Section of Plastic and Reconstructive Surgery, Surgery Division, School of Medicine, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, 8330077, Santiago, Chile.
Plastic Surgery Department, Royal Victoria Infirmary, Newcastle upon Tyne, UK.
Aesthetic Plast Surg. 2021 Oct;45(5):2483-2490. doi: 10.1007/s00266-020-02089-z. Epub 2021 Jan 22.
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 .
模拟培训已成为整形外科研究生课程不可或缺的一部分。它在安全的环境中促进技能的获取，这些技能可以转移到现实生活环境中。已经描述了各种模型，这些模型在某些方面比其他方面更好地涵盖了专业的某些方面。本研究的目的是确定并分类所有以前报道的整形手术模拟模型，并根据研究生医学教育认证委员会（ACGME）的能力清单作为指南确定可能存在的差距。
通过德尔菲法，对 ACGME 认证的最低要求完整清单进行分析，以确定适合模拟培训的领域。在 Pubmed 中进行了系统搜索，以查找所有以前报道的整形手术模拟模型。使用预定义的纳入和排除标准以及平行盲法审查来确定合格的模型。
确定了 81 项 ACGME 能力。经过三轮 Delphi 流程，就 19 项重建和 15 项美容手术领域达成共识，这些领域适合模拟培训。最初从 Pubmed 中检索到 1667 篇文章，其中 66 篇文章符合纳入标准。描述性（65％），准实验性（24％）和实验性研究（11％）。在确定的 34 项 ACGME 能力中，有 58.8％的能力有模拟模型描述，主要涵盖重建手术（84.2％），而美容手术则为 13.3％。
这项范围界定综述发现，ACGME 能力仍存在差距，可以从新的模拟培训模型中受益，尤其是在与美容手术相关的领域。
证据水平 III：本期刊要求作者为每篇文章指定证据水平。有关这些循证医学评级的完整描述，请参考目录或在线作者指南 www.springer.com/00266 。
