Prehospital stroke diagnostics using three different simulation methods: A pragmatic pilot study
Emma, Christensen; Bugge, Helge Fagerheim; Hagemo, Jostein Skjalg; Larsen, Karianne; Harring, Astrid Karina V.; Gleditsch, Jostein; Ibsen, Jørgen; Guterud, Mona; Sandset, Else Charlotte; Hov, Maren Ranhoff
Peer reviewed, Journal article
Published version
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https://hdl.handle.net/11250/3130833Utgivelsesdato
2024Metadata
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Originalversjon
https://doi.org/10.1177/239698732412525Sammendrag
Introduction: The optimal pathway for ultra-early diagnostics and treatment in patients with acute stroke remains
uncertain. The aim of this study was to investigate how three different methods of simulated, rural prehospital computed
tomography (CT) affected the time to prehospital treatment decision in acute stroke.
Materials and Methods: In this pragmatic, simulation, pilot study of prehospital CT we investigated a conventional
ambulance with transport to a standard care rural stationary CT machine managed by paramedics, a Mobile Stroke Unit
(MSU), and a helicopter with a simulated CT machine. Each modality completed 20 real-life dispatches combined with
simulation of predetermined animated patient cases with acute stroke symptoms and CT images. The primary endpoint
of the study was the time from alarm to treatment decision.
Results: Median time from alarm to the treatment decision differed significantly between the three groups (p = 0.0005),
with 38 min for rural CT, 33 min for the MSU, and 30 min for the helicopter. There was no difference in time when
comparing rural CT with MSU, nor when comparing the MSU with the helicopter. There was a difference in time
to treatment decision between the rural CT and the helicopter (p < 0.0001). The helicopter had significantly lower
estimated time from treatment decision to hospital (p = 0.001).
Disscussion/Conclusion: Prehospital CT can be organized in several ways depending on geography, resources and
need. Further research on paramedic run rural CT, MSU in rural areas, and helicopter CT is needed to find the optimal
strategy.