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Observational Study
National coverage of out-of-hospital cardiac arrests using automated external defibrillator-equipped drones - A geographical information system analysis.
- S Schierbeck, A Nord, L Svensson, A Rawshani, J Hollenberg, M Ringh, S Forsberg, P Nordberg, F Hilding, and A Claesson.
- Department of Medicine, Centre for Resuscitation Science, Karolinska Institutet, Solna, Sweden. Electronic address: sofia.schierbeck@ki.se.
- Resuscitation. 2021 Jun 1; 163: 136-145.
BackgroundEarly defibrillation is essential for increasing the chance of survival in out-of-hospital-cardiac-arrest (OHCA). Automated external defibrillator (AED)-equipped drones have a substantial potential to shorten times to defibrillation in OHCA patients. However, optimal locations for drone deployment are unknown. Our aims were to find areas of high incidence of OHCA on a national level for placement of AED-drones, and to quantify the number of drones needed to reach 50, 80, 90 and 100% of the target population within eight minutes.MethodsThis is a retrospective observational study of OHCAs reported to the Swedish Registry for Cardiopulmonary Resuscitation between 2010-2018. Spatial analyses of optimal drone placement were performed using geographical information system (GIS)-analyses covering high-incidence areas (>100 OHCAs in 2010-2018) and response times.Results39,246 OHCAs were included. To reach all OHCAs in high-incidence areas with AEDs delivered by drone or ambulance within eight minutes, 61 drone systems would be needed, resulting in overall OHCA coverage of 58.2%, and median timesaving of 05:01 (min:sec) [IQR 03:22-06:19]. To reach 50% of the historically reported OHCAs in <8 min, 21 drone systems would be needed; for 80%, 366; for 90%, 784, and for 100%, 2408.ConclusionsAt a national level, GIS-analyses can identify high incidence areas of OHCA and serve as tools to quantify the need of AED-equipped drones. Use of only a small number of drone systems can increase national coverage of OHCA substantially. Prospective real-life studies are needed to evaluate theoretically optimized suggestions for drone placement.Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.
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