Evaluation of emergency medical service application from a geographical location perspective in Turkey

An important area of use of the geographic information systems in health is the organization of Emergency Medical Services (EMS). In this study, the EMS application offered in Turkey's 81 provinces, in particular, Istanbul metropolis, which has the highest population in the country, was examined with a statistical approach. It was determined that the correlation level between the number of EMS stations and the population of the 39 districts of Istanbul was higher compared to the land area and population density; the number of EMS stations in the Fatih District was significantly greater than the median value of the number of EMS stations in all districts of Istanbul. It was determined that the number of EMS stations, ambulances, and hospitals in Istanbul is significantly greater than the median value of all provinces in Turkey; the population density per hospital and EMS station in Istanbul is significantly greater than the median value of all provinces, and the area value is smaller than the median value of all provinces. Ambulance response time, hospital transfer time and reasons for delays at these stages were questioned through a survey. The most common reasons for delay were traffic congestion, followed by the few and far distances of ambulance stations. Considering the problems arising from the geographical location of EMS stations and hospitals, it is expected that taking population density into account when planning EMS station distribution would contribute to increased efficiency in EMS and equality in access to services.

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Publication Details

Journal
Geospatial health
Published
2025-09-29
DOI
https://doi.org/10.4081/gh.2025.1408
Primary Topic
Trauma and Emergency Care Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation of emergency medical service application from a geographical location perspective in Turkey

Rahmi Nurhan Çeli̇k, Özgür Elmas
Geospatial health
Trauma and Emergency Care Studies
article

Evaluation of emergency medical service application from a geographical location perspective in Turkey

Rahmi Nurhan Çeli̇k, Özgür Elmas
article en

Abstract

An important area of use of the geographic information systems in health is the organization of Emergency Medical Services (EMS). In this study, the EMS application offered in Turkey's 81 provinces, in particular, Istanbul metropolis, which has the highest population in the country, was examined with a statistical approach. It was determined that the correlation level between the number of EMS stations and the population of the 39 districts of Istanbul was higher compared to the land area and population density; the number of EMS stations in the Fatih District was significantly greater than the median value of the number of EMS stations in all districts of Istanbul. It was determined that the number of EMS stations, ambulances, and hospitals in Istanbul is significantly greater than the median value of all provinces in Turkey; the population density per hospital and EMS station in Istanbul is significantly greater than the median value of all provinces, and the area value is smaller than the median value of all provinces. Ambulance response time, hospital transfer time and reasons for delays at these stages were questioned through a survey. The most common reasons for delay were traffic congestion, followed by the few and far distances of ambulance stations. Considering the problems arising from the geographical location of EMS stations and hospitals, it is expected that taking population density into account when planning EMS station distribution would contribute to increased efficiency in EMS and equality in access to services.

Geospatial healthVol. 20(2)
Istanbul Technical University (TR)
Istanbul Teknik Üniversitesi
Openalex Percentile: Top 60%
Trauma and Emergency Care Studies
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Evaluation of emergency medical service application from a geographical location perspective in Turkey — Rahmi Nurhan Çeli̇k, Özgür Elmas · Geospatial health (2025) | TGRS Research Map | TGRS