Strategic Automated External Defibrillator Deployment Based on Geospatial Analysis of Historical Cardiac Arrest Locations
Heckard, E. J.; Chugh, H.; Hadduck, K.; McNally, B. F.; Sovari, A.; Jui, J.; Salvucci, A.; Reinier, K.; Chugh, S.
Show abstract
ObjectiveWe hypothesized that historical out-of-hospital sudden cardiac arrest (SCA) event locations can inform deployment of automated external defibrillators (AEDs). MethodsConsecutive SCA events attended by EMS were ascertained prospectively in two identically designed community-based studies in California (Ventura County, SCA n=2,935) and Oregon (Multnomah County, SCA n=2,213). Clusters of [≥]3 historical SCA events within a 100-meter radius were plotted using geospatial analysis. Proposed AED locations were positioned within 200-meters of the clusters. An existing AED registry in Ventura County (n=998) with coordinates was also plotted. Distances between SCAs and proposed AEDs were calculated. ResultsIn Ventura County, 97 clusters of [≥]3 SCAs were identified, covering 22% (n=653) of total SCAs with 90 proposed AEDs assigned to the clusters. The mean distance between individual SCA events and the nearest AED was 99.7 (SD=53.1) meters, representing a bystander AED response time of 3.0 (SD=1.6) minutes. Proposed bystander AED response times were significantly shorter than actual EMS response times [mean difference: 3.1 (95% CI: 2.9-3.4), p<0.0001]. Similar results were observed in Multnomah County. Compared to the existing AED registry in Ventura County, 18.9% (n=17) of our 90 proposed AEDs were within 200 meters of an existing AED. Of total SCAs in Ventura County,11.4% (n=334) were within 200 meters of an existing AED. Conclusions16-22% of historical SCA events could potentially be covered by 78-90 AEDs. The remainder could be served by utilizing the standard EMS response. Outcomes studies that compare this geospatial event-localization strategy to current AED location strategies are warranted. Data Sharing statementThe entire deidentified dataset, data dictionary and analytic code for this investigation are available upon request, from the date of article publication by contacting Sumeet S. Chugh, MD, at sumeet.chugh@cshs.org.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Diversity of CPR manikins for basic life support education: Use of manikin sex, race, and body shape – A scoping review 92%
- Accuracy of the National Early Warning Score version 2 (NEWS2) in predicting need for time-critical treatment: Retrospective observational cohort study 92%
- Emergency medicine patient wait time multivariable prediction models: a multicentre derivation and validation study 92%
Similar papers in this journal
- EMS injury cause codes more accurate than emergency department visit ICD-10-CM codes for firearm injury intent in North Carolina 94%
- Derivation and validation of a triage tool for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study 92%
- Predicting factors for long-term survival in patients with out-of-hospital cardiac arrest - a propensity score-matched analysis 91%
Similar papers in this journal
- A Clinical Audit on Longer-Term Stroke Management as A Specific Service in A Primary Care Setting: Assessing Adherence of Service and Clinical Parameters 91%
- Epidemiological Patterns of Motorcycle-Related Injuries in Cameroon: A Comparative Analysis of Motorcycle Users and Pedestrians 90%
- Evolving Patterns of COVID-19 Mortality in US Counties: A Longitudinal Study of Healthcare, Socioeconomic, and Vaccination Associations 89%
Similar papers in this journal
- Performance of digital Early Warning Score (NEWS2) in a cardiac specialist setting: retrospective cohort study 92%
- Exploring Associations with Severe Hypoxemic Respiratory Failure in COVID-19 Patients upon Admission: A Model for Severe Hypoxemic Respiratory Failure in 329 Unvaccinated, Hospitalized COVID-19 Patients 92%
- Assessing the Safety of Home Oximetry for Covid-19: A multi-site retrospective observational study 92%
Similar papers in this journal
- Predictive accuracy of computer-aided versions of the on-admission National Early Warning Score in estimating the risk of COVID-19 for unplanned admission to hospital: a retrospective development and validation study 90%
- Identifying Homeless Population Needs in the Emergency Department Using Community-Based Participatory Research 89%
- Racial Disparities and Trends in Anticoagulant Use among Ambulatory Care Patients with Atrial Fibrillation and Atrial Flutter in the United States from 2007-2019 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.