NCT07086547

Brief Summary

This study aims to evaluate the effect of an artificial intelligence (AI)-based educational program on mothers' fever management practices and anxiety related to fever in children. Fever is a common symptom in pediatric patients, especially under the age of three, causing repeated health concerns for parents. Despite the prevalence of fever, parents often engage in inappropriate fever management practices, which may lead to unnecessary anxiety and improper care. The study was conducted as a pretest-posttest experimental design including 80 mothers of children who presented to the Pediatric Emergency Unit at Erciyes University, Fevzi Mercan-Mustafa Eraslan Children's Hospital. Participants were assigned to either an intervention group receiving AI-supported fever management education or a control group receiving standard care. Data were collected using validated scales to assess parental fever management practices and anxiety levels before and after the intervention. The educational material was developed using ChatGPT 4.0, a large language model AI platform, and reviewed by pediatric experts. The results of this study may improve fever management education and reduce anxiety among mothers, potentially leading to better health outcomes for children.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
80

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Oct 2025

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

July 18, 2025

Completed
7 days until next milestone

First Posted

Study publicly available on registry

July 25, 2025

Completed
2 months until next milestone

Study Start

First participant enrolled

October 1, 2025

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 20, 2026

Completed
10 days until next milestone

Study Completion

Last participant's last visit for all outcomes

April 30, 2026

Completed
Last Updated

July 23, 2026

Status Verified

September 1, 2025

Enrollment Period

7 months

First QC Date

July 18, 2025

Last Update Submit

July 21, 2026

Conditions

Keywords

FeverPediatric FeverFever ManagementParental EducationAnxietyArtificial Intelligence

Outcome Measures

Primary Outcomes (1)

  • Change in Parents' Fever Management Practices

    The Parents' Fever Management Scale (PFMS; Turkish: EAYÖ), developed by Walsh et al. (2008) and validated in Turkish by Altun et al. (2011), measures parents' fever management practices. It consists of 8 items rated on a 5-point Likert scale (1=Never, 2=Rarely, 3=Sometimes, 4=Often, 5=Always), yielding a total score ranging from 8 to 40. Higher total scores indicate more fever phobia and less appropriate fever management practices, whereas lower scores indicate more appropriate practices. Therefore, a decrease in the total score reflects improvement. In this study, a reduction in PFMS scores in the intervention group relative to the control group was hypothesized.

    Baseline and 2 weeks after intervention

Secondary Outcomes (1)

  • Change in Parental Anxiety Levels

    Baseline and 2 weeks after intervention

Study Arms (2)

AI-Based Education Group

EXPERIMENTAL

Mothers in this group will receive fever management education developed using an artificial intelligence language model (ChatGPT 4.0). The education includes written materials with visual content on managing fever in children and is delivered as a one-time structured session.

Other: AI-Based Fever Management Education

Control Group

NO INTERVENTION

Mothers in this group will receive routine care and no additional fever education materials.

Interventions

This intervention consists of a fever management education program developed using ChatGPT 4.0, a large language model by OpenAI. The educational content includes seven pages and eight visuals explaining how to manage fever in children. The content was reviewed by pediatric specialists and revised accordingly. It is delivered as a one-time structured session to mothers in the intervention group.

Also known as: ChatGPT-based Educational Material
AI-Based Education Group

Eligibility Criteria

Age18 Years - 50 Years
Sexfemale
Healthy VolunteersNo
Age GroupsAdult (18-64)

You may qualify if:

  • Mothers aged over 18 years,
  • Mothers with children aged between 6 months and 5 years,
  • No hearing problems,
  • Agree to participate in the study,
  • Presenting to the pediatric emergency department with a complaint of fever in their child,
  • Child admitted to the emergency observation room for treatment,
  • Able to speak and understand Turkish.

You may not qualify if:

  • Illiterate mothers,
  • Mothers whose children have had febrile seizures,
  • Mothers whose children have comorbid diseases,
  • Mothers whose children have symptoms requiring medical intervention other than fever.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Erciyes University (ERÜ) Health Application and Research Center, Fevzi Mercan-Mustafa Eraslan Children's Hospital, Pediatric Emergency Unit

Kayseri, Talas, 38160, Turkey (Türkiye)

Location

MeSH Terms

Conditions

FeverAnxiety Disorders

Condition Hierarchy (Ancestors)

Body Temperature ChangesSigns and SymptomsPathological Conditions, Signs and SymptomsMental Disorders

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
PARALLEL
Model Details: Participants (mothers of children) will be randomly assigned to one of two groups: an intervention group receiving AI-supported fever management education, and a control group receiving standard care. Outcomes will be compared between the two groups to evaluate the effect of the educational intervention.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

July 18, 2025

First Posted

July 25, 2025

Study Start

October 1, 2025

Primary Completion

April 20, 2026

Study Completion

April 30, 2026

Last Updated

July 23, 2026

Record last verified: 2025-09

Locations