Mind the Gap: a Competency-Based Scoping Review of Aesthetic and Reconstructive Reported Simulation Training Models.
Journal
Aesthetic plastic surgery
ISSN: 1432-5241
Titre abrégé: Aesthetic Plast Surg
Pays: United States
ID NLM: 7701756
Informations de publication
Date de publication:
Oct 2021
Oct 2021
Historique:
received:
29
11
2020
accepted:
29
11
2020
pubmed:
24
1
2021
medline:
12
10
2021
entrez:
23
1
2021
Statut:
ppublish
Résumé
Simulation training has become an integral part of plastic surgery postgraduate curricula. It facilitates the acquisition of skills in a safe environment that can be later transferred to real-life settings. A variety of models have been described covering some aspects of the specialty better than others. The aim of this study was to identify and classify all the previously reported plastic surgery simulation models and the possible gaps having the Accreditation Council for Graduate Medical Education (ACGME) list of competencies as a guide. Through a Delphi process, the complete list of ACGME minimum requirements for certification was analyzed to identify domains amenable for simulation training. A systematic search was conducted in Pubmed looking for all previously reported simulation models in plastic surgery. Predefined inclusion and exclusion criteria and parallel blind review were used to identify eligible models. A total of 81 ACGME competencies were identified. Following a 3-round Delphi process, consensus was reached on 19 reconstructive and 15 aesthetic surgery domains suitable for simulation training. 1667 articles were initially retrieved from Pubmed, of which 66 articles were eligible for inclusion. Descriptive (65%), quasi-experimental (24%) and experimental studies (11%) were found. For the 34 identified ACGME competencies, there were simulation models described for 58.8% of these, mostly covering reconstructive surgery (84.2%) while for aesthetic surgery it was 13.3%. This scoping review has identified that there are still gaps in ACGME competencies that could benefit from new simulation training models, especially in those related to aesthetic surgery. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
Sections du résumé
BACKGROUND
BACKGROUND
Simulation training has become an integral part of plastic surgery postgraduate curricula. It facilitates the acquisition of skills in a safe environment that can be later transferred to real-life settings. A variety of models have been described covering some aspects of the specialty better than others. The aim of this study was to identify and classify all the previously reported plastic surgery simulation models and the possible gaps having the Accreditation Council for Graduate Medical Education (ACGME) list of competencies as a guide.
METHODS
METHODS
Through a Delphi process, the complete list of ACGME minimum requirements for certification was analyzed to identify domains amenable for simulation training. A systematic search was conducted in Pubmed looking for all previously reported simulation models in plastic surgery. Predefined inclusion and exclusion criteria and parallel blind review were used to identify eligible models.
RESULTS
RESULTS
A total of 81 ACGME competencies were identified. Following a 3-round Delphi process, consensus was reached on 19 reconstructive and 15 aesthetic surgery domains suitable for simulation training. 1667 articles were initially retrieved from Pubmed, of which 66 articles were eligible for inclusion. Descriptive (65%), quasi-experimental (24%) and experimental studies (11%) were found. For the 34 identified ACGME competencies, there were simulation models described for 58.8% of these, mostly covering reconstructive surgery (84.2%) while for aesthetic surgery it was 13.3%.
CONCLUSIONS
CONCLUSIONS
This scoping review has identified that there are still gaps in ACGME competencies that could benefit from new simulation training models, especially in those related to aesthetic surgery.
LEVEL OF EVIDENCE III
METHODS
This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
Identifiants
pubmed: 33483780
doi: 10.1007/s00266-020-02089-z
pii: 10.1007/s00266-020-02089-z
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
2483-2490Informations de copyright
© 2021. Springer Science+Business Media, LLC, part of Springer Nature and International Society of Aesthetic Plastic Surgery.
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