Secular trends in the incidence and severity of injuries sustained by riders of electric bikes and powered scooters: The experience of a level 1 adult trauma center.

BACKGROUND: The incidence of injuries caused by electric bicycles (E-bikes) and powered scooters (P-scooters) continues to increase. Data on the severity of those injuries is conflicting. The purpose of this study was to explore secular trends in the incidence and severity characteristics of patients following E-bike and P-scooter injuries and predictors for major trauma. METHODS: A retrospective cohort study of patients aged ≥16 years following E-bike and P-scooter injuries was performed at a level 1-trauma center between 2017 and 2022. We explored secular trends in major trauma cases (primary outcome), emergency department (ED) visits, hospitalizations, and surgical interventions (secondary outcomes). Major trauma was defined by either an injury severity score (ISS) >15 or the patient's need for acute care, defined by any of the following: Intensive care unit admission, direct disposition to the operating room, acute interventions performed in the trauma room, and in-hospital death. Primary and secondary outcomes were compared between two time frames (2017-2018 vs.2019-2022). RESULTS: In total, 9748 patients were presented following P-scooter and E-bike injuries. Of them, 1183 patients (12.1%) were hospitalized (854 males [72.2%],median age 33 years, median ISS 9).During the study period, the number of ED visits increased by 21-fold, with a parallel increase hospitalizations and surgical interventions numbers, which increased by 3.4-and 3.8-fold, respectively. Numbers of patients with ISSs >15 and patients who required acute care sharply increased during the study period, but no significant differences were found in the percentages of patients with ISSs >15 (p = 0.78) or patients' need for acute care (p = 0.32) between early and late periods. A severity analysis revealed that male sex (adjusted odds ratio [aOR] 1.7 [95% confidence interval (CI): 1.2-2.4], p = 0.001) and E-bike riders compared to P-scooter riders (aOR 1.5 [95% CI:1.1-2.0], p = 0.005) were independent predictors for severe trauma. CONCLUSIONS: The incidence of E-bike and P-scooter injuries sharply increased over time, with a parallel elevation in numbers of hospitalizations, surgical interventions, and major trauma cases. Major trauma percentages did not increase during the study period. Male sex and E-bikes emerged as independent predictors for major trauma.

Emergency medicine physician burnout before and during the COVID-19 pandemic.

BACKGROUND: Burnout is a common issue among physicians, and the rate among emergency medicine physicians (EPs) appears to be higher than those of other medical specialties. The COVID-19 pandemic presents unprecedented challenges to the medical community worldwide, but its effects on EP burnout has not yet been determined. METHODS: We conducted a three-stage nationwide study between July 2019 and June 2021. First, we evaluated the responses to burnout questionnaires that had been filled in by EP before the COVID-19 pandemic. We then re-sent the same questionnaires, with an addition of pandemic-specific questions. The third step involved a small group of EPs who participated in a burnout reduction workshop and re-took the questionnaires after a 3-month interval. The Maslach Burnout Inventory measured three burnout scales and a Work and Meaning Inventory predicts job satisfaction. Descriptive, univariate, and multivariate statistical tests were used to analyze the data. RESULTS: In the first stage, 240 questionnaires were sent by email to all Israeli EPs listed in emergency departments nationwide, and 84 out of 88 submitted questionnaires were completed in full before the pandemic. 393 questionnaires were sent in the second stage during the pandemic and 93 out of 101 submitted questionnaires were completed in full. Twenty EPs participated in the workshop and 13 out of 20 submitted questionnaires were completed in full. Burnout levels were high (Maslach) among EPs before the pandemic and increased during the pandemic. The feelings of personal accomplishment and work meaning-both protective factors from burnout-were significantly higher in the second (pandemic) stage. The pandemic-specific burnout factors were fear of infecting family members, lack of care centers for the physician's children, increased workload, and insufficient logistic support. The physician-oriented intervention had no significant impact on burnout levels (p < 0.412, Friedman test). CONCLUSIONS: Physician burnout is a major global problem, and it is now being aggravated by the challenges of the COVID-19 pandemic. Healthcare administrators should be alerted to pandemic-specific stress factors in order to help teams cope better and to prevent further worsening of the burnout. Further research is warranted to determine the lasting effect of the pandemic on EM physician burnout and the best means for reducing it.

Real-time prediction of patient disposition and the impact of reporter confidence on mid-level triage accuracies: an observational study in Israel.

AIM: The emergency department (ED) is the first port-of-call for most patients receiving hospital care and as such acts as a gatekeeper to the wards, directing patient flow through the hospital. ED overcrowding is a well-researched field and negatively affects patient outcome, staff well-being and hospital reputation. An accurate, real-time model capable of predicting ED overcrowding has obvious merit in a world becoming increasingly computational, although the complicated dynamics of the department have hindered international efforts to design such a model. Triage nurses' assessments have been shown to be accurate predictors of patient disposition and could, therefore, be useful input for overcrowding and patient flow models. METHODS: In this study, we assess the prediction capabilities of triage nurses in a level 1 urban hospital in central Israeli. ED settings included both acute and ambulatory wings. Nurses were asked to predict admission or discharge for each patient over a 3-month period as well as exact admission destination. Prediction confidence was used as an optimisation variable. RESULT: Triage nurses accurately predicted whether the patient would be admitted or discharged in 77% of patients in the acute wing, rising to 88% when their prediction certainty was high. Accuracies were higher still for patients in the ambulatory wing. In particular, negative predictive values for admission were highly accurate at 90%, irrespective of area or certainty levels. CONCLUSION: Nurses prediction of disposition should be considered for input for real-time ED models.