Analysis of out-of-hospital cardiac arrest location and public access defibrillator placement in Metropolitan Phoenix,Arizona |
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| Affiliation: | 1. Arizona Department of Health Services Bureau of Emergency Medical Services and Trauma System, Phoenix, AZ, United States;2. Arizona Emergency Medicine Research Center, University of Arizona College of Medicine, Tucson, AZ, United States;3. Department of Emergency Medicine, Korea University Ansan Hospital, Ansan, Gyeonggido, South Korea;4. Department of Emergency Medicine, Mayo Clinic, Jacksonville, FL, United States;5. Arizona Department of Health Services Bureau of Public Health Statistics, Phoenix, AZ, United States;6. University of Pennsylvania School of Medicine, Philadelphia, PA, United States;7. Department of Emergency Medicine, Maricopa Medical Center, Phoenix, AZ, United States;1. Paris Cardiovascular Research Center, INSERM Unit 970, Paris, France;2. Université Paris Descartes, Sorbonne Paris Cité, Paris, France;3. Assistance Publique–Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Cardiology department, Paris, France;4. Sudden Death Expertise Center, Paris, France;5. Département des Urgences, Hôpital Cochin, Paris, France;6. Service Médical d’Urgence–Brigade de Sapeurs-Pompiers de, Paris, France;7. Service d’Aide Médicale Urgente de Paris, Paris, France;8. Département de Réanimation Médicale, Hôpital Cochin, Paris, France;1. University of Pittsburgh School of Medicine, Pittsburgh, PA, United States;2. University of Pittsburgh School of Computing and Information, Pittsburgh, PA, United States;1. Healthcare Analytics Unit, The Children’s Hospital of Philadelphia, United States;2. Department of Biomedical Health Informatics, The Children’s Hospital of Philadelphia, United States;3. Cardiac Center Research Core, The Children’s Hospital of Philadelphia, United States;4. The Children’s Hospital of Philadelphia, United States;5. Division of Critical Care, The Children’s Hospital of Philadelphia, United States;6. Division of Emergency Medical Services and Disaster Medicine, University of Texas Health Science Center, United States;7. Division of Trauma Anesthesiology, University of Southern California, United States;8. Department of Emergency Medicine, Emory University, United States;9. Division of Pediatric Emergency Medicine, Department of Pediatrics, University of Washington School of Medicine, United States;10. Sky Ridge Medical Center, United States;1. Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada;2. Department of Cardiology, Copenhagen University Hospital Gentofte, Copenhagen, Denmark;3. Emergency Medical Services Copenhagen, University of Copenhagen, Copenhagen, Denmark;4. Department of Health, Science, and Technology, Aalborg University, Aalborg, Denmark;5. Division of Emergency Medicine, Department of Medicine, University of Toronto, Toronto, Ontario, Canada;6. Rescu, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada;7. Department of Emergency Medicine, Queen’s University, Kingston, Ontario, Canada;1. Department of Anaesthesia, Centre of Head and Orthopaedics, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark;2. The Emergency Medical Services, The Capital Region of Denmark and Copenhagen, University of Copenhagen, Copenhagen, Denmark;3. Department of Cardiology, Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark |
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| Abstract: | ObjectivesAutomated external defibrillators (AEDs) improve outcomes from out-of-hospital cardiac arrest (OHCA) but are infrequently used. We sought to compare the locations of OHCAs and AEDs in metropolitan Phoenix, Arizona.MethodsPublic location OHCAs and AEDs were geocoded utilizing a statewide OHCA database (1/2010–12/2012) and AED registry. OHCAs were mapped using kernel-density estimation and overlapped with AED placements. Spearman's rho was obtained to determine the correlation between OHCA incidents and AED locations.ResultsA total of 654 consecutive public location OHCAs and all 1704 non-medical facility AEDs registered in the study area were included in the analysis. High OHCA incident areas lacking AEDs were identified in the kernel-density surface map. OHCA event/AED correlation analysis showed a weak correlation (Spearman's rho = 0.283; p = 0.002). Events occurred most frequently at locations categorized as “In Cars/Roads/Parking lots” (190/654, 29.1%) and there were no identified AEDs for these areas. AEDs were placed most frequently in “Public business/Office/Workplace” and cardiac arrests occurred with the second highest frequency in this location type.ConclusionThere was a weak correlation between OHCA events and deployed AEDs. It was possible to identify areas where OHCAs occurred frequently but AEDs were lacking. The ability to correlate the sites of OHCAs and AED locations is a necessary step toward improving the effectiveness of public access defibrillation. |
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| Keywords: | Automated external defibrillator Cardiac arrest Defibrillation Resuscitation |
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