Cargando…
A Systematic Review of Simulation-Based Training in Vascular Surgery
INTRODUCTION: Recent advancements in surgical technology, reduced working hours, and training opportunities exacerbated by the COVID-19 pandemic have led to an increase in simulation-based training. Furthermore, a rise in endovascular procedures has led to a requirement for high-fidelity simulators...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483723/ https://www.ncbi.nlm.nih.gov/pubmed/35839575 http://dx.doi.org/10.1016/j.jss.2022.05.009 |
_version_ | 1784791728476127232 |
---|---|
author | Haiser, Alexander Aydin, Abdullatif Kunduzi, Basir Ahmed, Kamran Dasgupta, Prokar |
author_facet | Haiser, Alexander Aydin, Abdullatif Kunduzi, Basir Ahmed, Kamran Dasgupta, Prokar |
author_sort | Haiser, Alexander |
collection | PubMed |
description | INTRODUCTION: Recent advancements in surgical technology, reduced working hours, and training opportunities exacerbated by the COVID-19 pandemic have led to an increase in simulation-based training. Furthermore, a rise in endovascular procedures has led to a requirement for high-fidelity simulators that offer comprehensive feedback. This review aims to identify vascular surgery simulation models and assess their validity and levels of effectiveness (LoE) for each model in order to successfully implement them into current training curricula. METHODS: PubMed and EMBASE were searched on January 1, 2021, for full-text English studies on vascular surgery simulators. Eligible articles were given validity ratings based on Messick’s modern concept of validity alongside an LoE score according to McGaghie’s translational outcomes. RESULTS: Overall 76 eligible articles validated 34 vascular surgery simulators and training courses for open and endovascular procedures. High validity ratings were achieved across studies for: content (35), response processes (12), the internal structure (5), relations to other variables (57), and consequences (2). Only seven studies achieved an LoE greater than 3/5. Overall, ANGIO Mentor was the most highly validated and effective simulator and was the only simulator to achieve an LoE of 5/5. CONCLUSIONS: Simulation-based training in vascular surgery is a continuously developing field with exciting future prospects, demonstrated by the vast number of models and training courses. To effectively integrate simulation models into current vascular surgery curricula and assessments, there is a need for studies to look at trainee skill retention over a longer period of time. A more detailed discussion on cost-effectiveness is also needed. |
format | Online Article Text |
id | pubmed-9483723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94837232022-09-19 A Systematic Review of Simulation-Based Training in Vascular Surgery Haiser, Alexander Aydin, Abdullatif Kunduzi, Basir Ahmed, Kamran Dasgupta, Prokar J Surg Res Research Review INTRODUCTION: Recent advancements in surgical technology, reduced working hours, and training opportunities exacerbated by the COVID-19 pandemic have led to an increase in simulation-based training. Furthermore, a rise in endovascular procedures has led to a requirement for high-fidelity simulators that offer comprehensive feedback. This review aims to identify vascular surgery simulation models and assess their validity and levels of effectiveness (LoE) for each model in order to successfully implement them into current training curricula. METHODS: PubMed and EMBASE were searched on January 1, 2021, for full-text English studies on vascular surgery simulators. Eligible articles were given validity ratings based on Messick’s modern concept of validity alongside an LoE score according to McGaghie’s translational outcomes. RESULTS: Overall 76 eligible articles validated 34 vascular surgery simulators and training courses for open and endovascular procedures. High validity ratings were achieved across studies for: content (35), response processes (12), the internal structure (5), relations to other variables (57), and consequences (2). Only seven studies achieved an LoE greater than 3/5. Overall, ANGIO Mentor was the most highly validated and effective simulator and was the only simulator to achieve an LoE of 5/5. CONCLUSIONS: Simulation-based training in vascular surgery is a continuously developing field with exciting future prospects, demonstrated by the vast number of models and training courses. To effectively integrate simulation models into current vascular surgery curricula and assessments, there is a need for studies to look at trainee skill retention over a longer period of time. A more detailed discussion on cost-effectiveness is also needed. The Authors. Published by Elsevier Inc. 2022-11 2022-07-12 /pmc/articles/PMC9483723/ /pubmed/35839575 http://dx.doi.org/10.1016/j.jss.2022.05.009 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Research Review Haiser, Alexander Aydin, Abdullatif Kunduzi, Basir Ahmed, Kamran Dasgupta, Prokar A Systematic Review of Simulation-Based Training in Vascular Surgery |
title | A Systematic Review of Simulation-Based Training in Vascular Surgery |
title_full | A Systematic Review of Simulation-Based Training in Vascular Surgery |
title_fullStr | A Systematic Review of Simulation-Based Training in Vascular Surgery |
title_full_unstemmed | A Systematic Review of Simulation-Based Training in Vascular Surgery |
title_short | A Systematic Review of Simulation-Based Training in Vascular Surgery |
title_sort | systematic review of simulation-based training in vascular surgery |
topic | Research Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483723/ https://www.ncbi.nlm.nih.gov/pubmed/35839575 http://dx.doi.org/10.1016/j.jss.2022.05.009 |
work_keys_str_mv | AT haiseralexander asystematicreviewofsimulationbasedtraininginvascularsurgery AT aydinabdullatif asystematicreviewofsimulationbasedtraininginvascularsurgery AT kunduzibasir asystematicreviewofsimulationbasedtraininginvascularsurgery AT ahmedkamran asystematicreviewofsimulationbasedtraininginvascularsurgery AT dasguptaprokar asystematicreviewofsimulationbasedtraininginvascularsurgery AT haiseralexander systematicreviewofsimulationbasedtraininginvascularsurgery AT aydinabdullatif systematicreviewofsimulationbasedtraininginvascularsurgery AT kunduzibasir systematicreviewofsimulationbasedtraininginvascularsurgery AT ahmedkamran systematicreviewofsimulationbasedtraininginvascularsurgery AT dasguptaprokar systematicreviewofsimulationbasedtraininginvascularsurgery |