American Board of Emergency Medicine Report on Residency and Fellowship Training Information (2023-2024).

The American Board of Emergency Medicine gathers extensive background information on Accreditation Council of Graduate Medical Education-accredited emergency medicine residency and fellowship programs as well as the residents and fellows training in those programs. We present the 2024 annual report on the status of physicians training in ACGME-accredited emergency medicine training programs in the United States.

American Board of Emergency Medicine Report on Residency and Fellowship Training Information (2022-2023).

The American Board of Emergency Medicine gathers extensive background information on the Accreditation Council of Graduate Medical Education-accredited emergency medicine residency and fellowship programs and the residents and fellows training in those programs. We present the 2023 annual report on the status of physicians training in ACGME-accredited emergency medicine training programs in the United States.

American Board of Emergency Medicine Report on Residency and Fellowship Training Information (2021-2022).

The American Board of Emergency Medicine gathers extensive background information on the Accreditation Council of Graduate Medical Education-accredited emergency medicine residency and fellowship programs, as well as the residents and fellows training in those programs. We present the 2022 annual report on the status of physicians training in Accreditation Council of Graduate Medical Education-accredited emergency medicine training programs in the United States.

The top 100 cited articles published in emergency medicine journals.

INTRODUCTION: Our objective was to identify trends and examine the characteristics of the top 100 cited articles in emergency medicine (EM) journals. METHODS: Scopus Library database was queried to determine the citations of the top 100 EM articles. A second database (Google Scholar) was used to gather the following information: number of authors, publication year, journal name, impact factor, country of origin, and article type (original article, review article, conference paper, or editorial). The top 100 cited articles were selected and analyzed by 2 independent investigators. RESULTS: We identified 100 top-cited articles published in 6 EM journals, led by Annals of Emergency Medicine (65) and American Journal of Emergency Medicine (15). All top-cited articles were published between 1980 and 2009. The common areas of study were categorized as cardiovascular medicine, emergency department administration, toxicology, pain medicine, pediatrics, traumatology, and resuscitation. A statistically significant association was found between the journal impact factor and the number of top 100 cited articles (P < .005). CONCLUSION: The top-cited articles published in EM journals help us recognize the quality of the works, discoveries, and trends steering EM. Our analysis provides an insight to the prevalent areas of study being cited within our field of practice.

Time to seeking emergency department care for asthma: self-management, clinical features at presentation, and hospitalization.

OBJECTIVES: Understanding the events preceding emergency department (ED) asthma visits can guide patient education regarding managing exacerbations and seeking timely care. The objectives of this analysis were to assess time to seeking ED care, self-management of asthma exacerbations, and clinical status on presentation. METHODS: A total of 296 patients was grouped according to time to seeking ED care: ≤1 day (22%), 2-5 days (44%), and >5 days (34%) and was compared for clinical and psychosocial characteristics. Asthma severity at presentation was obtained from patient report with the Asthma Control Questionnaire (ACQ) and the Asthma Quality of Life Questionnaire (AQLQ) and from physicians' ratings using decision to hospitalize as an indicator of worse status. RESULTS. Mean age was 44 years, 72% were women, 10% had been in the ED in the prior week, and 28% came to the ED by ambulance. Patients who waited longer were more likely to be older, have more depressive symptoms, and have been in the ED in the prior week. They also were more likely to have taken more medications, but they were not more likely to have visited or consulted their outpatient physicians. Patients who waited longer reported worse ACQ (p < .0001) and AQLQ (p = .0002) scores and were more likely to be hospitalized for the current exacerbation (odds ratio 1.9, 95% CI 1.1, 3.2, p = .03). CONCLUSIONS: Patients who waited longer to come to the ED had worse asthma on presentation, had more functional limitations, and were more likely to be hospitalized. The ability to gauge severity of exacerbations and the use of the ED in a timely manner are important but often overlooked are self-management skills that patients should be taught.

History of symptom triggers in patients presenting to the emergency department for asthma.

