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360° video in a simulation environment in teaching childbirth care

Grant number: 20/08731-8
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Effective date (Start): December 01, 2020
Effective date (End): November 30, 2021
Field of knowledge:Health Sciences - Medicine - Maternal and Child Health
Principal Investigator:Roseli Mieko Yamamoto Nomura
Grantee:Ana Beatriz Ramos Antiqueira
Host Institution: Escola Paulista de Medicina (EPM). Universidade Federal de São Paulo (UNIFESP). Campus São Paulo. São Paulo , SP, Brazil


The growing interest in simulations in Medicine, particularly in Obstetrics, comes from contemporary changes in medical education, as well as from the need to ensure patient safety. Medical education and training, with simulation of childbirth care practices, can contribute to better assistance to parturient women. It is necessary to incorporate new technologies in educational methods, mainly for Emergency Remote Education in the context of the Covid-19 pandemic. Objectives: to develop and evaluate the applicability of a 360 ° video of assistance to the second and third periods of vaginal birth, for the Emergency Remote Teaching of undergraduate medicalstudents. Methods: This is applied research, the development of teaching material for the medicalcourse, addressing the assistance to the second and third periods of vaginal birth, using simulation resources and videos recorded in 360º. The established scenario is the Vaginal Birth Center and the procedures will be simulated with the Noelle S575 simulator mannequin and a video recording with 360º camera will be made to be available to students in the 5th year of medical graduation. Fifty students will be invited to participate in the study. The student will be sent a link to access the video and complete the form with standardized questions and answers on a 5-point Likert scale on the content provided. The answers will be analyzed descriptively as to the results of the video evaluation instrument, and, in addition, quantitative analysis will be performed by observing the minimum and maximum values, the calculation of medians, means and standard deviations of the score assigned to the Likert scale.

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