Abstract

BackgroundGeographical service areas are used as descriptive system indicators in Emergency Medical Service (EMS) related studies and reporting templates. The actual service area may differ significantly from administrative areas; this may lead to inaccuracy in determining indicator values, such as population or mission density, thus making it biased when comparing results between different areas and organizations.The aim of this study was to introduce a univocal, repeatable and easily adaptable method to determine the actual service area of a helicopter emergency medical service (HEMS) unit for statistical, quality measurement and research purposes using widely available geographical information (GIS) and statistical analysis tools.MethodsThe method was first tested with Tampere HEMS unit. All accepted missions in 2017 were extracted from FinnHEMS database (FHDB). We calculated distance from HEMS base to each accepted mission location. Missions were reordered based on the distance and 99th and 95th percentiles were calculated for mission distances. Convex hulls including 100, 99 and 95% of the missions, and the population and area covered by these missions, were then calculated. The method was repeated for all Finnish HEMS bases.ResultsApproximately 90% of Tampere HEMS unit’s accepted missions took place within 100 km from the base. 10.9% of the missions occurred outside of the administrative service area. 95% convex hull areas are most in line with the everyday experience of where the units actually operate. In Tampere, the 95% convex hull area corresponds to 76,5% of the administrative area’s population and to 89,8% of its area. Calculating the 95% convex hull areas for all Finnish HEMS units results in service areas that overlap at some points, and some areas of the country fall outside of all HEMS service areas.ConclusionsAdministrative areas do not correspond to the actual service areas of HEMS units. The service area of a HEMS unit defined by administrative boundaries may differ significantly from actual operations. Using historical mission data to create a convex hull that incorporates mission locations could offer a standardized and comparable solution for determining actual HEMS unit service areas, which can be used for statistical comparison, quality measurement and system development.

Highlights

  • Geographical service areas, and the populations within them, are used as descriptive system indicators in various Emergency Medical Service (EMS) related studies and reporting templates [1]

  • A very large body of water or a stretch of uninhabited wilderness may create a statistical bias by decreasing spatial density indicator values, causing the effective area of operations to appear remarkably smaller than the administrative area

  • In this study we aim to introduce a univocal, repeatable and adaptable method, based on historical mission data, to determine the actual service area of a helicopter emergency medical service (HEMS) unit using widely available geographical information (GIS) and statistical analysis tools

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Summary

Introduction

Geographical service areas, and the populations within them, are used as descriptive system indicators in various Emergency Medical Service (EMS) related studies and reporting templates [1]. While these values are used to calculate indicators, such as population or mission density, there is currently no standardized method to consistently. Geographical service areas are used as descriptive system indicators in Emergency Medical Service (EMS) related studies and reporting templates. The aim of this study was to introduce a univocal, repeatable and adaptable method to determine the actual service area of a helicopter emergency medical service (HEMS) unit for statistical, quality measurement and research purposes using widely available geographical information (GIS) and statistical analysis tools

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