OBJECTIVES: Understanding triggers is important for managing asthma particularly for patients who seek emergency department (ED) care for exacerbations. The objectives of this analysis were to delineate self-reported triggers in ED patients and to assess associations between triggers and asthma knowledge, severity, and quality of life. METHODS: At the time of an ED visit, 296 patients were asked what were their usual asthma triggers based on a checklist of 25 potential items, and what they thought specifically precipitated their current ED visit. Using standardized scales, patients also were asked about asthma knowledge, severity, and quality of life. RESULTS: The mean age was 44 years and 72% were women. Patients cited a mean of 12 triggers; most patients had diverse triggers spanning respiratory infections, environmental irritants, emotions, allergens, weather, and exercise. Patients with more triggers were more likely to be women (odds ratio (OR) = 2.0, confidence interval (CI) = 1.3, 3.2, p = .002), obese (OR = 1.7, CI = 1.1, 2.5, p = .01), and to not have a smoking history (OR = 1.9, CI = 1.3, 2.9, p = .001). There were no associations between number of triggers and current age, age at diagnosis, education, socioeconomic status, or race/ethnicity. Patients who cited more triggers had more frequent flares (OR = 1.1, CI = 1.1, 1.2, p < .0001), worse quality of life scores (OR 1.6, CI = 1.1, 2.4, p = .02), and were more likely to have been previously hospitalized for asthma (OR = 1.9, CI = 1.3, 2.9, p = .003) and to have previously required oral corticosteroids (OR = 2.9, CI = 1.6, 5.1, p = .003). There was little clustering of specific triggers according to the variables we considered except for more frequent animal allergy in patients diagnosed at a younger age (OR = 2.8, CI = 1.7, 4.5, p < .0001) and worse quality of life in patients citing emotional stress as a trigger (OR = 2.5, CI = 1.5, 4.0, p = .0002). Patients attributed their current ED visit to multiple precipitants, particularly respiratory infections and weather, and these were concordant with what they reported were known triggers. CONCLUSIONS: Patients presenting to the ED for asthma reported multiple triggers spanning diverse classes of precipitants and having more triggers was associated with worse clinical status. ED patients should be instructed that although it may not be possible to eliminate all triggers, mitigating even some triggers can be helpful.

Improving patient flow in acute coronary syndromes in the face of hospital crowding.

BACKGROUND: The current paradigm for the evaluation of patients with suspected acute coronary syndromes (ACS) in the emergency department (ED) is focused on the identification of patients with active underlying coronary disease. The majority of patients evaluated in the ED setting do not have active underlying cardiac disease. OBJECTIVE: To measure the effect of bedside point-of-care (POC) cardiac biomarker testing on telemetry unit admissions from the ED. Furthermore, to evaluate the effect telemetry admissions have on ED length of stay (LOS) and overall hospital LOS. METHODS: Primary data were collected over two 6-month periods in an urban teaching hospital ED. This was an observational cohort study conducted pre- and post-availability of a POC testing platform for cardiac biomarkers. Major measures included number of overall telemetry admissions, ED LOS, hospital LOS, and disposition. Patients were followed at 30 days for significant cardiac events, repeat ED visit or admission, and death. RESULTS: In the post-implementation period there was a 30% (95% confidence interval [CI] 36-44%) reduction in admissions to telemetry with a 33% (95% CI 26-39%) reduction in ED LOS and a 20% (95% CI 7-34%) reduction in hospital LOS. There was a 62% reduction in overall mortality between the pre-implementation period and the post-implementation period (p=0.001). CONCLUSION: The focused use of a rapid cardiac disposition protocol can dramatically impact resource utilization, expedite patient flow, and improve short-term outcomes for patients with suspected ACS.

Clinical variables for predicting type-1 and type-2 non-ST segment elevation myocardial infarction in those presenting with ischemic symptoms.

