Prehospital Naloxone Administration Patterns during the Era of Synthetic Opioids.

Background: The opioid epidemic is an ongoing public health emergency, exacerbated in recent years by the introduction and rising prevalence of synthetic opioids. The National EMS Scope of Practice Model was changed in 2017 to recommend allowing basic life support (BLS) clinicians to administer intranasal (IN) naloxone. This study examines local IN naloxone administration rates for 4 years after the new recommendation, and Glasgow Coma Scale (GCS) scores and respiratory rates before and after naloxone administration.Methods: This retrospective cohort study evaluated naloxone administrations between April 1st 2017 and March 31st 2021 in a mixed urban-suburban EMS system. Naloxone dosages, routes of administration, and frequency of administrations were captured along with demographic information. Analysis of change in the ratio of IN to intravenous (IV) naloxone administrations per patient was performed, with the intention of capturing administration patterns in the area. Analyses were performed for change over time of IN naloxone rates of administration, change in respiratory rates, and change in GCS scores after antidote administration. ALS and BLS clinician certification levels were also identified. Bootstrapping procedures were used to estimate 95% confidence intervals for correlation coefficients.Results: Two thousand and ninety patients were analyzed. There was no statistically significant change in the IN/parenteral ratio over time (p = 0.79). Repeat dosing increased over time from 1.2 ± 0.4 administrations per patient to 1.3 ± 0.5 administrations per patient (r = 0.078, 95% CI: 0.036 - 0.120; p = 0.036). Mean respiratory rates before (mean = 12.6 - 12.6, r = -0.04, 95% CI: -0.09 - 0.01; p = 0.1) and after (mean = 15.2 - 14.9, r = -0.03, 95% CI: -0.08 - 0.01; p = 0.172) naloxone administration have not changed. While initial GCS scores have become significantly lower, GCS scores after administration of naloxone have not changed (initial median GCS 10 - 6, p < 0.001; final median GCS 15 - 15, p = 0.23).Conclusions: Current dosing protocols of naloxone appear effective in the era of synthetic opioids in our region, although patients may be marginally more likely to require repeat naloxone doses.

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.

An Evaluation of Prehospital Adenosine Use.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Early Changes in Patient Access Interval during the COVID-19 Pandemic.

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.

Virtual Telesimulation for Medical Students During the COVID-19 Pandemic.

PROBLEM: In March 2020, the novel coronavirus 2019 (COVID-19) became a global pandemic. Medical schools around the United States faced difficult decisions, temporarily suspending hospital-based clerkship rotations for medical students due to potential shortages of personal protective equipment and a need to social distance. This decision created a need for innovative, virtual learning opportunities to support undergraduate medical education. APPROACH: Educators at Yale School of Medicine developed a novel medical student curriculum converting high-fidelity, mannequin-based simulation into a fully online virtual telesimulation format. By using a virtual videoconferencing platform to deliver remote telesimulation as an immersive educational experience for widely dispersed students, this novel technology retains the experiential strengths of simulation-based learning while complying with needs for social distancing during the pandemic. The curriculum comprises simulated clinical scenarios that include live patient actors; facilitator interactions; and real-time assessment of vital signs, labs, and imaging. Each 90-minute session includes 2 sets of simulation scenarios and faculty-led teledebriefs. A team of 3 students performs the first scenario, while an additional team of 3 students observes. Teams reverse roles for the second scenario. OUTCOMES: The 6-week virtual telesimulation elective enrolled the maximum 48 medical students and covered core clinical clerkship content areas. Communication patterns within the virtual telesimulation format required more deliberate turn-taking than normal conversation. Using the chat function within the videoconferencing platform allowed teams to complete simultaneous tasks. A nurse confederate provided cues not available in the virtual telesimulation format. NEXT STEPS: Rapid dissemination of this program, including online webinars and live demonstration sessions with student volunteers, supports the development of similar programs at other universities. Evaluation and process improvement efforts include planned qualitative evaluation of this new format to further understand and refine the learning experience. Future work is needed to evaluate clinical skill development in this educational modality.

Comparison of Two Telemedicine Delivery Modes for Neonatal Resuscitation Support: A Simulation-Based Randomized Trial.

INTRODUCTION: Previous research has described technical aspects of telemedicine and the clinical impact of provider-to-patient telemedicine; however, little is known about provider-to-provider telemedical interventions. OBJECTIVE: The primary aim of this study was to compare two telemedicine delivery modes on the quality of a simulated neonatal resuscitation. Our secondary aim was to evaluate the providers' task load. METHODS: This was a prospective, single-center, randomized, simulation-based trial comparing a remote neonatal team leader ("teleleader") versus a remote consultant ("teleconsultant"). Participants resuscitated a simulated, apneic, and bradycardic neonate. Performance was assessed by video review and task load was measured by the self-reported NASA task load index (NASA-TLX) tool. In the teleleader group, one remote neonatal specialist assumed the role of team leader in the resuscitation. In the teleconsultant group, the same remote specialist assumed the role of teleconsultant. RESULTS: Twenty-two participants were included in the analyses. The teleleader group was associated with a higher overall checklist score compared to teleconsultants (median score 68%, interquartile range [IQR]: 66-69 vs. 58%, IQR: 42-62; p = 0.016). No significant difference was seen in overall subjective workload as measured by the NASA-TLX tool. However, mental demand and frustration were significantly greater with teleconsultants compared to teleleaders (mean mental demand: 14.1 vs. 17.0 out of 21; frustration: 7.9 vs. 14.7 out of 21). CONCLUSIONS: Simulated neonates randomized to teams with teleleaders received significantly better resuscitative care compared to those randomized to teams with teleconsultants. Mental demand and frustration were higher for providers in the teleconsultant compared to teleleader teams.

