COVID-19 Testing Among Out-of-Hospital Cardiac Arrest Patients: Implications for Public Health.

OBJECTIVE: The objective of this study was to compare COVID-19 test positivity among out-of-hospital cardiac arrest patients whose resuscitative efforts were terminated in the field with the surrounding community. METHODS: This was a retrospective cohort study of out-of-hospital cardiac arrest patients for whom unsuccessful resuscitative efforts were terminated in the field. Emergency medical services (EMS) personnel obtained postmortem COVID-19 nasal swab specimens from these patients between July 1, 2020 and February 28, 2022 to facilitate patient contact tracing and awareness of potential occupational exposure. A chi-square (n-1) was used to compare test result proportions between cardiac arrest patients and the community at large. A Pearson correlation was used to correlate test positivity among the two groups. RESULTS: EMS personnel obtained postmortem specimens from 648 cardiac arrest patients; 20 (3.1%) were inconclusive. Of the 628 specimens successfully tested, 69 (11.0%) were positive, and 559 (89.0%) were negative. Monthly positivity ranged from 0.0% to 34.0%. For the community at large, overall test positivity during the same period was 5.1%, with a monthly range from 0.4% to 15.2%. Overall, expired and tested cardiac arrest patients had 5.9% (95%CI 3.68 - 8.59) greater COVID-19 test positivity than the general community. There was significant correlation in monthly positivity rates between the groups (r = 0.778, p < .001, 95%CI0.51 - 0.91). CONCLUSIONS: Compared to the general population, COVID-19 was over-represented among EMS cardiac arrest patients who died in the field. Postmortem testing by EMS personnel, not typical practice, identified infectious disease cases that would have otherwise gone undetected, indicating potential for future surveillance applications.

A Statewide EMS Viral Syndrome Pandemic Triage Protocol: 24 Hour Outcomes.

Background: Early during the COVID-19 pandemic, Emergency Medical Services (EMS) systems encountered many challenges that prompted crisis-level strategies. Maryland's statewide EMS system implemented the Viral Syndrome Pandemic Triage Protocol which contained a decision tool to help identify patients potentially safe for self-care at home. Objectives: This study assessed the effects of the Maryland Viral Syndrome Pandemic Triage Protocol and the safety of referring patients for self-care at home. Methods: This is a retrospective statewide analysis of EMS patients from March 19 thru September 4, 2020, who were not transported and had documentation of the Viral Syndrome Pandemic Triage Protocol's decision support tool completed, as well as a random sample of 150 patients who were not transported and did not have documentation of the decision tool. Descriptive statistics were performed as well as a two-stage multivariable logistic regression model for the outcomes of ED presentation within 24 hours and subsequent hospitalization. Results: 301 EMS patients were documented as triaged to home using the protocol and outcomes data were available for 282 (94%). 41(14.5%) patients presented to an ED within 24 hours and 14 (5% of 282) required inpatient hospitalization. Nine (3.2%) patients were subsequently hospitalized with a diagnosis of COVID-19 illness. Of those patients for whom the decision tool was not documented, 35 (23%) had an ED visit within 24 hours and 15 (10%) were hospitalized (p = 0.075). Multivariate logistic regression model results (N = 432) suggest that those with documentation of triage protocol use had some advantage over those patients without documentation. The 95% CIs of the estimated effect of Triage/No Triage protocol documented were wide and crossed the 1.0 limit but overall, all effects Odds Ratios and Adjust Odds Ratios were consistently over 1.0 with the lowest value of 1.3 and the highest value of 2.1. Conclusion: Most patients (95%) who were triaged to self-care at home with home documented decision support tool use did not require hospitalization within 24 hours following EMS encounter and this appears to be safe. Future opportunity exists to incorporate such tools into comprehensive pandemic preparedness strategies along with appropriate follow up and quality improvement mechanisms.

Correlation between Emergency Medical Services Suspected COVID-19 Patients and Daily Hospitalizations.

