Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health

Background: Timely activation of primary percutaneous coronary intervention (PCI) is crucial for patients with ST-segment elevation myocardial infarction (STEMI). Door-to-balloon (DTB) time, representing the duration from patient arrival to balloon inflation, is critical for prognosis. However, the specific time segment within the DTB that is most associated with long-term mortality remains unclear. In this study we aimed to identify the target time segment within the DTB that is most associated with one-year mortality in STEMI patients.

Methods: We conducted a retrospective cohort study at a tertiary teaching hospital. All patients diagnosed with STEMI and activated for primary PCI from the emergency department were identified between January 2013–December 2021. Patient demographics, medical history, triage information, electrocardiogram, troponin-I levels, and coronary angiography reports were obtained. We divided the DTB time into door-to-electrocardiogram (ECG), ECG-to-cardiac catheterization laboratory (cath lab) activation, activation-to-cath lab arrival, and cath lab arrival-to-balloon time. We used Kaplan-Meier survival analysis and multivariable Cox proportional hazards models to determine the independent effects of these time intervals on the risk of one-year mortality.

Results: A total of 732 STEMI patients were included. Kaplan-Meier analysis revealed that delayed door-to-ECG time (>10 min) and cath lab arrival-to-balloon time (>30 min) were associated with a higher risk of one-year mortality (log-rank test, P < .001 and P = 0.01, respectively). In the multivariable Cox models, door-to-ECG time was a significant predictor for one-year mortality, whether it was analyzed as a dichotomized (>10 min vs ≤10 min) or a continuous variable. The corresponding adjusted hazard ratios (aHR) were 2.81 (95% confidence interval [CI] 1.42–5.55) for the dichotomized analysis, and 1.03 (95%CI 1.00–1.06) per minute increase, respectively. Cath lab arrival-to-balloon time also showed an independent effect on one-year mortality when analyzed as a continuous variable, with an aHR of 1.02 (95% CI 1.00–1.04) per minute increase. However, ECG-to-cath lab activation and activation-to-cath lab arrival times did not show a significant association with the risk of one-year mortality.

Conclusion: Within the door-to-balloon interval, the time from door-to-ECG completion is particularly crucial for one-year survival after STEMI, while cath lab arrival-to-balloon inflation may also be relevant.

Introduction: Assessing cardiac function is crucial for managing acute dyspnea. In this study we aimed to evaluate displacement of the aortic root (DAR) as a method for calculating ejection fraction (EF) in patients with undifferentiated dyspnea presenting to the emergency department (ED). The primary objective was to compare EF values obtained through DAR with the modified Simpson method, which is considered the criterion reference, within an Indian academic ED.

Methods: We conducted a prospective, cross-sectional study spanning two years (December 2019–December 2021). The study enrolled 110 consecutive ED patients ≥18 years of age, presenting with undifferentiated dyspnea and normal sinus rhythm. Ultrasound-trained investigators measured DAR using M-mode ultrasonography. Experienced echocardiographers, blinded to DAR, determined EF using the modified Simpson method. Statistical analyses included the Shapiro-Wilk test, McNemar test, and the receiver operating characteristic curve.

Results: The mean DAR measurement was 0.781 centimeters, with an average calculated EF of 54.4%. The EF calculated using DAR did not differ significantly from EF calculated using the modified Simpson method. Comparative analysis revealed DAR’s superior sensitivity (86.21%) compared to mitral annular plane systolic excursion (48.28%) and end-point septal separation (45.45%). The DAR method exhibited high accuracy (area under the curve = 0.958) with a cut-off value 0.706 (sensitivity 88.7%, specificity 93.1%).

Conclusion: Evaluating displacement of the aortic root to calculate ejection fraction in undifferentiated dyspnea demonstrated high accuracy, sensitivity, and agreement with the modified Simpson method, which is considered the criterion reference. Its simplicity and non-invasiveness makes it a valuable initial screening tool in emergency settings, with the potential to reshape cardiac assessment approaches and optimize patient care pathways in the ED. 

Introduction: Procedural sedation (PS) is commonly performed in the emergency department (ED). Nil per os (nothing by mouth) (NPO) guidelines extrapolated from standards for patients undergoing elective procedures in the operating room have been applied to ED PS patients. There has been no large study of ED PS patients comparing differences in adverse events and PS success rates based on NPO status.

