty. Methods: A convenience sample of senior medical students from across the United States was recruited via multiple mechanisms after the 2023 match. Participant characteristics were collected via an online survey. Qualitative data were generated through a series of one-on-one semistructured interviews and thematic analysis of the data was performed using a constant comparative approach. Results: Sixteen senior medical students from 12 different institutions participated in the study. Thematic saturation was reached after 12 interviews but data from all 16 interviews were included for qualitative analyses. Five major themes emerged as important in students' consideration but ultimate rejection of EM as a career: (1) innate features of EM attracted or dissuaded students, (2) widespread awareness of a recent workforce report, (3) burnout in EM, (4) their perception of EM's standing in the health care landscape, and (5) early EM experience and exposure. Conclusions: This qualitative study identified five major themes in the career decisions of senior medical students who seriously considered EM but chose another specialty. These findings may help inform the perceptions of students and guide future EM recruitment efforts.

Pandemic phase-related racial and ethnic disparities in COVID-19 positivity and outcomes among patients presenting to emergency departments during the first two pandemic waves in the USA.

BACKGROUND: In many countries including the USA, the UK and Canada, the impact of COVID-19 on people of colour has been disproportionately high but examination of disparities in patients presenting to ED has been limited. We assessed racial and ethnic differences in COVID-19 positivity and outcomes in patients presenting to EDs in the USA, and the effect of the phase of the pandemic on these outcomes. METHODS: This is a retrospective cohort study of adult patients tested for COVID-19 during, or 14 days prior to, the index ED visit in 2020. Data were obtained from the National Registry of Suspected COVID-19 in Emergency Care network which has data from 155 EDs across 27 US states. Hierarchical models were used to account for clustering by hospital. The outcomes included COVID-19 diagnosis, hospitalisation at index visit, subsequent hospitalisation within 30 days and 30-day mortality. We further stratified the analysis by time period (early phase: March-June 2020; late phase: July-September 2020). RESULTS: Of the 26 111 adult patients, 38% were non-Hispanic White (NHW), 29% Black, 20% Hispanic/Latino, 3% Asian and 10% all others; half were female. The median age was 56 years (IQR 40-69), and 53% were diagnosed with COVID-19; of those, 59% were hospitalised at index visit. Of those discharged from ED, 47% had a subsequent hospitalisation in 30 days. Hispanic/Latino patients had twice (adjusted OR (aOR) 2.3; 95% CI 1.8 to 3.0) the odds of COVID-19 diagnosis than NHW patients, after adjusting for age, sex and comorbidities. Black, Asian and other minority groups also had higher odds of being diagnosed (compared with NHW patients). On stratification, this association was observed in both phases for Hispanic/Latino patients. Hispanic/Latino patients had lower odds of hospitalisation at index visit, but when stratified, this effect was only observed in early phase. Subsequent hospitalisation was more likely in Asian patients (aOR 3.1; 95% CI 1.1 to 8.7) in comparison with NHW patients. Subsequent ED visit was more likely in Blacks and Hispanic/Latino patients in late phase. CONCLUSION: We found significant differences in ED outcomes that are not explained by comorbidity burden. The gap decreased but persisted during the later phase in 2020.

Characteristics of self-triaged emergency department visits by adults with cancer.

OBJECTIVES: Adults with a new diagnosis of cancer frequently visit emergency departments (EDs) for disease- and treatment-related issues, although not exclusively. Many cancer care providers have 24/7 clinician phone triage available, but initial recorded phone messages tend to advise patients to go to the nearest ED if they are "experiencing a medical emergency." It is unclear how well patients triage themselves to the optimal site of care. STUDY DESIGN: Cross-sectional study of tumor registry records (university patients diagnosed 2008-2018 and safety-net patients diagnosed 2012-2018) identifiably linked to electronic health records and a regional health information exchange. METHODS: We geoprocessed addresses to calculate driving time distance from the patient's home to the ED. We used mixed-effects regression to predict the diagnosis code-based severity for ED visits within 6 months of diagnosis, clustering visits within patients and hospitals. RESULTS: A total of 39,498 adults made 38,944 ED visits to 67 different hospitals. Patients self-referred for 85.5% of visits and bypassed a median (IQR) of 13 (4-33) closer EDs. Visits closer to home were not significantly more clinically severe; visits were significantly less severe if the patient self-referred (adjusted odds ratio [AOR], 0.89; 95% CI, 0.81-0.97) or they were on weekends (AOR, 0.93; 95% CI, 0.87-0.99). Reanalyzing within each individual health system also showed similar findings. CONCLUSIONS: Adults with cancer infrequently use available clinician advice before visiting the ED and may use factors other than clinical severity to determine their need for emergency care. Future work should explore the challenges that patients face navigating unplanned acute care, including reasons for underusing existing resources.