Impact of telemedicine on neonatal resuscitation in the emergency department: a simulation-based randomised trial.

Background: The delivery and initial resuscitation of a newborn infant are required but rarely practised skills in emergency medicine. Deliveries in the emergency department are high-risk events and deviations from best practices are associated with poor outcomes. Introduction: Telemedicine can provide emergency medicine providers real-time access to a Neonatal Resuscitation Program (NRP)-trained paediatric specialist. We hypothesised that adherence to NRP guidelines would be higher for participants with access to a remotely located NRP-trained paediatric specialist via telemedicine compared with participants without access. Materials and methods: Prospective single-centre randomised trial. Emergency Medicine residents were randomised into a telemedicine or standard care group. The participants resuscitated a simulated, apnoeic and bradycardic neonate. In the telemedicine group a remote paediatric specialist participated in the resuscitation. Simulations were video recorded and assessed for adherence to guidelines using four critical actions. The secondary outcome of task load was measured through participants' completion of the NASA Task Load Index (NASA-TLX) and reviewers completed a detailed NRP checklist. Results: Twelve participants were included. The use of telemedicine was associated with significantly improved adherence to three of the four critical actions reflecting NRP guidelines as well as a significant improvement in the overall score (p<0.001). On the NASA-TLX, no significant difference was seen in overall subjective workload assessment, but of the subscore components, frustration was statistically significantly greater in the control group (p<0.001). Conclusions: In this study, telemedicine improved adherence to NRP guidelines. Future work is needed to replicate these findings in the clinical environment.

Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record-Based Computable Phenotype Derivation and Validation Study.

BACKGROUND: Deploying accurate computable phenotypes in pragmatic trials requires a trade-off between precise and clinically sensical variable selection. In particular, evaluating the medical encounter to assess a pattern leading to clinically significant impairment or distress indicative of disease is a difficult modeling challenge for the emergency department. OBJECTIVE: This study aimed to derive and validate an electronic health record-based computable phenotype to identify emergency department patients with opioid use disorder using physician chart review as a reference standard. METHODS: A two-algorithm computable phenotype was developed and evaluated using structured clinical data across 13 emergency departments in two large health care systems. Algorithm 1 combined clinician and billing codes. Algorithm 2 used chief complaint structured data suggestive of opioid use disorder. To evaluate the algorithms in both internal and external validation phases, two emergency medicine physicians, with a third acting as adjudicator, reviewed a pragmatic sample of 231 charts: 125 internal validation (75 positive and 50 negative), 106 external validation (56 positive and 50 negative). RESULTS: Cohen kappa, measuring agreement between reviewers, for the internal and external validation cohorts was 0.95 and 0.93, respectively. In the internal validation phase, Algorithm 1 had a positive predictive value (PPV) of 0.96 (95% CI 0.863-0.995) and a negative predictive value (NPV) of 0.98 (95% CI 0.893-0.999), and Algorithm 2 had a PPV of 0.8 (95% CI 0.593-0.932) and an NPV of 1.0 (one-sided 97.5% CI 0.863-1). In the external validation phase, the phenotype had a PPV of 0.95 (95% CI 0.851-0.989) and an NPV of 0.92 (95% CI 0.807-0.978). CONCLUSIONS: This phenotype detected emergency department patients with opioid use disorder with high predictive values and reliability. Its algorithms were transportable across health care systems and have potential value for both clinical and research purposes.

An appraisal of emergency medicine clinical practice guidelines: Do we agree?

BACKGROUND: Clinical practice guidelines (CPGs) have been published by the American College of Emergency Physicians (ACEP) since 1990 to advance evidence-based emergency care. ACEP clinical policies have drawn anecdotal criticism for bias, yet the overall quality of these guidelines has not previously been quantified. We sought to examine ACEP clinical policies using a recognised, validated appraisal instrument: Appraisal of Guidelines for Research & Evaluation (AGREE II). METHODS: Systematic assessment of current ACEP clinical policies was conducted using the AGREE II instrument, which contains 23 appraisal items (scored on a 1-7 scale) in six domains and two overall assessments. Each policy was independently appraised by five trained appraisers. Primary outcomes were AGREE II ratings for each item, domain and "Overall Assessment," and scores were reported as standardised percentages from all five appraisers. Secondary analyses examined associations between AGREE II ratings and policy publication date, strength of underlying evidence and strength of recommendations. Additional analysis examined relationships between domain and "Overall Assessment" ratings. RESULTS: Twenty guidelines published from April 2007 to November 2017 were included. Of the six domains, "Scope and Purpose" scored highest (mean 90%) and "Applicability" scored lowest (mean 35%). The four remaining domains ("Stakeholder Involvement," "Rigor of Development," "Clarity of Presentation" and "Editorial Independence") had mean scores of 53%-78%. The mean "Overall Assessment" rating was 69% and was not associated with policy publication date, strength of underlying evidence or strength of recommendations. We found positive associations between "Overall Assessment" ratings and two domains: "Rigor of Development" (r = 0.70) and "Clarity of Presentation" (r = 0.70). CONCLUSIONS: Based on validated AGREE II criteria, ACEP clinical policies can be most improved by addressing their application in practice. ACEP clinical policies' overall quality did not improve over the assessed time period and is not explained by the quality of underlying evidence.