Simulation-based training improves process times in acute stroke care (STREAM).
Eur J Neurol
; 29(1): 138-148, 2022 01.
Article
em En
| MEDLINE
| ID: mdl-34478596
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.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Acidente Vascular Cerebral
/
Treinamento por Simulação
Tipo de estudo:
Clinical_trials
/
Observational_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article