EMS Non-Transport of Low-Risk COVID-19 Patients.

Objectives: COVID-19 infections in the community have the potential to overwhelm both prehospital and in-hospital resources. Transport of well-appearing patients, in the absence of available emergency department treatment capacity, increases strain on the hospital and EMS system. In May of 2020, the Connecticut Office of EMS issued a voluntary, EMS-initiated, non-transport protocol for selected low-risk patients with symptoms consistent with COVID-19. We evaluated the implementation of this non-transport protocol in a mixed urban/suburban EMS system.Methods: We conducted a retrospective review of contemporaneously recorded quality improvement documentation for uses of the Connecticut COVID-19 non-transport protocol by EMS clinicians within our EMS system during two implementations: from 12/14/2020 to 5/1/21, and again from 1/3/22 to 2/18/22, which coincided with large COVID-19 case surges in our region.Results: The vast majority of patients treated under the non-transport protocol were not reevaluated by EMS or in our emergency departments in the subsequent 24 hours. There was reasonable adherence to the protocol, with 83% of cases appropriate for the non-transport protocol. The most common reasons for protocol violations were age outside of protocol scope (pediatric patients), failure of documentation, or vital signs outside of the established protocol parameters. We did not find an increased 24-hour ED visit rate in patients who were inappropriately triaged to the protocol. Of patients who had ED visits within 24 hours, only two were admitted, none to higher levels of care.Conclusion: Within this small study, EMS clinicians in our system were able to safely and accurately apply a non-transport protocol for patients presenting with symptoms consistent with COVID-19. This is consistent with previous literature suggesting that EMS-initiated non-transport is a viable strategy to reduce the burden on health systems.

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

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

Universal SARS-CoV-2 Testing of Emergency Department Admissions Increases Emergency Department Length of Stay.

STUDY OBJECTIVE: Our institution experienced a change in SARS-CoV-2 testing policy as well as substantial changes in local COVID-19 prevalence, allowing for a unique examination of the relationship between SARS-CoV-2 testing and emergency department (ED) length of stay. METHODS: This was an observational interrupted time series of all patients admitted to an academic health system between March 15, 2020, and September 30, 2020. Given testing limitations from March 15 to April 24, all patients receiving SARS-CoV-2 tests were symptomatic. On April 24, testing was expanded to all ED admissions. The primary and secondary outcomes were ED length of stay and number needed to test to obtain a positive, respectively. RESULTS: A total of 70,856 patients were cared for in the EDs during the 7-month period. The testing change increased admission length of stay by 1.89 hours (95% confidence interval 1.39 to 2.38). The number needed to test was 2.5 patients and was highest yield on April 1, 2020, when the state positivity rate was 39.7%; however, the number needed to test exceeded 170 patients by Sept 1, 2020, at which point the state positivity rate was 0.5%. CONCLUSION: Although universal SARS-CoV-2 testing of ED admissions may meaningfully support mitigation and containment efforts, the clinical cost of testing all admissions amid low community positivity is notable. In our system, universal ED SARS-CoV-2 testing was associated with a 24% increase in admission length of stay alongside the detection of only 1 positive case every other day. Given the known harms and risks of ED boarding and crowding, solutions must be developed to support regular operational flow while balancing infection prevention needs.

Design and Implementation of an Agitation Code Response Team in the Emergency Department.

