Nursing EducationCHATPEDNCT07700290
Effect of a Chatbot on Nursing Students' Self-Efficacy in Pediatric Medication Administration
A study testing Chatbot-supported training in people with Nursing Education and Medication Administration, run by Tugba KARAKUS TURKER at 1 site in Turkey (Türkiye).
Trial summary
This study looked at whether a chatbot can help nursing students feel more confident about giving medicines to children. Giving medicines to children is difficult because doses depend on the child's weight, and mistakes can be harmful. Third-year nursing students starting their pediatric clinical placement took part. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Nursing Education, Medication Administration, Self-Efficacy
- What is being tested?
- Chatbot-supported training
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 106 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 1 Jan 2026to 1 Jul 2026
- 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 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Third-year nursing student
- Entering the pediatric (child health and diseases) clinical placement for the first time
- Owning a smartphone or computer
- Providing voluntary informed consent to participate
Who cannot join
- Previous completion of a pediatric clinical placement
- Prior participation in a similar educational intervention
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Effect of a Chatbot-Supported Clinical Training on Nursing Students' Self-Efficacy in Pediatric Medication Administration: A Randomized Controlled Trial
This study looked at whether a chatbot can help nursing students feel more confident about giving medicines to children. Giving medicines to children is difficult because doses depend on the child's weight, and mistakes can be harmful. Third-year nursing students starting their pediatric clinical placement took part. They were divided by chance into two groups. Both groups received the usual training. One group also used a chatbot that helped with medicine dose calculations and answered questions about giving medicines to children, based on a trusted nursing textbook. The other group used only the usual references. Students' confidence in giving medicines to children was measured with a questionnaire before and after the placement. The study compared how much each group's confidence changed to see whether the chatbot added a benefit beyond the usual training.
Read the detailed description
This was a two-group, parallel, pre-test-post-test randomized controlled trial evaluating the effect of a chatbot-supported clinical training on nursing students' self-efficacy in pediatric medication administration. The trial was reported in accordance with the CONSORT statement.
All eligible third-year nursing students entering the pediatric clinical placement were invited (complete enumeration), and 106 students who consented were enrolled. Participants were allocated to an experimental group (n=53) and a control group (n=53) using fixed block randomization (block size = 6).
Both groups received the routine curriculum. The experimental group additionally used a web-based chatbot before and during the placement. The chatbot contained two modules: a dose calculator (computing required drug amount and volume from the child's weight, prescribed dose, and drug concentration) and a question-answer assistant. The chatbot's content was drawn solely from a validated pediatric nursing reference textbook rather than free AI-generated responses. The control group accessed standard clinical references only. After the study, the control group was also offered access to the chatbot.
Data were analyzed using independent- and paired-samples t-tests and analysis of covariance (ANCOVA) with the pre-test score as a covariate.
- Being tested
- Chatbot-supported training
- Keywords
- chatbot, Artificial Intelligence, Nursing Students, Pediatric Nursing, Medication Administration, Self-Efficacy, Digital Health Education
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Chatbot-supported trainingBehavioural
A web-based chatbot accessible via mobile and desktop browsers, containing two modules: an advanced dose calculator that computes required drug amount and volume from the child's weight, prescribed dose, and drug concentration; and a question-answer assistant that responds to pediatric medication questions using content drawn solely from a validated pediatric nursing reference textbook.
| Study group | Role | What they receive |
|---|---|---|
| Experimental group | Experimental | Participants received the routine curriculum and additionally used a web-based chatbot (a dose calculator and a book-based question-answer assistant) before and during the pediatric clinical placement. Receives: Behavioral: Chatbot-supported training |
| Control group | No intervention | Participants received the routine curriculum and accessed standard clinical references only, without the chatbot. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Self-efficacy in pediatric medication administration
Self-efficacy measured with the Medication Administration Self-Efficacy Scale in Children for Nursing Students (MASSCNS), a 16-item, 5-point Likert scale with total scores ranging from 16 to 80. Higher scores indicate greater self-efficacy. Change from pre-test to post-test was compared between groups.
