ArticlePloS one2021
How to improve automated external defibrillator placement for out-of-hospital cardiac arrests: A case study.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 22 citations in OpenAlex.
- Leveraging primary healthcare institutions for the deployment of automated external defibrillators: a geospatial optimization analysis in Deyang, China.Resuscitation plus · 2026Article
- Spatial equity in the allocation of lifesaving resources: a cross-sectional spatial evaluation of automated external defibrillators in four first-tier Chinese cities.International journal of health geographics · 2026Article
- Strategic automated external defibrillator deployment based on geospatial analysis of historical cardiac arrest locations.International journal of cardiology. Heart & vasculature · 2026Article
- Knowledge, Attitudes and Perceived Preparedness Regarding Cardiopulmonary Resuscitation and Automated External Defibrillator Use Among Health-Related University Students: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2026Article
- Towards efficient AED deployment: a multi-source data-driven geographic information approach.Frontiers in public health · 2026Article
- Identifying optimal locations for automated external defibrillators (AED) in Freiburg: development and validation of a machine learning model based on demographic and infrastructural data.BMC emergency medicine · 2025Article
- Strategic PAD positioning: a scoping review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025Article
- Geospatial mapping of disparities in out-of-hospital cardiac arrests in the Swiss canton of Fribourg, 2018-2022: A retrospective observational study.Resuscitation plus · 2025Article
- Spatiotemporal disparities in automated external defibrillator access: identifying national deficits.Resuscitation plus · 2025Article
- Cluster Analysis as a Statistical Method for Planning the Optimal Placement of Automated External Defibrillators.Journal of clinical medicine · 2025Article
- Revealing the decision-making practices in automated external defibrillator deployment: insights from Shanghai, China.BMC public health · 2025Article
- A roadmap to building first responder networks: Lessons learned and best practices from Belgium and Switzerland.Resuscitation plus · 2023Article
- Effectiveness of Cardiopulmonary Resuscitation at the Workplace.La Medicina del lavoro · 2023Observational
- A study of factors associated with the prognosis of cardiac arrest patients in a depopulated area with a high elderly population transported by Shimoda Fire Department.Journal of rural medicine : JRM · 2023Article
- CPR Quality Assessment in Schoolchildren Training.Journal of cardiovascular development and disease · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIn 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.
methodsThis 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.
resultsThere 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.
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