NCT06776354

Brief Summary

Educational Trial: GPT-Based Training vs. Traditional Teaching for Hypertension Management The goal of this educational trial is to determine whether a Generative Pre-trained Transformer (GPT)-based training system is more effective than traditional teaching methods in helping medical students master hypertension management plans. It will also evaluate the educational effectiveness and engagement of the GPT-based system. The main questions it aims to answer are: Does the GPT-based training improve the ability of students to develop effective hypertension management plans compared to traditional methods? How do students perceive the use of the GPT system in their learning process? Researchers will compare the GPT-based training system to traditional teaching methods to see if the innovative AI approach enhances learning outcomes in medical education. Participants will: Engage with either the GPT-based system or traditional teaching materials. Visit the educational facility periodically for assessments and feedback sessions. Keep a diary of their learning experiences, noting any difficulties or advantages they observe in the training method they are assigned.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
52

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Oct 2024

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

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 Start

First participant enrolled

October 20, 2024

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

December 27, 2024

Completed
19 days until next milestone

First Posted

Study publicly available on registry

January 15, 2025

Completed
6 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 12, 2025

Completed
18 days until next milestone

Study Completion

Last participant's last visit for all outcomes

July 30, 2025

Completed
Last Updated

December 9, 2025

Status Verified

March 1, 2025

Enrollment Period

9 months

First QC Date

December 27, 2024

Last Update Submit

December 8, 2025

Conditions

Outcome Measures

Primary Outcomes (2)

  • structured theoretical exam scores

    Structured Theoretical Exam Scores - Immediate and One-Month Follow-Up: This outcome measures the effectiveness of teaching hypertension management. Students take a structured theoretical exam immediately after the training and again one month later to assess knowledge retention. The exam covers hypertension pathophysiology, risk factors, diagnostics, and treatments. Scores range from 0 to 100, with higher scores indicating better knowledge acquisition and retention.

    From enrollment to the end of treatment at 4 weeks

  • Clinical Case Test Scores on Hypertension

    Clinical Case Test Scores on Hypertension - Immediate and One-Month Follow-Up:This outcome measures how well students apply theoretical knowledge to practical clinical scenarios. Tests are administered immediately after training and one month later, involving clinical simulations where students diagnose hypertension and develop treatment plans. Scores range from 0 to 100, with higher scores indicating better clinical reasoning and application of knowledge.

    From enrollment to the end of treatment at 4 weeks

Secondary Outcomes (4)

  • Mood Elevation Scale

    From enrollment to the end of treatment at 4 weeks

  • Cognitive Load Index (CLI)

    From enrollment to the end of treatment at 4 weeks

  • Teaching Satisfaction Assessment

    From enrollment to the end of treatment at 4 weeks

  • Technology Acceptance Model

    From enrollment to the end of treatment at 4 weeks

Study Arms (2)

GPT-based training

EXPERIMENTAL

Generative Pre-trained Transformer (GPT)-based training system

Behavioral: GPT-based training

traditional training

ACTIVE COMPARATOR

traditional training method

Behavioral: traditional training

Interventions

traditional teaching methods

traditional training

GPT-based training whether could improve the ability of students to develop effective hypertension management plans

GPT-based training

Eligibility Criteria

Age18 Years - 30 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64)

You may qualify if:

  • Graduate or regulatory trainee, currently rotating in cardiology and willing to participate in research.
  • Age between 18-30 years old, gender not limited.
  • No specialized training experience in hypertension diagnosis and treatment, only possessing basic medical theoretical knowledge.
  • Able to accept a 4-week teaching intervention (2 hours of study per week).
  • Sign the informed consent form and be aware of the research purpose and process.

You may not qualify if:

  • Graduate students or trained interns who have received specialized training in hypertension medication treatment.
  • Students unable to complete the full course of study (e.g., rotations shorter than four weeks or potential mid-course withdrawal).
  • Unable to consistently participate in educational interventions (e.g., conflicts with study schedule).
  • Have severe physical or mental health issues that may affect the learning process.
  • Have language comprehension barriers or cognitive impairments, making it difficult to complete learning tasks.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

678 Furong Road, Economic Development Zone, Hefei City, Anhui Province, China

Hefei, Anhui, 230601, China

Location

MeSH Terms

Conditions

Hypertension

Condition Hierarchy (Ancestors)

Vascular DiseasesCardiovascular Diseases

Study Officials

  • xianrui luo

    The Second Hospital of Anhui Medical University

    STUDY CHAIR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
OTHER
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
physician-in-charge

Study Record Dates

First Submitted

December 27, 2024

First Posted

January 15, 2025

Study Start

October 20, 2024

Primary Completion

July 12, 2025

Study Completion

July 30, 2025

Last Updated

December 9, 2025

Record last verified: 2025-03

Data Sharing

IPD Sharing
Will not share

Locations