Methods: From a cohort of consecutive ED PS patients of all ages in the 20 EDs of one hospital system—one quaternary ED, four tertiary EDs, six community hospital EDs, one rural ED, two pediatric EDs, and six freestanding EDs in two states in the Midwest and South—we conducted a retrospective analysis on a prospective database over 183 months from April 2000–June 2015. Primary outcome was the incidence of side effects and complications, which comprised the adverse effects. The side effects were nausea, vomiting, itching/rash, emergence reaction, myoclonus, paradoxical reaction, cough, and hiccups. Complications were oxygen desaturation <90%, respiratory depression (respiratory rate <8), apnea, tachypnea, hypotension, hypertension, bradycardia, and tachycardia. Normal vital signs were age dependent. Secondary outcome was successful sedation defined as completion of the procedure. We examined the association between adverse events and successful sedation with NPO status.

Results: Of 3,274 visits, exact NPO status was known in 2,643 visits. Comparison of NPO <8 hours in 1,388 patients vs ≥ 8 hours in 1,255 patients revealed side effects 5.5% vs 4.5% (P = 0.28); complications 11.9% vs 17.7% (P < 0.001); adverse events 16.3% vs 21.5% (P < 0.001), interventions 4.1% vs 4.4% (P = 0.73), and procedural completions 94.3% vs 89.7% (P < 0.001). After adjustment for age, sex, transfer status, American Society of Anesthesiology physical status classification, race, primary sedative, multiple sedatives, sedative plus analgesic, and primary analgesic, we found no association betweenNPOstatus and side effects (P = 0.68), complications (P = 0.48), or adverse effects (P = 0.26); however, procedural completion rate remained significantly higher for NPO < 8 hours (P = 0.007).

Conclusion: A nil per os status ≥8 hours may have similar or worse outcomes than NPO <8 hours, which is contrary to many suggested guidelines. Strict adherence to NPO guidelines in ED procedural sedation patients may not be necessary.

Immune checkpoint inhibitors (ICI), such as pembrolizumab, nivolumab, durvalumab and ipilimumab, have significantly enhanced survival rates for multiple cancer types such as non-small cell lung cancer, melanoma, Hodgkin lymphoma, and breast cancer, and they have emerged as an adjunct or primary therapy for malignant disease. Approximately 40% of patients with cancer on ICI therapy experience side effects called immune-related adverse events (irAE). While not the most common, pulmonary toxicities can be rapidly progressive, potentially fatal, and pose a three-fold increased risk for requiring intensive care unit-level of care. Pneumonitis is a focal or diffuse inflammation of the lung parenchyma, and clinical manifestations may be highly variable. While the onset is generally observed 6–12 weeks after the initiation of therapy, drug toxicity can develop rapidly within days after the first infusion or many months into therapy. Pneumonitis symptoms can be subtle or non-specific; therefore, a thorough and systematic evaluation considering other possible etiologies is crucial. Moreover, extrapulmonary findings, such as skin lesions, colitis, or endocrinopathies, should raise suspicion for irAE as drug toxicity can affect multiple organs simultaneously. Due to the significant overlap of clinical features between ICI-associated pneumonitis and respiratory infections, it can be challenging to differentiate the two conditions based on clinical presentation alone. A multidisciplinary approach to management is recommended for the treatment of ICI-associated pneumonitis, and classification of severity helps to guide interventions. Treatment options in more severe cases include systemic immunosuppression. Given the increased use of ICIs and greater probability that patients with ICI-associated pneumonitis will be seen in the emergency department, we aimed to provide a comprehensive framework for the diagnosis and management. In addition, identifying potential challenges in diagnosis and/or other contributors of respiratory symptoms and radiographic manifestations is highlighted.

Introduction: Most pulmonary embolism response teams (PERT) use a radiologist-determined right ventricle to left ventricle ratio (RV:LV) cut-off of 1.0 to risk-stratify pulmonary embolism (PE) patients. Continuous measurements from computed tomography pulmonary angiograms (CTPAs) may improve risk stratification. We assessed associations of CTPA cardiac measurements with acute clinical deterioration and use of advanced PE interventions.

