Articles: emergency-medicine.
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Understanding the variation in training and nuances of trauma provider practice between the countries in Europe and the United States is a daunting task. This article briefly reviews the key specialties of trauma care in Europe including emergency medical services (EMS), emergency medicine, anesthesia, trauma surgery, and critical care. The authors hope to inform U. ⋯ Because of the historical predominance of blunt trauma in Europe, in many countries, trauma surgery is a subspecialty with initial orthopedic surgery training versus general surgery. Intensive care medicine has various training pathways across Europe, but there have been great advances in standardizing competency requirements across the European Union. Finally, the authors suggest some strategies to mitigate the potential negative consequences of joint medical teams and how to leverage some key differences to advance life-saving medical interoperability across the North Atlantic Treaty Organization alliance.
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Emergency care workforce concerns have gained national prominence given recent data suggesting higher than previously estimated attrition. With little known regarding characteristics of physicians leaving the workforce, we sought to investigate the age and number of years since residency graduation at which male and female emergency physicians (EPs) exhibited workforce attrition. ⋯ Female physicians exhibited attrition from the EM workforce at an age approximately 12 years younger than male physicians. These data identify widespread disparities regarding EM workforce attrition that are critical to address to ensure stability, longevity, and diversity in the EP workforce.
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Review Meta Analysis
Risk of wound infection with use of sterile versus clean gloves in wound repair at the Emergency Department: A systematic review and meta-analysis.
Sterile gloves are widely used during wound repair procedures in Emergency Departments (ED) worldwide. It is unclear whether sterile gloves protect against postoperative wound infections. We conducted a systematic review and meta-analysis to determine if sterile gloves offer significant protection against wound infections compared to clean gloves for wound repair in the ED. ⋯ No evidence of additional protection against wound infections with the use of sterile gloves for wound repair in the ED compared to clean gloves was found. However, the review was limited by nonreporting of antibiotic history and time between wound repair and follow-up amongst included studies. Considering the ergonomics, potential cost-savings and environmental impact, clean gloves are a viable alternative to sterile gloves, without compromising wound infection risk in this setting.
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Observational Study
First-Time Seizure Patients have High Rate of Abnormalities on Emergency Department Performed Brain Computed Tomography: A Prospective Study.
First-time seizures comprise 15% to 35% of all seizure-related complaints in the emergency department (ED). Emergent neuroimaging of first-time seizure patients is recommended by both the American Academy of Neurology and American College of Emergency Physicians. However, most of these studies are over 10 years old and included both adults and children. ⋯ This study demonstrated that 11.9% of first-time seizure patients presenting to the ED had abnormal findings on neuroimaging. Our findings support current recommendations to obtain emergent neuroimaging for adult patients with first-time seizures.
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Clinical prediction models are created to help clinicians with medical decision making, aid in risk stratification, and improve diagnosis and/or prognosis. With growing availability of both prehospital and in-hospital observational registries and electronic health records, there is an opportunity to develop, validate, and incorporate prediction models into clinical practice. However, many prediction models have high risk of bias due to poor methodology. ⋯ There are eight steps that should be followed when developing and internally validating a prediction model: (1) problem definition, (2) coding of predictors, (3) addressing missing data, (4) ensuring adequate sample size, (5) variable selection, (6) evaluating model performance, (7) internal validation, and (8) model presentation. Subsequent steps include external validation, assessment of impact, and cost-effectiveness. By following these steps, researchers can develop a prediction model with the methodological rigor and quality required for prehospital and EM research.