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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.

Adenosine has been safely used by paramedics for the treatment of stable supraventricular tachycardia since the mid-1990s. However, there continues to be variability in paramedics' ability to identify appropriate indications for adenosine administration. As the first of a planned series of studies aimed at improving the accuracy of SVT diagnosis and successful administration of adenosine by paramedics, this study details the current usage patterns of adenosine by paramedics.This cross-sectional retrospective study investigated adenosine use within a large northeast EMS region from January 1, 2019, through September 30, 2021. Excluding pediatric and duplicate case reports, we created a dataset containing patient age, sex, and vital signs before, during, and after adenosine administration; intravenous line location; and coded medical history from paramedic narrative documentation, including a history of atrial fibrillation, suspected arrhythmia diagnosis, and effect of adenosine. In cases with available prehospital electrocardiograms (EKGs) for review, two physicians independently coded the arrhythmia diagnosis and outcome of adenosine administration. Statistical analysis included interrater reliability with Cohen's kappa statistic.One hundred eighty-three cases were included for final analysis, 84 did not have a documented EKG for review. Categorization of presenting rhythms in these cases occurred by a physician reviewing EMS narrative and documentation. Forty of these 84 cases (48%) were adjudicated as SVT likely, 32 (38%) as SVT unlikely and 12 (14%) as uncategorized due to lack of supporting documentation. Of the 99 cases with EKGs available to review, there was substantial agreement of arrhythmia diagnosis interpretation between physician reviewers (Cohen's kappa 0.77-1.0); 54 cases were adjudicated as SVT by two physician reviewers. Other identified cardiac rhythms included atrial fibrillation (16), sinus tachycardia (11), and ventricular tachycardia (2). Adenosine cardioversion occurred in 47 of the 99 cases with EKGs available for physician review (47.5%). Adenosine cardioversion was also deemed to occur in 87% (47/54) of cases when the EKG rhythm was physician adjudicated SVT.This study supports the use of adenosine as a prehospital treatment for SVT while highlighting the need for continued efforts to improve paramedics' identification and management of tachyarrhythmias.

Objective: The management of patients with ST-elevation myocardial infarction (STEMI) is time-critical, with a focus on early reperfusion to decrease morbidity and mortality. It is imperative that ...

Background: COVID-19 was first reported in the United States in January 2020. Its spread throughout the country required EMS systems to rapidly adapt to patient needs while protecting EMS personnel. EMS agencies developed protocols requiring personnel to don enhanced personal protective equipment prior to patient contact. We hypothesized that the Patient Access Interval (PAI), defined as the time from wheels stopped on scene to initial patient contact, had increased during the COVID pandemic. This had the potential to affect patient outcomes, particularly in time-sensitive emergencies such as cardiac arrest or respiratory distress. Methods: This retrospective cohort study used commercial ambulance data from the four largest cities in Connecticut at two different time points: (Pre-COVID) March-May 2019, and (COVID) March-May 2020. PAI was calculated from contemporaneously reported scene times. Total cases were analyzed, and sub-analyses performed for calls located at extended care facilities (ECFs), for all emergent (Echo/Delta) calls, and for medical cardiac arrest calls. Results: 92,846 total cases were evaluated: 50,083 from 2019, and 42,763 from 2020. Cases that did not include necessary time data for PAI were removed, yielding 75,796 total cases (41,852 from 2019, 33,944 from 2020). The average PAI increased from 1 minute 55 seconds (1 m:55s) Pre-COVID to 2 m:18s COVID. ECF PAI increased from 2 m:39s to 3 m:42s. Echo/Delta PAI increased from 1 m:42s to 2 m:07s. Medical cardiac arrest PAI increased from 1 m:27s to 2 m:04s, and ECF cardiac arrest PAI increased from 2 m:18s to 4 m:35s (all comparisons p < 0.01). Conclusions: There were statistically significant increases in all studied PAIs during COVID. The 23 second increase in PAI for all calls may not have been clinically significant in most cases; however, for life-threatening patient presentations, the increase may have been particularly relevant. The increased PAI was compounded in the ECF environment, possibly due to state-mandated screening and temperature checks of EMS personnel before entering facilities. This was highlighted in the ECF cardiac arrest data, which demonstrated a clinically significant increase in PAI of 2m:17s. While this study was limited by the accuracy of contemporaneous time reports by EMS, the results support our hypothesis that PAI had increased during the COVID pandemic.

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.