Methods: This was a retrospective study of a PE registry used by eight affiliated emergency departments. We used an artificial intelligence (AI) algorithm to measure RV:LV on anonymized CTPAs from registry patients for whom the PERT was activated (2018–2023) by institutional guidelines. Primary outcome was in-hospital PE-related clinical deterioration defined as cardiac arrest, vasoactive medication use for hypotension, or rescue respiratory interventions. Secondary outcome was advanced intervention use. We used bivariable and multivariable analyses. For the latter, we used least absolute shrinkage and selection operator (LASSO) and random forest (RF) to determine associations of all candidate variables with the primary outcome (clinical deterioration), and the Youden index to determine RV:LV optimal cut-offs for primary outcome.

Results: Artificial intelligence analyzed 1,467 CTPAs, with 88% agreement on RV:LV categorization with radiologist reports (kappa 0.36, 95% confidence interval [CI] 0.28–0.43). Of 1,639 patients, 190 (11.6%) had PE-related clinical deterioration, and 314 (19.2%) had advanced interventions. Mean RV:LV were 1.50 (0.39) vs 1.30 (0.32) for those with and without clinical deterioration and 1.62 (0.33) vs 1.35 (0.32) for those with and without advanced intervention use. The RV:LV cut-off of 1.0 by AI and radiologists had 0.02 and 0.53 P-values for clinical deterioration, respectively. With adjusted LASSO, top clinical deterioration predictors were cardiac arrest at presentation, lowest systolic blood pressure, and intensive care unit admission. The RV:LV measurement was a top 10 predictor of clinical deterioration by RF. Optimal cut-off for RV:LV was 1.54 with odds ratio of 2.50 (1.85, 3.45) and area under the curve 0.6 (0.66, 0.70).

Conclusion: Artifical intelligence-derived RV:LV measurements ≥1.5 on initial CTPA had strong associations with in-hospital clinical deterioration and advanced interventions in a large PERT database. This study points to the potential of capitalizing on immediately available CTPA RV:LV measurements for gauging PE severity and risk stratification.

Introduction: The 2023 National Residency Matching Program (NRMP) Match in emergency medicine (EM) left 554 spots and 132 EM programs unfilled. The Council of Residency Directors Match Task Force sought to characterize the programs that did and did not fill, learn more about their Supplemental Offer and Acceptance Program (SOAP) applicants, determine residency programs’ needs for future NRMP Matches, and inquire what actions program leaders would like to see to promote a healthy future for training in EM.

Methods: We conducted a web-based survey of EM residency program leadership during March and April 2023. We generated descriptive statistics from these survey results. Thematic analysis was used for free-text responses.

Results: Of 287 programs, 160 (55.7%) responded to the survey, including 59 of 132 programs (44.7%) that did not fill in the Match. Unfilled programs were overall content with the quality of applicants in the SOAP. Programs expressed varying opinions on why fewer students are choosing EM. While most agreed there are concerns about the workforce (78.1%), even more spread exists on what actions should be taken to help support the future of residency training in EM.

Conclusion: Here we present data regarding the 2023 Match environment for EM and describe a residency program-level needs assessment and desire for action. Annual review of the Match data and residency program needs should be continued until we see improvement in the Match environment for EM.

Background: Burnout is prevalent in medical training, and some data indicates certain personality types are more susceptible. The criterion reference for measurement of burnout is the Maslach Burnout Inventory (MBI), which scores three factors: emotional exhaustion (EE); depersonalization (DP); and personal accomplishment (PA). Emotional exhaustion most closely correlates with burnout. Studies have yet to evaluate a link between burnout markers and certain personality traits in emergency medicine (EM) residents. The personality traits of openness, agreeableness, extraversion, conscientiousness, and neuroticism can be measured with a 50-item International Personality Item Pool (IPIP) Big 5 survey. Our goal in this study was to be the first to examine the relationship between personality traits and burnout among EM residents and guide future research on potential predictors of burnout and targeted interventions for resident well-being.

Methods: This was an observational, cross-sectional study conducted in March and April of 2023 in an urban, Level II trauma center, involving all EM residents at a three-year residency program. Two surveys, the IPIP and MBI-Human Services Survey, were distributed to all residents, and their responses were anonymous. We calculated raw/mean scores and standard deviations for each personality trait/burnout measure and compared them by the Pearson correlation coefficient.

Results: All 38 residents completed the surveys. A total of 31% of the cohort reported high exhaustion, 13% reported high DP, and 42% reported low PA. Two of 38 (5%) residents reported the combination of high EE, high DP, and low PA. There was a statistically significant negative correlation between conscientiousness and EE (n = 38; Pearson r = −0.40, P < 0.001) and a positive correlation between conscientiousness and PA (n = 38; Pearson r = 0.36, P = 0.03).

