Simulation-based training improves process times in acute stroke care (STREAM)
Beteiligte Einrichtungen
Abstract
BACKGROUND: The objective of the STREAM Trial was to evaluate the effect of simulation training on process times in acute stroke care.
METHODS: The multicenter prospective interventional STREAM Trial was conducted between 10/2017 and 04/2019 at seven tertiary care neurocenters in Germany with a pre- and post-interventional observation phase. We recorded patient characteristics, acute stroke care process times, stroke team composition and simulation experience for consecutive direct-to-center patients receiving intravenous thrombolysis (IVT) and/or endovascular therapy (EVT). The intervention consisted of a composite intervention centered around stroke-specific in situ simulation training. Primary outcome measure was the 'door-to-needle' time (DTN) for IVT. Secondary outcome measures included process times of EVT and measures taken to streamline the pre-existing treatment algorithm.
RESULTS: The effect of the STREAM intervention on the process times of all acute stroke operations was neutral. However, secondary analyses showed a DTN reduction of 5 min from 38 min pre-intervention (interquartile range [IQR] 25-43 min) to 33 min (IQR 23-39 min, p = 0.03) post-intervention achieved by simulation-experienced stroke teams. Concerning EVT, we found significantly shorter door-to-groin times in patients who were treated by teams with simulation experience as compared to simulation-naive teams in the post-interventional phase (-21 min, simulation-naive: 95 min, IQR 69-111 vs. simulation-experienced: 74 min, IQR 51-92, p = 0.04).
CONCLUSION: An intervention combining workflow refinement and simulation-based stroke team training has the potential to improve process times in acute stroke care.
Bibliografische Daten
Originalsprache | Englisch |
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ISSN | 1351-5101 |
DOIs | |
Status | Veröffentlicht - 01.2022 |
Anmerkungen des Dekanats
© 2021 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.
PubMed | 34478596 |
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