A Pilot Randomized Controlled Trial of Augmented Reality Just-in-Time Guidance for the Performance of Rugged Field Procedures.

INTRODUCTION: Medical resuscitations in rugged prehospital settings require emergency personnel to perform high-risk procedures in low-resource conditions. Just-in-Time Guidance (JITG) utilizing augmented reality (AR) guidance may be a solution. There is little literature on the utility of AR-mediated JITG tools for facilitating the performance of emergent field care. STUDY OBJECTIVE: The objective of this study was to investigate the feasibility and efficacy of a novel AR-mediated JITG tool for emergency field procedures. METHODS: Emergency medical technician-basic (EMT-B) and paramedic cohorts were randomized to either video training (control) or JITG-AR guidance (intervention) groups for performing bag-valve-mask (BVM) ventilation, intraosseous (IO) line placement, and needle-decompression (Needle-d) in a medium-fidelity simulation environment. For the interventional condition, subjects used an AR technology platform to perform the tasks. The primary outcome was participant task performance; the secondary outcomes were participant-reported acceptability. Participant task score, task time, and acceptability ratings were reported descriptively and compared between the control and intervention groups using chi-square analysis for binary variables and unpaired t-testing for continuous variables. RESULTS: Sixty participants were enrolled (mean age 34.8 years; 72% male). In the EMT-B cohort, there was no difference in average task performance score between the control and JITG groups for the BVM and IO tasks; however, the control group had higher performance scores for the Needle-d task (mean score difference 22%; P = .01). In the paramedic cohort, there was no difference in performance scores between the control and JITG group for the BVM and Needle-d tasks, but the control group had higher task scores for the IO task (mean score difference 23%; P = .01). For all task and participant types, the control group performed tasks more quickly than in the JITG group. There was no difference in participant usability or usefulness ratings between the JITG or control conditions for any of the tasks, although paramedics reported they were less likely to use the JITG equipment again (mean difference 1.96 rating points; P = .02). CONCLUSIONS: This study demonstrated preliminary evidence that AR-mediated guidance for emergency medical procedures is feasible and acceptable. These observations, coupled with AR's promise for real-time interaction and on-going technological advancements, suggest the potential for this modality in training and practice that justifies future investigation.

A Granular View of Emergency Department Length of Stay: Improving Predictive Power and Extracting Real-Time, Actionable Insights.

STUDY OBJECTIVE: Improved understanding of factors affecting prolonged emergency department (ED) length of stay is crucial to improving patient outcomes. Our investigation builds on prior work by considering ED length of stay in operationally distinct time periods and using benchmark and novel machine learning techniques applied only to data that would be available to ED operators in real time. METHODS: This study was a retrospective review of patient visits over 1 year at 2 urban EDs, including 1 academic and 1 academically affiliated ED, and 2 suburban, community EDs. ED length of stay was partitioned into 3 components: arrival-to-room, room-to-disposition, and admit disposition to departure. Prolonged length of stay for each component was considered beyond 1, 3, and 2 hours, respectively. Classification models (logistic regression, random forest, and XGBoost) were applied, and important features were evaluated. RESULTS: In total, 135,044 unique patient encounters were evaluated for the arrival-to-room, room-to-disposition, and admit disposition-to-departure models, which had accuracy ranges of 84% to 96%, 66% to 77%, and 62% to 72%, respectively. Waiting room and ED volumes were important features in all arrival-to-room models. Room-to-disposition results identified patient characteristics and ED volume as the most important features for prediction. Boarder volume was an important feature of the admit disposition-to-departure models for all sites. Academic site models noted nurse staffing ratios as important, whereas community site models noted hospital capacity and surgical volume as important for admit disposition-to-departure prediction. CONCLUSION: This study identified granular capacity, flow, and nurse staffing predictors of ED length of stay not previously reported in the literature. Our novel methodology allowed for more accurate and operationally meaningful findings compared to prior modeling methods.

Factors Associated with Overutilization of Computed Tomography of the Cervical Spine.

