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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COMPLETED
NA
60 participants
INTERVENTIONAL
2024-03-06
2024-08-14
Brief Summary
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Population and Sample: The population of the research consists of senior students studying at Gülhane Faculty of Nursing, University of Health Sciences. Power analysis was performed to determine the number of people to be included in the study. The power of the test was calculated with the G\*Power 3.1 program. In a similar study in the relevant literature, the effect size regarding the change in clinical decision-making level was calculated as 0.898. In order to exceed the 99% value in determining the power of the study; At the 5% significance level and 0.898 effect size, 44 people, 22 people in the groups, need to be reached (df=21; t=1.721). In the research, it was aimed to reach a total of 60 people, 30 people in the groups, considering the high power of the test and the losses.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
SUPPORTIVE_CARE
SINGLE
Study Groups
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Experimental
In the 2023-2024 academic year, those in the experimental group will be determined by randomization among the students who are senior students at the faculty of nursing, who have not received ChatGPT training before and who agree to participate in the research. Students in the experimental group will have data collection forms filled out. Then, 4 hours of ChatGPT based nursing process training will be given. Measurements will be taken again after the training and 6 weeks after the training.
ChatGPT Based Nursing Process Training
ChatGPT Based Nursing Process Training topics:
Lesson 1: Use of artificial intelligence and ChatGPT in healthcare Lesson 2: Using ChatGPT in determining nursing diagnoses and goals Lesson 3: Using ChatGPT to determine nursing interventions Lesson 4: Things to consider and ethical principles when using ChatGPT when creating a nursing process.
Control
In the 2023-2024 academic year, students who are senior students at the faculty of nursing, who have not received ChatGPT training before and who agree to participate in the research, will be determined by randomization and those in the control group will be determined. Students in the control group will fill out data collection forms. Students in the control group will not be given any training. Data collection forms will be applied again 6 weeks after the training.
No interventions assigned to this group
Interventions
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ChatGPT Based Nursing Process Training
ChatGPT Based Nursing Process Training topics:
Lesson 1: Use of artificial intelligence and ChatGPT in healthcare Lesson 2: Using ChatGPT in determining nursing diagnoses and goals Lesson 3: Using ChatGPT to determine nursing interventions Lesson 4: Things to consider and ethical principles when using ChatGPT when creating a nursing process.
Eligibility Criteria
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Inclusion Criteria
2. Agreeing to participate in the research
Exclusion Criteria
2. Withdrawing from the research voluntarily
3. Incompletely filled forms
ALL
Yes
Sponsors
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Saglik Bilimleri Universitesi
OTHER
Responsible Party
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Belgin Varol
Assist. Prof.
Locations
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Miray AKSU
Ankara, Çankaya, Turkey (Türkiye)
Countries
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Other Identifiers
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SBU-HEM-PSI-01
Identifier Type: -
Identifier Source: org_study_id
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