Knowledge transfer and retention of simulation-based learning for neurosurgical instruments: A randomised trial of perioperative nurses

David B. Clarke, Alena I. Galilee, Nelofar Kureshi, Murray Hong, Lynne Fenerty, Ryan C.N. D'arcy

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

2 Citas (Scopus)

Resumen

Introduction Previous studies have shown that simulation is an acceptable method of training in nursing education. The objectives of this study were to determine the effectiveness of tablet-based simulation in learning neurosurgical instruments and to assess whether skills learnt in the simulation environment are transferred to a real clinical task and retained over time. Methods A randomised controlled trial was conducted. Perioperative nurses completed three consecutive sessions of a simulation. Group A performed simulation tasks prior to identifying real instruments, whereas Group B (control group) was asked to identify real instruments prior to the simulation tasks. Both groups were reassessed for knowledge recall after 1 week. Results Ninety-three nurses completed the study. Participants in Group A, who had received tablet-based simulation, were 23% quicker in identifying real instruments and did so with better accuracy (93.2% vs 80.6%, p<0.0001) than Group B. Furthermore, the simulation-based learning was retained at 7 days with 97.8% correct instrument recognition in Group A and 96.2% in Group B while maintaining both speed and accuracy. Conclusion This is the first study to assess the effectiveness of tablet-based simulation training for instrument recognition by perioperative nurses. Our results demonstrate that instrument knowledge acquired through tablet-based simulation training results in improved identification and retained recognition of real instruments.

Idioma originalEnglish
Páginas (desde-hasta)146-153
Número de páginas8
PublicaciónBMJ Simulation and Technology Enhanced Learning
Volumen7
N.º3
DOI
EstadoPublished - may. 1 2021

Nota bibliográfica

Funding Information:
Funding This study was supported by Dalhousie University’s Brain Repair Center Knowledge Translation Grant (2015) awarded to Dr David Clarke.

Publisher Copyright:
© 2021 Author(s).

ASJC Scopus Subject Areas

  • Modelling and Simulation
  • Education
  • Health Informatics

PubMed: MeSH publication types

  • Journal Article

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