Introduction: Despite the wide availability of clinical decision rules for imaging of the cervical spine after a traumatic injury (eg, NEXUS C-spine rule and Canadian C-spine rule), there is significant overutilization of computed tomography (CT) imaging in patients who are deemed to be at low risk for a clinically significant cervical spine injury by these clinical decision rules. The purpose of this study was to identify the major factors associated with the overuse of CT cervical spine imaging using a logistic regression model. Methods: This was a retrospective review of all adult patients who underwent CT cervical spine imaging for evaluation of a traumatic injury at a tertiary academic emergency department (ED) and three affiliate community EDs in January and February 2019. We performed multivariable logistic regression to identify factors associated with obtaining CT cervical spine imaging despite low-risk classification by the NEXUS C-spine Rule. Results: A total of 1,051 patients underwent CT cervical spine imaging for traumatic indications during the study period, and 889 patients were included in the analysis. Of these patients, 376 (42.3%) were negative by the NEXUS C-spine rule. Variables that were associated with increased likelihood of unnecessary imaging included age over 65, Emergency Severity Index (ESI) score 2 and 3, arrival as a walk-in, and anticoagulation status. Patients who presented to the tertiary academic ED had a significantly lower likelihood of unnecessary imaging. Twenty-one patients (2.4%) were found to have cervical spine fractures on imaging, two of whom were negative by the NEXUS C-spine rule, but neither had a clinically significant fracture. Conclusion: Cervical spine imaging is vastly overused in patients presenting to the ED with traumatic injuries, as adjudicated using the NEXUS C-spine rule as a reference standard. Older age, ESI level, arrival as a walk-in, and taking anticoagulation drugs were associated with overutilization of CT imaging. Conversely, presenting to the tertiary academic ED was associated with a lower likelihood of undergoing unnecessary imaging. This model can guide future interventions to optimize ED CT utilization and minimize unnecessary testing.

A mobile integrated health program for the management of undifferentiated acute complaints in older adults is safe and feasible.

BACKGROUND: Poor care access and lack of proper triage of medical complaints leads to inappropriate use of acute care resources. Mobile integrated health (MIH) programs may offer a solution by providing adaptable on-demand care. There is little information describing programs that manage undifferentiated complaints in the community. The objective of this study was to assess the safety and feasibility of an MIH program that responds to the community to manage medical complaints in older adults. METHODS: This was a prospective observational study examining a pilot MIH program. Seven ambulatory clinics and their affiliated patients aged 65 and older were oriented to the program and invited to use its services. Visit and follow-up data for all patients who underwent an MIH visit were abstracted, along with 30-day follow-up information. All demographic data and outcomes were reported descriptively. RESULTS: In 21 months, 153 MIH visits were completed, involving 91 patients (mean age 81 years, 60.4% female). The most common chief complaints were generalized weakness (28.8%) and shortness of breath (18.9%). Electrocardiogram (57.5%) and point-of-care bloodwork (34.6%) were the most common diagnostic tests performed. Sixteen visits (10.4%) were followed by an emergency department (ED) visit within 72 h. In 11 encounters, the patient was referred to the ED; in five cases, the ED visit was unforeseen. Fifteen patients (9.8%) were admitted to the hospital after an MIH visit. There were two deaths within 30 days following an index visit. CONCLUSIONS: An MIH program designed to address the acute complaints of community-dwelling older adults was feasible and safe, with low rates of unforeseen emergency services utilizations. MIH programs have valuable diagnostic and therapeutic capabilities and may serve to help triage the acute medical needs of patients. Further study is required to validate the efficacy and cost-effectiveness of MIH programs.

Improving Accessibility in the Emergency Department for Patients with Disabilities: A Qualitative Study.

