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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
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geoinformatics.
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geoinformatics.
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2017 (English)In: BMJ Open, ISSN 2044-6055, E-ISSN 2044-6055, Vol. 7, no 5, e014801Article in journal (Refereed) Published
Abstract [en]

Objectives Early defibrillation in out-of-hospital cardiac arrest (OHCA) is of importance to improve survival. In many countries the number of automated external defibrillators (AEDs) is increasing, but the use is low. Guidelines suggest that AEDs should be installed in densely populated areas and in locations with many visitors. Attempts have been made to identify optimal AED locations based on the incidence of OHCA using geographical information systems (GIS), but often on small datasets and the studies are seldom reproduced. The aim of this paper is to investigate if the distribution of public AEDs follows the incident locations of public OHCAs in urban areas of Stockholm County, Sweden. Method OHCA data were obtained from the Swedish Register for Cardiopulmonary Resuscitation and AED data were obtained from the Swedish AED Register. Urban areas in Stockholm County were objectively classified according to the pan-European digital mapping tool, Urban Atlas (UA). Furthermore, we reclassified and divided the UA land cover data into three classes (residential, non-residential and other areas). GIS software was used to spatially join and relate public AED and OHCA data and perform computations on relations and distance. Results Between 1 January 2012 and 31 December 2014 a total of 804 OHCAs occurred in public locations in Stockholm County and by December 2013 there were 1828 AEDs available. The incidence of public OHCAs was similar in residential (47.3%) and non-residential areas (43.4%). Fewer AEDs were present in residential areas than in non-residential areas (29.4% vs 68.8%). In residential areas the median distance between OHCAs and AEDs was significantly greater than in non-residential areas (288 m vs 188 m, p<0.001). Conclusion The majority of public OHCAs occurred in areas classified in UA as 'residential areas' with limited AED accessibility. These areas need to be targeted for AED installation and international guidelines need to take geographical location into account when suggesting locations for AED installation.

Place, publisher, year, edition, pages
BMJ Publishing Group Ltd, 2017. Vol. 7, no 5, e014801
Keyword [en]
AED, Automated External Defibrillator, GIS., OHCA, Out-of-hospital cardiac arrest, Urban Atlas
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Other Medical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-209605DOI: 10.1136/bmjopen-2016-014801ISI: 000402533300073Scopus ID: 2-s2.0-85020208295OAI: oai:DiVA.org:kth-209605DiVA: diva2:1113196
Note

QC 20170621

Available from: 2017-06-21 Created: 2017-06-21 Last updated: 2017-11-29Bibliographically approved

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