Impact of Artificial Intelligence-Supported Educational Intervention on Mothers' Fever Management

NCT ID: NCT07086547

Last Updated: 2025-10-02

Study Results

Results pending

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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Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

80 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-11-01

Study Completion Date

2025-12-31

Brief Summary

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This study aims to evaluate the effect of an artificial intelligence (AI)-based educational program on mothers' knowledge and anxiety related to fever management 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 lack sufficient knowledge and skills to manage it properly, which may lead to unnecessary anxiety and inappropriate care practices.

The study will be conducted as a pretest-posttest experimental design including 80 mothers of children who visit the Pediatric Emergency Clinic at Kayseri City Hospital. Participants will be assigned to either an intervention group receiving AI-supported fever management education or a control group receiving standard care.

Data will be collected using validated scales to assess parental fever management knowledge 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.

Detailed Description

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This study investigates the impact of an AI-supported educational program on mothers' fever management knowledge and anxiety. Fever is common in pediatric patients and can cause significant concern for parents, especially for children under three years old. Parents often lack adequate knowledge about fever management, leading to inappropriate practices and increased anxiety.

The study uses a pretest-posttest experimental design involving 80 mothers visiting the Pediatric Emergency Clinic at Kayseri City Hospital. Participants are assigned to either an intervention group receiving education developed using ChatGPT 4.0, reviewed by pediatric experts, or a control group receiving standard care.

Data collection tools include validated scales measuring fever management knowledge and anxiety levels. The intervention aims to empower mothers with better skills and reduce anxiety, potentially improving child health outcomes.

Conditions

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Fever; Pediatric Fever Management; Parental Anxiety

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

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.
Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

NONE

Study Groups

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AI-Based Education Group

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.

Group Type EXPERIMENTAL

AI-Based Fever Management Education

Intervention Type OTHER

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.

Control Group

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

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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AI-Based Fever Management Education

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.

Intervention Type OTHER

Other Intervention Names

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ChatGPT-based Educational Material

Eligibility Criteria

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Inclusion Criteria

* 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.

Exclusion Criteria

* 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.
Minimum Eligible Age

18 Years

Maximum Eligible Age

50 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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ISMIRA JULFAYEVA

OTHER

Sponsor Role lead

Responsible Party

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ISMIRA JULFAYEVA

Master's Student and nurse

Responsibility Role SPONSOR_INVESTIGATOR

Locations

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

Kayseri, Talas, Turkey (Türkiye)

Site Status

Countries

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Turkey (Türkiye)

Central Contacts

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ISMIRA JULFAYEVA, MSc

Role: CONTACT

+905516588305

NURAY CANER, Assoc. Prof.

Role: CONTACT

+905544170940

Facility Contacts

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Ismira Julfayeva, Master's Student

Role: primary

+905516588305

NURAY CANER, Assoc. Prof.

Role: backup

+905544170940

Other Identifiers

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10718356

Identifier Type: OTHER

Identifier Source: secondary_id

10718356

Identifier Type: -

Identifier Source: org_study_id

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