INTRODUCTION: The emergency department (ED) is a critical service area for patients living with disabilities in the United States. Despite this, there is limited research on best practices from the patient experience regarding accommodation and accessibility for those with disabilities. In this study we investigate the ED experience from the perspective of patients living with physical and cognitive disability, as well as visual impairment and blindness, to better understand the barriers to accessibility in the ED for these populations. METHODS: Twelve individuals with either physical or cognitive disabilities, visual impairments or blindness were interviewed regarding their ED experiences, particularly related to accessibility. Interviews were transcribed and coded for qualitative analysis with generation of significant themes relating to accessibility in the ED. RESULTS: Major themes from coded analysis were as follows: 1) inadequate communication between staff and patients with visual impairments and physical disabilities; 2) the need for electronic delivery for after-visit summaries for individuals with cognitive and visual disabilities; 3) the importance of mindful listening and patience by healthcare staff; 4) the role of increased hospital support including greeters and volunteers; and 5) comprehensive training with both prehospital and hospital staff around assistive devices and services. CONCLUSION: This study serves as an important first step toward improving the ED environment to ensure accessibility and inclusivity for patients presenting with various types of disabilities. Implementing specific training, policies, and infrastructure changes may improve the experiences and healthcare of this population.

Accuracy of physician self-estimation of time spent during patient care in the emergency department.

Objective: Accurate measurement of physicians' time spent during patient care stands to inform emergency department (ED) improvement efforts. Direct observation is time consuming and cost prohibitive, so we sought to determine if physician self-estimation of time spent during patient care was accurate. Methods: We performed a prospective, convenience-sample study in which research assistants measured time spent by ED physicians in patient care. At the conclusion of each observed encounter, physicians estimated their time spent. Using Mann-Whitney U tests and Spearman's rho, we compared physician estimates to actual time spent and assessed for associations of encounter characteristics and physician estimation. Results: Among 214 encounters across 10 physicians, we observed a medium-sized correlation between actual and estimated time (Spearman's rho = 0.63, p < 0.001), and in aggregate, physicians underestimated time spent by a median of 0.1 min. An equal number of encounters were overestimated and underestimated. Underestimated encounters were underestimated by a median of 5.1 min (interquartile range [IQR] 2.5-9.8) and overestimated encounters were overestimated by a median of 4.3 min (IQR 2.5-11.6)-26.3% and 27.9% discrepancy, respectively. In terms of actual time spent, underestimated encounters (median 19.3 min, IQR 13.5-28.3) were significantly longer than overestimated encounters (median 15.3 min, IQR 11.3-20.5) (p < 0.001). Conclusions: Physician self-estimation of time spent was accurate in aggregate, providing evidence that it is a valid surrogate marker for larger-scale process improvement and research activities, but likely not at the encounter level. Investigations exploring mechanisms to augment physician self-estimation, including modeling and technological support, may yield pathways to make self-estimation valid also at the encounter level.

Operations Factors Associated with Emergency Department Length of Stay: Analysis of a National Operations Database.

INTRODUCTION: Prolonged emergency department (ED) length of stay (LOS) has been shown to adversely affect patient care. We sought to determine factors associated with ED LOS via analysis of a large, national, ED operations database. METHODS: We performed retrospective, multivariable, linear regression modeling using the 2019 Emergency Department Benchmarking Alliance survey results to identify associated factors of ED LOS for admitted and discharged patients. RESULTS: A total of 1,052 general and adult-only EDs responded to the survey. Median annual volume was 40,946. The median admit and discharge LOS were 289 minutes and 147 minutes, respectively. R-squared values for the admit and discharge models were 0.63 and 0.56 with out-of-sample R-squared values of 0.54 and 0.59, respectively. Both admit and discharge LOS were associated with academic designation, trauma level designation, annual volume, proportion of ED arrivals occurring via emergency medical services, median boarding, and use of a fast track. Additionally, admit LOS was associated with transfer-out percentage, and discharge LOS was associated with percentage of high Current Procedural Terminology, percentage of patients <18 years old, use of radiographs and computed tomography, and use of an intake physician. CONCLUSION: Models derived from a large, nationally representative cohort identified diverse associated factors of ED length of stay, several of which were not previously reported. Dominant within the LOS modeling were patient population characteristics and other factors extrinsic to ED operations, including boarding of admitted patients, which was associated with both admitted and discharged LOS. The results of the modeling have significant implications for ED process improvement and appropriate benchmarking.

From intern to "accepted": A guide to preparing for fellowship in emergency medicine.