Introduction: The accuracy of detecting myocardial infarction (MI) has greatly improved with the advent of more sensitive assays, and this has led to etiologic subtyping. Distinguishing between type 1 and type 2 non-ST-segment elevation myocardial infarction (NSTEMI) early in the clinical course allows for the most appropriate advanced diagnostic procedures and most efficacious treatments. The purpose of this study was to investigate the predictive effect of demographic and clinical variables on predicting NSTEMI subtypes in patients presenting with ischemic symptoms. Material and methods: We performed a single institution retrospective cohort study of patients who presented to the emergency department (ED) with ischemic signs and symptoms consistent with non-ST-segment myocardial infarction, for whom results of coronary angiography were available. We analyzed demographic, laboratory, echocardiography and angiography data to determine predictors of NSTEMI sub-types. Results: Five hundred and forty-six patients were enrolled; 426 patients were found on coronary angiography to have type 1 acute MI (T1AMI), whereas 120 patients had type 2 acute MI (T2AMI). Age (OR per year = 1.03 (1.00, 1.05), p = 0.03), prior MI (OR = 3.50 (1.68, 7.22), p = 0.001), L/H > 2.0 (OR = 1.55 (1.12, 2.13), p = 0.007), percentage change in troponin I > 25% (OR = 2.54 (1.38, 4.69), p = 0.003), and regional wall motion abnormalities (RWMA) (OR = 3.53 (1.46, 8.54), p = 0.004) were independent predictors of T1AMI, whereas sex, race, body mass index, hypertension, end-stage renal disease (ESRD), heart failure, family history (FH) of coronary artery disease (CAD), HbA1c, and left ventricular ejection fraction (LVEF) were not. Conclusions: Key clinical variables such as age, prior MI, L/H ratio, percentage change in troponin I, and presence of RWMA on echocardiogram may be utilized as significant predictors of T1AMI in patients presenting with ischemic symptoms to the ED.

A randomized controlled trial of self-management education for asthma patients in the emergency department.

STUDY OBJECTIVE: Patients using the emergency department (ED) for asthma may benefit from self-management education. Our goal is to test an educational intervention in 296 asthma ED patients. METHODS: This was a randomized controlled trial with concealed allocation. Controls received instruction from an asthma knowledge test, peak flowmeter training, and asthma brochures. Intervention patients received these plus a self-management workbook, a behavioral contract, inhaler training, and telephone reinforcements. The main outcome was change in Asthma Quality of Life Questionnaire (AQLQ) score at 8 weeks (a change of 1.5 is a marked clinically important difference). Secondary outcomes were repeated ED visits and change in AQLQ scores at 4, 12, and 16 weeks and 1 year. RESULTS: Mean age of patients was 44 years, and 93% had the 8-week follow-up. Enrollment AQLQ scores were comparable and increased at 8 weeks by more than a marked clinically important difference in both groups. For controls, the change in score was 1.95 (95% confidence interval [CI] 1.74 to 2.16; P<.001), for intervention patients the change in score was 1.83 (95% CI 1.64 to 2.03; P<.001), and the difference between groups was 0.11 (95% CI -0.17 to 0.40; P=.43). Patients who improved more (ie, change was above the group mean) were more likely to be high school graduates (odds ratio=1.9; 95% CI 1.0 to 3.8), previous or current smokers at enrollment (odds ratio=2.2; 95% CI 1.3 to 3.5), and to have been admitted to the hospital from the ED (odds ratio=1.7; 95% CI 1.0 to 2.8). Similar variables were associated with AQLQ outcomes in hierarchic analyses during 16 weeks. Repeated ED visits occurred for 12% of patients at 8 weeks and in multivariate analysis were associated with no hospitalization for the index ED visit, difficult access to outpatient care, and previous ED visits. Fewer patients (16%) had an ED visit at 12 weeks compared with a similar time before enrollment (36%). CONCLUSION: Patients in both groups had marked sustained improvements in clinical status 16 weeks after an ED visit for asthma. A self-management education intervention delivered in the ED and reinforced by telephone was successfully implemented, with high retention rates, but did not provide incremental benefit for quality of life and short-term repeated ED visit outcomes.