Conclusion: In our sample, residents who were more conscientious reported experiencing lower levels of emotional exhaustion and a greater sense of personal accomplishment. Programs may cautiously explore the potential of assessing resident personality traits as part of broader efforts to identify predictors of burnout, but further research with larger, multicenter, longitudinal samples is needed to corroborate these results. The small sample size and single-center design may limit generalizability of these findings, and the use of self-reported measures introduces the risk of response bias.

Introduction: Throughout training, an emergency medicine (EM) resident is required to increase efficiency and productivity to ensure safe practice after graduation. Multitasking is one of the 22 Accreditation Council for Graduate Medical Education (ACGME) EM milestones and is often measured through evaluations and observation. Providing quantitative data to both residents and residency administration on patients seen per hour (PPH) and efficiency could improve a resident experience and training in many ways. Our study was designed to analyze various throughput metrics and productivity trends using applied mathematics and a robust dataset. Our goals were to define the curve of resident PPH over time, adjust for relevant confounders, and analyze additional efficiency metrics related to throughput such as door-to-decision time (DTDT).

Methods: We used a retrospective, observational design in a single, tertiary-care center emergency department (ED) that sees approximately 110,000 adult patients per year; our study spanned the period July 1, 2019–December 31, 2021. A total of 42 residents from an ACGME-accredited three-year residency were included in the analysis. We excluded patients <18 years of age. Data was collected using a secure data vendor, and we created an exponential regression model to assess resident PPH data. Additional models were created accounting for patient covariates.

Results: We analyzed a total of 79,232 patients over 30 months. Using an exponential equation and adjusting for patient covariates, median PPH started at 0.898 and ended at 1.425 PPH. The median PPH by postgraduate (PGY) year were 1.13 for PGY 1; 1.38 for PGY 2; and 1.38 for PGY 3. Median DTDT in minutes was as follows: 185 minutes for PGY 1; 171 for PGY 2; and 166 for PGY 3.

Conclusion: Productivity and efficiency metrics such as PPH and DTDT data are an essential part of working in an ED. Our study shows that residents improve with number of patients seen per hour over three years but tend to plateau in their second year. Door-to-decision time continued to improve throughout their three years of training.

Introduction: Patients seen per hour (PPH) is a popular metric for emergency medicine (EM) resident efficiency, although it is likely insufficient for encapsulating overall efficiency. In this study we explored the relationship between higher patient complexity, acuity on shift, and markers of clinical efficiency.

Methods: We performed a retrospective analysis using electronic health record data of the patients seen by EM residents during their final year of training who graduated between 2017–2020 at a single, urban, academic hospital. We compared the number of PPH seen during the third (final) year to patient acuity (Emergency Severity Index), complexity (Current Procedural Terminology codes [CPT]), propensity for admissions, and generated relative value units (RVU).

Results: A total of 46 residents were included in the analysis, representing 178,037 total cases. The number of PPH increased from first to second year of residency and fell slightly during the third year of residency. Overall, for each 50% increase in the odds of treating a patient requiring high-level evaluation and management (CPT code 99215), there was a 7.4% decrease in mean PPH. Each 50% increase in odds of treating a case requiring hospital admission was associated with a 6.7% reduction (95%confidence interval [CI] 0.73–12%; P = 0.03) in mean PPH. Each 0.1-point increase in PPH was associated with a 262 (95% CI 157–367; P < 0.001) unit increase in average RVUs generated.

Conclusion: Seeing a greater number of patients per hour was associated with a lower volume of complex patients and patients requiring admission among EM residents.

Introduction: Emergency medicine (EM) historically enjoyed a nearly 100% match rate. A rapid change saw 46% of EM programs with one or more unfilled positions after the 2023 Match. Much has been discussed about potential causes, and characteristics of unfilled programs have been investigated. We surveyed recent applicants to EM to further understand what continues to draw them to EM and what concerns deter them from choosing a career in EM.

Methods: A cross-sectional, mixed methods survey was distributed in the summer of 2023 to a convenience sample of respondents via the listservs of national EM resident and student organizations as well as clerkship directors in EM. We did not calculate response rate due to listserv convenience sampling. A total of 213 responses were received, representing 7.7% of the total number of EM applicants (2,765) in 2023. Applicants were asked to rank from 1 to 5 their experiences with EM and the characteristics of the specialty that were important in their career decision. We calculated means and 95% confidence intervals for quantitative results. We performed qualitative analysis of free-text responses to identify themes.

