The Effect of Augmented Reality Based Training on Preeclampsia Case
NCT ID: NCT06730048
Last Updated: 2024-12-12
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
84 participants
INTERVENTIONAL
2024-12-20
2025-08-20
Brief Summary
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Detailed Description
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Considering the risks of preeclampsia complications, taking precautions before the onset of complications and treating complications with appropriate methods are extremely important in reducing the mortality rates of both pregnant and fetus. In order to maintain safe patient care and the health of individuals, nurses should know what kind of nursing care should be applied in the antenatal period to diagnose, evaluate and prevent complications of preeclampsia. In the literature, it is recommended that nursing care for preeclampsia patients should include the diagnoses of infection risk, disruption in sleep pattern, acute pain, constipation, impaired physical movement, lack of self-care, and fatigue. Nursing care should include individualized, holistic, systematic, high quality, feasible, applicable, sustainable care methods including technological methods, models and theories for all pregnant women with more than 2 of the risks of preeclampsia by ACOG.
Technological methods, which have been frequently used in the health system in recent years, are used because they are cheap, usable, accelerate the decision-making process, and reduce workload. Virtual reality (VR) applications are technological applications that create a reality environment with the help of scenarios and facilitate learning complex cases and diseases by increasing students' knowledge and skills. In addition, this method allows students to develop critical thinking skills, participate in clinical decision-making processes and receive feedback. In the literature, VR application has been used in triage patients and nursing care of pediatric patients. However, no study has been found in the care of preeclampsia, which is highly effective on maternal and fetal health. Therefore, this study was planned to determine the effect of augmented reality-based training on the diagnosis and intervention planning skills of nursing students.
Conditions
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Keywords
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
DOUBLE
Study Groups
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experimental group
An appointment will be made to meet with the students in the experimental group in a suitable classroom of the school. After the pre-test data, the students in the experimental group will be shown the preeclampsia case with virtual glasses for about 5-10 minutes. Then the post-test will be applied. A scenario including preeclampsia case and nursing care practices will be created in the virtual reality environment, and 10 experts will be consulted about the scenario before the students are shown it. This application will not have any side effects.
Experimental Group
An appointment will be made to meet with the students in the experimental group in a suitable classroom of the school. After the pre-test data, the students in the experimental group will be shown the preeclampsia case with virtual glasses for about 5-10 minutes. Then the post-test will be applied. A scenario including preeclampsia case and nursing care practices will be created in the virtual reality environment, and 10 experts will be consulted about the scenario before the students are shown it. This application will not have any side effects.
control group
After the pre-test data, the preeclampsia case will be explained to the students in the control group with the classical lecture method in the Women's Health and Diseases Nursing course and the post-test will be applied.
Control group (placebo)
After the pre-test data, the preeclampsia case will be explained to the students in the control group with the classical lecture method in the Women's Health and Diseases Nursing course and the post-test will be applied.
Interventions
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Experimental Group
An appointment will be made to meet with the students in the experimental group in a suitable classroom of the school. After the pre-test data, the students in the experimental group will be shown the preeclampsia case with virtual glasses for about 5-10 minutes. Then the post-test will be applied. A scenario including preeclampsia case and nursing care practices will be created in the virtual reality environment, and 10 experts will be consulted about the scenario before the students are shown it. This application will not have any side effects.
Control group (placebo)
After the pre-test data, the preeclampsia case will be explained to the students in the control group with the classical lecture method in the Women's Health and Diseases Nursing course and the post-test will be applied.
Eligibility Criteria
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Inclusion Criteria
* Volunteering to participate in the research,
* No physical or psychological health problems preventing the completion of the research forms.
Exclusion Criteria
* Failure to attend class during the week of the preeclampsia lecture in the course syllabus.
18 Years
45 Years
FEMALE
Yes
Sponsors
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Inonu University
OTHER
Responsible Party
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Simge Ozturk
Ph.D Student
Locations
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Inonu University
Malatya, , Turkey (Türkiye)
Countries
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Central Contacts
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Facility Contacts
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simge öztürk, Ph.D
Role: primary
Other Identifiers
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Inonu3
Identifier Type: -
Identifier Source: org_study_id