Articles: emergency-medical-services.
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Limitations in current data collection systems for patients who experience traumatic injury limit researchers' ability to identify and address disparities in injury and outcomes. We sought to develop and test a patient-centered data-collection system for equity-related data indicators that was acceptable to racially and ethnically diverse patients being treated for traumatic injuries. ⋯ We identified a patient-centered data collection system for health equity measures with racially and ethnically diverse patients who have experienced traumatic injury. This system has the potential to increase data quality and accuracy, which is critical to quality improvement efforts and for researchers seeking to identify groups most impacted by racism and other structural barriers to equitable health outcomes and effective intervention points.
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Prehospital triage and transport protocols are critical components of the trauma systems. Still, there have been limited studies evaluating the performance of trauma protocols in New South Wales, such as the NSW ambulance major Trauma transport protocol (T1). ⋯ Overall, the T1 was associated with low undertriage and high specificity. The protocol may be improved by considering age and the number of trauma protocols activated by paramedics for any given patient.
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We aimed to quantify the association of no-flow interval in out-of-hospital cardiac arrests (OHCA) with the odds of neurologically favorable survival and survival to hospital discharge/ 30th day. Our secondary aim was to explore futility thresholds to guide clinical decisions, such as prehospital termination of resuscitation. ⋯ We demonstrated that prolonged no-flow interval had a significant effect on lower odds of favorable neurological outcomes, with medical futility occurring when no-flow interval was >12 mins (>7.5 mins for witnessed arrest). Our study adds to the literature of the importance of early CPR and EMS response and provided a threshold beyond traditional 'down-times', which could aid clinical decisions in TOR or OHCA management.
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Out-of-hospital cardiac arrest (OHCA) is a leading cause of death worldwide. Cardiac rhythms of OHCA patients can change during transportation and transfer from emergency medical services (EMS) to the emergency department (ED). ⋯ Cardiac rhythm changes can occur in OHCA patients during transfer from EMS to the ED. Our results showed some evidence that these changes are associated with a lower ED survival.
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Most prediction models, like return of spontaneous circulation (ROSC) after cardiac arrest (RACA) or Utstein-based (UB)-ROSC score, were developed for prehospital settings to predict the probability of ROSC in patients with out-of-hospital cardiac arrest (OHCA). A prediction model has been lacking for the probability of ROSC in patients with OHCA at emergency departments (EDs). ⋯ Using only six easily accessible variables, the POC-ED-ROSC model can predict ROSC for OHCA resuscitated at ED with fair accuracy.