STUDY OBJECTIVE: Agitation, defined as excessive psychomotor activity leading to violent and aggressive behavior, is becoming more prevalent in the emergency department (ED) amidst a strained behavioral health system. Team-based interventions have demonstrated promise in promoting de-escalation, with the hope of minimizing the need for invasive techniques, like physical restraints. This study aimed to evaluate an interprofessional code response team intervention to manage agitation in the ED with the goal of decreasing physical restraint use. METHODS: This quality improvement study occurred over 3 phases, representing stepwise rollout of the intervention: (1) preimplementation (phase I) to establish baseline outcome rates; (2) design and administrative support (phase II) to conduct training and protocol design; and (3) implementation (phase III) of the code response team. An interrupted time-series analysis was used to compare trends between phases to evaluate the primary outcome of physical restraint orders occurring during the study period. RESULTS: Within the 634,578 ED visits over a 5-year period, restraint use significantly declined sequentially over the 3 phases (1.1%, 0.9%, and 0.8%, absolute change -0.3% between phases I and III, 95% confidence interval [CI] -0.4% to 0.3%), which corresponded to a 27.3% proportionate decrease in restraint rates between phases I and III. For the interrupted time-series analysis, there was a significantly decreasing slope in biweekly restraints in phase II compared to phase I (slope, -0.05 restraints per 1,000 ED visits per 2-week period, 95% CI -0.07 to -0.03), which was sustained in an incremental fashion in phase III (slope, -0.05, 95% CI -0.07 to -0.02). CONCLUSION: With the implementation of a structured agitation code response team intervention combined with design and administrative support, a decreased rate of physical restraint use occurred over a 5-year period. Results suggest that investment in organizational change, along with interprofessional collaboration during the management of agitated patients in the ED, can lead to sustained reductions in the use of an invasive and potentially harmful measure on patients.

Patient cost consciousness in the emergency department.

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

Disparities in Accessing and Reading Open Notes in the Emergency Department Upon Implementation of the 21st Century CURES Act.

STUDY OBJECTIVE: There is a continued movement toward health data transparency, accelerated by the 21st Century CURES Act, which mandated the automatic and immediate release of clinical notes, often termed "open notes." Differences in utilization among different patient demographics and disproportionately affected populations within the emergency department (ED) are not yet known. METHODS: This was an observational study of 10 EDs and 3 urgent care centers across a single health system over a 13-week period from February 1, 2021 to May 2, 2021. Primary outcomes included the proportion of patients with patient portal access to open notes at the time of encounter, the proportion of patients with access who opened the clinical note, and time from clinical note signing to patient read. RESULTS: Among 98,725 patient visits, less than half (48.9%) had patient portal access, of which 13.7% read an open note. Access was less likely in patients who were under age 18 (odds ratio 0.10, 95% confidence interval 0.08 to 0.11), older than 65 (0.82, 0.73 to 0.93), Black non-Hispanic (0.66, 0.61 to 0.73), non-English speakers, and on public insurance. Patients were less likely to read open notes if they identified as Black non-Hispanic (0.61, 0.57 to 0.66), spoke Spanish (0.70, 0.60 to 0.81), or were on public insurance. CONCLUSION: We identified substantial differences in digital access to clinical notes as well as patient utilization of open notes in a large, diverse sample. Health transparency initiatives must address not only technology adoption broadly but also the unique barriers faced by populations experiencing disadvantage to facilitate equitable access to and awareness about digital health tools without the unintended consequence of expanding disparities.

A Cross-Sectional Analysis of High-Acuity Professional Services Performed by Urban and Rural Emergency Care Physicians Across the United States.

STUDY OBJECTIVE: We seek to examine differences in the provision of high-acuity professional services between rural and urban physicians receiving reimbursement for emergency care evaluation and management services from Medicare fee-for-service Part B. METHODS: Using the 2017 Medicare Public Use Files, we performed a cross-sectional analysis and defined the primary outcome, the proportion of high-acuity charts (PHAC), at the physician level as the proportion of services provided as 99285 and 99291 emergency care evaluation and management service codes relative to all such codes. After accounting for unique clinician-level characteristics, we categorized individual physicians by PHAC quintiles and conducted ordered logistic regression analyses reporting adjusted marginal probabilities to examine associations with rurality. RESULTS: A total of 34,256 physicians providing emergency care had a median PHAC of 66.8% (interquartile range 55.6% to 75.7%), with 89.2% practicing in an urban setting. Urban and rural physicians had respective median PHACs of 67.6% (interquartile range 57.1% to 76.2%) and 57.9% (interquartile range 42.7% to 69.4%). Urban and rural physicians had respective adjusted marginal probabilities of 15.2% and 11.8% of being in the highest PHAC quintile, and respective adjusted marginal probabilities of 14.3% and 18.2% of being in the lowest PHAC quintile. CONCLUSION: In comparison with rural physicians, urban physicians providing emergency care received reimbursements for a greater PHAC when caring for Medicare fee-for-service beneficiaries. Policymakers must consider these differences in the design and implementation of new emergency care payment policies.

