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Smart Education for MACE Prevention and Early Detection

NCT06816238 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 87376

Last updated 2025-02-10

No results posted yet for this study

Summary

With its high incidence, recurrence, disability, and mortality, stroke has become a significant health challenge in society today. However, "stroke can be prevented and treated," and high-risk groups for stroke are the primary beneficiaries of stroke prevention and control measures. Yet, these populations often have low awareness of proper stroke prevention and treatment knowledge. The reasons for this may include limited coverage, lack of accessibility, inadequate relevance, and uneven content quality in traditional health education measures.

To address these issues, innovative intervention strategies are needed to explore more effective health education methods. The occurrence of Major Adverse Cardiovascular Events (MACE), such as stroke, can be reduced by improving the knowledge and practical abilities of high-risk populations regarding scientific stroke prevention and treatment. One such strategy is the use of smartphone-based information software, which can break the constraints of time and space, delivering health education knowledge to a broader audience. To enhance accessibility, key knowledge points can be repeatedly delivered to the target population through one-way push notifications and interactive Q\&A, allowing for more engaging and flexible learning. In terms of improving pertinence, it is essential to tailor health education delivery to the individual needs of the educatees, considering factors such as age, education level, and risk factors. Furthermore, the quality of health education content must be authoritative, scientifically accurate, easy to understand, and practically applicable. The content should be based on the latest scientific research and professional medical practice, reviewed by authoritative institutions or experts, and should align with the needs of the educated populations for self-health management. Additionally, human and financial costs should be considered when designing such interventions.

In this study, a large-scale medical model based on a stroke prevention and treatment knowledge base, integrated with an intelligent medical system and interactive Q\&A, is employed. This approach ensures content quality while minimizing the need for additional manpower in education and Q\&A, making the intervention more cost-effective and scalable for widespread use. The purpose of this study is to explore whether the incidence of MACE in a high-risk stroke population receiving interactive medical model education-based on a stroke prevention and treatment knowledge base-is lower than in a group without such interactive education.

Conditions

  • High-Risk Stroke Population

Interventions

OTHER

Interactive education

interactive education based on a medical knowledge model, utilizing intelligent medical agents and interactive Q\&A

OTHER

Traditional health education

traditional health education methods without the use of the interactive medical model and intelligent Q\&A system

Sponsors & Collaborators

  • Second Affiliated Hospital, School of Medicine, Zhejiang University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-03-01
Primary Completion
2026-02-28
Completion
2027-02-28

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06816238 on ClinicalTrials.gov