External Validation of a Tool to Identify Low-Risk Patients With Isolated Subdural Hematoma and Preserved Consciousness.

STUDY OBJECTIVE: The SafeSDH Tool was derived to identify patients with isolated (no other type of intracranial hemorrhage) subdural hematoma who are at very low risk of neurologic deterioration, neurosurgical intervention, or death. Patients are low risk by the tool if they have none of the following: use of anticoagulant or nonaspirin antiplatelet agent, Glasgow Coma Score (GCS) <14, more than 1 discrete hematoma, hematoma thickness >5 mm, or midline shift. We attempted to externally validate the SafeSDH Tool. METHODS: We performed a retrospective chart review of patients aged ≥16 with a GCS ≥13 and isolated subdural hematoma who presented to 1 of 6 academic and community hospitals from 2005 to 2018. The primary outcome, a composite of neurologic deterioration (seizure, altered mental status, or symptoms requiring repeat imaging), neurosurgical intervention, discharge on hospice, and death, was abstracted from discharge summaries. Hematoma thickness, number of hematomas, and midline shift were abstracted from head imaging reports. Anticoagulant use, antiplatelet use, and GCS were gathered from the admission record. RESULTS: The validation data set included 753 patients with isolated subdural hematoma. Mortality during the index admission was 2.1%; 26% of patients underwent neurosurgical intervention. For the composite outcome, sensitivity was 99% (95% confidence interval [CI] 97 to 100), and specificity was 31% (95% CI 27 to 35). The tool identified 162 (21.5%) patients as low risk. Negative likelihood ratio was 0.03 (95% CI 0.01 to 0.11). CONCLUSION: The SafeSDH Tool identified patients with isolated subdural hematoma who are at low risk for poor outcomes with high sensitivity. With prospective validation, these low-risk patients could be safe for management in less intensive settings.

Diagnostic management of acute pulmonary embolism: a prediction model based on a patient data meta-analysis.

AIMS: Risk stratification is used for decisions regarding need for imaging in patients with clinically suspected acute pulmonary embolism (PE). The aim was to develop a clinical prediction model that provides an individualized, accurate probability estimate for the presence of acute PE in patients with suspected disease based on readily available clinical items and D-dimer concentrations. METHODS AND RESULTS: An individual patient data meta-analysis was performed based on sixteen cross-sectional or prospective studies with data from 28 305 adult patients with clinically suspected PE from various clinical settings, including primary care, emergency care, hospitalized and nursing home patients. A multilevel logistic regression model was built and validated including ten a priori defined objective candidate predictors to predict objectively confirmed PE at baseline or venous thromboembolism (VTE) during follow-up of 30 to 90 days. Multiple imputation was used for missing data. Backward elimination was performed with a P-value <0.10. Discrimination (c-statistic with 95% confidence intervals [CI] and prediction intervals [PI]) and calibration (outcome:expected [O:E] ratio and calibration plot) were evaluated based on internal-external cross-validation. The accuracy of the model was subsequently compared with algorithms based on the Wells score and D-dimer testing. The final model included age (in years), sex, previous VTE, recent surgery or immobilization, haemoptysis, cancer, clinical signs of deep vein thrombosis, inpatient status, D-dimer (in µg/L), and an interaction term between age and D-dimer. The pooled c-statistic was 0.87 (95% CI, 0.85-0.89; 95% PI, 0.77-0.93) and overall calibration was very good (pooled O:E ratio, 0.99; 95% CI, 0.87-1.14; 95% PI, 0.55-1.79). The model slightly overestimated VTE probability in the lower range of estimated probabilities. Discrimination of the current model in the validation data sets was better than that of the Wells score combined with a D-dimer threshold based on age (c-statistic 0.73; 95% CI, 0.70-0.75) or structured clinical pretest probability (c-statistic 0.79; 95% CI, 0.76-0.81). CONCLUSION: The present model provides an absolute, individualized probability of PE presence in a broad population of patients with suspected PE, with very good discrimination and calibration. Its clinical utility needs to be evaluated in a prospective management or impact study. REGISTRATION: PROSPERO ID 89366.

