Chatbot About Electronic Fetal Monitoring

NCT07051343 | Active Not Recruiting

• 1 other identifier: EFM chatbot
• Study Type: interventional
• Target: 84
• Locations: 1 country
• Sites: 1

Brief Summary

• The study aims to investigate the effect of using artificial intelligence Chatbot education about electronic fetal monitoring on maternity nursing students' performance.
• The aim will be achieved through the following,
• Designing AI Chatbot about electronic fetal monitoring.
• Exploring the effect of using AI Chatbot about electronic fetal monitoring on students' performance, interest in education, self-directed learning \& feedback satisfaction.
• The students will be divided into two groups, the intervention group will use EFM Chatbot, and the control group will receive the traditional learning

Conditions

Artificial Intelligence (AI); Electronic Fetal Monitoring; Nursing Students

Keywords

chatbot; EFM; artificial intelligence; students; electronic fetal monitor

Outcome Measures

Primary Outcomes (3)

• Maternity nursing students who received EFM Chatbot education will have better theoretical knowledge regarding EFM within 3 months.

  Maternity Students' Knowledge regard EFM will be assessed using a test made by the researcher consist of 33 questions with a varying degree of difficulty about the core knowledge regrading EFM. Calculated scores will be assigned to the students' knowledge-related answers. Each correct response received a score of "one" \& every incorrect response received a score of "zero." The scores of the items for each area of knowledge will be added up, and the total was divided by the number of items, yielding a mean score for each area. Classification system for the knowledge level will be: * Good knowledge (80% or higher) * Average knowledge (60% to 79%) * poor knowledge (40% to 59%) * very poor knowledge (less than 40%).

  3 months

• Maternity nursing students who received EFM Chatbot education will have satisfactory practical interpretation skills regarding EFM within 3 months.

  Maternity Students' Interpretation Competency regard EFM will be assessed by a test contain number of traces charts; each trace will contain questions intended to assess the respondent's understanding of it \& the ability to accurately interpret and analyze electronic signals generated by fetal cardiotocography machine (total 40 questions). Each accurate response received a score of one, while each wrong response received a score of zero. The scores of the items will be added up for each area of fetal trace interpretation, and the total will be divided by the number of items, yielding a mean score for each region. A percentage score will be created from these scores. A successful interpretation of the fetal trace will be considered satisfactory if the percent score was greater than 60%, as opposed to an unsatisfactory interpretation scoring

  3 months.

• Maternity nursing students who received EFM Chatbot education will have better clinical reasoning confidence regarding EFM within 3 months.

  Maternity students' clinical reasoning confidence in fetal health assessment: will be measured with series of questions as ability to collect patient history, apply proper assessment skills \& identify abnormalities from collected patient information…. etc. Using a 5-point Likert scale with a response of "strongly confident" and "not confident at all" accounts for 5 and 1 points, respectively. The scores of the questions will be added up, and the total will be divided by the number of items, yielding a mean score. The score will be stratified as: 20% to less than 35% indicates beginning 35%-60% indicates developing 61%-85% indicates achieving above 86% indicates exemplary.

  3 months.

Secondary Outcomes (2)

• Maternity nursing students who received EFM Chatbot education will have more interest in education than the control group within 3 months.

  3 months

• Maternity nursing students who received EFM Chatbot education will have higher feedback satisfaction.

  3 months

Study Arms (2)

intervention group

EXPERIMENTAL

this group will receive the designed electronic fetal monitoring AI Chatbot education

Other: designed artificial intelligence Chatbot education about electronic fetal monitoring

control group

OTHER

this group includes students who will receive the traditional learning method (online meeting).

Other: traditional teaching method

Interventions

designed artificial intelligence Chatbot education about electronic fetal monitoring OTHER

effect of using designed artificial intelligence Chatbot about electronic fetal monitoring on maternity nursing students' performance

intervention group

traditional teaching method OTHER

the traditional learning method (online meeting).

control group

Eligibility Criteria

• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

• third level students at faculty of nursing Mansoura university who will register midwifery course of academic year 2024/2025

You may not qualify if:

• students who refuse to participate in the study and those not registered in the course

Sponsors & Collaborators

• Mansoura University: lead

Study Sites (1)

Faculty of Nursing, Mansoura University

Al Mansurah, Dakahlia Governorate, 35516, Egypt

Location

Related Publications (1)

• Han JW, Park J, Lee H. Analysis of the effect of an artificial intelligence chatbot educational program on non-face-to-face classes: a quasi-experimental study. BMC Med Educ. 2022 Dec 1;22(1):830. doi: 10.1186/s12909-022-03898-3.

  PMID: 36457086 BACKGROUND

Related Links

• Ministry of Planning, Monitoring and Administrative Reform Cairo

Study Officials

• Amal Mohamed Talaat Abdelwahab, assistant lecturer

  assistant lecturer at woman's health and midwifery nursing department, faculty of nursing, mansoura university

  PRINCIPAL INVESTIGATOR

• hanan alemam, professor

  head of woman's health and midwifery nursing department, faculty of nursing, mansoura university

  STUDY DIRECTOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NON RANDOMIZED
• Masking: NONE
• Purpose: OTHER
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: assistant lecturer of woman's health and midwifery nursing department

Model Details: A quasi-experimental study design is utilized in this study. It's an intervention study in which subjects won't be randomly assigned to groups, this design compares two nonequivalent groups, study group will receive the intervention then will be measured twice after the intervention. The other group (control) will be measured at the same two times, but doesn't receive any intervention

Study Record Dates

• First Submitted: June 6, 2025
• First Posted: July 4, 2025
• Study Start: June 1, 2025
• Primary Completion: November 1, 2025
• Study Completion: December 1, 2025
• Last Updated: July 4, 2025

Record last verified: 2025-06

Data Sharing

• IPD Sharing: Will share
• Shared Documents: ANALYTIC CODE

Locations

EG (1)