Impact of ChatGPT-based Nursing Process Training

NCT06297382 | Completed

• 1 other identifier: SBU-HEM-PSI-01
• Study Type: interventional
• Target: 60
• Locations: 1 country
• Sites: 1

Brief Summary

The goal of this randomized controlled study is to determine the impact of ChatGPT based nursing process training on nursing students' clinical decision-making competencies and artificial intelligence anxiety. 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.

Conditions

Nurse-Patient Relations

Keywords

Artificial Intelligence; Students, Nursing

Outcome Measures

Primary Outcomes (3)

• Descriptive Information Form

  It was prepared by the researchers and consists of 6 questions regarding demographic characteristics and the use of artificial intelligence.

  6 weeks

• Clinical Decision Making Scale in Nursing

  The scale, which was developed to measure the clinical decision-making perceptions of nursing students based on their self-expression, was adapted into Turkish. The scale, which consists of four sub-dimensions, has 40 items. Sub-dimensions; It is stated as searching for options, declaring goals and values, evaluating and re-evaluating the results, searching for information and impartial assimilation of new information. Each subscale consists of 10 items. In the scale, 18 negative items are scored reversely. The five-point Likert type scale is scored as "Always-5, Frequently-4, Sometimes-3, Rarely-2 and Never-1" and the lowest and highest values are 40-200 for the total score of the scale and 40-200 for each sub-dimension. It varies between 10-50. High scores from the scale indicate that the perception of decision-making is high, while low scores indicate that the perception of decision-making is low.

  6 weeks

• Artificial Intelligence Anxiety Scale:

  Artificial Intelligence Anxiety Scale developed by Wang and Wang (2019) was adapted into Turkish by Akkaya et al (2021). The Turkish form of YZKS consists of 16 items and 4 dimensions and is a 5-point Likert type scale. The sub-dimensions are learning, job switching, sociotechnical blindness and artificial intelligence configuration.

  6 weeks

Study Arms (2)

Experimental

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.

Behavioral: ChatGPT Based Nursing Process Training

Control

NO INTERVENTION

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.

Interventions

ChatGPT Based Nursing Process Training BEHAVIORAL

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.

Experimental

Eligibility Criteria

• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

• Being a senior student at the faculty of nursing in the 2023-2024 academic year
• Agreeing to participate in the research

You may not qualify if:

• Having previously received ChatGPT training
• Withdrawing from the research voluntarily
• Incompletely filled forms

Sponsors & Collaborators

• Saglik Bilimleri Universitesi: lead

Study Sites (1)

Miray AKSU

Ankara, Çankaya, Turkey (Türkiye)

Location

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: PARTICIPANT
• Masking Details: Experimental and control groups will be determined using https:// www.randomizer.org.
• Purpose: SUPPORTIVE CARE
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assist. Prof.

Model Details: This research will be conducted as an experimental study with pretest-posttest randomised control group design.

Study Record Dates

• First Submitted: February 29, 2024
• First Posted: March 7, 2024
• Study Start: March 6, 2024
• Primary Completion: April 24, 2024
• Study Completion: August 14, 2024
• Last Updated: August 16, 2024

Record last verified: 2024-08

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)