Is Cluster Analysis the Appropriate Statistical Method for Planning the Optimal Locations for Automated External Defibrillators?

• Main Authors: Milewski Rafał, Sokołowska Gabriela, Jankowiak Barbara, Kowalewska Beata, Milewski Marcin, Lewko Jolanta
• Format: Article
• Language: English
• Published: Sciendo 2020-12-01
• Series: Studies in Logic, Grammar and Rhetoric
• Online Access: https://doi.org/10.2478/slgr-2020-0036

The Automated External Defibrillator (AED) is an intuitive device used by witnesses of an incident without medical training in cases of sudden cardiac arrest. Its operation consists in delivering an electrical pulse to the cardiac conduction system, as a result of which normal heart rate is restored. The lack of awareness in society concerning the usefulness of the device and the inadequate deployment of AEDs result in their too infrequent application by witnesses of incidents. The aim of this paper is to verify whether cluster analysis is the appropriate statistical method to determine the appropriate deployment of AED devices on the basis of cases of sudden cardiac arrest in out-of-hospital conditions. The initial cluster analysis showed the validity of using the method in question for planning the appropriate locations of AEDs.