Objective: We sought to determine if Emergency Medical Services (EMS) identified Persons Under Investigation (PUI) for COVID-19 are associated with hospitalizations for COVID-19 disease for the purposes of serving as a potential early indicator of hospital surge. Methods: A retrospective analysis was conducted using data from the Maryland statewide EMS electronic medical records and daily COVID-19 hospitalizations from March 13, 2020 through July 31, 2020. All unique EMS patients who were identified as COVID-19 PUIs during the study period were included. Descriptive analysis was performed. The Box-Jenkins approach was used to evaluate the relationship between EMS transports and daily new hospitalizations. Separate Auto Regressive Integrated Moving Average (ARIMA) models were constructed to transform the data into a series of independent, identically distributed random variables. Fit was measured using the Akaike Information Criterion (AIC). The Box-Ljung white noise test was utilized to ensure there was no autocorrelation in the residuals. Results: EMS units in Maryland identified a total of 26,855 COVID-19 PUIs during the 141-day study period. The median patient age was 62 years old, and 19,111 (71.3%) were 50 years and older. 6,886 (25.6%) patients had an abnormal initial pulse oximetry (<92%). A strong degree of correlation was observed between EMS PUI transports and new hospitalizations. The correlation was strongest and significant at a 9-day lag from time of EMS PUI transports to new COVID-19 hospitalizations, with a cross correlation coefficient of 0.26 (p < .01). Conclusions: A strong correlation between EMS PUIs and COVID-19 hospitalizations was noted in this state-wide analysis. These findings demonstrate the potential value of incorporating EMS clinical information into the development of a robust syndromic surveillance system for COVID-19. This correlation has important utility in the development of predictive tools and models that seek to provide indicators of an impending surge on the healthcare system at large.

The 2019 Core Content of Emergency Medical Services Medicine.

On March 13, 2019 the EMS Examination Committee of the American Board of Emergency Medicine (ABEM) approved modifications to the Core Content of EMS Medicine. The Core Content is used to define the subspecialty of EMS Medicine, provides the basis for questions to be used during written examinations, and leads to development of a certification examination blueprint. The Core Content defines the universe of knowledge for the treatment of prehospital patients that is necessary to practice EMS Medicine. It informs fellowship directors and candidates for certification of the full range of content that might appear on certification examinations.

Assessment of Key Health and Wellness Indicators Among North Carolina Emergency Medical Service Providers.

OBJECTIVE: The objective of this study was to characterize key health indicators in Emergency Medical Services (EMS) personnel and identify areas for intervention in order to ensure a strong and capable emergency health workforce. METHODS: Participants were EMS personnel delivering patients to 4 regional tertiary care emergency departments within North Carolina (NC). After transferring patient care and agreeing to participate, height, weight, and blood pressure (BP) measurements were recorded and each participant completed a questionnaire regarding demographics, activity levels, alcohol consumption, smoking, and medical history. Data were analyzed descriptively. RESULTS: A sample of 452 EMS personnel from across NC was enrolled. The cohort was predominantly male (74.1%) and employed full-time (85.5%). The prevalence of overweight and obesity (80.3%) among EMS personnel was higher than the NC population (65.6%) and the general United States (US) population (70.8%). A previous diagnosis of high BP was reported by only 18.3% of participants, but 65.1% had elevated BP at the time of measurement. Alcohol consumption in the past 30 days among participants (55.4%) was slightly higher than state estimates (48.0%) and similar to national estimates (57.1%). However, heavy drinking (22.2%) and binge drinking (28.8%) were reported at much higher rates than state (5.6% and 15.2%, respectively) and national (6.6% and 18.3%, respectively) estimates. The prevalence of current smoking (21.5%) and quit attempts (48.8%) in the cohort was similar to state (21.8% and 55.0%, respectively) and national (21.2% and 55.7%, respectively) estimates. Likewise, the proportion of EMS providers meeting the Center for Disease Control's activity guidelines (49.6%) was similar to that found in the NC (46.8%) and the general US (48.0%) populations. CONCLUSIONS: These findings suggest a high prevalence of overweight and obesity, heavy drinking, binge drinking, and high BP among NC EMS personnel. Similar to fire service personnel, these rates are higher than the general US population. As such, they suggest areas where intervention would have the greatest positive impact on the health and performance of the EMS workforce.

Expert Consensus Guidelines for Stocking of Antidotes in Hospitals That Provide Emergency Care.