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.

Increased Body Mass Index and Metabolic Syndrome Are Associated with Poor Outcomes in SARS-CoV-2-Positive Emergency Department Patients.

Background: Increased body mass index (BMI) and metabolic syndrome (MetS) have been associated with adverse outcomes in viral syndromes. We sought to examine associations of increased BMI and MetS on several clinical outcomes in patients tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Methods: The registry of suspected COVID-19 in emergency care (RECOVER) is an observational study of SARS-CoV-2-tested patients (n=27,051) across 155 United States emergency departments (EDs). We used multivariable logistic regression to test for associations of several predictor variables with various clinical outcomes. Results: We found that a BMI ≥30 kg/m2 increased odds of SARS-CoV-2 test positivity (odds ratio [OR], 1.30; 95% confidence interval [CI], 1.23-1.38), while MetS reduced odds of testing positive for SARS-CoV-2 (OR, 0.76; 95% CI, 0.71-0.82). Adjusted multivariable analysis found that MetS was significantly associated with the need for admission (OR, 2.11; 95% CI, 1.89-2.37), intensive care unit (ICU) care (OR, 1.58; 95% CI, 1.40-1.78), intubation (OR, 1.46; 95% CI, 1.28-1.66), mortality (OR, 1.29; 95% CI, 1.13-1.48), and venous thromboembolism (OR, 1.51; 95% CI, 1.07-2.13) in SARS-CoV-2-positive patients. Similarly, BMI ≥40 kg/m2 was significantly associated with ICU care (OR, 1.97; 95% CI, 1.65-2.35), intubation (OR, 2.69; 95% CI, 2.22-3.26), and mortality (OR, 1.50; 95% CI, 1.22-1.84). Conclusion: In this large nationwide sample of ED patients, we report a significant association of both high BMI and composite MetS with poor outcomes in SARS-CoV-2-positive patients. Findings suggest that composite MetS profile may be a more universal predictor of adverse disease outcomes, while the impact of BMI is more heavily modulated by SARS-CoV-2 status.

Antibiotic and antitussive prescribing among urgent care and emergency department visits for respiratory diagnoses in a large health system.

Objective: Urgent care centers (UCs) commonly evaluate patients with respiratory infections, and patients increasingly prefer UCs to emergency departments (EDs) because of their customer-centric approach. The aim of this study is to describe antibiotic and opioid prescribing among UC and ED visits with respiratory diagnoses. Methods: This is a cross-sectional study of visits to 7 EDs and 6 UCs in the greater Chicago area. We included visits from July 1, 2017, to June 30, 2019, with a primary diagnosis of upper or lower respiratory infection. We describe the proportion of visits resulting in an antibiotic or antitussive prescription as well as the most frequently prescribed medications in these categories. We also describe the demographic and clinical characteristics of visits. Results: Of 9134 ED visits, 32.9% were prescribed an antibiotic and 14.4% an antitussive (6.6% opioid). Of 41,380 UC visits for respiratory diagnoses, 57.9% were prescribed an antibiotic and 25.0% an antitussive (9.3% opioid). The most frequently prescribed antibiotics among ED and UC visits were penicillins (36.6% and 44.5%, respectively) and macrolides (44.1% and 35.3%, respectively). The most commonly prescribed opioid was codeine (55.6% and 91.0%, respectively). Median waiting room time was 16 and 5 minutes for ED and UC visits, respectively; median length of stay was 178 and 41 minutes, respectively. Conclusions: Antibiotics and antitussives, including opioids, are frequently prescribed for ED and UC visits with non-bacterial respiratory diagnoses. These findings suggest greater attention to the appropriateness of antibiotic prescribing in both settings and the incorporation of specific guidance on codeine products in opioid-prescribing guidelines.

