The exploration of remote simulation strategies for the acquisition of psychomotor skills in medicine: a pilot randomized controlled trial.

Decentralized simulation Peer learning Simulation in surgery Subcuticular sutures Surgical education

Journal

Discover education
ISSN: 2731-5525
Titre abrégé: Discov Educ
Pays: Switzerland
ID NLM: 9918419273306676

Informations de publication

Date de publication:
2023
Historique:
received: 21 01 2023
accepted: 24 05 2023
medline: 20 7 2023
pubmed: 20 7 2023
entrez: 20 7 2023
Statut: ppublish

Résumé

Progress in remote educational strategies was fueled by the advent of the COVID-19 pandemic. This pilot RCT explored the efficacy of a decentralized model of simulation based on principles of observational and peer-to-peer learning for the acquisition of surgical skills. Sixty medical students from the University of Montreal learned the running subcuticular suture in four different conditions: (1) Control group (2) Self-learning (3) Peer-learning (4) Peer-learning with expert feedback. The control group learned with error-free videos, while the others, through videos illustrating strategic sub-optimal performances to be identified and discussed by students. Performance on a simulator at the end of the learning period, was assessed by an expert using a global rating scale (GRS) and checklist (CL). Students engaging in peer-to-peer learning strategies outperformed students who learned alone. The presence of an expert, and passive vs active observational learning strategies did not impact performance. This study supports the efficacy of a remote learning strategy and demonstrates how collaborative discourse optimizes the students' acquisition of surgical skills. These remote simulation strategies create the potential for implantation in future medical curriculum design.

Sections du résumé

Background UNASSIGNED
Progress in remote educational strategies was fueled by the advent of the COVID-19 pandemic. This pilot RCT explored the efficacy of a decentralized model of simulation based on principles of observational and peer-to-peer learning for the acquisition of surgical skills.
Methods UNASSIGNED
Sixty medical students from the University of Montreal learned the running subcuticular suture in four different conditions: (1) Control group (2) Self-learning (3) Peer-learning (4) Peer-learning with expert feedback. The control group learned with error-free videos, while the others, through videos illustrating strategic sub-optimal performances to be identified and discussed by students. Performance on a simulator at the end of the learning period, was assessed by an expert using a global rating scale (GRS) and checklist (CL).
Results UNASSIGNED
Students engaging in peer-to-peer learning strategies outperformed students who learned alone. The presence of an expert, and passive vs active observational learning strategies did not impact performance.
Conclusion UNASSIGNED
This study supports the efficacy of a remote learning strategy and demonstrates how collaborative discourse optimizes the students' acquisition of surgical skills. These remote simulation strategies create the potential for implantation in future medical curriculum design.

Identifiants

pubmed: 37469757
doi: 10.1007/s44217-023-00041-2
pii: 41
pmc: PMC10352422
doi:

Banques de données

ClinicalTrials.gov
['NCT04425499']

Types de publication

Journal Article

Langues

eng

Pagination

19

Informations de copyright

© The Author(s) 2023.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare that they have no competing interests.

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Auteurs

Natasha Guérard-Poirier (N)

Faculty of Medicine, Université de Montréal, Montreal, QC H2X3E4 Canada.

Léamarie Meloche-Dumas (L)

Department of Surgery, Université de Montréal, Montreal, QC H2X3E4 Canada.

Michèle Beniey (M)

Department of Surgery, Université de Montréal, Montreal, QC H2X3E4 Canada.

Andrei Torres (A)

Faculty of Business and IT, OntarioTech University, Oshawa, ON L1G 0C5 Canada.

Bill Kapralos (B)

Faculty of Health Sciences, OntarioTech University, Oshawa, ON L1G 0C5 Canada.

Malek Dhane (M)

Faculty of Medicine, Université de Montréal, Montreal, QC H2X3E4 Canada.

Frédéric Mercier (F)

Department of Surgical Oncology, Centre Hospitalier de L'Université de Montréal, 1051 Rue Sanguinet, Montreal, QC H2X3E4 Canada.

Rami Younan (R)

Department of Surgical Oncology, Centre Hospitalier de L'Université de Montréal, 1051 Rue Sanguinet, Montreal, QC H2X3E4 Canada.

Adam Dubrowski (A)

Faculty of Health Sciences, OntarioTech University, Oshawa, ON L1G 0C5 Canada.

Erica Patocskai (E)

Department of Surgical Oncology, Centre Hospitalier de L'Université de Montréal, 1051 Rue Sanguinet, Montreal, QC H2X3E4 Canada.

Classifications MeSH