The Effect of High Reality Simulation Method on Problem Solving Skills and Anxiety Levels of Midwifery Students

This study was planned to determine the effect of scenario-based high-fidelity simulation method on the application problem solving skills and anxiety levels of the 3rd year students of Health Sciences University Hamidiye Health Sciences Faculty Midwifery Department. The research, which is planned in a experimental design, will be carried out with Istanbul Health Sciences University Hamidiye Health Sciences Faculty 3rd year midwifery (N:80) students. Students participating in the study will be divided into intervention (n:40) and control (n:40) groups according to the computer-assisted simple random sampling technique. Intervention group students will be given an application about postpartum care on a standard adult patient model in the high-validity simulation laboratory accompanied by a scenario, and control group students will be made in the vocational skills laboratory. "Descriptive Information Form", "State Anxiety Inventory", "Problem Solving Inventory" and "Satisfaction Questionnaire with Educational Methods" will be applied to the students participating in the research.

This study was planned to determine the effect of scenario-based high-fidelity simulation method on the application problem solving skills and anxiety levels of the 3rd year students of Health Sciences University Hamidiye Health Sciences Faculty Midwifery Department.

The universe of the research consisted of 3rd grade students who took the "Risky Birth and Postpartum Period" course in the Midwifery Department of the Faculty of Health Sciences of Hamidiye in the spring semester of the 2021-2022 academic year (N:80). Students who volunteered to participate in the study were included in the study. Computer-assisted randomization will be used in the study, and random assignment was made to the intervention (n:40) and control (n:40) groups by entering the number of cases through the program with the URL address https://www.randomizer.org. Before the application, the "Informed Voluntary Consent Form" was shared with the students and their consent was obtained.

All groups were informed before the applications. In this context, a question-and-answer session was held by giving information about the applications to be made regarding the research. The students were given information about the introduction of the simulator and the model, the flow chart of the training plan, the content of the training plan, the environment, the locations of the materials. Before the application, all groups were given theoretical information about postpartum care for 2 hours with a power point presentation. After the information, the "Descriptive Information Form" was applied to the students, and the "State Anxiety Inventory" and "Problem Solving Inventory" were applied as a pre-test. Postpartum care applications were carried out for the students in the intervention group on a high-reality Gaumard Scientific brand, product code: S550.100 Noella simulator in the simulation laboratory of the Midwifery department, and on the standard adult patient model in the basic skills laboratory for the control group students. After the training, "State Anxiety Inventory", "Problem Solving Inventory" and "Satisfaction Questionnaire with Educational Methods" were applied to all students as a post-test.

Eligibility Criteria:
Inclusion Criteria:

* Volunteering to participate in the research.
* Being a third year student at SBU, Hamidiye Faculty of Health Sciences, Midwifery Department.
* To have successfully completed the theory and practice of basic principles and practices in midwifery.
* To have taken the risky birth and postpartum period lesson.

Exclusion Criteria:

* Not volunteering to participate in the research.
* Not to be a third year student at the Faculty of Health Sciences, Hamidiye, Department of Midwifery.
* Not having successfully completed the theory and practice of basic principles and practices in midwifery.
* Not having taken the risky birth and postpartum lesson.