Characteristics of automated external defibrillator coverage in Philadelphia, PA, based on land use and estimated risk
| Autor: | Douglas J. Wiebe, Meredith C Laguna, Benjamin W. Chrisinger, Anne V. Grossestreuer, Charles C. Branas, Raina M. Merchant, Heather M. Griffis |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Risk
Geographic information system Kernel density estimation 030204 cardiovascular system & hematology Emergency Nursing Article 03 medical and health sciences 0302 clinical medicine External defibrillators Statistics Urban Health Services Medicine Humans Spatial analysis Automated external defibrillator Philadelphia Descriptive statistics Land use business.industry 030208 emergency & critical care medicine Land area Emergency Medicine Cardiology and Cardiovascular Medicine business Needs Assessment Out-of-Hospital Cardiac Arrest Defibrillators |
| Popis: | Aim Approximately 424,000 out-of-hospital cardiac arrests (OHCA) occur in the US annually. As automated external defibrillators (AED) are an important part of the community response to OHCA, we investigated how well the spatial demand (likelihood of OHCA) was met by the spatial supply (AEDs) in a dense urban environment. Methods Using geographic information system (GIS) software, we applied kernel density and optimized hot spot procedures with two differently-sized radii to model OHCA incidence rates from existing studies, providing an estimate of OHCA likelihood at a given location. We compared these density maps to existing AED coverage in the study area. Descriptive statistics summarized coverage by land use. Results With a 420-ft buffer, we found that 56.0% (79.9%, 840-ft buffer) of the land area in the city center was covered by existing AEDs at, though 70.1 (91.5)% of the OHCA risk was covered using kernel density and 79.8% (98.1) was covered using hot spot analysis. Conclusions The difference in coverage by area and risk seems to indicate efficient placement of existing AEDs. Our findings also highlight the possible benefits to expanding the influence of AEDs by lowering search times, and identify opportunities to improve AED coverage in the study area. This article offers one method by which local officials can use spatial data to prioritize attention for AED placement and coverage. |
| Databáze: | OpenAIRE |
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