The cost of waiting: Association of ED boarding with hospitalization costs.

BACKGROUND: Emergency Department (ED) boarding, the practice of holding patients in the ED after they have been admitted to the hospital due to unavailability of inpatient beds, is common and contributes to the public health crisis of ED crowding. Prior work has documented the harms of ED boarding on access and quality of care. Limited studies examine the relationship between ED boarding and an equally important domain of quality-the cost of care. This study evaluates the relationship between ED boarding, ED characteristics and risk-adjusted hospitalization costs utilizing national publicly-reported measures. METHODS: We conducted a cross-sectional analysis of two 2018 Centers for Medicare and Medicaid Services (CMS) Hospital Compare datasets: 1) Medicare Hospital Spending per Patient and 2) Timely and Effective Care. We constructed a hospital-level multivariate linear regression analysis to examine the association between ED boarding and Medicare spending per beneficiary (MSPB), adjusting for ED length of stay, door to diagnostic evaluation time, and ED patient volume. RESULTS: A total of 2903 hospitals were included in the analysis. ED boarding was significantly correlated with MSPB (r = 0.1774; p-value: < 0.0001). In multivariate regression, ED boarding was also positively associated with MSPB (Beta: 0.00015; p < 0.0001) after adjustment for other hospital level crowding indicators. CONCLUSION: We found a strong relationship between measures of ED crowding, including ED boarding, and risk-adjusted hospital spending. Future work should elucidate the mediators of this relationship. Policymakers and administrators should consider the financial harms of ED boarding when devising strategies to improve hospital care access and flow.

Association between patient-physician gender concordance and patient experience scores. Is there gender bias?

BACKGROUND: Patient satisfaction, a commonly measured indicator of quality of care and patient experience, is often used in physician performance reviews and promotion decisions. Patient satisfaction surveys may introduce gender-related bias. OBJECTIVE: Examine the effect of patient and physician gender concordance on patient satisfaction with emergency care. METHODS: We performed a cross-sectional analysis of electronic health record and Press Ganey patient satisfaction survey data of adult patients discharged from the emergency department (2015-2018). Logistic regression models were used to examine relationships between physician gender, patient gender, and physician-patient gender dyads. Binary outcomes included: perfect care provider score and perfect overall assessment score. RESULTS: Female patients returned surveys more often (n=7 612; 61.55%) and accounted for more visits (n=232 024; 55.26%). Female patients had lower odds of perfect scores for provider score and overall assessment score (OR: 0.852, 95% CI: 0.790, 0.918; OR: 0.782, 95% CI: 0.723, 0.846). Female physicians had 1.102 (95% CI: 1.001, 1.213) times the odds of receiving a perfect provider score. Physician gender did not influence male patients' odds of reporting a perfect care provider score (95% CI: 0.916, 1.158) whereas female patients treated by female physicians had 1.146 times the odds (95% CI: 1.019, 1.289) of a perfect provider score. CONCLUSION: Female patients prefer female emergency physicians but were less satisfied with their physician and emergency department visit overall. Over-representation of female patients on patient satisfaction surveys introduces bias. Patient satisfaction surveys should be deemphasized from physician compensation and promotion decisions.

Failure Mode and Effect Analysis: Engineering Safer Neurocritical Care Transitions.