Introduction: The number of fellowship options for emergency medicine (EM) physicians continues to expand. While guides exist to help residents explore individual fellowship pathways, we aimed to create a comprehensive guide for all residents considering fellowship. Methods: At the direction of the Society for Academic Emergency Medicine (SAEM) Board, 9 members of the Fellowship Guide Workgroup, including members of the Fellowship Approval Committee, and 2 members of SAEM Residents and Medical Students (RAMS) group collaboratively developed the guide using available evidence and expert opinion when high-quality evidence was unavailable. The guide was reviewed and approved by all members. Results: The guide offers advice to EM residents on how to conceptualize key aspects of their training with respect to preparation for fellowship, including scholarship, teaching, leadership, and electives. Additionally, it offers perspective on selecting a fellowship that matches the resident's interests and goals and successfully applying. Conclusion: This fellowship guide for EM residents considering fellowship summarizes the best currently available advice for residents considering fellowship training after residency.

From the ground up: Creating and leading fellowship programs in emergency medicine.

Background: A methodical and evidence-based approach to the creation and implementation of fellowship programs is not well described in the graduate medical education literature. The Society for Academic Emergency Medicine (SAEM) convened an expert panel to promote standardization and excellence in fellowship training. The purpose of the expert panel was to develop a fellowship guide to give prospective fellowship directors the necessary skills to successfully implement and maintain a fellowship program. Methods: Under direction of the SAEM Board of Directors, SAEM Education Committee, and SAEM Fellowship Approval Committee, a panel of content experts convened to develop a fellowship guide using an evidence-based approach and best practices content method. The resource guide was iteratively reviewed by all panel members. Results: Utilizing Kern's six-step model as a conceptual framework, the fellowship guide summarizes the construction, implementation, evaluation, and dissemination of a novel fellowship curriculum to meet the needs of trainees, educators, and sponsoring institutions. Other key areas addressed include Accreditation Council for Graduate Medical Education and nonaccredited fellowships, programmatic assessment, finances, and recruitment. Conclusions: The fellowship guide summarizes the conceptual framework, best practices, and strategies to create and implement a new fellowship program.

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

OBJECTIVES: Investigations of the impact of residents on emergency department (ED) timeliness of care typically focus only on global ED flow metrics. We sought to describe the association between resident complement/supervisory ratios and timeliness of ED care of a specific time-sensitive condition, acute stroke. METHODS: We matched ED stroke patient arrivals at 1 academic stroke center against resident and attending staffing and constructed a Cox proportional hazards model of door-to-activation (DTA) time (ie, ED arrival ["door"] to stroke team activation). We considered multiple predictors, including calculated ratios of residents supervised by each attending physician. RESULTS: Among 462 stroke activation patients in 2014-2015, DTA ranged from 1 to 217 minutes, 72% within 15 minutes. The median number of emergency and off-service residents supervised per attending were 1.7 (interquartile range [IQR], 1.3-2.3) and 0.7 (IQR, 0-1), respectively. A 1-resident increase in off-service residents was associated with a 24% decrease (hazard ratio [HR], 0.76; 95% confidence interval [CI], 0.64-0.90) in the probability of stroke team activation at any given time. An independent 1-resident increase in the number of emergency residents was associated with a 13% increase (HR, 1.13; 95% CI, 1.01-1.25) in timely activation. CONCLUSION: Timeliness of care for acute stroke may be impacted by how academic EDs configure the complement and supervisory structures of residents. Higher supervisory demands imposed by increasing the proportion of rotating off-service residents may be associated with slower stroke recognition and DTA times, but this effect may be offset when more emergency residents are present.

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.

Accuracy of emergency physicians' self-estimates of CT scan utilization and its potential effect on an audit and feedback intervention: a randomized trial.

