Evidence map›Paper›PMID 27325670›Full record

ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2017

Exploring optimal air ambulance base locations in Norway using advanced mathematical modelling.

Jo Røislien, Pieter L van den Berg, Thomas Lindner, Erik Zakariassen, Karen Aardal, J Theresia van Essen

Abstract read
In one paragraph

Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Selection of helicopter bases and transport modes to minimize pre-hospital times in Iceland.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  3. The impact of concurrency conflicts on optimal location of air ambulance bases in Norway.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  4. Article
  5. Locating helicopter ambulance bases in Iceland: efficient and fair solutions.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023
    Article
  6. Article
  7. Introducing fairness in Norwegian air ambulance base location planning.Scandinavian journal of trauma, resuscitation and emergency medicine · 2021
    Article
  8. Review
  9. Article
  10. Comparing population and incident data for optimal air ambulance base locations in Norway.Scandinavian journal of trauma, resuscitation and emergency medicine · 2018
    Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jo RøislienDepartment of Health Studies, University of Stavanger, Stavanger, Norway.
Pieter L van den BergDelft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.
Thomas LindnerDepartment of Research, Norwegian Air Ambulance Foundation, Drøbak, Norway.
Erik ZakariassenDepartment of Research, Norwegian Air Ambulance Foundation, Drøbak, Norway.
Karen AardalDelft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.
J Theresia van EssenDelft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHelicopter emergency medical services are an important part of many healthcare systems. Norway has a nationwide physician staffed air ambulance service with 12 bases servicing a country with large geographical variations in population density. The aim of the study was to estimate optimal air ambulance base locations.

methodsWe used high resolution population data for Norway from 2015, dividing Norway into >300 000 1 km×1 km cells. Inhabited cells had a median (5-95 percentile) of 13 (1-391) inhabitants. Optimal helicopter base locations were estimated using the maximal covering location problem facility location optimisation model, exploring the number of bases needed to cover various fractions of the population for time thresholds 30 and 45 min, both in green field scenarios and conditioning on the current base structure. We reanalysed on municipality level data to explore the potential information loss using coarser population data.

resultsFor a 45 min threshold, 90% of the population could be covered using four bases, and 100% using nine bases. Given the existing bases, the calculations imply the need for two more bases to achieve full coverage. Decreasing the threshold to 30 min approximately doubles the number of bases needed. Results using municipality level data were remarkably similar to those using fine grid information.

conclusionsThe whole population could be reached in 45 min or less using nine optimally placed bases. The current base structure could be improved by moving or adding one or two select bases. Municipality level data appears sufficient for proper analysis.

Indexed as

Air AmbulancesEfficiency, OrganizationalEmergency Medical ServicesHealth Services AccessibilityModels, TheoreticalGeographyHealth Services ResearchHumansNorwayTime FactorsTransportation of Patients

Identifiers

PMID27325670
PMCPMC5293838

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.