We provide recommendations for stocking of antidotes used in emergency departments (EDs). An expert panel representing diverse perspectives (clinical pharmacology, medical toxicology, critical care medicine, hematology/oncology, hospital pharmacy, emergency medicine, emergency medical services, pediatric emergency medicine, pediatric critical care medicine, poison centers, hospital administration, and public health) was formed to create recommendations for antidote stocking. Using a standardized summary of the medical literature, the primary reviewer for each antidote proposed guidelines for antidote stocking to the full panel. The panel used a formal iterative process to reach their recommendation for both the quantity of antidote that should be stocked and the acceptable timeframe for its delivery. The panel recommended consideration of 45 antidotes; 44 were recommended for stocking, of which 23 should be immediately available. In most hospitals, this timeframe requires that the antidote be stocked in a location that allows immediate availability. Another 14 antidotes were recommended for availability within 1 hour of the decision to administer, allowing the antidote to be stocked in the hospital pharmacy if the hospital has a mechanism for prompt delivery of antidotes. The panel recommended that each hospital perform a formal antidote hazard vulnerability assessment to determine its specific need for antidote stocking. Antidote administration is an important part of emergency care. These expert recommendations provide a tool for hospitals that offer emergency care to provide appropriate care of poisoned patients.

Spinal Motion Restriction in the Trauma Patient - A Joint Position Statement.

The American College of Surgeons Committee on Trauma (ACS-COT), American College of Emergency Physicians (ACEP), and the National Association of EMS Physicians (NAEMSP) have previously offered varied guidance on the role of backboards and spinal immobilization in out-of-hospital situations. This updated consensus statement on spinal motion restriction in the trauma patient represents the collective positions of the ACS-COT, ACEP and NAEMSP. It has further been formally endorsed by a number of national stakeholder organizations. This updated uniform guidance is intended for use by emergency medical services (EMS) personnel, EMS medical directors, emergency physicians, trauma surgeons, and nurses as they strive to improve the care of trauma victims within their respective domains.

Adjusting patients streaming initiated by a wait time threshold in emergency department for minimizing opportunity cost.

Purpose Two different systems for streaming patients were considered to improve efficiency measures such as waiting times (WTs) and length of stay (LOS) for a current emergency department (ED). A typical fast track area (FTA) and a fast track with a wait time threshold (FTW) were designed and compared effectiveness measures from the perspective of total opportunity cost of all patients' WTs in the ED. The paper aims to discuss these issues. Design/methodology/approach This retrospective case study used computerized ED patient arrival to discharge time logs (between July 1, 2009 and June 30, 2010) to build computer simulation models for the FTA and fast track with wait time threshold systems. Various wait time thresholds were applied to stream different acuity-level patients. National average wait time for each acuity level was considered as a threshold to stream patients. Findings The fast track with a wait time threshold (FTW) showed a statistically significant shorter total wait time than the current system or a typical FTA system. The patient streaming management would improve the service quality of the ED as well as patients' opportunity costs by reducing the total LOS in the ED. Research limitations/implications The results of this study were based on computer simulation models with some assumptions such as no transfer times between processes, an arrival distribution of patients, and no deviation of flow pattern. Practical implications When the streaming of patient flow can be managed based on the wait time before being seen by a physician, it is possible for patients to see a physician within a tolerable wait time, which would result in less crowded in the ED. Originality/value A new streaming scheme of patients' flow may improve the performance of fast track system.

Outcomes of medical emergencies on commercial airline flights.

BACKGROUND: Worldwide, 2.75 billion passengers fly on commercial airlines annually. When in-flight medical emergencies occur, access to care is limited. We describe in-flight medical emergencies and the outcomes of these events. METHODS: We reviewed records of in-flight medical emergency calls from five domestic and international airlines to a physician-directed medical communications center from January 1, 2008, through October 31, 2010. We characterized the most common medical problems and the type of on-board assistance rendered. We determined the incidence of and factors associated with unscheduled aircraft diversion, transport to a hospital, and hospital admission, and we determined the incidence of death. RESULTS: There were 11,920 in-flight medical emergencies resulting in calls to the center (1 medical emergency per 604 flights). The most common problems were syncope or presyncope (37.4% of cases), respiratory symptoms (12.1%), and nausea or vomiting (9.5%). Physician passengers provided medical assistance in 48.1% of in-flight medical emergencies, and aircraft diversion occurred in 7.3%. Of 10,914 patients for whom postflight follow-up data were available, 25.8% were transported to a hospital by emergency-medical-service personnel, 8.6% were admitted, and 0.3% died. The most common triggers for admission were possible stroke (odds ratio, 3.36; 95% confidence interval [CI], 1.88 to 6.03), respiratory symptoms (odds ratio, 2.13; 95% CI, 1.48 to 3.06), and cardiac symptoms (odds ratio, 1.95; 95% CI, 1.37 to 2.77). CONCLUSIONS: Most in-flight medical emergencies were related to syncope, respiratory symptoms, or gastrointestinal symptoms, and a physician was frequently the responding medical volunteer. Few in-flight medical emergencies resulted in diversion of aircraft or death; one fourth of passengers who had an in-flight medical emergency underwent additional evaluation in a hospital. (Funded by the National Institutes of Health.).

