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Simulation-based training for burr hole surgery instrument recognition
BACKGROUND: The use of simulation training in postgraduate medical education is an area of rapidly growing popularity and research. This study was designed to assess the impact of simulation training for instrument knowledge and recognition among neurosurgery residents. METHODS: This was a randomize...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4882815/ https://www.ncbi.nlm.nih.gov/pubmed/27233494 http://dx.doi.org/10.1186/s12909-016-0669-2 |
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author | Clarke, David B. Kureshi, Nelofar Hong, Murray Sadeghi, Maryam D’Arcy, Ryan C. N. |
author_facet | Clarke, David B. Kureshi, Nelofar Hong, Murray Sadeghi, Maryam D’Arcy, Ryan C. N. |
author_sort | Clarke, David B. |
collection | PubMed |
description | BACKGROUND: The use of simulation training in postgraduate medical education is an area of rapidly growing popularity and research. This study was designed to assess the impact of simulation training for instrument knowledge and recognition among neurosurgery residents. METHODS: This was a randomized control trial of first year residents from neurosurgery residency training programs across Canada. Eighteen neurosurgery trainees were recruited to test two simulation-based applications: PeriopSim™ Instrument Trainer and PeriopSim™ for Burr Hole Surgery. The intervention was game-based simulation training for learning neurosurgical instruments and applying this knowledge to identify correct instruments during a simulated burr hole surgery procedure. RESULTS: Participants showed significant overall improvement in total score (p < 0.0005), number of errors (p = 0.019) and time saved (p < 0.0005), over three testing sessions when using the PeriopSim™ Instrument Trainer. Participants demonstrated further performance-trained improvements when using PeriopSim™ Burr Hole Surgery. CONCLUSIONS: Training in the recognition and utilization of simulated surgical instruments by neurosurgery residents improved significantly with repetition when using PeriopSim™ Instrument Trainer and PeriopSim™ for Burr Hole Surgery. |
format | Online Article Text |
id | pubmed-4882815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48828152016-05-28 Simulation-based training for burr hole surgery instrument recognition Clarke, David B. Kureshi, Nelofar Hong, Murray Sadeghi, Maryam D’Arcy, Ryan C. N. BMC Med Educ Research Article BACKGROUND: The use of simulation training in postgraduate medical education is an area of rapidly growing popularity and research. This study was designed to assess the impact of simulation training for instrument knowledge and recognition among neurosurgery residents. METHODS: This was a randomized control trial of first year residents from neurosurgery residency training programs across Canada. Eighteen neurosurgery trainees were recruited to test two simulation-based applications: PeriopSim™ Instrument Trainer and PeriopSim™ for Burr Hole Surgery. The intervention was game-based simulation training for learning neurosurgical instruments and applying this knowledge to identify correct instruments during a simulated burr hole surgery procedure. RESULTS: Participants showed significant overall improvement in total score (p < 0.0005), number of errors (p = 0.019) and time saved (p < 0.0005), over three testing sessions when using the PeriopSim™ Instrument Trainer. Participants demonstrated further performance-trained improvements when using PeriopSim™ Burr Hole Surgery. CONCLUSIONS: Training in the recognition and utilization of simulated surgical instruments by neurosurgery residents improved significantly with repetition when using PeriopSim™ Instrument Trainer and PeriopSim™ for Burr Hole Surgery. BioMed Central 2016-05-27 /pmc/articles/PMC4882815/ /pubmed/27233494 http://dx.doi.org/10.1186/s12909-016-0669-2 Text en © Clarke et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Clarke, David B. Kureshi, Nelofar Hong, Murray Sadeghi, Maryam D’Arcy, Ryan C. N. Simulation-based training for burr hole surgery instrument recognition |
title | Simulation-based training for burr hole surgery instrument recognition |
title_full | Simulation-based training for burr hole surgery instrument recognition |
title_fullStr | Simulation-based training for burr hole surgery instrument recognition |
title_full_unstemmed | Simulation-based training for burr hole surgery instrument recognition |
title_short | Simulation-based training for burr hole surgery instrument recognition |
title_sort | simulation-based training for burr hole surgery instrument recognition |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4882815/ https://www.ncbi.nlm.nih.gov/pubmed/27233494 http://dx.doi.org/10.1186/s12909-016-0669-2 |
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