The effect of cardiac geometry variation according to sex and race on outcomes in patients with acute coronary syndrome undergoing percutaneous coronary intervention.

INTRODUCTION: The prevalence and long-term consequences of differences in baseline cardiac geometry (as a result of hypertension) in patients undergoing percutaneous coronary intervention (PCI) for acute coronary syndrome (ACS) are ill-defined. The primary purpose of this study was to clarify whether there were differences among sexual and racial groups in echocardiographic findings reflecting cardiac geometry and adaptation in patients undergoing PCI for ACS and whether this could explain the differences in outcomes seen between these groups. MATERIAL AND METHODS: We analyzed 1-year follow-up data from a single institution, a retrospective, observational study that enrolled 1,153 patients who presented with ACS and were treated with PCI, for whom echocardiographic data were available. RESULTS: Normal, concentric hypertrophy, and eccentric hypertrophy in males vs. females were observed as follows: 29% vs. 19% (p = 0.001), 25% vs. 31% (p = 0.02), and 8% vs. 14% (p = 0.004), respectively. The primary endpoint of all-cause death (n = 89, 7.7%) occurred in 48 (10.5%) females and in 41 (8.2%) males, p = 0.03. Major adverse cardiac events and bleeding (MACE-B - all-cause death, non-fatal myocardial infarction, stroke or hospitalization for bleeding) was higher among women than men (21.6% vs. 13.5%, p = 0.0002). Males with eccentric hypertrophy (EH) had similar MACE-B outcomes as females with EH 1-year post-PCI (29% vs. 32%, respectively, p = 0.77). CONCLUSIONS: Females undergoing PCI for ACS are at higher risk for worse outcomes because they are more likely to express the eccentric hypertrophy phenotype; however, it did not account for the difference in adverse outcomes observed between sexes.

Impact of a scribe program on patient throughput, physician productivity, and patient satisfaction in a community-based emergency department.

Previous literature on the impact of scribe programs varies and has mostly been reported from academic institutions or other clinics. We report the implementation of the scribe program in the emergency room of a community hospital and its impact on patient throughput, physician productivity, and patient satisfaction. We performed a quasi-experimental, before-and-after study measuring patient throughput metrics, physician productivity, and patient satisfaction. The intervention measuring the scribe implementation was divided into pre- and post-implementation periods. Patient throughput metrics were (1) door-to-room time, (2) room-to-doc time, (3) door-to-doc time, (4) doc-to-disposition time, and (5) length of stay for discharged/admitted patients. Our secondary outcome was physician productivity, which was calculated by measuring total patients seen per hour and work relative value units per hour. Additionally, we calculated the time-motion analysis in minutes to measure the emergency department physician's efficiency by recording the following: (1) chart preparation, (2) chart review, (3) doctor-patient interaction, (4) physical examination, and (5) post-visit documentation. Finally, we measured patient satisfaction as provided by Press Ganey surveys. Data analysis was conducted in 12,721 patient encounters in the pre-scribe cohort, and 13,598 patient encounters in the post-scribe cohort. All the patient throughput metrics were statistically significant (p < 0.0001). The patients per hour increased from 2.3 ± 0.3 pre-scribe to 3.2 ± 0.6 post-scribe cohorts (p < 0.001). Total work relative value units per hour increased from 241(3.1 ± 1.5 per hour) pre-scribe cohort to 336 (5.2 ± 1.4 per hour) post-scribe cohort (p < 0.001). The pre-scribe patient satisfaction was high and remained high in the post-scribe cohort. There was a significant increase in the clinician providing satisfactory feedback from the pre-scribe (3.9 ± 0.3) to the post-scribe (4.7 ± 0.1) cohorts (p < 0.01). We describe a prospective trial of medical scribe use in the emergency department setting to improve patient throughput, physician productivity, and patient satisfaction. We illustrate that scribe use in community emergency department is feasible and results in improvement in all three metrics.

Erratum: This Article Corrects: "Assessment of Physician Well-being, Part Two: Beyond Burnout".