BACKGROUND: Audit and feedback (A&F) has been used as a strategy to modify clinician behavior with moderate success. Although A&F is theorized to work by improving the accuracy of clinicians' estimates of their own behavior, few interventions have included assessment of clinicians' estimates at baseline to examine whether they account for intervention success or failure. We tested an A&F intervention to reduce computed tomography (CT) ordering by emergency physicians, while also examining the physicians' baseline estimates of their own behavior compared to peers. METHODS: Our study was a prospective, multi-site, 20-month, randomized trial to examine the effect of an A&F intervention on CT ordering rates, overall and by test subtype. From the electronic health record, we obtained 12 months of baseline CT ordering per 100 patients treated for every physician from four emergency departments. Those who were randomized to receive A&F were shown a de-identified graph of the group's baseline CT utilization, asked to estimate wherein the distribution of their own CT order practices fell, and then shown their actual performance. All participants also received a brief educational intervention. CT ordering rates were collected for all physicians for 6 months after the intervention. Pre-post ordering rates were compared using independent and repeated measures t tests. RESULTS: Fifty-one of 52 eligible physicians participated. The mean CT ordering rate increased significantly in both experimental conditions after the intervention (intervention pre = 35.7, post = 40.3, t = 4.13, p < 0.001; control pre = 33.9, post = 38.9, t = 3.94, p = 0.001), with no significant between-group difference observed at follow-up (t = 0.43, p = 0.67). Within the intervention group, physicians had poor accuracy in estimating their own ordering behavior at baseline: most overestimated and all guessed that they were in the upper half of the distribution of their peers. CT ordering increased regardless of self-estimate accuracy. CONCLUSIONS: Our A&F intervention failed to reduce physician CT ordering: our feedback to the physicians showed most of them that they had overestimated their CT ordering behavior, and they were therefore unlikely to reduce it as a result. After "audit," it may be prudent to assess baseline clinician awareness of behavior before moving toward a feedback intervention.

A Fast-Track Pathway for Emergency General Surgery at an Academic Medical Center.

BACKGROUND: Fast Track Pathways (FTP) directed at reducing length of stay (LOS) and overall costs are being increasingly implemented for emergency surgeries. The purpose of this study is to evaluate implementation of a FTP for Emergency General Surgery (EGS) at an academic medical center (AMC). METHODS: The study included 165 patients at an AMC between 2016 and 2018 who underwent laparoscopic appendectomy (LA), laparoscopic cholecystectomy (LC), or laparoscopic inguinal hernia repair (LI). The FTP group enrolled 89 patients, and 76 controls prior to FTP implementation were evaluated. Time to surgery (TTS), LOS, and post-operative LOS between groups were compared. Direct costs, reimbursements, and patient reported satisfaction (satisfaction 1 = never, 4 = always) were also studied. RESULTS: The sample was 60.6% female, with a median age of 40 years. Case distribution differed slightly (56.2% versus 42.1% LA, 40.4% versus 57.9% LC, FTP versus control), but TTS was similar between groups (11h39min versus 10h02min, P = 0.633). LOS was significantly shorter in the FTP group (15h17min versus 29h09min, P < 0.001), reflected by shorter post-operative LOS (3h11min versus 20h10min, P< 0.001), fewer patients requiring a hospital bed and overnight stay (P < 0.001). Direct costs were significantly lower in the FTP group, reimbursements were similar (P < 0.001 and P = 0.999 respectively), and average patient reported satisfaction was good (3.3/4). CONCLUSION: In an era focused on decreasing cost, optimizing resources, and ensuring patient satisfaction, a FTP can play a significant role in EGS. At an AMC, an EGS FTP significantly decreased LOS, hospital bed utilization while not impacting reimbursement or patient satisfaction.

Operational factors associated with emergency department patient satisfaction: Analysis of the Academy of Administrators of Emergency Medicine/Association of Academic Chairs of Emergency Medicine national survey.

