ArticleBMJ open2017
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.
Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Dispatcher referral of bystanders to retrieve drone-delivered automated external defibrillators in cases of suspected out-of-hospital cardiac arrest.Resuscitation plus · 2026Article
- Spatiotemporal disparities in automated external defibrillator access: identifying national deficits.Resuscitation plus · 2025Article
- Revealing the decision-making practices in automated external defibrillator deployment: insights from Shanghai, China.BMC public health · 2025Article
- Local DEA app: Saving lives with accessible and well-located automated external defibrillators.PloS one · 2025Article
- Dispatcher nurses' experiences of handling drones equipped with automated external defibrillators in suspected out-of-hospital cardiac arrest - a qualitative study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2024Article
- Evaluation of functional and electrical features of automatic external defibrillators in extreme altitude and temperature environments.Resuscitation plus · 2024Article
- Effects of Dispatcher-Assisted Public-Access Defibrillation Programs on the Outcomes of Out-of-Hospital Cardiac Arrest: A Before-and-After Study.Journal of the American Heart Association · 2024Article
- Article
- Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data.ISPRS international journal of geo-information · 2023Article
- Are there disparities in the location of automated external defibrillators in England?Resuscitation · 2022Article
- A Review of the Commercially Available ECG Detection and Transmission Systems-The Fuzzy Logic Approach in the Prevention of Sudden Cardiac Arrest.Micromachines · 2021Review
- How to improve automated external defibrillator placement for out-of-hospital cardiac arrests: A case study.PloS one · 2021Article
- Effectiveness of a video lesson for the correct use in an emergency of the automated external defibrillator (AED).Acta bio-medica : Atenei Parmensis · 2020Observational
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesEarly 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.
methodOHCA 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.
resultsBetween 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).
conclusionThe 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.
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