How to improve automated external defibrillator placement for out-of-hospital cardiac arrests: A case study.

<h4>Introduction</h4>In out-of-hospital cardiac arrests (OHCAs), the use of an automatic external defibrillator (AED) by a bystander remains low, as AEDs may be misplaced with respect to the locations of OHCAs. As the distribution of historical OHCAs is potentially predictive of future O...

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Autores principales:	Dylan Aeby, Philippe Staeger, Fabrice Dami
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2a6d3603604947fea6859f82ea67933a
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spelling	oai:doaj.org-article:2a6d3603604947fea6859f82ea67933a2021-12-02T20:05:33ZHow to improve automated external defibrillator placement for out-of-hospital cardiac arrests: A case study.1932-620310.1371/journal.pone.0250591https://doaj.org/article/2a6d3603604947fea6859f82ea67933a2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0250591https://doaj.org/toc/1932-6203<h4>Introduction</h4>In out-of-hospital cardiac arrests (OHCAs), the use of an automatic external defibrillator (AED) by a bystander remains low, as AEDs may be misplaced with respect to the locations of OHCAs. As the distribution of historical OHCAs is potentially predictive of future OHCA locations, the purpose of this study is to assess AED positioning with regard to past locations of OHCAs, in order to improve the efficiency of public access defibrillation programs.<h4>Methods</h4>This is a retrospective observational study from 2014 to 2018. The locations of historical OHCAs and AEDs were loaded into a geodata processing tool. Median distances between AEDs were collected, as well as the number and rates of OHCAs covered (distance of <100 meters from the nearest AED). Areas with high densities of uncovered OHCAs (hotspots) were identified in order to propose the placement of additional AEDs. Areas over-covered by AEDs (overlays) were also identified in order to propose the relocation of overlapping AEDs.<h4>Results</h4>There were 2,971 OHCA, 79.3% of which occurred at home, and 633 AEDs included in the study. The global coverage rate was 7.5%. OHCAs occurring at home had a coverage rate of 4.5%. Forty hotspots were identified, requiring the same number of additional AEDs. The addition of these would increase the coverage from 7.5% to 17.6%. Regarding AED overlays, 17 AEDs were found to be relocatable without reducing the AED coverage of historical OHCAs.<h4>Discussion</h4>This study confirms that geodata tools can assess AED locations and increase the efficiency of their placement. Historical hotspots and AED overlays should be considered, with the aim of efficiently relocating or adding AEDs. At-home OHCAs should become a priority target for future public access defibrillation programs as they represent the majority of OHCAs but have the lowest AED coverage rates.Dylan AebyPhilippe StaegerFabrice DamiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0250591 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dylan Aeby Philippe Staeger Fabrice Dami How to improve automated external defibrillator placement for out-of-hospital cardiac arrests: A case study.
description	<h4>Introduction</h4>In out-of-hospital cardiac arrests (OHCAs), the use of an automatic external defibrillator (AED) by a bystander remains low, as AEDs may be misplaced with respect to the locations of OHCAs. As the distribution of historical OHCAs is potentially predictive of future OHCA locations, the purpose of this study is to assess AED positioning with regard to past locations of OHCAs, in order to improve the efficiency of public access defibrillation programs.<h4>Methods</h4>This is a retrospective observational study from 2014 to 2018. The locations of historical OHCAs and AEDs were loaded into a geodata processing tool. Median distances between AEDs were collected, as well as the number and rates of OHCAs covered (distance of <100 meters from the nearest AED). Areas with high densities of uncovered OHCAs (hotspots) were identified in order to propose the placement of additional AEDs. Areas over-covered by AEDs (overlays) were also identified in order to propose the relocation of overlapping AEDs.<h4>Results</h4>There were 2,971 OHCA, 79.3% of which occurred at home, and 633 AEDs included in the study. The global coverage rate was 7.5%. OHCAs occurring at home had a coverage rate of 4.5%. Forty hotspots were identified, requiring the same number of additional AEDs. The addition of these would increase the coverage from 7.5% to 17.6%. Regarding AED overlays, 17 AEDs were found to be relocatable without reducing the AED coverage of historical OHCAs.<h4>Discussion</h4>This study confirms that geodata tools can assess AED locations and increase the efficiency of their placement. Historical hotspots and AED overlays should be considered, with the aim of efficiently relocating or adding AEDs. At-home OHCAs should become a priority target for future public access defibrillation programs as they represent the majority of OHCAs but have the lowest AED coverage rates.
format	article
author	Dylan Aeby Philippe Staeger Fabrice Dami
author_facet	Dylan Aeby Philippe Staeger Fabrice Dami
author_sort	Dylan Aeby
title	How to improve automated external defibrillator placement for out-of-hospital cardiac arrests: A case study.
title_short	How to improve automated external defibrillator placement for out-of-hospital cardiac arrests: A case study.
title_full	How to improve automated external defibrillator placement for out-of-hospital cardiac arrests: A case study.
title_fullStr	How to improve automated external defibrillator placement for out-of-hospital cardiac arrests: A case study.
title_full_unstemmed	How to improve automated external defibrillator placement for out-of-hospital cardiac arrests: A case study.
title_sort	how to improve automated external defibrillator placement for out-of-hospital cardiac arrests: a case study.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/2a6d3603604947fea6859f82ea67933a
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How to improve automated external defibrillator placement for out-of-hospital cardiac arrests: A case study.

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