Some of the most intractable challenges in prehospital medicine include response time optimization, inefficiencies at the emergency medical services (EMS)-emergency department (ED) interface, and the ability to correlate field interventions with patient outcomes. Information technology (IT) can address these and other concerns by ensuring that system and patient information is received when and where it is needed, is fully integrated with prior and subsequent patient information, and is securely archived. Some EMS agencies have begun adopting information technologies, such as wireless transmission of 12-lead electrocardiograms, but few agencies have developed a comprehensive plan for management of their prehospital information and integration with other electronic medical records. This perspective article highlights the challenges and limitations of integrating IT elements without a strategic plan, and proposes an open, interoperable, and scalable prehospital information technology (PHIT) architecture. The two core components of this PHIT architecture are 1) routers with broadband network connectivity to share data between ambulance devices and EMS system information services and 2) an electronic patient care report to organize and archive all electronic prehospital data. To successfully implement this comprehensive PHIT architecture, data and technology requirements must be based on best available evidence, and the system must adhere to health data standards as well as privacy and security regulations. Recent federal legislation prioritizing health information technology may position federal agencies to help design and fund PHIT architectures.

The application of Advanced Cardiac Life Support (ACLS) in severe hypothermic cardiac arrest remains controversial. While the induction of mild hypothermia has been shown to improve outcomes in patients already resuscitated from cardiac arrest, it is unknown whether ACLS protocols are effective during the resuscitation of the severely hypothermic cardiac arrest patient. We describe a case of a 47-year-old man who was successfully resuscitated from a ventricular fibrillation (VF) arrest with a core body temperature of 26.4 degrees C. The patient had been found unresponsive in a bathtub of cold water following an apparent suicide attempt. An incorrect pronouncement of death by the fire department delayed his transport to the hospital by more than four hours. Once in the emergency department (ED), the patient sustained a VF cardiac arrest and was successfully defibrillated using ACLS protocols. He ultimately survived his hospitalization with near-complete neurologic recovery. In this case report, we discuss the application of ACLS to the resuscitation of the hypothermic cardiac arrest patient as well as the issues involved in the prehospital determination of death.

An unusual motor vehicle collision case is presented involving a complex, prolonged extrication with crush injury. While crush injury and crush syndrome are often considered to be in the realm of disaster medicine and urban search and rescue, more typical single-patient or few-patient incidents such as industrial accidents and vehicular crashes can involve these clinical entities. All emergency medical services (EMS) personnel should have a basic working familiarity with the operational and clinical issues involved in crush injury and crush syndrome. Crush syndrome is reviewed here from the perspective of prehospital management.

INTRODUCTION: No existing mass casualty triage system has been scientifically scrutinized or validated. A recent work group sponsored by the Centers for Disease Control and Prevention, using a combination of expert opinion and the extremely limited research data available, created the SALT (sort-assess-lifesaving interventions-treat/transport) triage system to serve as a national model. An airport crash drill was used to pilot test the SALT system. OBJECTIVE: To assess the accuracy and speed with which trained paramedics can triage victims using this new system. METHODS: Investigators created 50 patient scenarios with a wide range of injuries and severities, and two additional uninjured victims were added at the time of the drill. Students wearing moulage and coached on how to portray their injuries served as "victims." Assuming proper application of the SALT system, the patient scenarios were designed such that 16 patients would be triaged as T1/red/immediate, 12 as T2/yellow/delayed, 14 as T3/green/minimal, and 10 as T4/black/dead. Paramedics were trained to proficiency in the SALT system one week prior to the drill using a 90-minute didactic/practical session, and were given "flash cards" showing the triage algorithm to be used if needed during the drill. Observers blinded to the study purpose timed and recorded the triage process for each patient during the drill. Simple descriptive statistics were used to analyze the data. RESULTS: The two paramedics assigned to the role of triage officers applied the SALT algorithm correctly to 41 of the 52 patients (78.8% accuracy). Seven patients intended to be T2 were triaged as T1, and two patients intended to be T3 were triaged as T2, for an overtriage rate of 13.5%. Two patients intended to be T2 were triaged as T3, for an undertriage rate of 3.8%. Triage times were recorded by the observers for 42 of the 52 patients, with a mean of 15 seconds per patient (range 5-57 seconds). CONCLUSIONS: The SALT mass casualty triage system can be applied quickly in the field and appears to be safe, as measured by a low undertriage rate. There was, however, significant overtriage. Further refinement is needed, and effect on patient outcomes needs to be evaluated.