Despite the changing landscape of surgical education with work hour restrictions and decreased independence of trainees in clinical activities [1], most training programs uphold a traditional, dogmatic approach in training surgical residents that is based on a hierarchical, apprenticeship model. This model often presents a time-intensive learning curve that leaves trainees, who are often first responders, with limited knowledge, skills, and confidence to competently deal with clinical and surgical scenarios of varying complexity [2].Given that surgical simulation training (SST) engages the two most important tenets of adult learning by permitting moderated practical experience in the setting of guided reflection, it holds great potential in the training of otolaryngologists [3]. Although surgical simulation activities can be resource intensive [4,5], the availability of an arena for deliberate practice in a risk-free, low stress environment is an effective way to acquire skills specific to the practice of a surgical subspecialty [6].Simulation models remain a keystone in the design of high-yield simulation activities by providing apparatus for the acquisition of surgical skills which can then be transferred to patient care [7]. Simulation models fulfill the role of physical vessels that afford trainees an opportunity to hone their psychomotor and decision-making skills without the loom of patient risk [2].With the exponential advancement of computing and manufacturing technologies, several simulation models and platforms have recently been developed and deployed in the training of surgical residents. On a broad scale, these simulation models can be categorized into synthetic bench models, computer-based models (virtual reality or web-based), animal models (tissue or live), and human cadaveric models [8], while a combination of any of these constitutes a hybrid model.In this study, we aim to provide a systematically reviewed list of otolaryngology simulators that are documented in Otolaryngology literature and discuss recent updates in simulation training in the field of otolaryngology.
METHODS
Study SelectionWith the assistance of an information specialist, an a priori research protocol was designed based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology [9]. Subsequently, a sensitive systematic review was performed to obtain as many articles from five databases namely Ovid/Medline, PubMed, Embase, Web of Science, and Cochrane. The databases were searched from their inception through July 18 th , 2018. Two investigators (M.A. and M.L.) conducted the search and reviewed selected articles. Subject headings for the search included otolaryngology, otology, airway, laryngeal, rhinology, reconstructive, facial plastics, and head and neck oncology cross-referenced with the terms simulation, simulation training, and simulation models. Bibliographies were manually searched to identify studies that met inclusion criteria. Inter-investigator discordances in the review process wer...