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.
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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Enrollment
80
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.
Erciyes University (ERÜ) Health Application and Research Center, Fevzi Mercan-Mustafa Eraslan Children's Hospital, Pediatric Emergency Unit
Kayseri, Talas, Turkey (Türkiye)
Change in Parental Fever Management Practices
Measured using the Parental Fever Management Scale. The difference between pre- and post-intervention scores will be analyzed.
Time frame: Baseline and 2 weeks after intervention
Change in Parental Fever Management Practices
Measured using the Parental Fever Management Scale. Higher scores indicate better fever management practices. The change from baseline to post-intervention will be assessed.
Time frame: Baseline and 2 weeks after intervention
Change in Parental Anxiety Levels
Measured using the short version of the State Anxiety Inventory (STAI). A decrease in the score indicates reduced anxiety.
Time frame: Baseline and 2 weeks after intervention
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