Guidance Document for the Prehospital Use of Tranexamic Acid in Injured Patients.

Tranexamic acid (TXA) is being administered already in many prehospital air and ground systems. Insufficient evidence exists to support or refute the prehospital administration of TXA, and results are pending from several prehospital studies currently in progress. We have created this document to aid agencies and systems in best practices for TXA administration based on currently available best evidence. This document has been endorsed by the American College of Surgeons-Committee on Trauma, the American College of Emergency Physicians, and the National Association of EMS Physicians.

Over-commitment of EMS personnel in North Carolina with implications for disaster planning.

BACKGROUND: While large-scale disasters are uncommon, our society relies on emergency personnel to be available to respond and act. Faith in their availability may lead to a false sense of security. Many emergency personnel obligate themselves to more than one agency and so may be overcommitted, leaving agencies with unfilled positions in a disaster. We sought to describe the frequency of overcommitment of emergency medical services (EMS) personnel in North Carolina. METHODS: We conducted a cross-sectional study utilizing the Credentialing Information System (CIS) of the North Carolina Office of EMS. The CIS database manages demographic and certification information for all EMS personnel in North Carolina. The state is divided into 100 EMS systems based on county boundaries. Utilizing de-identified provider data from the CIS, we collected system(s) affiliation(s) and level of certification. To calculate an overcommitment rate per system, we divided the number of personnel with more than one system affiliation by total number of system roster personnel. To compare urbanicity and certification level with overcommitment, analysis of variance and the chi-square test were used, respectively. RESULTS: North Carolina credentials 14,717 EMS providers (8,346 EMT, 1,709 EMT-intermediate (EMT-I), 4,662 EMT-paramedic (EMT-P)). Of these, 10,928 (74%) are affiliated with a single system. Of the 3,789 committed to more than one system, 3,020 (21%) were committed to two systems, 571 (4%) to three, 138 (1%) to four, and 60 (<1%) to five or more. EMT-Is and EMT-Ps were more likely to be overcommitted when compared to EMTs (37, 32, 20% respectively, p < 0.0001). Statewide, the median overcommitment rate for EMS systems was 24% (IQR 16-37%). Personnel working in systems servicing less densely populated areas were more likely to be overcommitted: 33% wilderness, 29% rural, 20% suburban and 11% urban (p < 0.0001). Additionally, 40% wilderness, 23% rural, 4% suburban, and 0% urban systems had >37% of their personnel engaged in 9-1-1 response in more than one system. CONCLUSION: Many EMS personnel have multiple EMS commitments. Disaster planners and emergency managers should consider overcommitment of emergency responders when calculating the work force on which they can rely.

Improving process quality for pediatric emergency department.

PURPOSE: Overcrowding in emergency departments (EDs) leads to longer waiting times and results in higher number of patients leaving the ED without being seen by a physician. EDs need to improve quality for patients' waiting time and length of stay (LoS) from the perspective of process and flow control management. The paper aims to discuss these issues. DESIGN/METHODOLOGY/APPROACH: The retrospective case study was performed using the computerized ED patient time logs from arrival to discharge between July 1, 2009 and June 30, 2010. Patients were divided into two groups either adult or pediatric with a cutoff age of 18. Patients' characteristics were measured by arrival time periods, waiting times before being seen by a physician, total LoS and acuity levels. A discrete event simulation was applied to the comparison of quality performance measures. FINDINGS: Statistically significant differences were found between the two groups in terms of arrival times, acuity levels, waiting time stratified for various arrival times and acuity levels. The process quality for pediatric patients could be improved by redesign of patient flow management and medical resource. RESEARCH LIMITATIONS/IMPLICATIONS: The results are limited to a case of one community and ED. This study did not analyze the characteristic of leaving the ED without being seen by a physician. PRACTICAL IMPLICATIONS: Separation of pediatric patients from adult patients in an ED can reduce the waiting time before being seen by a physician and the total staying time in the ED for pediatric patients. It can also lessen the chances for pediatric patients to leave the ED without being seen by a physician. ORIGINALITY/VALUE: A process and flow control management scheme based on patient group characteristics may improve service quality and lead to a better patient satisfaction in ED.

