Evidence map›Paper›PMID 35518567›Full record

ArticleBMJ simulation & technology enhanced learning2021

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

Abstract read
In one paragraph

Article in BMJ simulation & technology enhanced learning, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

David B ClarkeDivision of Neurosurgery, Dalhousie University, Halifax, Canada.
Alena I GalileeDivision of Neurosurgery, Dalhousie University, Halifax, Canada.
Nelofar KureshiDivision of Neurosurgery, Dalhousie University, Halifax, Canada.ORCID 0000-0001-8770-3080
Murray HongDivision of Neurosurgery, Dalhousie University, Halifax, Canada.
Lynne FenertyDivision of Neurosurgery, Dalhousie University, Halifax, Canada.
Ryan C N D'ArcyHealth Sciences and Innovation, Surrey Memorial Hospital, Surrey, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

EducationKnowledge transferNursingSimulation based learning

Identifiers

PMID35518567
PMCPMC8936786

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.