Prehospital emergency care : official journal of the National Association of EMS Physicians and the National Association of State EMS Directors
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Observational Study
Interfacility Transport of the Pregnant Patient: A 5-year Retrospective Review of a Single Critical Care Transport Program.
Interfacility transport of the pregnant patient poses a challenge for prehospital providers as it is an infrequent but potentially high acuity encounter. Knowledge of clinically significant events (CSEs) that occur during these transports is important both to optimize patient safety and also to help enhance crew training and preparedness. This study evaluated a critical care transport program's 5-year longitudinal experience transporting pregnant patients by ground and air, and described CSEs that occurred during the out-of-hospital phase of care. ⋯ Incidence of CSEs during the interfacility transport of pregnant patients within our critical care transport system is low (6.0%). Knowledge of the clinically significant events that occur during EMS transport is a vital component of ensuring system quality and optimizing patient safety. This data can be used to augment and focus provider education and training to mitigate and optimize response to future events.
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The scene-size-up is a crucial first step in the response to a mass casualty incident (MCI). Unmanned aerial vehicles (UAV) may potentially enhance the scene-size-up with real-time visual feedback during chaotic, evolving or inaccessible events. We performed this study to test the feasibility of paramedics using UAV video from a simulated MCI to identify scene hazards, initiate patient triage, and designate key operational locations. ⋯ This study demonstrates the ability of UAV technology to remotely facilitate the scene size-up in an MCI. Additional research is required to further investigate optimal strategies to deploy UAVs in this context.
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Randomized Controlled Trial
Automated External Defibrillator Geolocalization with a Mobile Application, Verbal Assistance or No Assistance: A Pilot Randomized Simulation (AED G-MAP).
Shockable rythms are common among victims of witnessed public out-of-hospital cardiac arrest (OHCA), but bystander defibrillation with a public automated external defibrillator (PAED) is rare. Instructions from the emergency medical dispatcher and mobile applications were developed to expedite the localization of PAEDs, but their effectiveness has not been compared. ⋯ In a simulated environment, verbally providing OHCA bystanders with the nearest PAED's location appeared to be effective in reducing the time to defibrillation in comparison to no assistance and to an AED geolocalizing mobile app, but further research is required to confirm this hypothesis, ascertain the external validity of these results, and evaluate the real-life implications of these strategies.
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We report a case of a 56 year old male in ventricular fibrillation (VF) cardiac arrest for a total of 2 hours and 50 minutes who was diagnosed with ST elevation myocardial infarction (STEMI) during a brief 10 min period of return of spontaneous circulation (ROSC). The patient underwent successful percutaneous coronary intervention (PCI) while receiving mechanical chest compressions for ongoing VF. Our case demonstrates the potential for neurologically intact survival in VF cardiac arrest patients despite prolonged periods of VF who are treated with mechanical CPR and intra-arrest PCI.
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Ambulance patient offload time (APOT) also known colloquially as "Wall time" has been described in various jurisdictions but seems to be highly variable. Any attempt to improve APOT requires the use of common definitions and standard methodology to measure the extent of the problem. ⋯ This first step to address offload delays in California consists of standardized definitions for data collection to address the significant variability inherent in obtaining data from 33 local agencies, hundreds of EMS provider agencies, and 320 acute care hospital Emergency Departments that receive 9-1-1 ambulance transports. The first year of standardized data collection of ambulance patient offload times revealed significant ambulance patient offload time delays that are not distributed uniformly, resulting in a substantial financial burden for some EMS providers in California.