Epidemiology of low-level bridge jumping in Pittsburgh: a 10-year study.

BACKGROUND: Outcomes of patients who fall from bridges lower than 160 feet above water have been poorly characterized. Pittsburgh offers a unique setting in which to study these patients as the city has 41 major bridges, only four of which are above 70 feet. OBJECTIVE: This study examined patients who fell or jumped from Pittsburgh bridges over a 10-year period for their characteristics, injury patterns, and the effects of prehospital care on outcomes. METHODS: We conducted a retrospective cohort study of patients who jumped or fell from bridges in Pittsburgh, Pennsylvania, over a 10-year period. Subjects were identified through manual searches of three data repositories: City of Pittsburgh Bureau of Emergency Medical Services (EMS), Pittsburgh River Rescue, and Allegheny County Medical Examiner records. Data abstracted included patient name, age, gender, date of birth, and address; incident date, time, location, and river conditions; prehospital interventions; emergency department intervention; hospital disposition; evidence of prior or subsequent psychiatric admission; toxicology results or evidence of substance involvement; and causes of death. RESULTS: Seventy-four subjects were identified. Most were male (80%) young adults (mean age 34.3 years) who lived near the bridges from which they jumped or fell. Mortality from bridges less than 50 feet high was 18%; mortality from bridges 180 feet high was 75%. All patients who required prehospital interventions beyond warming or intravenous (IV) fluids died. Injury patterns were similar to those described for high-bridge patients, concentrated in the trunk or skull, but low-bridge injuries were milder and less common. Cause of death was predominantly drowning (84%). More than a third (47.3%) of the patients had previous psychiatric histories, but evidence of a previous attempt to jump was uncommon (5.4%). CONCLUSIONS: People who jump from low- to medium-rise bridges may suffer injuries, but most often die from drowning. EMS interventions beyond water rescue are typically not helpful, emphasizing the importance of prevention and a water rescue plan.

The Maryland (USA) Critical Care Coordination Center (C4): From Pandemic to Permanence.

INTRODUCTION: The 2019 coronavirus disease (COVID-19) pandemic created overwhelming demand for critical care services within Maryland's (USA) hospital systems. As intensive care units (ICUs) became full, critically ill patients were boarded in hospital emergency departments (EDs), a practice associated with increased mortality and costs. Allocation of critical care resources during the pandemic requires thoughtful and proactive management strategies. While various methodologies exist for addressing the issue of ED overcrowding, few systems have implemented a state-wide response using a public safety-based platform. The objective of this report is to describe the implementation of a state-wide Emergency Medical Services (EMS)-based coordination center designed to ensure timely and equitable access to critical care. METHODS: The state of Maryland designed and implemented a novel, state-wide Critical Care Coordination Center (C4) staffed with intensivist physicians and paramedics purposed to ensure appropriate critical care resource management and patient transfer assistance. A narrative description of the C4 is provided. A retrospective cohort study design was used to present requests to the C4 as a case series report to describe the results of implementation. RESULTS: Providing a centralized asset with regional situational awareness of hospital capability and bed status played an integral role for directing the triage process of critically ill patients to appropriate facilities during and after the COVID-19 pandemic. A total of 2,790 requests were received by the C4. The pairing of a paramedic with an intensivist physician resulted in the successful transfer of 67.4% of requests, while 27.8% were managed in place with medical direction. Overall, COVID-19 patients comprised 29.5% of the cohort. Data suggested increased C4 usage was predictive of state-wide ICU surges. The C4 usage volume resulted in the expansion to pediatric services to serve a broader age range. The C4 concept, which leverages the complimentary skills of EMS clinicians and intensivist physicians, is presented as a proposed public safety-based model for other regions to consider world-wide. CONCLUSION: The C4 has played an integral role in the State of Maryland's pledge to its citizens to deliver the right care to the right patient at the right time and can be considered as a model for adoption by other regions world-wide.

