Cargando…

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

INTRODUCTION: 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...

Descripción completa

Detalles Bibliográficos
Autores principales: Aeby, Dylan, Staeger, Philippe, Dami, Fabrice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136701/
https://www.ncbi.nlm.nih.gov/pubmed/34014960
http://dx.doi.org/10.1371/journal.pone.0250591
_version_ 1783695480101797888
author Aeby, Dylan
Staeger, Philippe
Dami, Fabrice
author_facet Aeby, Dylan
Staeger, Philippe
Dami, Fabrice
author_sort Aeby, Dylan
collection PubMed
description INTRODUCTION: 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. METHODS: 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. RESULTS: 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. DISCUSSION: 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 Online
Article
Text
id pubmed-8136701
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-81367012021-06-02 How to improve automated external defibrillator placement for out-of-hospital cardiac arrests: A case study Aeby, Dylan Staeger, Philippe Dami, Fabrice PLoS One Research Article INTRODUCTION: 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. METHODS: 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. RESULTS: 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. DISCUSSION: 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. Public Library of Science 2021-05-20 /pmc/articles/PMC8136701/ /pubmed/34014960 http://dx.doi.org/10.1371/journal.pone.0250591 Text en © 2021 Aeby et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Aeby, Dylan
Staeger, Philippe
Dami, Fabrice
How to improve automated external defibrillator placement for out-of-hospital cardiac arrests: A case study
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136701/
https://www.ncbi.nlm.nih.gov/pubmed/34014960
http://dx.doi.org/10.1371/journal.pone.0250591
work_keys_str_mv AT aebydylan howtoimproveautomatedexternaldefibrillatorplacementforoutofhospitalcardiacarrestsacasestudy
AT staegerphilippe howtoimproveautomatedexternaldefibrillatorplacementforoutofhospitalcardiacarrestsacasestudy
AT damifabrice howtoimproveautomatedexternaldefibrillatorplacementforoutofhospitalcardiacarrestsacasestudy