A cross‑sectional analysis of out‑of‑hospital cardiac arrests in a metropolitan area to determine optimal automated external defibrillator placement

Mukadder Tortumlu; Umut Payza; Hüsniye Ebru Çolak

doi:10.4103/tjem.tjem_83_25

Mukadder Tortumlu¹, Umut Payza², Hüsniye Ebru Çolak³

¹Department of First Aid and Emergency Care, Vocational School of Health Services, Izmir Katip Çelebi University, Izmir, Türkiye
²Department of Emergency Medicine, Faculty of Medicine, Atatürk Training and Research Hospital, Izmir Katip Çelebi University, Izmir, Türkiye
³Department of Geomatics Engineering, Faculty of Engineering, Karadeniz Technical University, Trabzon, Türkiye

Keywords: Automated external defibrillator, basic life support, bystander, out‑of‑hospital cardiac arrest, survival

Abstract

OBJECTIVES: The aim of this study is to determine the most appropriate locations for the effective use of automated external defibrillators (AEDs) by examining the locations and frequency of out of hospital cardiac arrests (OHCAs) in a metropolitan city in Izmir.

METHODS: This research is a retrospective cross sectional study. The data of the study were obtained from the Emergency Health Automation System. Data belonging to OHCA cases intervened by emergency aid ambulances were analyzed. The data were recorded and mapped by matching the regions where deaths occurred with the address records. Geographic Information Systems technologies were used in mapping the data. Kernel density analysis was used to produce density maps of point cases. Data analyses were performed with IBM SPSS Statistics 25.0 Statistical Program, and binary logistic regression analysis was used to determine the factors affecting the frequency of arrest. The significance value was accepted as P < 0.10 for logistic regression analysis and P < 0.05 for other tests.

RESULTS: In the study, a total of 1790 OHCA cases were identified in public areas in the center of the metropolitan city between 2015 and 2020. Of the 1790 OHCAs, 34.5% were female and 65.5% were male. 49.4% of the deaths were seen in public areas and on streets and avenues where human movement is high. Approximately 34.5% of the deaths were seen in nursing homes. Only one cardiac arrest case was seen at the international airport in the city. The average arrival time of ambulances was found to be 7.3 min in the city center.

CONCLUSION: This study is the first AED location determination study conducted in Turkey based on OHCA cases. Each country and region should reveal its sociocultural differences and make its plans by taking population mobility into account. Instead of making decisions based solely on the number of deaths, population mobility should be the determining factor. Countries should evaluate their AED installation policies in this context.

How to cite this article: Tortumlu M, Payza U, Çolak HE. Across‑sectional analysis of out‑of‑hospital cardiac arrests in a metropolitan area to determine optimal automated external defibrillator placement. Turk J Emerg Med 2025;25:265-72.