Literature DB >> 23702153

A poor association between out-of-hospital cardiac arrest location and public automated external defibrillator placement.

Matthew J Levy1, Kevin G Seaman, Michael G Millin, Richard A Bissell, J Lee Jenkins.   

Abstract

INTRODUCTION: Much attention has been given to the strategic placement of automated external defibrillators (AEDs). The purpose of this study was to examine the correlation of strategically placed AEDs and the actual location of cardiac arrests.
METHODS: A retrospective review of data maintained by the Maryland Institute for Emergency Medical Services Systems (MIEMSS), specifically, the Maryland Cardiac Arrest Database and the Maryland AED Registry, was conducted. Location types for AEDs were compared with the locations of out-of-hospital cardiac arrests in Howard County, Maryland. The respective locations were compared using scatter diagrams and r2 statistics.
RESULTS: The r2 statistics for AED location compared with witnessed cardiac arrest and total cardiac arrests were 0.054 and 0.051 respectively, indicating a weak relationship between the two variables in each case. No AEDs were registered in the three most frequently occurring locations for cardiac arrests (private homes, skilled nursing facilities, assisted living facilities) and no cardiac arrests occurred at the locations where AEDs were most commonly placed (community pools, nongovernment public buildings, schools/educational facilities).
CONCLUSION: A poor association exists between the location of cardiac arrests and the location of AEDs.

Entities:  

Mesh:

Year:  2013        PMID: 23702153     DOI: 10.1017/S1049023X13000411

Source DB:  PubMed          Journal:  Prehosp Disaster Med        ISSN: 1049-023X            Impact factor:   2.040


  7 in total

1.  [Ten years of early defibrillation: "Bochum against sudden cardiac death". Acceptance and critical analysis of using automated external defibrillators].

Authors:  C Hanefeld; C Kloppe; W Breger; A Kloppe; A Mügge; M Wiemer
Journal:  Med Klin Intensivmed Notfmed       Date:  2014-10-29       Impact factor: 0.840

2.  Employment and residential characteristics in relation to automated external defibrillator locations.

Authors:  Heather M Griffis; Roger A Band; Matthew Ruther; Michael Harhay; David A Asch; John C Hershey; Shawndra Hill; Lindsay Nadkarni; Austin Kilaru; Charles C Branas; Frances Shofer; Graham Nichol; Lance B Becker; Raina M Merchant
Journal:  Am Heart J       Date:  2015-10-28       Impact factor: 4.749

3.  The Case for Drone-assisted Emergency Response to Cardiac Arrest: An Optimized Statewide Deployment Approach.

Authors:  Brittany M Bogle; Wayne D Rosamond; Kyle T Snyder; Jessica K Zègre-Hemsey
Journal:  N C Med J       Date:  2019 Jul-Aug

4.  Are there disparities in the location of automated external defibrillators in England?

Authors:  Terry P Brown; Gavin D Perkins; Christopher M Smith; Charles D Deakin; Rachael Fothergill
Journal:  Resuscitation       Date:  2021-10-29       Impact factor: 5.262

5.  Use of a geographic information system to identify differences in automated external defibrillator installation in urban areas with similar incidence of public out-of-hospital cardiac arrest: a retrospective registry-based study.

Authors:  David Fredman; Jan Haas; Yifang Ban; Martin Jonsson; Leif Svensson; Therese Djarv; Jacob Hollenberg; Per Nordberg; Mattias Ringh; Andreas Claesson
Journal:  BMJ Open       Date:  2017-06-02       Impact factor: 2.692

Review 6.  Effective deployment of public-access automated external defibrillators to improve out-of-hospital cardiac arrest outcomes.

Authors:  Shinji Nakahara; Tetsuya Sakamoto
Journal:  J Gen Fam Med       Date:  2017-05-08

7.  Geospatial Clustering of Opioid-Related Emergency Medical Services Runs for Public Deployment of Naloxone.

Authors:  Daniel A Dworkis; Scott G Weiner; Vincent T Liao; Danielle Rabickow; Scott A Goldberg
Journal:  West J Emerg Med       Date:  2018-05-15
  7 in total

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