Development and Learner-Based Assessment of a Novel, Customized, 3D Printed Small Bowel Simulator for Hand-Sewn Anastomosis Training.

equipment design and procedural simulation realistic simulation simulation trainer simulator development skills and simulation training

Journal

Cureus
ISSN: 2168-8184
Titre abrégé: Cureus
Pays: United States
ID NLM: 101596737

Informations de publication

Date de publication:
Dec 2021
Historique:
received: 27 11 2021
accepted: 20 12 2021
entrez: 24 1 2022
pubmed: 25 1 2022
medline: 25 1 2022
Statut: epublish

Résumé

Hand-sewn bowel anastomosis (HSBA) is an essential skill for surgical residents to learn, as it is used in numerous surgical procedures. However, the opportunities to practice this skill before attempting it on patients are limited. Practice on simulators can help improve this technique, but there is a paucity of realistic, cost-efficient simulators for the acquisition of HSBA skills. This technical report describes the development of our simulator that consists of a small bowel manufactured from silicone and a 3D-printed clamp system to hold the bowel in place. Our simulator was co-designed by a clinical team of surgeons and then assessed for perceived acceptability and effectiveness by 16 junior residents in various surgical specialties at our faculty. A majority of the learners rated our simulator to be a good or very good learning tool for HSBA, although they suggested some minor improvements. Overall, our silicone small bowel model appears to be an effective and inexpensive way to acquire this surgical skill.

Identifiants

pubmed: 35070566
doi: 10.7759/cureus.20536
pmc: PMC8765572
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e20536

Informations de copyright

Copyright © 2021, Habti et al.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Merieme Habti (M)

General Surgery, Université de Montréal, Montreal, CAN.

Florence Bénard (F)

General Surgery, Université de Montréal, Montreal, CAN.

Artur Arutiunian (A)

Health Sciences, maxSIMhealth Lab, Ontario Tech University, Oshawa, CAN.

Simon Bérubé (S)

General Surgery, Université de Montréal, Montreal, CAN.

Dominic Cadoret (D)

General Surgery, Université de Montréal, Montreal, CAN.

Léamarie Meloche-Dumas (L)

General Surgery, Université de Montréal, Montreal, CAN.

Andrei Torres (A)

Computer Science, maxSIMhealth Lab, Ontario Tech University, Oshawa, CAN.

Bill Kapralos (B)

Computer Science, maxSIMhealth Lab, Ontario Tech University, Oshawa, CAN.

Frédéric Mercier (F)

Surgical Oncology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, CAN.

Adam Dubrowski (A)

Health Sciences, maxSIMhealth Lab, Ontario Tech University, Oshawa, CAN.

Erica Patocskai (E)

Surgical Oncology, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, CAN.

Classifications MeSH