Results: Positive factors for applicants were interactions with EM faculty (4.29 on 1–5 scale) and residents (4.42) as well as clinical experiences in third-year (4.53) and fourth-year clerkships (4.62). Applicants continue to be drawn to EM by the variety of pathology encountered (4.66), flexible lifestyle (4.63), and high-acuity patient care (4.43). Most applicants (68.5%) experienced advisement away from EM. Of those who received negative advisement, non-emergency physicians were the most common source (73.3%). Factors negatively influencing a career choice in EM were corporate influence (2.51), ED crowding (2.52), burnout (2.59), presence of advanced practice practitioners (APP) in EM (2.63), and workforce concerns (2.85). Job concerns stemming from the 2021 EM workforce report were identified by respondents as the primary reason for recent Match results.

Conclusion: Applicants noted clinical experiences in the emergency department and interactions with EM attendings and residents as positive experiences. High-acuity patient care, variety of pathology, and flexible lifestyle continue to attract applicants. Applicants identified EM workforce concerns as the primary contributor to recent EM Match results. Corporate influence, ED crowding, burnout, and presence of APPs in the ED were also significant issues.

Introduction: Readiness to perform a wide variety of procedures or manage nearly any patient presentation remains an essential aspect of emergency medicine training and practice. Often, simulation is needed to supplement real-life exposure to provide comfort and knowledge, particularly with rarer pathology and procedures. As the scope of practice continues to grow, newer procedures, such as ultrasound (US)-guided nerve blocks (UGNB), are becoming integrated into resident training, building on previously established skills. The fascia iliaca compartment block (FICB) is performed on patients with specific femoral fractures and is a now a component of standard multimodal pain regimens, with US-guidance limiting adverse events. Given the need for high volumes of local anesthetic to perform the block it is imperative for clinicians to understand dosing as well as recognize and treat local anesthetic systemic toxicity (LAST). With sparse literature on sequential immersive and procedural simulation involving intertwined topics, this presents a unique opportunity for learners.

Methods: To study the perceived knowledge and comfort with FICB and LAST, a pilot study was developed with two separate but concurrent one-hour simulations completed encompassing one of each topic over one day. We surveyed 19 learners, consisting of residents ranging from postgraduate years 1–3, prior to and immediately following completion, regarding their perceptions. We used the Stuart-Maxwell test to compare survey data.

Results: More than half of participants (56%) had not received prior formal training on FICB. There was a positive trend in perceived confidence and knowledge with visualizing relevant anatomy (4.0 [2.0–6.0] vs 9.0 [7.5–10.0], P = 0.10), performing FICB (4.0 [1.0–5.0] vs 9.0 [7.0–10.0, P = 0.08]), and perceived ability to teach their peers (3.0 [1.0–5.0] vs 8.5 [7.0–10.0], P = 0.20). Perceived ability in diagnosing and managing LAST also increased following the simulation (5.0 [3.0–6.0] vs 6.0 [6.0–7.0], P = 0.12 and 3.0 [2.0–6.0] vs 6.0 [6.0–7.0], P = 0.08, respectively).

Conclusion: Learners’ perceptions of this simulation experience echo the findings of previous studies in which simulation can be used to teach procedures and pathology; of note, however, we presented a novel experience with a combination of immersive and procedural simulation.

Introduction: Emergency cricothyrotomy is a rare but potentially life-saving procedure performed by emergency physicians. A comprehensive, dichotomous procedural checklist for emergency cricothyrotomy for emergency medicine (EM) resident education does not exist.

Objectives: We aimed to develop a checklist containing the critical steps for performing an open emergency cricothyrotomy, to assess performance of EM residents performing an open emergency cricothyrotomy using the checklist on a simulator, and to evaluate the reliability and validity of the checklist for performing the procedure.

Curricular Design: We developed a preliminary checklist based on literature review and sent it to experts in EM and trauma surgery. A modified Delphi approach was used to revise the checklist and reach consensus on a final version of the checklist. To assess usability of the checklist, we assessed EM residents using a cricothyrotomy task trainer. Scores were determined by the number of correctly performed items. We calculated inter-rater reliability using the Cohen kappa coefficient. Validity was assessed using the Welch t-test to compare the performance of residents who had and had not performed an open emergency cricothyrotomy, and we used analysis of variance to compare performance of postgraduate year (PGY) cohorts.