BACKGROUND: Patient satisfaction is a focus for emergency department (ED) and hospital administrators. ED patient satisfaction studies have tended to be single site and focused on patient and clinician factors. Inclusion of satisfaction scores in a large, national operations database provided an opportunity to conduct an investigation that included diverse operational factors. METHODS: We performed a retrospective analysis of the 2019 Academy of Administrators in Academic Emergency Medicine/Association of Academic Chairs of Emergency Medicine (AAAEM/AACEM) benchmarking survey to identify associations between operational factors and patient satisfaction. We identified 59 database variables as potential predictors of Press Ganey likelihood-to-recommend and physician overall scores. Using random forest modeling, we identified the top eight predictors in the models and described their associations. RESULTS: Forty-three (57.3%) academic departments responding to the AAAEM/AACEM survey reported patient satisfaction scores for 78 EDs. Likelihood to recommend ranged from 30.0 to 93.0 (median = 74.8) and was associated with ED length of stay, boarding, use of hallway spaces, hospital annual admissions, faculty base clinical hours, proportion of patients leaving before treatment complete (LBTC), and provider in triage hours per day. Physician overall score ranged from 53.3 to 93.4 (median = 81.9) and was associated with faculty base clinical hours, x-ray utilization, annual ED arrivals, LBTC, use of hallway spaces, arrivals per attending hour, and CT utilization. CONCLUSIONS: ED patient satisfaction was associated with intrinsic and extrinsic factors, some being potentially manageable within the ED but others being relatively fixed or outside the control of ED operations. For likelihood to recommend, patient flow was dominant, with erosion of satisfaction observed with increased boarding and longer LOS. Factors associated with physician overall score were more varied. The use of hallway spaces and base clinical hours greater than 1,500 per year were associated with both lower likelihood-to-recommend and lower physician overall scores.

2017 AAAEM Benchmarking Survey: Comparing Pediatric and Adult Academic Emergency Departments.

OBJECTIVES: The Academy of Administrators in Academic Emergency Medicine Benchmark Survey of academic emergency departments (EDs) was conducted in 2017. We compared operational measures between pediatric and adult (defined as fewer than 5% pediatric visits) EDs based on survey data. Emergency departments in dedicated pediatric hospitals were not represented. METHODS: Measures included: (1) patient volumes, length of stay, and acuity; and 2) faculty staffing, productivity, and percent effort in academics. t Tests were used to compare continuous measures and inferences for categorical variables were made using Pearson χ2 test. RESULTS: The analysis included 17 pediatric and 52 adult EDs. We found a difference in the number of annual visits between adult (median, 66,275; interquartile range [IQR], 56,184-77,702) and pediatric EDs (median, 25,416; IQR, 19,840-29,349) (P < 0.0001). Mean "arrivals per faculty clinical hour" and "total arrivals per treatment space" showed no differences. The proportion of visits (1) arriving by emergency medical services and (2) for behavioral health were significantly higher in adult EDs (both P < 0.0001). The mean length of stay in hours for "all" patients was significantly longer in adult (5.4; IQR, 5.0-6.6) than in pediatric EDs (3.5; IQR, 2.9-4.3; P = 0.017). A similar difference was found for "discharged" patients (P = 0.004). Emergency severity indices, professional evaluation and management codes, and hospitalization rates all suggest higher acuity in adult EDs (all P < 0.0001). There were no differences in mean work relative value units per patient or in the distribution of full time equivalent effort dedicated to academics. CONCLUSIONS: In this cohort, significant differences in operational measures exist between academic adult and pediatric EDs. No differences were found when considering per unit measures, such as arrivals per faculty clinical hour or per treatment space.

Clinical operations of academic versus non-academic emergency departments: a descriptive comparison of two large emergency department operations surveys.

BACKGROUND: Academic and non-academic emergency departments (EDs) are regularly compared in clinical operations benchmarking despite suggestion that the two groups may differ in their clinical operations characteristics. and outcomes. We sought to describe and compare clinical operations characteristics of academic versus non-academic EDs. METHODS: We performed a descriptive, comparative analysis of academic and non-academic adult and general EDs with 40,000+ annual encounters, using the Academy of Academic Administrators of Emergency Medicine (AAAEM)/Association of Academic Chairs of Emergency Medicine (AACEM) and Emergency Department Benchmarking Alliance (EDBA) survey results. We defined academic EDs as primary teaching sites for emergency medicine (EM) residencies and non-academic EDs as sites with minimal resident involvement. We constructed the academic and non-academic cohorts from the AAAEM/AACEM and EDBA surveys, respectively, and analyzed metrics common to both surveys. RESULTS: Eighty and 454 EDs met inclusion criteria for academic and non-academic EDs, respectively. Academic EDs had more median annual patient encounters (73,001 vs 54,393), lower median proportion of pediatric patients (6.3% vs 14.5%), higher median proportion of EMS patients (27% vs 19%), and were more commonly designated as Level I or II Trauma Centers (94% vs 24%). Median patient arrival-to-provider times did not differ (26 vs 25 min). Median length-of-stay was longer (277 vs 190 min) for academic EDs, and left-before-treatment-complete was higher (5.7% vs 2.9%). MRI utilization was higher for academic EDs (2.2% patients with at least one MRI vs 1.0 MRIs performed per 100 patients). Patients-per-hour of provider coverage was lower for academic EDs with and without consideration for advanced practice providers and residents. CONCLUSIONS: Demographic and operational performance measures differ between academic and non-academic EDs, suggesting that the two groups may be inappropriate operational performance comparators. Causes for the differences remain unclear but the differences appear not to be attributed solely to the academic mission.