This corrects West J Emerg Med. 2019 March;20(2):291-304. Assessment of Physician Well-being, Part Two: Beyond Burnout Lall MD, Gaeta TJ, Chung AS, Chinai SA, Garg M, Husain A, Kanter C, Khandelwal S, Rublee CS, Tabatabai RR, Takayesu JK, Zaher M, Himelfarb NT. Erratum in West J Emerg Med. 2020 May;21(3):727. Author name misspellled. The sixth author, originally published as Abbas Hussain, MD is revised to Abbas Husain, MD. Abstract: Part One of this two-article series reviews assessment tools to measure burnout and other negative states. Physician well-being goes beyond merely the absence of burnout. Transient episodes of burnout are to be expected. Measuring burnout alone is shortsighted. Well-being includes being challenged, thriving, and achieving success in various aspects of personal and professional life. In this second part of the series, we identify and describe assessment tools related to wellness, quality of life, resilience, coping skills, and other positive states.

Impact of a scribe program on patient throughput, physician productivity, and patient satisfaction in a community-based emergency department.

Previous literature on the impact of scribe programs varies and has mostly been reported from academic institutions or other clinics. We report the implementation of the scribe program in the emergency room of a community hospital and its impact on patient throughput, physician productivity, and patient satisfaction. We performed a quasi-experimental, before-and-after study measuring patient throughput metrics, physician productivity, and patient satisfaction. The intervention measuring the scribe implementation was divided into pre- and post-implementation periods. Patient throughput metrics were (1) door-to-room time, (2) room-to-doc time, (3) door-to-doc time, (4) doc-to-disposition time, and (5) length of stay for discharged/admitted patients. Our secondary outcome was physician productivity, which was calculated by measuring total patients seen per hour and work relative value units per hour. Additionally, we calculated the time-motion analysis in minutes to measure the emergency department physician's efficiency by recording the following: (1) chart preparation, (2) chart review, (3) doctor-patient interaction, (4) physical examination, and (5) post-visit documentation. Finally, we measured patient satisfaction as provided by Press Ganey surveys. Data analysis was conducted in 12,721 patient encounters in the pre-scribe cohort, and 13,598 patient encounters in the post-scribe cohort. All the patient throughput metrics were statistically significant (p < 0.0001). The patients per hour increased from 2.3 ± 0.3 pre-scribe to 3.2 ± 0.6 post-scribe cohorts (p < 0.001). Total work relative value units per hour increased from 241(3.1 ± 1.5 per hour) pre-scribe cohort to 336 (5.2 ± 1.4 per hour) post-scribe cohort (p < 0.001). The pre-scribe patient satisfaction was high and remained high in the post-scribe cohort. There was a significant increase in the clinician providing satisfactory feedback from the pre-scribe (3.9 ± 0.3) to the post-scribe (4.7 ± 0.1) cohorts (p < 0.01). We describe a prospective trial of medical scribe use in the emergency department setting to improve patient throughput, physician productivity, and patient satisfaction. We illustrate that scribe use in community emergency department is feasible and results in improvement in all three metrics.

Assessment of Physician Well-being, Part One: Burnout and Other Negative States.

Physician well-being is a complex and multifactorial issue. A large number of tools have been developed in an attempt to measure the nature, severity, and impact of both burnout and well-being in a range of clinical populations. This two-article series provides a review of relevant tools and offers guidance to clinical mentors and researchers in choosing the appropriate instrument to suit their needs, whether assessing mentees or testing interventions in the research setting. Part One begins with a discussion of burnout and focuses on assessment tools to measure burnout and other negative states. Part Two of the series examines the assessment of well-being, coping skills, and other positive states.

Assessment of Physician Well-being, Part Two: Beyond Burnout.

Part One of this two-article series reviews assessment tools to measure burnout and other negative states. Physician well-being goes beyond merely the absence of burnout. Transient episodes of burnout are to be expected. Measuring burnout alone is shortsighted. Well-being includes being challenged, thriving, and achieving success in various aspects of personal and professional life. In this second part of the series, we identify and describe assessment tools related to wellness, quality of life, resilience, coping skills, and other positive states.