Impact/Effectiveness: The final 27-item checklist was developed after three rounds of revisions. Inter-rater reliability was strong overall (κ = 0.812) with individual checklist items ranging from slight to nearly perfect agreement. A total of 56 residents participated, with an average score of 14.3 (52.9%). Performance varied significantly among PGY groups (P < 0.001). Residents who had performed an emergency cricothyrotomy previously performed significantly better than those who had not (P = 0.005). The developed checklist, which can be used in procedural training for open emergency cricothyrotomy, suggests that improved training approaches to teaching and assessing emergency cricothyrotomy are needed given the overall poor performance of this cohort.

Introduction: Incorporating virtual interviews into residency recruitment may help diversify access to residency programs while reducing the cost involved with travel and lodging. Programs may be more likely to rank students they have met in person at an interview when compared to unknown virtual applicants. Our objective was to characterize home institution, in-state, and in-region match rates to emergency medicine (EM) residency programs for fourth-year medical students.

Methods: We used National Residency Matching Program data available to the program director to identify medical school and match location of fourth-year medical students who interviewed at a large EM residency program in the Midwest from 2018–2023. Students’ medical schools and ultimately matched programs were mapped to Electronic Residency Application Service geographic regions; subgroup analyses evaluated allopathic and osteopathic medical students separately. We used chi-square tests to compare proportions of students matching to home, in-state, or in-region programs across years.

Results: There were 1,401 applicants with match information available. The percentage of students matching to a home institution remained stable over the course of the study. The percentage of students matching to an in-state institution increased over the first two years of virtual interviews rising from 23.2%in the 2020 match to 30.8% in-state matches for the 2022 match. Chi-square tests did not reveal any significant differences among groups for all applicants. Allopathic medical students demonstrated a significant increase in matches to home institutions. In-region matches stayed relatively stable over the study time frame regardless of subgroup.

Conclusion: Virtual interviews changed the landscape of residency interviews. Home institution and in-state matches may be more likely for applicants from allopathic schools who participated in a virtual interview as both programs and applicants are more familiar with each other; however, our study did not find convincing evidence of this possibility among all applicants. Additional study is needed to determine ongoing effects of the transition to virtual interviews.

Introduction: Emergency physicians have the highest rates of burnout among our physician peers, with prior literature suggesting clinician schedules can play a significant role in burnout. We assessed our transition from a tenure- and age-based paradigm to an egalitarian, night shift buy-out program that allows schedule flexibility for physicians at all stages of their careers.

Methods: The night shift buy-out program was implemented in the emergency department (ED) of an academic, quaternary-care center that treats approximately 100,000 adult patients annually with 56 faculty emergency physicians. We sought to create a cost-neutral program, carefully balancing incentives between nocturnists and those wanting to reduce allotted night shifts. Ultimately, the program was designed to allow all faculty to buy out of any number of nights for $500 per night shift, with the funds generated used to increase nocturnist salaries. We analyzed two years of the program (July 2022–June 2024) to assess trends in night shift buy-outs, the primary outcome. We also conducted an all-faculty survey after the program’s first year to gauge sentiments about the program.

Results: Over two years, 22 faculty (42%) fully bought out of nights; an additional 10 (15%) bought out of some nights. By year two, the program could grant all faculty their preferred night-shift allotment. Faculty who bought out fully had worked longer in EM on average, worked fewer clinical hours per year, were more likely to be associate/full professors, and were less likely to be women. Nocturnists had the highest mean clinical hours of the four groups, had the lowest average tenure, and were least likely to be associate/full professors. A total of 86% of faculty responded to the survey, to which more than 80% of those buying out reported that reducing the night-shift burden was either “very important” or “critical for continuing in this job.”

Conclusion: Our academic ED transitioned from a tenure- and age-based, overnight shift paradigm to an egalitarian buy-out program that allows physicians flexibility at all career stages. This approach could improve career satisfaction and reduce burnout among emergency physicians.

Introduction: Advance practice clinicians (APC) play significant roles in academic and community emergency departments (ED). In attendings and residents, prior research demonstrated that productivity is dynamic and changes throughout a shift in a predictable way. However, this has not been studied in APCs. The primary outcome of this study was to model productivity for APCs in community EDs to determine whether it changes during a shift similar to the way it does for attendings and residents.