Delayed Recognition of Acute Stroke by Emergency Department Staff Following Failure to Activate Stroke by Emergency Medical Services.

INTRODUCTION: Early recognition and pre-notification by emergency medical services (EMS) improves the timeliness of emergency department (ED) stroke care; however, little is known regarding the effects on care should EMS providers fail to pre-notify. We sought to determine if potential stroke patients transported by EMS, but for whom EMS did not provide pre-notification, suffer delays in ED door-to-stroke-team activation (DTA) as compared to the other available cohort of patients for whom the ED is not pre-notified-those arriving by private vehicle. METHODS: We queried our prospective stroke registry to identify consecutive stroke team activation patients over 12 months and retrospectively reviewed the electronic health record for each patient to validate registry data and abstract other clinical and operational data. We compared patients arriving by private vehicle to those arriving by EMS without pre-notification, and we employed a multivariable, penalized regression model to assess the probability of meeting the national DTA goal of ≤15 minutes, controlling for a variety of clinical factors. RESULTS: Our inclusion criteria were met by 200 patients. Overall performance of the regression model was excellent (area under the curve 0.929). Arrival via EMS without pre-notification, compared to arrival by private vehicle, was associated with an adjusted risk ratio of 0.55 (95% confidence interval, 0.27-0.96) for achieving DTA ≤ 15 minutes. CONCLUSION: Our single-center data demonstrate that potential stroke patients arriving via EMS without pre-notification are less likely to meet the national DTA goal than patients arriving via other means. These data suggest a negative, unintended consequence of otherwise highly successful EMS efforts to improve stroke care, the root of which may be ED staff over-reliance on EMS for stroke recognition.

Code Help: Can This Unique State Regulatory Intervention Improve Emergency Department Crowding?

INTRODUCTION: Emergency department (ED) crowding adversely affects multiple facets of high-quality care. The Commonwealth of Massachusetts mandates specific, hospital action plans to reduce ED boarding via a mechanism termed "Code Help." Because implementation appears inconsistent even when hospital conditions should have triggered its activation, we hypothesized that compliance with the Code Help policy would be associated with reduction in ED boarding time and total ED length of stay (LOS) for admitted patients, compared to patients seen when the Code Help policy was not followed. METHODS: This was a retrospective analysis of data collected from electronic, patient-care, timestamp events and from a prospective Code Help registry for consecutive adult patients admitted from the ED at a single academic center during a 15-month period. For each patient, we determined whether the concurrent hospital status complied with the Code Help policy or violated it at the time of admission decision. We then compared ED boarding time and overall ED LOS for patients cared for during periods of Code Help policy compliance and during periods of Code Help policy violation, both with reference to patients cared for during normal operations. RESULTS: Of 89,587 adult patients who presented to the ED during the study period, 24,017 (26.8%) were admitted to an acute care or critical care bed. Boarding time ranged from zero to 67 hours 30 minutes (median 4 hours 31 minutes). Total ED LOS for admitted patients ranged from 11 minutes to 85 hours 25 minutes (median nine hours). Patients admitted during periods of Code Help policy violation experienced significantly longer boarding times (median 20 minutes longer) and total ED LOS (median 46 minutes longer), compared to patients admitted under normal operations. However, patients admitted during Code Help policy compliance did not experience a significant increase in either metric, compared to normal operations. CONCLUSION: In this single-center experience, implementation of the Massachusetts Code Help regulation was associated with reduced ED boarding time and ED LOS when the policy was consistently followed, but there were adverse effects on both metrics during violations of the policy.