Effect of Artificial Intelligence-Driven Mobile Application on Nurses' Knowledge and Attitude Toward Atraumatic Care for Hospitalized Children: A Randomized Controlled Trial
Trial Snapshot
- Phase
- Not Applicable
- Status
- Completed
- Sponsor
- University of Baghdad
- Enrollment
- 97
- Locations
- 1
- Primary Endpoint
- Nurses' Knowledge about Atraumatic Care
Study Overview
Brief Summary
This randomized controlled trial aims to evaluate the effect of an artificial intelligence-driven mobile application on nurses' knowledge and attitudes toward atraumatic care for hospitalized children. Participants, who are pediatric nurses, will be randomly assigned to either the intervention group, using the mobile application, or the control group receiving standard education. The primary outcomes are improvements in nurses' knowledge and attitudes, measured after the intervention. The study seeks to determine whether the mobile application enhances nurses' competence in providing atraumatic care compared to usual training methods.
Detailed Description
This randomized controlled trial investigates the effectiveness of an artificial intelligence-driven mobile application designed to enhance nurses' knowledge and attitudes toward atraumatic care for hospitalized children. Pediatric nurses working in hospital units will be randomly assigned to either the intervention group, which will use the mobile application, or the control group, which will receive standard education. The intervention aims to provide interactive learning modules, case scenarios, and practical guidelines for atraumatic care. Primary outcomes include improvements in knowledge scores and attitude assessments, measured before and after the intervention. Secondary outcomes include participants' satisfaction with the application and self-reported confidence in providing atraumatic care. The study is expected to provide evidence on the utility of mobile AI-based educational tools in improving nursing competence and patient care in pediatric settings.
Study Design
- Study Type
- Interventional
- Allocation
- Randomized
- Intervention Model
- Parallel
- Primary Purpose
- Other
- Masking
- None
Masking Description
Open-label study; no masking applied to participants, care providers, investigators, or outcome assessors.
Eligibility Criteria
- Ages
- 18 Years to 50 Years (Adult)
- Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- •The study included nurses who:
- •Work in the participating units and provide direct nursing care to children or neonates.
- •Own a smartphone and are capable of using it (as the intervention is delivered via a mobile application).
- •Agree to participate and provide written informed consent
Exclusion Criteria
- •Nurses were excluded if they:
- •Perform only administrative tasks (e.g., statistics/records) without providing direct patient care.
- •Are expected to take long-term leave during the intervention/follow-up period
Arms & Interventions
Nurses Receiving Atraumatic Care Training"
Participants receive the AI-driven mobile application containing educational modules on atraumatic care, an interactive AI-based chat for at least three questions per module, module quizzes of 10 AI-generated questions, and a final assessment of 25 questions covering all modules. Completion of each module and quiz is required to advance
Intervention: Atraumatic Care Training Program (Behavioral)
Control group
Nurses in this group will continue their routine practice without receiving any additional training, mobile application, or educational program. This group serves as a comparison to evaluate the effect of the AI-driven mobile application on the experimental group. Participants follow standard hospital protocols and provide care as usual, without exposure to the study intervention.
Intervention: No Intervention / Standard Care (Behavioral)
Outcomes
Primary Outcomes
Nurses' Knowledge about Atraumatic Care
Time Frame: Pre-test and immediately post-intervention (after completing the mobile application modules).
Change in nurses' knowledge scores regarding atraumatic care for hospitalized children, measured using a validated knowledge questionnaire administered before and after the AI-driven mobile application intervention.
Secondary Outcomes
No secondary outcomes reported
Investigators
Mustafa Sahib Ali
Effect of Artificial Intelligence-Driven Mobile Application on Nurses' Knowledge and Attitude toward Atraumatic Care for Hospitalized Children: A Randomized Controlled Trial
University of Baghdad