BACKGROUND/OBJECTIVE: Inter-hospital patient transfers for neurocritical care are increasingly common due to increased regionalization for acute care, including stroke and intracerebral hemorrhage. This process of transfer is uniquely vulnerable to errors and risk given numerous handoffs involving multiple providers, from several disciplines, located at different institutions. We present failure mode and effect analysis (FMEA) as a systems engineering methodology that can be applied to neurocritical care transitions to reduce failures in communication and improve patient safety. Specifically, we describe our local implementation of FMEA to improve the safety of inter-hospital transfer for patients with intracerebral and subarachnoid hemorrhage as evidence of success. METHODS: We describe the conceptual basis for and specific use-case example for each formal step of the FMEA process. We assembled a multi-disciplinary team, developed a process map of all components required for successful transfer, and identified "failure modes" or errors that hinder completion of each subprocess. A risk or hazard analysis was conducted for each failure mode, and ones of highest impact on patient safety and outcomes were identified and prioritized for implementation. Interventions were then developed and implemented into an action plan to redesign the process. Importantly, a comprehensive evaluation method was established to monitor outcomes and reimplement interventions to provide for continual improvement. RESULTS: This intervention was associated with significant reductions in emergency department (ED) throughput (ED length of stay from 300 to 149 min, (p < .01), and improvements in inter-disciplinary communication (increase from pre-intervention (10%) to post- (64%) of inter-hospital transfers where the neurological intensive care unit and ED attendings discussed care for the patient prior to their arrival). CONCLUSIONS: Application of the FMEA approach yielded meaningful and sustained process change for patients with neurocritical care needs. Utilization of FMEA as a change instrument for quality improvement is a powerful tool for programs looking to improve timely communication, resource utilization, and ultimately patient safety.

Less social emergency departments: implementation of workplace contact reduction during COVID-19.

The COVID-19 pandemic has led to rapid changes in community and healthcare delivery policies creating new and unique challenges to managing ED pandemic response efforts. One example is the practice of social distancing in the workplace as an internationally recommended non-pharmaceutical intervention to reduce transmission. While attention has been focused on public health measures, healthcare workers cannot overlook the transmission risk they present to their colleagues and patients. Our network of three EDs are all high traffic areas for both patients and staff, which makes the limitation of close person-to-person contact particularly difficult to achieve. To design, implement and communicate contact reduction changes in the ED workplace, our COVID-19 task force formalised a set of multidisciplinary recommendations that enumerated concrete ways to reduce healthcare worker transmission to coworkers and to patients from ED patient arrival to discharge. We also addressed staff-to-staff contact reduction strategies when not performing direct patient care. We describe our conceptual approach and successful implementation of workplace distancing.

Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data.

INTRODUCTION: Nontraumatic intracranial hemorrhage (ICH) is a neurological emergency of research interest; however, unlike ischemic stroke, has not been well studied in large datasets due to the lack of an established administrative claims-based definition. We aimed to evaluate both explicit diagnosis codes and machine learning methods to create a claims-based definition for this clinical phenotype. METHODS: We examined all patients admitted to our tertiary medical center with a primary or secondary International Classification of Disease version 9 (ICD-9) or 10 (ICD-10) code for ICH in claims from any portion of the hospitalization in 2014-2015. As a gold standard, we defined the nontraumatic ICH phenotype based on manual chart review. We tested explicit definitions based on ICD-9 and ICD-10 that had been previously published in the literature as well as four machine learning classifiers including support vector machine (SVM), logistic regression with LASSO, random forest and xgboost. We report five standard measures of model performance for each approach. RESULTS: A total of 1830 patients with 2145 unique ICD-10 codes were included in the initial dataset, of which 437 (24%) were true positive based on manual review. The explicit ICD-10 definition performed best (Sensitivity = 0.89 (95% CI 0.85-0.92), Specificity = 0.83 (0.81-0.85), F-score = 0.73 (0.69-0.77)) and improves on an explicit ICD-9 definition (Sensitivity = 0.87 (0.83-0.90), Specificity = 0.77 (0.74-0.79), F-score = 0.67 (0.63-0.71). Among machine learning classifiers, SVM performed best (Sensitivity = 0.78 (0.75-0.82), Specificity = 0.84 (0.81-0.87), AUC = 0.89 (0.87-0.92), F-score = 0.66 (0.62-0.69)). CONCLUSIONS: An explicit ICD-10 definition can be used to accurately identify patients with a nontraumatic ICH phenotype with substantially better performance than ICD-9. An explicit ICD-10 based definition is easier to implement and quantitatively not appreciably improved with the additional application of machine learning classifiers. Future research utilizing large datasets should utilize this definition to address important research gaps.

Effects of Real-time EMS Direction on Optimizing EMS Turnaround and Load-balancing Between Neighboring Hospital Campuses.

