Avaliação de usabilidade de manequim de simulação de alta fidelidade utilizado para execução de guia de intubação orotraqueal no ensino de estudantes de medicina

Abstract

Introduction: Patient safety is one of the major challenges faced by healthcare organizations worldwide. Simulation has been introduced in the curriculum to minimize the incidence of adverse events caused by medical errors and provide training and skills enhancement to healthcare professionals, thereby increasing patient safety. However, there is still a lack of studies on the usability of simulation mannequins. Therefore, the objective of this study was to assess the usability of a high-fidelity mannequin used in the training of medical students during the execution of the Guideline 28 - Orotracheal Intubation. Materials and Methods: The study involved 21 medical students from IMEPAC Araguari/MG and three experienced professors who were familiar with the execution of the orotracheal intubation guideline. The usability assessment consisted of administering the System Usability Scale (SUS) questionnaire and using an adapted orotracheal intubation guideline with a 5-point Likert scale to evaluate the mannequin-student interaction. Data collection was conducted in a controlled environment (IMEPAC Realistic Simulation Center in Araguari/MG), where students performed orotracheal intubation on the mannequin and subsequently completed the SUS questionnaire. The evaluators observed the mannequin-student interaction and filled out the intubation guideline as requested. Results and Discussion: The results of the usability evaluation described in this study showed that students rated the usability of the mannequin during the execution of Guideline 28 - Orotracheal Intubation as "Good". During the evaluation of the data collection instrument, points were identified that could be modified in the orotracheal intubation guideline to maximize student learning and assist in the evaluation by professors. In addition to modifications in the guideline, usability issues were also identified in the data collection environment, which need to be further evaluated to provide a clinical environment that closely resembles reality.