Methods: This was a retrospective, observational analysis of 10-hour APC shifts at two suburban hospitals, worked by 14 total individuals. We examined the number of patients seen per hour of the shift by experienced APCs who see all acuity and staff all patients with an attending. We used a generalized estimating equation to construct the model of hour-by-hour productivity change.

Results: We analyzed 862 shifts over one year across two sites, with three shift start times. Site 1 10 AM–8 PM saw an average of 13.31 (95% confidence interval [CI] 13.02–13.63) patients per shift; Site 2 8 AM–6 PM saw an average of 12.64 (95% CI 12.32–13.06) patients per shift; Site 2 4 PM–2 AM saw an average of 12.53 (95% CI 12.04–12.82) patients per shift. Across all sites and shifts, hour 1 saw the highest number of patients. Each subsequent hour was associated with a small, statistically significant decrease over the previous hours. This was most pronounced in the shift’s last two hours.

Conclusion: The productivity of APCs demonstrates a similar pattern of hourly declines observed in both resident and attending physicians. This corroborates prior findings that patients per hour is a dynamic variable, decreasing throughout a shift. This provides further external validity to prior research to include both APCs and community EDs. These departments must take this phenomenon into account, as it has scheduling and operational consequences.

Study Objective: We sought to determine the overall rates of traumatic injuries and whether the rates of traumatic injuries and various clinical outcomes differed among older patients presenting to a tertiary-care emergency department (ED) after a ground-level fall (GLF) and who underwent whole-body computed tomography.

Methods: We conducted a retrospective cohort study of patients ≥65 years of age who presented to the ED with a GLF and received a whole-body CT from January 1–December 31, 2021. Age was stratified into age groups: 65–74; 75–84; and 85+. We presented a descriptive analysis of traumatic injuries, intensive care unit (ICU) admissions, and all-cause mortality rates. We used multivariable logistic regression to determine the association between increasing age, traumatic injuries, and clinical outcomes.

Results: Of 638 patients in the cohort, 120 (18.9%) sustained thoracic injuries and 80 (12.5%) sustained intracranial hemorrhages. Only five (0.8%) patients sustained an intra-abdominal injury, while 134 (21.0%) were admitted to the ICU, and 31 (4.8%) died during their index hospitalization. Head injuries (odds ratio [OR] 6.21, 95% CI 3.65–10.6, P < 0.001) and thoracic injuries (OR 5.25, 95% CI 3.30–8.36, P < 0.001) were associated with increased odds of ICU admission, whereas head injuries (OR 3.21, 95%CI 1.41–7.31, P < 0.01) and cervical injuries (OR 3.37, 95% CI 1.08–10.5, P < 0.05) were associated with increased odds of in-hospital, all-cause mortality. There were no statistically significant differences in the rates of injuries sustained between the respective age groups. There was no association between increasing age and ICU admissions or in-hospital, all-cause mortality rates.

Conclusion: Among patients aged ≥65 years of age who presented to the ED after a ground-level fall and underwent whole-body CT, thoracic injuries and intracranial hemorrhages were associated with increased odds of ICU admissions. We found no significant differences in injury rates or outcomes across age groups, indicating that age alone should not guide ICU admission decisions. These findings suggest that the use of whole-body CT in this population should be selective and guided by clinical judgment rather than applied universally.

Background: Evidence shows that social risks are highly prevalent in the patient population that presents to the emergency department (ED) for care; however, understanding the relationship between social risk factors and ED utilization at the population level remains unknown.

Methods: We used the National Health Interview Survey from the 2016–2018 sample adult files. The sample included 82,364 individuals, representing a population size of 238,888,238. The primary independent variables included six social risk factors: economic instability; lack of community; educational deficit; food insecurity; social isolation; and inadequate access to care. The outcome included ED use in the prior year. Covariates included age, race/ethnicity, insurance status, obesity, mental health (depression/anxiety), and comorbidities. We ran logistic regression models to test the relationship between the independent and dependent variables adjusting for covariates.

