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Improving Access to Automated External Defibrillators in Rural and Remote Settings: A Drone Delivery Feasibility Study
BACKGROUND: Time to treatment is critical for survival from sudden cardiac arrest. Every minute delay in defibrillation results in a 7% to 10% reduction in survival. This is particularly problematic in rural and remote regions, where emergency medical service response is prolonged and automated exte...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660725/ https://www.ncbi.nlm.nih.gov/pubmed/32627636 http://dx.doi.org/10.1161/JAHA.120.016687 |
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author | Cheskes, Sheldon McLeod, Shelley L. Nolan, Michael Snobelen, Paul Vaillancourt, Christian Brooks, Steven C. Dainty, Katie N. Chan, Timothy C. Y. Drennan, Ian R. |
author_facet | Cheskes, Sheldon McLeod, Shelley L. Nolan, Michael Snobelen, Paul Vaillancourt, Christian Brooks, Steven C. Dainty, Katie N. Chan, Timothy C. Y. Drennan, Ian R. |
author_sort | Cheskes, Sheldon |
collection | PubMed |
description | BACKGROUND: Time to treatment is critical for survival from sudden cardiac arrest. Every minute delay in defibrillation results in a 7% to 10% reduction in survival. This is particularly problematic in rural and remote regions, where emergency medical service response is prolonged and automated external defibrillators (AEDs) are often not available. Our primary objective was to examine the feasibility of a novel AED drone delivery method for rural and remote sudden cardiac arrest. A secondary objective was to compare response times between AED drone delivery and ambulance to mock sudden cardiac arrest resuscitations. METHODS AND RESULTS: We conducted 6 simulations in 2 rural communities in southern Ontario, Canada. In the first 2 simulations, the drone and ambulance were dispatched from the same paramedic base. In simulations 3 and 4, the drone and ambulance were dispatched from separate paramedic bases; and in simulations 5 and 6, the drone was dispatched from an optimized location. During each simulation, a “mock” call was placed to 911 and a single AED drone and an ambulance were simultaneously dispatched to a predetermined destination. On scene, trained first responders retrieved the AED from the drone and initiated resuscitative efforts on a mannequin until paramedics arrived. No difficulties were encountered during drone activation by dispatch, ascent, landing, or bystander retrieval of the AED from the drone. During simulations 1 and 2, the distance to the scene was 6.6 km. For simulations 3 and 4, the ambulance response distance increased to 8.8 km while drone remained at 6.6 km; and in simulations 5 and 6, the ambulance response distance was 20 km compared with 9 km for the drone. During each flight, the AED drone arrived on scene before the ambulance, between 1.8 and 8.0 minutes faster. CONCLUSIONS: This study suggests AED drone delivery is feasible, with the potential for improvements in response time during simulated sudden cardiac arrest scenarios. Further research is required to determine the appropriate system configuration for AED drone delivery in an integrated emergency medical service system as well as optimal strategies to simplify bystander application of a drone‐delivered AED. |
format | Online Article Text |
id | pubmed-7660725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76607252020-11-17 Improving Access to Automated External Defibrillators in Rural and Remote Settings: A Drone Delivery Feasibility Study Cheskes, Sheldon McLeod, Shelley L. Nolan, Michael Snobelen, Paul Vaillancourt, Christian Brooks, Steven C. Dainty, Katie N. Chan, Timothy C. Y. Drennan, Ian R. J Am Heart Assoc Original Research BACKGROUND: Time to treatment is critical for survival from sudden cardiac arrest. Every minute delay in defibrillation results in a 7% to 10% reduction in survival. This is particularly problematic in rural and remote regions, where emergency medical service response is prolonged and automated external defibrillators (AEDs) are often not available. Our primary objective was to examine the feasibility of a novel AED drone delivery method for rural and remote sudden cardiac arrest. A secondary objective was to compare response times between AED drone delivery and ambulance to mock sudden cardiac arrest resuscitations. METHODS AND RESULTS: We conducted 6 simulations in 2 rural communities in southern Ontario, Canada. In the first 2 simulations, the drone and ambulance were dispatched from the same paramedic base. In simulations 3 and 4, the drone and ambulance were dispatched from separate paramedic bases; and in simulations 5 and 6, the drone was dispatched from an optimized location. During each simulation, a “mock” call was placed to 911 and a single AED drone and an ambulance were simultaneously dispatched to a predetermined destination. On scene, trained first responders retrieved the AED from the drone and initiated resuscitative efforts on a mannequin until paramedics arrived. No difficulties were encountered during drone activation by dispatch, ascent, landing, or bystander retrieval of the AED from the drone. During simulations 1 and 2, the distance to the scene was 6.6 km. For simulations 3 and 4, the ambulance response distance increased to 8.8 km while drone remained at 6.6 km; and in simulations 5 and 6, the ambulance response distance was 20 km compared with 9 km for the drone. During each flight, the AED drone arrived on scene before the ambulance, between 1.8 and 8.0 minutes faster. CONCLUSIONS: This study suggests AED drone delivery is feasible, with the potential for improvements in response time during simulated sudden cardiac arrest scenarios. Further research is required to determine the appropriate system configuration for AED drone delivery in an integrated emergency medical service system as well as optimal strategies to simplify bystander application of a drone‐delivered AED. John Wiley and Sons Inc. 2020-07-04 /pmc/articles/PMC7660725/ /pubmed/32627636 http://dx.doi.org/10.1161/JAHA.120.016687 Text en © 2020 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Research Cheskes, Sheldon McLeod, Shelley L. Nolan, Michael Snobelen, Paul Vaillancourt, Christian Brooks, Steven C. Dainty, Katie N. Chan, Timothy C. Y. Drennan, Ian R. Improving Access to Automated External Defibrillators in Rural and Remote Settings: A Drone Delivery Feasibility Study |
title | Improving Access to Automated External Defibrillators in Rural and Remote Settings: A Drone Delivery Feasibility Study |
title_full | Improving Access to Automated External Defibrillators in Rural and Remote Settings: A Drone Delivery Feasibility Study |
title_fullStr | Improving Access to Automated External Defibrillators in Rural and Remote Settings: A Drone Delivery Feasibility Study |
title_full_unstemmed | Improving Access to Automated External Defibrillators in Rural and Remote Settings: A Drone Delivery Feasibility Study |
title_short | Improving Access to Automated External Defibrillators in Rural and Remote Settings: A Drone Delivery Feasibility Study |
title_sort | improving access to automated external defibrillators in rural and remote settings: a drone delivery feasibility study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660725/ https://www.ncbi.nlm.nih.gov/pubmed/32627636 http://dx.doi.org/10.1161/JAHA.120.016687 |
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