Chatbot Facilitated Education on Child and Adolescent Abuse

March 29, 2024 updated by: Kao Li-Cheng, Tzu Chi University

The Effectiveness of Chatbot Facilitated Education on Child and Adolescent Abuse for Nurses

Background: Child and adolescent abuse and neglect (CAAN) cases are increasing both in Taiwan and worldwide. As the first healthcare professionals who come in contact with CAAN cases, nurses play a crucial role. Studies show that the lack of professional knowledge and ability of nursing staff on CAAN affects the effectiveness of timely identification and notification. Therefore, it is extremely important to improve the knowledge and ability of nursing staff to assess and report CAAN. With advancements in technology, continuing education for nurses is now more extensive than traditional lecture teaching. Online education, which breaks down the barriers of time and space in learning, has thrived after the COVID-19 pandemic. Chatbots are an option for individual learning and can increase accessibility and convenience for nurses learning how to recognize and report CAAN.

Objective: The aims of the study are to evaluate the effectiveness of using chatbots as teaching aids to assist nursing personnel in preventing child abuse. This evaluation will be the impact of learning on CAAN competency.

Method: The study utilizes an experimental design in which participants are purposively sampled and subsequently randomized into either the experimental or control group. The experimental group will use "chatbot" to facilitate teaching. The control group only receives lecture-based teaching. The course content is comprised of two main subjects: "CAAN" and "Nurses' Roles and Functions in CAAN," which was developed using the ADDIE model. The study employs the CAAN Knowledge and Competency Scale which retrieves from the Child abuse report intention scale (CARIS) by Feng and Wu (2005). Additionally, the learning effect is assessed at three different time points: before the course, one week after, and four weeks after.

Expected Results: The study predicts that the learning effects of the experimental group, which used chatbots, will be better than those of the control group. It is expected that these results will be able to implement in various educational fields, including CAAN and interdisciplinary teams.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

98

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Li-Cheng Kao, Bachelor
  • Phone Number: 886983026120
  • Email: j93997@gmail.com

Study Locations

  • Taiwan
    • Hualien County
      • Hualien City, Hualien County, Taiwan, 970374
        • Recruiting
        • Tzu Chi University
        • Contact:
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

Nurses who

  1. work in Hualien Tzu Chi Hospital
  2. finish the probationary period, directly do the practical care
  3. want to participate and sign the consent

Exclusion Criteria:

The nurses will be excluded if they are in an administrative position or withdraw the protocol for any reason.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Chatbot-facilitated Group
Other: chatbot facilitate teaching
The experimental group will use "chatbot" to facilitate teaching.
Active Comparator: Controlled Group
Other: ecture-based teaching
The control group only receives lecture-based teaching.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
intention to report questionnaire
Time Frame: Three different time points: Baseline (before the course), one week after, and four weeks after.
The questionnaire has eight child abuse cases, and the participants will select a score from 0 to 10 depending on their intention to report. A higher score means they intend to report the cases.
Three different time points: Baseline (before the course), one week after, and four weeks after.
attitude toward reporting questionnaire
Time Frame: Three different time points: Baseline (before the course), one week after, and four weeks after.
The questionnaire has three aspects, which are child discipline, abusive parents, and professional responsibility for reporting child abuse. The participants will select a score from 0 to 6, depending on their agreement level. A higher score means they have negative attitudes toward child physical discipline, lower tolerance towards the perpetrators, and positive attitudes toward the responsibility of reporting suspected child abuse.
Three different time points: Baseline (before the course), one week after, and four weeks after.
knowledge questionnaire
Time Frame: Three different time points: Baseline (before the course), one week after, and four weeks after.
The questionnaire has thirteen true-false questions. A higher score means they have enough knowledge of child abuse and the relative law.
Three different time points: Baseline (before the course), one week after, and four weeks after.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Tzu Chi University

Investigators

  • Study Chair: Mei-Lin Hsieh, PhD candidate, Tzu Chi University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 4, 2024

Primary Completion (Estimated)

April 8, 2024

Study Completion (Estimated)

April 8, 2024

Study Registration Dates

First Submitted

October 5, 2023

First Submitted That Met QC Criteria

December 11, 2023

First Posted (Actual)

December 12, 2023

Study Record Updates

Last Update Posted (Actual)

April 1, 2024

Last Update Submitted That Met QC Criteria

March 29, 2024

Last Verified

March 1, 2024

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • IRB112-148-B

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Our study won't share the IPD with others. It has been written on the participants' consent.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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