ArticleEuropean stroke journal2025
Optimizing mobile stroke unit deployment: A strategic case study in the greater Oslo area.
Article in European stroke journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.
What it found
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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.
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.
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Who cites it
3 citing papers in PubMed.
- Prehospital intensive blood pressure management in intracerebral hemorrhage: current evidence, controversies, and future directions.Frontiers in medicine · 2026Review
- Selection of helicopter bases and transport modes to minimize pre-hospital times in Iceland.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025Article
- Geospatial optimization of Air-Mobile Stroke Unit deployment in Norway: expanding the frontiers of neurocritical care.Frontiers in neurologyArticle
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionA Mobile Stroke Unit (MSU) enables prehospital acute stroke assessment, which leads to increased treatment rates and improved patient outcomes. However, for optimal utilization of the specialized resource, identifying the proper location for the MSU is crucial. Motivated by this, our goal was to find the optimal placement of an MSU in the greater Oslo area using geospatial mapping, and to explore how the location may influence acute stroke treatment.
methodsHistorical data on suspected and confirmed strokes with the respective geospatial data and calculated travel times were analyzed using a mathematical optimization model based on the Maximum Coverage Location Problem (MCLP) and solved with the Gurobi solver. The model is universal and may be adapted to other regions and countries.
resultsThe optimal base location for a single MSU in the greater Oslo area would increase the coverage of stroke patients by 24%. The rendez-vous approach yields a more than doubled coverage for confirmed stroke patients. In the optimal location, the MSU has the potential to reduce time to thrombolysis by 28 minutes (28%) and time to thrombectomy by around 35 minutes (20%).
conclusionStrategic placement of an MSU in the greater Oslo area significantly increases patient coverage and may reduce treatment times in acute stroke. Geospatial analyses have the potential to aid decision making on MSU location, optimize prehospital acute stroke assessment and improve patient outcomes.
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