The impact of a high fidelity simulation-based debriefing course on the Debriefing Assessment for Simulation in Healthcare (DASH)© score of novice instructors.

Faculty Feedback Learning

Journal

Journal of advances in medical education & professionalism
ISSN: 2322-2220
Titre abrégé: J Adv Med Educ Prof
Pays: Iran
ID NLM: 101617859

Informations de publication

Date de publication:
Oct 2019
Historique:
entrez: 22 11 2019
pubmed: 22 11 2019
medline: 22 11 2019
Statut: ppublish

Résumé

Experiential learning, followed by debriefing, is at the heart of Simulation-Based Medical Education (SBME) and has been proven effective to help master several medical skills. We investigated the impact of an educational intervention, based on high-fidelity SBME, on the debriefing competence of novice simulation instructors. This is a prospective, randomized, quasi-experimental, pre- and post-test study. Sixty physicians without prior formal debriefing expertise attended a 5-day SBME seminar targeted on debriefing. Prior to the start of the seminar, 15 randomly chosen participants had to debrief a spaghetti and tape team exercise. Thereafter, the members of each team assessed their debriefer's performance using the Debriefing Assessment for Simulation in Healthcare (DASH)© score. The debriefing seminar that followed (intervention) consisted of 5 days of teaching that included theoretical and simulation training. Each scenario was followed by a Debriefing of the Debriefing (DOD) session conducted by the expert instructor. At the end of the course, 15 randomly chosen debriefers had to debrief a second tower building exercise and were re-evaluated with the DASH score by their respective team members. The Wilcoxon signed-rank test was used to compare pre- and post-test scores. Statistical tests were performed using GraphPad Prism 6.0c for Mac. A significant improvement in all items of the DASH score was noted following the seminar. The debriefers significantly improved their performance with regard to "maintaining an engaging learning environment" (Median [IQR]) (4[3-5] after the pre-test vs. 5.5[5-6] after the post-test, p<0.001); "structuring the debriefing in an organized way" (5[4-5] after the pre-test vs. 5[5-6] after the post-test, p=0.002); "provoking engaging discussion" (4[3-5.75] after the pre-test vs. 6[5-6] after the post-test, p<0.001); "identifying and exploring performance gaps" (5[4-6] after the pre-test vs. 6[5-6] after the post-test, p=0.014); and "helping trainees to achieve and sustain good future performance" (4[3-5] after the pre-test vs. 6[5-6] after the post-test, p<0.001). A simulation-based debriefing course, based mainly on DOD sessions, allowed novice simulation instructors to improve their overall debriefing skills including, more specifically, the ability to foster engagement in discussions and maintain an engaging learning environment.

Identifiants

pubmed: 31750353
doi: 10.30476/jamp.2019.74583.0
pii: JAMP-7-4
pmc: PMC6820009
doi:

Types de publication

Journal Article

Langues

eng

Pagination

159-164

Informations de copyright

Copyright: © Shiraz University of Medical Sciences.

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Auteurs

Issam Tanoubi (I)

Department of Anesthesiology, Université de Montréal, Centre d'Apprentissage des Attitudes et Habiletés Cliniques (CAAHC), Montréal, Canada.

Iheb Labben (I)

Simulation Centre, Faculty of Medicine, Tunis, Tunisia.

Salma Guédira (S)

Simulation Centre, Faculty of Medicine, Tunis, Tunisia.

Pierre Drolet (P)

Department of Anesthesiology, Université de Montréal, Centre d'Apprentissage des Attitudes et Habiletés Cliniques (CAAHC), Montréal, Canada.

Roger Perron (R)

Department of Anesthesiology, Université de Montréal, Centre d'Apprentissage des Attitudes et Habiletés Cliniques (CAAHC), Montréal, Canada.

Arnaud Robitaille (A)

Department of Anesthesiology, Université de Montréal, Centre d'Apprentissage des Attitudes et Habiletés Cliniques (CAAHC), Montréal, Canada.

Mihai Géorgescu (M)

Department of Anesthesiology, Université de Montréal, Centre d'Apprentissage des Attitudes et Habiletés Cliniques (CAAHC), Montréal, Canada.

Classifications MeSH