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Published in: BMC Emergency Medicine 1/2017

Open Access 01-12-2017 | Research article

Locating helicopter emergency medical service bases to optimise population coverage versus average response time

Authors: Alan A. Garner, Pieter L. van den Berg

Published in: BMC Emergency Medicine | Issue 1/2017

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Abstract

Background

New South Wales (NSW), Australia has a network of multirole retrieval physician staffed helicopter emergency medical services (HEMS) with seven bases servicing a jurisdiction with population concentrated along the eastern seaboard. The aim of this study was to estimate optimal HEMS base locations within NSW using advanced mathematical modelling techniques.

Methods

We used high resolution census population data for NSW from 2011 which divides the state into areas containing 200–800 people. Optimal HEMS base locations were estimated using the maximal covering location problem facility location optimization model and the average response time model, exploring the number of bases needed to cover various fractions of the population for a 45 min response time threshold or minimizing the overall average response time to all persons, both in green field scenarios and conditioning on the current base structure. We also developed a hybrid mathematical model where average response time was optimised based on minimum population coverage thresholds.

Results

Seven bases could cover 98% of the population within 45mins when optimised for coverage or reach the entire population of the state within an average of 21mins if optimised for response time. Given the existing bases, adding two bases could either increase the 45 min coverage from 91% to 97% or decrease the average response time from 21mins to 19mins. Adding a single specialist prehospital rapid response HEMS to the area of greatest population concentration decreased the average state wide response time by 4mins. The optimum seven base hybrid model that was able to cover 97.75% of the population within 45mins, and all of the population in an average response time of 18 mins included the rapid response HEMS model.

Conclusions

HEMS base locations can be optimised based on either percentage of the population covered, or average response time to the entire population. We have also demonstrated a hybrid technique that optimizes response time for a given number of bases and minimum defined threshold of population coverage. Addition of specialized rapid response HEMS services to a system of multirole retrieval HEMS may reduce overall average response times by improving access in large urban areas.
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Literature
1.
go back to reference Church R, ReVelle C. The maximal covering location problem. Pap Reg Sci Assoc. 1974;32:101–18.CrossRef Church R, ReVelle C. The maximal covering location problem. Pap Reg Sci Assoc. 1974;32:101–18.CrossRef
2.
go back to reference Murray AT. Maximal coverage location problem: impacts, significance, and evolution. Int Reg Sci Rev. 2016;39:5–27.CrossRef Murray AT. Maximal coverage location problem: impacts, significance, and evolution. Int Reg Sci Rev. 2016;39:5–27.CrossRef
3.
go back to reference Pulver A, Wei R, Mann C. Locating AED enabled medical drones to enhance cardiac arrest response times. Prehosp Emerg Care. 2016;20:378–89.CrossRefPubMed Pulver A, Wei R, Mann C. Locating AED enabled medical drones to enhance cardiac arrest response times. Prehosp Emerg Care. 2016;20:378–89.CrossRefPubMed
4.
go back to reference ReVelle C, Swain R. Central facilities location. Geogr Anal. 1970;2:30–42.CrossRef ReVelle C, Swain R. Central facilities location. Geogr Anal. 1970;2:30–42.CrossRef
5.
go back to reference Dzator M, Dzator J. An effective heuristic for the p-median problem with application to ambulance location. Opsearch. 2013;50:60–74.CrossRef Dzator M, Dzator J. An effective heuristic for the p-median problem with application to ambulance location. Opsearch. 2013;50:60–74.CrossRef
6.
go back to reference Garner AA, Mann KP, Poynter E, Weatherall A, Dashey S, Puntis M, Gebski V. Prehospital response model and time to CT scan in blunt trauma patients; an exploratory analysis of data from the head injury retrieval trial. Scand J Trauma Resusc Emerg Med. 2015;23:28.CrossRefPubMedPubMedCentral Garner AA, Mann KP, Poynter E, Weatherall A, Dashey S, Puntis M, Gebski V. Prehospital response model and time to CT scan in blunt trauma patients; an exploratory analysis of data from the head injury retrieval trial. Scand J Trauma Resusc Emerg Med. 2015;23:28.CrossRefPubMedPubMedCentral
7.
go back to reference Garner AA, Lee A, Weatherall A, Langcake M, Balogh Z. Physician staffed helicopter emergency medical service case identification – a before and after study in children. Scand J Trauma Resusc Emerg Med. 2016;24:92.CrossRefPubMedPubMedCentral Garner AA, Lee A, Weatherall A, Langcake M, Balogh Z. Physician staffed helicopter emergency medical service case identification – a before and after study in children. Scand J Trauma Resusc Emerg Med. 2016;24:92.CrossRefPubMedPubMedCentral
12.
go back to reference Røislien J, van den Berg PL, Lindner T, Zakariassen E, Aardal K, van Essen T. Exploring optimal air ambulance base locations in Norway using advanced mathematical modelling. Inj Prev. 2016; 10.1136/injuryprev-2016-041973. Røislien J, van den Berg PL, Lindner T, Zakariassen E, Aardal K, van Essen T. Exploring optimal air ambulance base locations in Norway using advanced mathematical modelling. Inj Prev. 2016; 10.​1136/​injuryprev-2016-041973.
Metadata
Title
Locating helicopter emergency medical service bases to optimise population coverage versus average response time
Authors
Alan A. Garner
Pieter L. van den Berg
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Emergency Medicine / Issue 1/2017
Electronic ISSN: 1471-227X
DOI
https://doi.org/10.1186/s12873-017-0142-5

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