Background: Implemented in September 2017, the "nurse navigator program" identified the preferred emergency department (ED) destination within a single healthcare system using real-time assessment of hospital and ED capacity and crowding metrics. Objective: The primary objective of the navigator program was to improve load-balancing between two closely situated emergency departments, both of which feed into the same inpatient facilities of a single healthcare system. A registered nurse in the hospital command center made real-time recommendations to emergency medical services (EMS) providers via radio, identifying the preferred destination for each transported patient based on such factors as chief complaint, ED volume, and waiting room census. The destination decision was made via the utilization of various real-time measures of health system capacity in conjunction with existing protocols dictating campus-specific clinical service availability. The objective of this study was to evaluate the efficacy of this real-time ambulance destination direction program as reflected in changes to emergency medical services (EMS) turnaround time and the incidence of intercampus transports. Methods: A before-and-after time series was performed to determine if program implementation resulted in a change in EMS turnaround time or incidence of intercampus transfers. Results: Implementation of the nurse navigator program was associated with a statistically significant decrease in EMS turnaround times for all levels of dispatch and transport at both hospital campuses. Intercampus transfers also showed significant improvement following implementation of the intervention, although this effect lagged behind implementation by several months. Conclusion: A proactive approach to EMS destination control using a nurse navigator with access to real-time hospital and ED capacity metrics appears to be an effective method of decreasing EMS turnaround time.

A Qualitative Study of Risks Related to Interhospital Transfer of Patients with Nontraumatic Intracranial Hemorrhage.

GOAL: Interhospital transfer (IHT) facilitates access to specialized neurocritical care but may also introduce unique risk. Our goal was to describe providers' perceptions of safety threats during IHT for patients with nontraumatic intracranial hemorrhage. MATERIALS AND METHODS: We employed qualitative, semi-structured interviews at an academic medical center receiving critically-ill neurologic transfers, and 5 referring hospitals. Interviewees included physicians, nurses, and allied health professionals with experience caring for patients transferred between hospitals for nontraumatic intracranial hemorrhage. Interviews continued until data saturation was reached. Coding occurred concurrently with interviews. Analysis was inductive, using the constant comparative method. FINDINGS: The predominant impediments to safe, high-quality neurocritical care transitions between hospitals are insufficient communication, gaps in clinical practice, and lack of IHT structure. Insufficient communication highlights the unique communication challenges specific to IHT, which overlay and compound known intrahospital communication barriers. Gaps in clinical practice revolve primarily around the provision of neurocritical care for this patient population, often subject to resource availability, by receiving hospital emergency medicine providers. Lack of structure outlines providers' questions that emerge when institutions fail to identify process channels, expectations, and accountability during complex neurocritical care transitions. CONCLUSIONS: The predominant impediments to safe, high-quality neurocritical care transitions between hospitals are insufficient communication, gaps in clinical practice, and lack of IHT structure. These themes serve as fundamental targets for quality improvement initiatives. To our knowledge, this is the first description of challenges to quality and safety in high-risk neurocritical care transitions through clinicians' voices.

Applying advanced analytics to guide emergency department operational decisions: A proof-of-concept study examining the effects of boarding.

BACKGROUND: Emergency Department (ED) leaders are increasingly confronted with large amounts of data with the potential to inform and guide operational decisions. Routine use of advanced analytic methods may provide additional insights. OBJECTIVES: To examine the practical application of available advanced analytic methods to guide operational decision making around patient boarding. METHODS: Retrospective analysis of the effect of boarding on ED operational metrics from a single site between 1/2015 and 1/2017. Times series were visualized through decompositional techniques accounting for seasonal trends, to determine the effect of boarding on ED performance metrics and to determine the impact of boarding "shocks" to the system on operational metrics over several days. RESULTS: There were 226,461 visits with the mean (IQR) number of visits per day was 273 (258-291). Decomposition of the boarding count time series illustrated an upward trend in the last 2-3 quarters as well as clear seasonal components. All performance metrics were significantly impacted (p<0.05) by boarding count, except for overall Press Ganey scores (p<0.65). For every additional increase in boarder count, overall length-of-stay (LOS) increased by 1.55min (0.68, 1.50). Smaller effects were seen for waiting room LOS and treat and release LOS. The impulse responses indicate that the boarding shocks are characterized by changes in the performance metrics within the first day that fade out after 4-5days. CONCLUSION: In this study regarding the use of advanced analytics in daily ED operations, time series analysis provided multiple useful insights into boarding and its impact on performance metrics.