Measured: Baseline (before the pediatric clinical placement) and post-intervention (after completion of the placement, approximately at the end of the clinical rotation). Baseline (Day 1) and post-intervention (Week 8)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted14 Jul 2026
- Study start1 Jan 2026
- Primary completion1 Jul 2026
- Study completion1 Jul 2026
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Nursing EducationStudies 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
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Two-group parallel pre-test-post-test randomized controlled trial
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 106 participants (actual)
Sponsor and investigators
- Lead sponsor
- Tugba KARAKUS TURKER
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor-investigator, Tugba KARAKUS TURKER, Uskudar University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07700290
- Sponsor's protocol ID
- CHATBOT-PED-USKUDAR
- Acronym
- CHATPED
- Status last verified
- Jul 2026
- First submitted
- 5 Jul 2026
- Last updated
- 14 Jul 2026
- 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 14 Jul 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Effect of a Chatbot-Supported Clinical Training on Nursing Students' Self-Efficacy in Pediatric Medication Administration: A Randomized Controlled Trial
- ClinicalTrials.gov ID
- NCT07700290
- Acronym / sponsor ID
- CHATPED / CHATBOT-PED-USKUDAR
- Keywords
- chatbot, Artificial Intelligence, Nursing Students, Pediatric Nursing, Medication Administration, Self-Efficacy, Digital Health Education
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 106 participants (actual)
- Lead sponsor
- Tugba KARAKUS TURKERUniversity, hospital or other
- Study start
- 1 Jan 2026 (actual)
- Primary completion
- 1 Jul 2026 (actual)
- Study completion
- 1 Jul 2026 (actual)
- First posted
- 14 Jul 2026 (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.
This study looked at whether a chatbot can help nursing students feel more confident about giving medicines to children. Giving medicines to children is difficult because doses depend on the child's weight, and mistakes can be harmful. Third-year nursing students starting their pediatric clinical placement took part. They were divided by chance into two groups. Both groups received the usual training. One group also used a chatbot that helped with medicine dose calculations and answered questions about giving medicines to children, based on a trusted nursing textbook. The other group used only the usual references. Students' confidence in giving medicines to children was measured with a questionnaire before and after the placement. The study compared how much each group's confidence changed to see whether the chatbot added a benefit beyond the usual training.
Detailed description
This was a two-group, parallel, pre-test-post-test randomized controlled trial evaluating the effect of a chatbot-supported clinical training on nursing students' self-efficacy in pediatric medication administration. The trial was reported in accordance with the CONSORT statement.
All eligible third-year nursing students entering the pediatric clinical placement were invited (complete enumeration), and 106 students who consented were enrolled. Participants were allocated to an experimental group (n=53) and a control group (n=53) using fixed block randomization (block size = 6).
Both groups received the routine curriculum. The experimental group additionally used a web-based chatbot before and during the placement. The chatbot contained two modules: a dose calculator (computing required drug amount and volume from the child's weight, prescribed dose, and drug concentration) and a question-answer assistant. The chatbot's content was drawn solely from a validated pediatric nursing reference textbook rather than free AI-generated responses. The control group accessed standard clinical references only. After the study, the control group was also offered access to the chatbot.
Data were analyzed using independent- and paired-samples t-tests and analysis of covariance (ANCOVA) with the pre-test score as a covariate.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 2
- Model description
- Two-group parallel pre-test-post-test randomized controlled trial
| Arm | Type | Receives |
|---|---|---|
| Experimental group | Experimental | Behavioral: Chatbot-supported trainingParticipants received the routine curriculum and additionally used a web-based chatbot (a dose calculator and a book-based question-answer assistant) before and during the pediatric clinical placement. |
| Control group | No intervention | –Participants received the routine curriculum and accessed standard clinical references only, without the chatbot. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- Third-year nursing student
- Entering the pediatric (child health and diseases) clinical placement for the first time
- Owning a smartphone or computer
- Providing voluntary informed consent to participate
Key exclusion criteria (2 listed)
- Previous completion of a pediatric clinical placement
- Prior participation in a similar educational intervention
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 |
|---|---|---|
| Chatbot-supported trainingA web-based chatbot accessible via mobile and desktop browsers, containing two modules: an advanced dose calculator that computes required drug amount and volume from the child's weight, prescribed dose, and drug concentration; and a question-answer assistant that responds to pediatric medication questions using content drawn solely from a validated pediatric nursing reference textbook. | Behavioural | Experimental group |
Primary outcome
Self-efficacy in pediatric medication administration
Time frame: Baseline (before the pediatric clinical placement) and post-intervention (after completion of the placement, approximately at the end of the clinical rotation). Baseline (Day 1) and post-intervention (Week 8)
Self-efficacy measured with the Medication Administration Self-Efficacy Scale in Children for Nursing Students (MASSCNS), a 16-item, 5-point Likert scale with total scores ranging from 16 to 80. Higher scores indicate greater self-efficacy. Change from pre-test to post-test was compared between groups.
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 14 Jul 2026.
- Individual participant dataSharing planned: No
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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 Chatbot-supported training in people with Nursing Education and Medication Administration, run by Tugba KARAKUS TURKER 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 4 inclusion and 2 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 14 Jul 2026. 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?
Self-efficacy in pediatric medication administration (time frame: Baseline (before the pediatric clinical placement) and post-intervention (after completion of the placement, approximately at the end of the clinical rotation). Baseline (Day 1) and post-intervention (Week 8)). 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 14 Jul 2026.