Simulation in the education of childbirth assistance: assessment of self-confidence of the graduate student in medicine

• Grant number: 18/15656-2
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: February 01, 2019
• End date: January 31, 2020
• Field of knowledge: Health Sciences - Medicine
• Principal Investigator: Roseli Mieko Yamamoto Nomura
• Grantee: Carolina Matos de Proença
• Host Institution: Escola Paulista de Medicina (EPM). Universidade Federal de São Paulo (UNIFESP). Campus São Paulo. São Paulo , SP, Brazil

Abstract

The growing interest in medical simulations, particularly in Obstetrics derives from contemporary changes in medical education, as well as from the need to ensure patient safety. Objectives: To develop simulation scenarios of childbirth care to improve the teaching of obstetrics and evaluate the acquisition of self-confidence of undergraduate students in medicine. Methods: This is a applied research for development of scenarios of childbirth care and management of complications, using simulation resources, to be performed at the Centro de Ensino de Habilidades e Simulação Helena Nader - CEHS - da UNIFESP. The graduation course aims to enable the student to acquire practical skills in assisting vaginal delivery, recognizing more frequent complications and their management. The course is structured in modules. Each module will be applied in simulation environments, in the CEHS, using low and high fidelity models. Scenarios will be developed with the main clinical and obstetric situations, involving the delivery assistance, with the help of actresses and the development of checklists to confer the tasks to be performed. Graduates of the fifth year of medicine will be participants in the survey and will respond to self-confidence questionnaires before and after the simulations. The instrument consists of 29 items categorized into five categories, each item answered according to a five-point Likert scale (I strongly disagree, partially disagree, indifferent, partially agree, and strongly agree). The sample size will be 100 participants. The variables will be analyzed descriptively and quantitatively, that is, the characterization of the participants and the results of the self-confidence questionnaires will be examined, and, in addition, a quantitative analysis will be done by observing the minimum and maximum values, the calculation of medians, averages and standard deviations.