Emergency department boarding and adverse hospitalization outcomes among patients admitted to a general medical service.

OBJECTIVE: Overcrowding in the emergency department (ED) has been associated with patient harm, yet little is known about the association between ED boarding and adverse hospitalization outcomes. We sought to examine the association between ED boarding and three common adverse hospitalization outcomes: rapid response team activation (RRT), escalation in care, and mortality. METHOD: We conducted an observational analysis of consecutive patient encounters admitted from the ED to the general medical service between February 2013 and June 2015. This study was conducted in an urban, academic hospital with an annual adult ED census over 90,000. We defined boarding as patients with greater than 4h from ED bed order to ED departure to hospital ward. The primary outcome was a composite of adverse outcomes in the first 24h of admission, including RRT activation, care escalation to intensive care, or in-hospital mortality. RESULTS: A total of 31,426 patient encounters were included of which 3978 (12.7%) boarded in the ED for 4h or more. Adverse outcomes occurred in 1.92% of all encounters. Comparing boarded vs. non-boarded patients, 41 (1.03%) vs. 244 (0.90%) patients experienced a RRT activation, 53 (1.33%) vs. 387 (1.42%) experienced a care escalation, and 1 (0.03%) vs.12 (0.04%) experienced unanticipated in-hospital death, within 24h of ED admission. In unadjusted analysis, there was no difference in the composite outcome between boarding and non-boarding patients (1.91% vs. 1.91%, p=0.994). Regression analysis adjusted for patient demographics, acuity, and comorbidities also showed no association between boarding and the primary outcome. A sensitivity analysis showed an association between ED boarding and the composite outcome inclusive of the entire inpatient hospital stay (5.8% vs. 4.7%, p=0.003). CONCLUSION: Within the first 24h of hospital admission to a general medicine service, adverse hospitalization outcomes are rare and not associated with ED boarding.

Spontaneous rupture of the ascending aorta.

BACKGROUND: Nontraumatic, spontaneous rupture of the ascending aorta is rare and the etiology is largely unknown. METHODS: We reviewed seven patients from our institution, with no known aortic disease or hereditary connective tissue disorder that presented with spontaneous ascending aortic rupture from 2012 to 2017. RESULTS: Most patients presented with non-radiating chest pain along with hypertension (71.4%). The mean ascending aortic diameter at rupture was 4.60 ± 0.62 cm. The median door-to-operating room time was 2.58 h, resulting from effective implementation of an aortic emergency protocol. There were no operative mortalities. CONCLUSIONS: In patients with ascending aortic rupture, aortic diameter may not always correlate with the risk of rupture. Rapid diagnosis combined with a multidisciplinary approach is vital for the successful management of these high-risk patients.

Multiple Fentanyl Overdoses - New Haven, Connecticut, June 23, 2016.

On the evening of June 23, 2016, a white powder advertised as cocaine was purchased off the streets from multiple sources and used by an unknown number of persons in New Haven, Connecticut. During a period of less than 8 hours, 12 patients were brought to the emergency department (ED) at Yale New Haven Hospital, experiencing signs and symptoms consistent with opioid overdose. The route of intoxication was not known, but presumed to be insufflation ("snorting") in most cases. Some patients required doses of the opioid antidote naloxone exceeding 4 mg (usual initial dose = 0.1-0.2 mg intravenously), and several patients who were alert after receiving naloxone subsequently developed respiratory failure. Nine patients were admitted to the hospital, including four to the intensive care unit (ICU); three required endotracheal intubation, and one required continuous naloxone infusion. Three patients died. The white powder was determined to be fentanyl, a drug 50 times more potent than heroin, and it included trace amounts of cocaine. The episode triggered rapid notification of public health and law enforcement agencies, interviews of patients and their family members to trace and limit further use or distribution of the fentanyl, immediate naloxone resupply and augmentation for emergency medical services (EMS) crews, public health alerts, and plans to accelerate naloxone distribution to opioid users and their friends and families. Effective communication and timely, coordinated, collaborative actions of community partners reduced the harm caused by this event and prevented potential subsequent episodes.