ICD-9-CM coding of emergency department visits for food and insect sting allergy.

PURPOSE: Little is known about the role of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes for identification of specific allergic reactions in the emergency department (ED). METHODS: Investigators in 10 EDs reviewed 1395 charts of consecutive patients presenting with food allergy (ICD-9-CM codes 693.1 and 995.60 to 995.69) and insect sting allergy (code 989.5). They also reviewed charts of patients with "unspecified" allergic reactions (codes 995.0 [other anaphylactic shock] and 995.3 [allergy, unspecified]) to identify additional patients with food or insect sting allergy. RESULTS: Of 406 patients with food allergy, 216 patients (53%) were coded as food allergy, whereas the remaining 190 patients (47%) were not. Of 394 patients with insect sting allergy, 341 (87%) were coded as insect sting allergy, whereas 53 patients (13%) were not. Characteristics of ICD-9-CM-identified compared with chart-review-identified patients differed for both food and insect sting allergy. ICD-9-CM-identified patients with food allergy were less likely to experience anaphylaxis. CONCLUSIONS: Almost half the patients with food allergy would have been missed by using food-specific ICD-9-CM codes alone, whereas only 13% of patients with insect sting allergy would have been missed. Furthermore, characteristics of these allergy patients would have been biased by studying only patients identified by using the allergen-specific ICD-9-CM codes.

Classifying patients suspected of appendicitis with regard to likelihood.

BACKGROUND: We sought to develop a clinical predictive model for acute appendicitis and contrast it with current clinical practice. METHODS: A prospective observational study of patients presenting with signs or symptoms consistent with acute appendicitis. Random-partition modeling was used to develop an appendicitis likelihood model (ALM). RESULTS: Four hundred thirty-nine patients were enrolled, 101 with appendicitis, and 338 with other diagnoses. The ALM classified patients as "low likelihood" if they had a white blood cell count <9,500 and either no right lower-quadrant tenderness or a neutrophil count <54%. Patients were classified as "high likelihood" if they had a white blood cell count >13,000 with rebound tenderness or both voluntary guarding and neutrophil count >82%. The ALM outperformed actual clinical practice with regard to "missed" appendicitis, negative laparotomies, and total number of imaging studies. CONCLUSION: The ALM may permit more judicious use of advanced radiographic imaging with lower nontherapeutic laparotomy rates.

Asthma exacerbations in North American adults: who are the "frequent fliers" in the emergency department?

OBJECTIVE: To characterize adult asthma patients according to frequency of emergency department (ED) visits in the past year. DESIGN: Adults presenting with acute asthma to 83 US EDs underwent structured interviews in the ED and by telephone 2 weeks later. RESULTS: The 3,151 enrolled patients were classified into four groups: those reporting no ED visits in the past year (27%), one to two visits (27%), three to five visits (25%), and six or more visits (21%). The number of ED visits (NEDV) was associated with older age, nonwhite race, lower socioeconomic status, and several markers of chronic asthma severity (all p < 0.001). NEDV was strongly associated with Medicaid insurance (17% among those with no visits, 22% with one to two visits, 30% with three to five visits, 39% with six or more visits; p < 0.001). NEDV was unrelated to gender or having a primary care provider (PCP). In a multivariate model, independent predictors of high ED use (six or more visits a year) were nonwhite race, Medicaid, other public, and no insurance, and markers of chronic asthma severity. Patients with six or more ED visits accounted for 67% of all prior ED visits in the past year. CONCLUSIONS: High NEDV is associated with characteristics that may help with identification of "frequent fliers" in the ED. A better understanding of these characteristics may advance ongoing efforts to decrease asthma health-care disparities, including differential access to primary asthma care. National guidelines recommend specific ED treatments then referral to a PCP. Although longitudinal care is surely important, attempts to reduce frequent ED asthma visits may be better directed toward more specific preventive and educational needs.