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.

SARS-CoV-2 Positivity in Ambulatory Symptomatic Patients Is Not Associated With Increased Venous or Arterial Thrombotic Events in the Subsequent 30 Days.

BACKGROUND: COVID-19 has been associated with increased risk of thromboembolism in critically ill patients. OBJECTIVE: We sought to examine the association of SARS-CoV-2 test positivity and subsequent acute vascular thrombosis, including venous thromboembolism (VTE) or arterial thrombosis (AT), in a large nationwide registry of emergency department (ED) patients tested with a nucleic acid test for suspected SARS-CoV-2. METHODS: The RECOVER (Registry of Potential COVID-19 in Emergency Care) registry includes 155 EDs across the United States. We performed a retrospective cohort study to produce odds ratios (ORs) for COVID-19-positive vs. COVID-19-negative status as a predictor of 30-day VTE or AT, adjusting for age, sex, active cancer, intubation, hospital length of stay, and intensive care unit (ICU) care. RESULTS: Comparing 14,056 COVID-19-positive patients with 12,995 COVID-19-negative patients, the overall 30-day prevalence of VTE events was 1.4% vs. 1.3%, respectively (p = 0.44, χ2). Multivariable analysis identified that testing positive for SARS-CoV-2 status was negatively associated with both VTE (OR 0.76; 95% confidence interval [CI] 0.61-0.94) and AT (OR 0.51; 95% CI 0.32-0.80), whereas intubation, ICU care, and age 50 years or older were positively associated with both VTE and AT. CONCLUSIONS: In contrast to other reports, results from this large, hetereogenous national sample of ED patients tested for SARS-CoV-2, showed no association between vascular thrombosis and COVID-19 test positivity.

Ruling out pulmonary embolism across different healthcare settings: A systematic review and individual patient data meta-analysis.

BACKGROUND: The challenging clinical dilemma of detecting pulmonary embolism (PE) in suspected patients is encountered in a variety of healthcare settings. We hypothesized that the optimal diagnostic approach to detect these patients in terms of safety and efficiency depends on underlying PE prevalence, case mix, and physician experience, overall reflected by the type of setting where patients are initially assessed. The objective of this study was to assess the capability of ruling out PE by available diagnostic strategies across all possible settings. METHODS AND FINDINGS: We performed a literature search (MEDLINE) followed by an individual patient data (IPD) meta-analysis (MA; 23 studies), including patients from self-referral emergency care (n = 12,612), primary healthcare clinics (n = 3,174), referred secondary care (n = 17,052), and hospitalized or nursing home patients (n = 2,410). Multilevel logistic regression was performed to evaluate diagnostic performance of the Wells and revised Geneva rules, both using fixed and adapted D-dimer thresholds to age or pretest probability (PTP), for the YEARS algorithm and for the Pulmonary Embolism Rule-out Criteria (PERC). All strategies were tested separately in each healthcare setting. Following studies done in this field, the primary diagnostic metrices estimated from the models were the "failure rate" of each strategy-i.e., the proportion of missed PE among patients categorized as "PE excluded" and "efficiency"-defined as the proportion of patients categorized as "PE excluded" among all patients. In self-referral emergency care, the PERC algorithm excludes PE in 21% of suspected patients at a failure rate of 1.12% (95% confidence interval [CI] 0.74 to 1.70), whereas this increases to 6.01% (4.09 to 8.75) in referred patients to secondary care at an efficiency of 10%. In patients from primary healthcare and those referred to secondary care, strategies adjusting D-dimer to PTP are the most efficient (range: 43% to 62%) at a failure rate ranging between 0.25% and 3.06%, with higher failure rates observed in patients referred to secondary care. For this latter setting, strategies adjusting D-dimer to age are associated with a lower failure rate ranging between 0.65% and 0.81%, yet are also less efficient (range: 33% and 35%). For all strategies, failure rates are highest in hospitalized or nursing home patients, ranging between 1.68% and 5.13%, at an efficiency ranging between 15% and 30%. The main limitation of the primary analyses was that the diagnostic performance of each strategy was compared in different sets of studies since the availability of items used in each diagnostic strategy differed across included studies; however, sensitivity analyses suggested that the findings were robust. CONCLUSIONS: The capability of safely and efficiently ruling out PE of available diagnostic strategies differs for different healthcare settings. The findings of this IPD MA help in determining the optimum diagnostic strategies for ruling out PE per healthcare setting, balancing the trade-off between failure rate and efficiency of each strategy.

