Impact of Artificial Intelligence-Supported Educational Intervention on Mothers' Fever Management Skills and Anxiety Levels (AI-FEVER)

ISMIRA JULFAYEVA

Status: Not yet enrolling

Conditions: Fever; Pediatric Fever Management; Parental Anxiety

Treatments: Other: AI-Based Fever Management Education

Study type: Interventional

Funder types: Other

Identifiers

NCT07086547

10718356 (Other Identifier)

Details and patient eligibility

About

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.

Full description

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.

Enrollment: 80 estimated patients

Sex: Female

Ages: 18 to 50 years old

Volunteers: No Healthy Volunteers

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.

Trial design

Primary purpose: Health Services Research

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

---

80 participants in 2 patient groups

AI-Based Education Group

Experimental group

Description:

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.

Treatment:

Other: AI-Based Fever Management Education

Control Group

No Intervention group

Description:

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