The Effects of Sımulatıon Used in Vagınal Chıldbırth on Malpractıce Tendency And Perceptıons of Care Behavıors

Overview

H1a: The simulation-based training used to provide delivery skills have an effect on malpractice trends of midwifery students. H1b: The simulation-based training used to provide delivery skills have an effect on midwifery students' perceptions of care behaviors. H0a: The simulation-based training used to provide delivery skills have not an effect on malpractice trends of midwifery students. H0b: The simulation-based training used to provide delivery skills have not an effect on midwifery students' perceptions of care behaviors.

The study was conducted as a single blind, prospective, and simple randomized controlled trial. The study was conducted in the fall semester of 2016 and in the fall semester of 2017 in the midwifery department of a university. The study universe comprised 79 students who took the course about vaginal delivery (which is included in the midwifery curriculum) provided using simulation-based training and 90 students taking this course for the first time. The study included 120 participants, including 60 randomly selected students who agreed to participate in the study, were enrolled in midwifery, and took the course explaining vaginal delivery for the first time and 60 randomly selected students who received this education using simulation-based training. The simulation training included the activities that midwives should do during the birth and management of vaginal delivery. Bone pelvis, fetal head, fetus, cervical dilatation-effacement, fetal descensus, maternal-neonatal birthing simulators and chicken breast model for episiotomy were used by the researchers to monitor, manage, and provide care for the progress of labor. The students in the control group received theoretical training about management and care of vaginal delivery. In addition, the researchers demonstrated them how to monitor and manage the delivery process and provide care. Data collection tools included a personal information form, medical malpractice tendency scale in nursing, and caring assessment questionnaire. Statistical analyses were made using Statistical Package for Social Sciences (IBM SPSS) Statistics 22 software. The findings were analyzed using descriptive statistics (average, standard deviation, frequency, and percentage). The Kolmogorov-Smirnov test was used to determine normal distribution of the data.