Nurse-Patient RelationsNCT06297382
Impact of ChatGPT-based Nursing Process Training
A study testing ChatGPT Based Nursing Process Training in people with Nurse-Patient Relations, run by Saglik Bilimleri Universitesi at 1 site in Turkey (Türkiye).
Trial 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. Read more about this study
- Who is it for?
- Any ageHealthy volunteers can take part
- Conditions the study is for
- Nurse-Patient Relations
- What is being tested?
- ChatGPT Based Nursing Process Training
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 60 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 6 Mar 2024to 14 Aug 2024
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Who may be able to join
- Being a senior student at the faculty of nursing in the 2023-2024 academic year
- Agreeing to participate in the research
Who cannot join
- Having previously received ChatGPT training
- Withdrawing from the research voluntarily
- Incompletely filled forms
Trial locations and contacts
1 site in 1 country.
About this study
Official title: The Impact of Nursing Students' Clinical Decision-making Competencies and Artificial Intelligence Anxiety on ChatGPT-based Nursing Process Training.
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.
Read the detailed description
Nurses, who are important members of the healthcare team, often encounter situations in the clinic that require them to make decisions. Nurses need to make a complex evaluation by using critical thinking and problem-solving skills in clinical decision-making.During nursing education, it is aimed at helping students acquire the skills to make this complex evaluation. To gain these skills, real-life experiences during clinical practices, case discussions, simulations, and skill laboratories can be used. It is thought that artificial intelligence applications, which have been increasingly used in recent years, can contribute to the development of clinical decision-making skills in nursing education. In this regard, this study aimed to investigate the effect of ChatGPT use training in the nursing process on nursing students' clinical decision-making competencies and artificial intelligence anxiety.
- Conditions
- Nurse-Patient Relations
- Being tested
- ChatGPT Based Nursing Process Training
- Keywords
- Artificial Intelligence, Students, Nursing
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
ChatGPT Based Nursing Process TrainingBehavioural
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.
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: 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. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Descriptive Information Form
It was prepared by the researchers and consists of 6 questions regarding demographic characteristics and the use of artificial intelligence.
Measured: 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.
Measured: 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.
Measured: 6 weeks
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted7 Mar 2024
- Study start6 Mar 2024
- Primary completion24 Apr 2024
- Study completion14 Aug 2024
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Nurse-Patient RelationsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- This research will be conducted as an experimental study with pretest-posttest randomised control group design.
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 60 participants (actual)
Sponsor and investigators
- Lead sponsor
- Saglik Bilimleri Universitesi
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Belgin Varol, Saglik Bilimleri Universitesi
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06297382
- Sponsor's protocol ID
- SBU-HEM-PSI-01
- Status last verified
- Aug 2024
- First submitted
- 29 Feb 2024
- Last updated
- 16 Aug 2024
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 16 Aug 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Impact of Nursing Students' Clinical Decision-making Competencies and Artificial Intelligence Anxiety on ChatGPT-based Nursing Process Training.
- ClinicalTrials.gov ID
- NCT06297382
- Acronym / sponsor ID
- SBU-HEM-PSI-01
- Conditions
- Nurse-Patient Relations
- Keywords
- Artificial Intelligence, Students, Nursing
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 60 participants (actual)
- Lead sponsor
- Saglik Bilimleri UniversitesiUniversity, hospital or other
- Study start
- 6 Mar 2024 (actual)
- Primary completion
- 24 Apr 2024 (actual)
- Study completion
- 14 Aug 2024 (actual)
- First posted
- 7 Mar 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
Nurses, who are important members of the healthcare team, often encounter situations in the clinic that require them to make decisions. Nurses need to make a complex evaluation by using critical thinking and problem-solving skills in clinical decision-making.During nursing education, it is aimed at helping students acquire the skills to make this complex evaluation. To gain these skills, real-life experiences during clinical practices, case discussions, simulations, and skill laboratories can be used. It is thought that artificial intelligence applications, which have been increasingly used in recent years, can contribute to the development of clinical decision-making skills in nursing education. In this regard, this study aimed to investigate the effect of ChatGPT use training in the nursing process on nursing students' clinical decision-making competencies and artificial intelligence anxiety.
Study design
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (participant)
- Number of arms
- 2
- Model description
- This research will be conducted as an experimental study with pretest-posttest randomised control group design.
| Arm | Type | Receives |
|---|---|---|
| Experimental | Experimental | Behavioral: ChatGPT Based Nursing Process TrainingIn 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. |
| 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. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (2 listed)
- Being a senior student at the faculty of nursing in the 2023-2024 academic year
- Agreeing to participate in the research
Key exclusion criteria (3 listed)
- Having previously received ChatGPT training
- Withdrawing from the research voluntarily
- Incompletely filled forms
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| ChatGPT Based Nursing Process TrainingChatGPT 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. | Behavioural | Experimental |
Primary outcome
Descriptive Information Form
Time frame: 6 weeks
It was prepared by the researchers and consists of 6 questions regarding demographic characteristics and the use of artificial intelligence.
Clinical Decision Making Scale in Nursing
Time frame: 6 weeks
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.
Artificial Intelligence Anxiety Scale:
Time frame: 6 weeks
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.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 16 Aug 2024.
- Individual participant dataSharing planned: No
Related trials for Nurse-Patient Relations
Active, not recruitingObservational study
Meaning-Centered Psychotherapy at Home
Nurse-Patient Relations, Psychology, Social
Active, not recruiting
Integrated Management of Atypical Parkinsonism: A Home-based Patient-Centered Healthcare Delivery Based on Telenursing (IMPACT Study)
Atypical Parkinsonism, MSA - Multiple System Atrophy
Enrolling by invitation
Impact of Intensive Care Unit Nurse Participation in Post - ICU Follow Up Clinic
Nurse-Patient Relations, Nurse Role
RecruitingObservational study
Research Project on the Risk of Discomfort, Pain, Alteration of Skin Condition in Bedpan Use by Patients and Caregivers
Nurse-Patient Relations
Enrolling by invitationObservational study
Palliative Care for Patients With Liver Cirrhosis
End of Life Care, Liver Cirrhosis
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing ChatGPT Based Nursing Process Training in people with Nurse-Patient Relations, run by Saglik Bilimleri Universitesi at 1 site in Turkey (Türkiye).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 16 Aug 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Turkey (Türkiye). Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Descriptive Information Form (time frame: 6 weeks). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 16 Aug 2024; AzTrials last refreshed its copy on 30 Oct 2026.