Safety and Efficiency of Diagnostic Strategies for Ruling Out Pulmonary Embolism in Clinically Relevant Patient Subgroups : A Systematic Review and Individual-Patient Data Meta-analysis.

BACKGROUND: How diagnostic strategies for suspected pulmonary embolism (PE) perform in relevant patient subgroups defined by sex, age, cancer, and previous venous thromboembolism (VTE) is unknown. PURPOSE: To evaluate the safety and efficiency of the Wells and revised Geneva scores combined with fixed and adapted D-dimer thresholds, as well as the YEARS algorithm, for ruling out acute PE in these subgroups. DATA SOURCES: MEDLINE from 1 January 1995 until 1 January 2021. STUDY SELECTION: 16 studies assessing at least 1 diagnostic strategy. DATA EXTRACTION: Individual-patient data from 20 553 patients. DATA SYNTHESIS: Safety was defined as the diagnostic failure rate (the predicted 3-month VTE incidence after exclusion of PE without imaging at baseline). Efficiency was defined as the proportion of individuals classified by the strategy as "PE considered excluded" without imaging tests. Across all strategies, efficiency was highest in patients younger than 40 years (47% to 68%) and lowest in patients aged 80 years or older (6.0% to 23%) or patients with cancer (9.6% to 26%). However, efficiency improved considerably in these subgroups when pretest probability-dependent D-dimer thresholds were applied. Predicted failure rates were highest for strategies with adapted D-dimer thresholds, with failure rates varying between 2% and 4% in the predefined patient subgroups. LIMITATIONS: Between-study differences in scoring predictor items and D-dimer assays, as well as the presence of differential verification bias, in particular for classifying fatal events and subsegmental PE cases, all of which may have led to an overestimation of the predicted failure rates of adapted D-dimer thresholds. CONCLUSION: Overall, all strategies showed acceptable safety, with pretest probability-dependent D-dimer thresholds having not only the highest efficiency but also the highest predicted failure rate. From an efficiency perspective, this individual-patient data meta-analysis supports application of adapted D-dimer thresholds. PRIMARY FUNDING SOURCE: Dutch Research Council. (PROSPERO: CRD42018089366).

Association Between Baseline Use of Angiotensin-Converting Enzyme Inhibitors and Angiotensin Receptor Blockers and Death Among Patients Tested for COVID-19.

Angiotensin-converting enzyme inhibitor (ACEI) and angiotensin receptor blocker (ARB) drugs may modify risk associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Therefore, we assessed whether baseline therapy with ACEIs or ARBs was associated with lower mortality, respiratory failure (noninvasive ventilation or intubation), and renal failure (new renal replacement therapy) in SARS-CoV-2-positive patients. This retrospective registry-based observational cohort study used data from a national database of emergency department patients tested for SARS-CoV-2. Symptomatic emergency department patients were accrued from January to October 2020, across 197 hospitals in the United States. Multivariable analysis using logistic regression evaluated end points among SARS-CoV-2-positive cases, focusing on ACEIs/ARBs and adjusting for covariates. Model performance was evaluated using the c statistic for discrimination and Cox plotting for calibration. A total of 13 859 (99.9%) patients had known mortality status, of whom 2045 (14.8%) died. Respiratory failure occurred in 2485/13 880 (17.9%) and renal failure in 548/13 813 (4.0%) patients with available data. ACEI/ARB status was associated with a 25% decrease in mortality odds (odds ratio [OR], 0.75; 95%CI, 0.59-0.94; P = .011; c = .82). ACEIs/ARBs were not significantly associated with respiratory failure (OR, 0.89; 95%CI, 0.78-1.06; P = .206) or renal failure (OR, 0.75; 95%CI, 0.55-1.04; P = .083). Adjusting for covariates, baseline ACEI/ARB was associated with 25% lower mortality in SARS-CoV-2-positive patients. The potential mechanism for ACEI/ARB mortality modification requires further exploration.

