NCT06780228

Brief Summary

The present proposed study will design and develop a chatbot to support graduating nursing students' clinical learning. The efficacy of this chatbot technology will be evaluated, using a mixed methods quasi-experimental design. the proposed study hypothesizes that the chatbot-assisted clinical education has the potential to promote clinical performance by improving nursing knowledge, general self-efficacy, and self-reflection and insight.

Trial Health

65
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
174

participants targeted

Target at P75+ for not_applicable

Timeline
8mo left

Started Jan 2025

Typical duration for not_applicable

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress67%
Jan 2025Dec 2026

First Submitted

Initial submission to the registry

January 11, 2025

Completed
Same day until next milestone

Study Start

First participant enrolled

January 11, 2025

Completed
6 days until next milestone

First Posted

Study publicly available on registry

January 17, 2025

Completed
1.7 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 30, 2026

Expected
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 30, 2026

Last Updated

January 17, 2025

Status Verified

January 1, 2025

Enrollment Period

1.7 years

First QC Date

January 11, 2025

Last Update Submit

January 15, 2025

Conditions

Keywords

Clinical learningNursing studentsChatbotFocus group interviewQuasi-experimental design

Outcome Measures

Primary Outcomes (2)

  • nursing knowledge

    multiple-choice questionnaire (MCQ) consisting of 50 items will be administered to evaluate students' nursing knowledge. the score ranges from 0 to 50. the higher the score, the better nursing knowledge.

    before-intervention at baseline (T0), 4 weeks after baseline (week 4, T1) and after intervention (week 12; T2).

  • General self-efficacy

    A 10-item General Self-Efficacy Scale to assess a general sense of perceived self-efficacy to manage hassles. It is scored with possible responses, 1=not at all true; 2=hardly true; 3=moderately true; and 4=exactly true, yielding a total score between 10 and 40. The higher the score, the higher the optimistic to cope with daily hassles.

    before-intervention at baseline (T0), 4 weeks after baseline (week 4, T1) and after intervention (week 12; T2).

Secondary Outcomes (2)

  • Self-reflection and insight

    : before-intervention at baseline (T0), 4 weeks after baseline (week 4, T1) and after intervention (week 12; T2).

  • Qualitative Comments on the Perceptions of Chatbot-assisted technology

    at the end of the 12-week study

Study Arms (2)

Chatbot assisted learning

EXPERIMENTAL

The participants will recevie a self-developed web-based chatbot platform which is accessible via smartphones. It provides real-time dialogue with the chatbot through texts, visual aids, and audio files. The intervention will be available throughout the 12-week study. the chatbot is characterized by a gender-neutral persona, assumes the role of a friendly and empathetic clinical mentor. Its communication style can be described as calm, tolerant, supportive, and appreciative. Participants will receive weekly Short Message Service (SMS) notifications to remind them to consult with the chatbot.

Behavioral: chatbot-assisted clinical learning

control group _usual care

NO INTERVENTION

Participants in the Control Group will receive their usual clinical education support during the intervention period

Interventions

The participants will recevie a self-developed web-based chatbot platform which is accessible via smartphones. It provides real-time dialogue with the chatbot through texts, visual aids, and audio files. The intervention will be available throughout the 12-week study. the chatbot is characterized by a gender-neutral persona, assumes the role of a friendly and empathetic clinical mentor. Its communication style can be described as calm, tolerant, supportive, and appreciative. Participants will receive weekly SMS notifications to remind them to consult with the chatbot.

Chatbot assisted learning

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Baccalaureate nursing students participating in their final clinical placement
  • have sufficient knowledge of English language
  • own a smartphone with internet access
  • possess a valid Hong Kong phone number
  • possess a valid email address

You may not qualify if:

  • those who have been involved in the pilot test of the proposed chatbot intervention

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Officials

  • Winnie LS CHENG, PhD

    Saint Francis University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Winnie LS CHENG, PhD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Masking Details
In this study, outcome assessors were effectively blinded to participant group assignments through the use of an advanced electronic data collection platform. Each participant was assigned a unique identifier by the system, which masked their group allocation. Assessors accessed participant data through a secure portal that only displayed these identifiers and relevant clinical data, without any indication of group membership.
Purpose
SUPPORTIVE CARE
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

January 11, 2025

First Posted

January 17, 2025

Study Start

January 11, 2025

Primary Completion (Estimated)

September 30, 2026

Study Completion (Estimated)

December 30, 2026

Last Updated

January 17, 2025

Record last verified: 2025-01

Data Sharing

IPD Sharing
Will not share

I will not publish in Medical Journal Editors