The core content of emergency medical services medicine.

On September 23, 2010, the American Board of Medical Specialties (ABMS) approved emergency medical services (EMS) as a subspecialty of emergency medicine. As a result, the American Board of Emergency Medicine (ABEM) is planning to award the first certificates in EMS medicine in the fall of 2013. The purpose of subspecialty certification in EMS, as defined by ABEM, is to standardize physician training and qualifications for EMS practice, to improve patient safety and enhance the quality of emergency medical care provided to patients in the prehospital environment, and to facilitate integration of prehospital patient treatment into the continuum of patient care. In February 2011, ABEM established the EMS Examination Task Force to develop the Core Content of EMS Medicine (Core Content) that would be used to define the subspecialty and from which questions would be written for the examinations, to develop a blueprint for the examinations, and to develop a bank of test questions for use on the examinations. The Core Content defines the training parameters, resources, and knowledge of the treatment of prehospital patients necessary to practice EMS medicine. Additionally, it is intended to inform fellowship directors and candidates for certification of the full range of content that might appear on the examinations. This article describes the development of the Core Content and presents the Core Content in its entirety.

Emergency department frequent user subgroups: Development of an empirical, theory-grounded definition using population health data and machine learning.

Frequent emergency department (ED) use has been operationalized in research, clinical practice, and policy as number of visits to the ED, despite the fact that this definition lacks empirical evidence and theoretical foundation. To date, there are no studies that have attempted to understand ED use empirically, without arbitrary use of "cut-points." This study was conducted to identify the best-performing, empirically grounded definition of frequent ED use. The performance of machine learning supervised clustering algorithms based on the most common definitions of frequent ED use in peer-reviewed literature (i.e., 3+, 4+, 5+ visits per year) were compared to unsupervised clustering algorithms that take into account numerous systemic factors associated with patients' ED use. All ED visits for the State of Florida, 2011-2015, including more than 100 clinical and payment-related variables per visit were employed in the model. Supervised algorithms using number of visits to the ED, alone, were unable to differentiate patients into clusters, while unsupervised models using all patient data formed clusters in which patients within a given cluster were alike, and patients between clusters were different. Cluster size and characteristics were stable across years. The results of this study indicate that mean number of ED visits by patients differ between patient clusters, but this does not allow for accurate identification of ED patients. Machine learning algorithms using all systemic and biopsychosocial patient data can be used to identify and group patients for the purpose of developing and testing integrated, whole health interventions. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The Role of a Statewide Critical Care Coordination Center in the Coronavirus Disease 2019 Pandemic-and Beyond.

OBJECTIVE: Public health emergencies, like the coronavirus disease 2019 pandemic, can cause unprecedented demand for critical care services. We describe statewide implementation of a critical care coordination center designed to optimize ICU utilization. To describe a centralized critical care coordination center designed to ensure appropriate intensive care resource allocation. DESIGN: A descriptive case series of consecutive critically ill adult patients. SETTING: ICUs, emergency departments, freestanding medical facilities in the state of Maryland and adjacent states, serving a population of over 6,045,000 across a land area of 9,776 sq mi (25,314 km2). PATIENTS: Adults requiring intensive care. INTERVENTIONS: Consultation with a critical care physician and emergency medical services clinician. MEASUREMENTS AND MAIN RESULTS: Number of consults, number of patient movements to higher levels of critical care, and number of extracorporeal membrane oxygenation referrals for both patients with and without coronavirus disease 2019. Over a 6-month period, critical care coordination center provided 1,006 critical care consultations and directed 578 patient transfers for 58 hospitals in the state of Maryland and adjoining region. Extracorporeal membrane oxygenation referrals were requested for 58 patients. Four-hundred twenty-eight patients (42.5%) were managed with consultation only and did not require transfer. CONCLUSIONS: Critical care coordination center, staffed 24/7 by a critical care physician and emergency medical service clinician, may improve critical care resource use and patient flow. This serves as a model for a tiered regionalized system to ensure that the demand for critical care services may be met during a pandemic and beyond.