Results: In the study sample, 20% had at least one ED visit in the prior year. In the fully adjusted model, individuals reporting economic instability (odds ratio [OR] 1.33, 95% confidence interval [CI] 1.25-1.42), lack of community (OR 1.10, 95% CI 1.05-1.15), educational deficit (OR 1.12, 95% CI 1.06-1.18), food insecurity (OR 1.77, 95% CI 1.66-1.89), and social isolation (OR 1.32, 95% CI 1.26-1.39) had significantly higher odds of ED use. Inadequate access to care was significantly related to lower odds of ED use (OR 0.75, 95% CI 0.69-0.81).

Conclusions: Social risk factors are significantly associated with higher odds of ED use in the United States adult population. Interventions that integrate social and medical needs are greatly needed, as is understanding the role that preventive medicine may play in reducing avoidable ED visits.

Introduction: The disproportionate impact of coronavirus 2019 (COVID-19) on Black and Hispanic communities has been widely reported. Many studies have used neighborhood racial/ethnic composition to study such disparities, but less is known about the interplay between individual race/ethnicity and neighborhood racial composition. Therefore, our goal in this study was to assess the relative contributions of individual and neighborhood risk to disparities in COVID-19 incidence and outcomes.

Methods: We performed a cross-sectional study of patients with emergency department (ED) and inpatient visits to an academic health system (12 hospitals; February 1–July 15, 2020). The primary independent variable was race/ethnicity; covariates included individual age, sex, comorbidity, insurance and neighborhood density, poverty, racial/ethnic composition, education and occupation. The primary outcome was severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positivity; secondary outcomes included admission and death after COVID-19. We used generalized estimating equations to assess whether race/ethnicity remained significantly associated with COVID-19 after adjustment for individual and neighborhood factors.

Results: There were 144,982 patients; 5,633 (4%) were SARS-CoV-2 positive. Of those, 2,961 (53%) were admitted and 601(11%) died. Diagnosis of COVID-19, admission, and death were more common among non-Hispanic Black, Hispanic, Spanish-speaking patients, and those with public insurance. In the base model (adjusting for race/ethnicity, age, sex, and comorbidities), race/ethnicity was strongly associated with COVID-19 (non-Hispanic Black odds ratio [OR] 4.64 [95% confidence interval (CI) 4.18–5.14], and Hispanic OR 6.99 [CI 6.21–7.86]), which was slightly attenuated but remained significant after adjustment for neighborhood factors. Among patients with COVID-19, there was no significant association between race/ethnicity and hospital admission, other than for patients with unknown race.

Conclusion: This data demonstrates a persistent association between race/ethnicity and COVID-19 incidence, with Black and Hispanic patients at significantly higher risk, which was not explained by measured individual or neighborhood factors. This suggests that using existing neighborhood factors in studies examining health equity may be insufficient, and more work is needed to quantify and address structural factors and social determinants of health to improve equity.

Introduction: Food and housing insecurity in childhood is troublingly widespread. Emergency departments (ED) are well positioned to identify and support food- and housing-insecure children and their families. However, there is no consensus regarding the most efficient screening tools or most effective interventions for ED use.

Objective: In this cross-sectional study we aimed to investigate the implementation of a food/ housing insecurity screening tool and resource referral uptake in a pediatric ED.

Methods: During the study period (March 1–December 9, 2021), there were 67,297 ED visits at the study institution, which is a freestanding children’s hospital. Caregivers of patients presenting to the ED were approached for participation in the study; 1,908 families participated (2.8% of all ED visits during the study period) and were screened for food and housing insecurity. Caregiver surveys included demographic, food and housing insecurity, caregiver/patient health status, and healthcare utilization questions. Caregivers who screened positive for food and/or housing insecurity received printed materials with food and/or housing resources. We analyzed data using descriptive statistics, one-way analysis of variance, and the Pearson chi-squared test.

Results: A total of 1,908 caregivers were surveyed: 416 (21.8%) screened positive for food and/or housing insecurity. Of those who screened positive, 147/416 completed follow-up surveys. On follow-up, 44 (30.0%) no longer screened positive for food and/or housing insecurity, while 15 (10.2%) reported using at least one resource referral. The most frequently reported referral utilization barrier was loss or reported non-receipt of the referral.

Conclusion: This study demonstrates high food- and housing-insecurity rates among families presenting to a pediatric ED, emphasizing the urgency and necessity of screening and intervening in this environment. The food and housing insecurity change between baseline and follow-up reported here and the overall low resource uptake highlights challenges with ED-based screening and intervention efficacy.