Advanced practice providers in academic emergency medicine: A national survey of chairs and program directors.

BACKGROUND: The Society for Academic Emergency Medicine Board of Directors convened a task force to elucidate the current state of workforce, operational, and educational issues being faced by academic medical centers related to advanced practice providers (APPs). The task force surveyed academic emergency department (ED) chairs and residency program directors (PDs). METHODS: The survey was distributed to the Association of Academic Chairs of Emergency Medicine (AACEM)-member chairs and their respective residency PDs in 2021. We surveyed 125 chairs with their self-identified PDs. The survey sampled hiring, state-independent practice laws, scope of practice, teaching and supervision, training opportunities, delegation of procedures between physician learners and APPs, and perceptions of the impact on resident and medical student education. RESULTS: Of the AACEM-member chairs identified, 73% responded and 47% of PDs responded. Most (98%) employ either physician assistants or nurse practitioners. Among responding departments, 86% report APPs working in fast-track settings, 80% work in the main ED, and 54% work in the waiting room. In 44% of departments, APPs and residents evaluate patients concurrently, and 2% of respondents reported that APPs manage high-acuity patients without attending involvement. Two-thirds of chairs believe that APPs contribute positively to the quality of patient care, while 44% believe that APPs contribute to the academic environment. One-third of PDs believe that the presence of APPs interferes with resident education. Although 75% of PDs believe that residents require training to work effectively with APPs in the ED, almost half (49%) report zero hours of training around APP supervision or collaborative skills. CONCLUSIONS: APPs are ubiquitous across academic EDs. Future research is required for academic ED leaders to balance physician and APP deployment across the academic ED within the context of patient care, resident education, institutional resources, professional development opportunities for APP staff, and standardization of APP EM training.

The Emergency Medicine Physician Workforce: Projections for 2030.

STUDY OBJECTIVE: The goals of this study were to determine the current and projected supply in 2030 of contributors to emergency care, including emergency residency-trained and board-certified physicians, other physicians, nurse practitioners, and physician assistants. In addition, this study was designed to determine the current and projected demand for residency-trained, board-certified emergency physicians. METHODS: To forecast future workforce supply and demand, sources of existing data were used, assumptions based on past and potential future trends were determined, and a sensitivity analysis was conducted to determine how the final forecast would be subject to variance in the baseline inputs and assumptions. Methods included: (1) estimates of the baseline workforce supply of physicians, nurse practitioners, and physician assistants; (2) estimates of future changes in the raw numbers of persons entering and leaving that workforce; (3) estimates of the productivity of the workforce; and (4) estimates of the demand for emergency care services. The methodology assumes supply equals demand in the base year and estimates the change between the base year and 2030; it then compares supply and demand in 2030 under different scenarios. RESULTS: The task force consensus was that the most likely future scenario is described by: 2% annual graduate medical education growth, 3% annual emergency physician attrition, 20% encounters seen by a nurse practitioner or physician assistant, and 11% increase in emergency department visits relative to 2018. This scenario would result in a surplus of 7,845 emergency physicians in 2030. CONCLUSION: The specialty of emergency medicine is facing the likely oversupply of emergency physicians in 2030. The factors leading to this include the increasing supply of and changing demand for emergency physicians. An organized, collective approach to a balanced workforce by the specialty of emergency medicine is imperative.