Smart Education for MACE Prevention and Early Detection (SEED)

Smart Education for Major Adverse Cardiovascular Events Prevention and Early Detection

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.

Study Overview

Detailed Description

With its high incidence, recurrence, disability and mortality, stroke has become an important health challenge facing the society at present. However, "stroke can be prevented and treated," and high-risk groups of stroke are the main beneficiaries of stroke prevention and control and the intervention targets of "health education" measures. Yet, their awareness of correct stroke prevention and treatment knowledge is low. The reasons may be related to the limited coverage, lack of accessibility, lack of pertinence, and uneven content quality of traditional health education measures.

Therefore, we need to adopt innovative intervention strategies to overcome these constraints and explore effective ways of health education. The occurrence of Major Adverse Cardiovascular Events (MACE), such as stroke, can be reduced by improving the knowledge level and practical ability of scientific stroke prevention and treatment in high-risk populations. In this study, the intervention is based on a large medical model using a medical intelligent agent for interactive Q&A. This approach is designed to enhance popularization, accessibility, pertinence, and content quality.

Popularization: The use of smartphone-based information software can break through the limitations of time and space, conveying health education knowledge to a wider audience.

Accessibility: Key knowledge points can be repeatedly delivered to the target audience through one-way pushes of health education content, complemented by interactive Q&A with intelligent medical agents.

Pertinence: Health education content is personalized based on the individual's age, education level, risk factors, and other personal characteristics, ensuring relevance to each educatee.

Content Quality: The educational content is authoritative, scientifically accurate, easy to understand, and practical, drawing from the latest scientific research and professional medical practices, reviewed by authoritative experts and institutions. The intervention ensures that the educated's needs for self-health management are fully considered.

This model leverages the large medical knowledge base and intelligent medical agents to provide personalized, scalable, and cost-effective education, which eliminates the need for additional manpower in education and Q&A. This approach helps reduce costs while enabling large-scale implementation.

The purpose of this study was to explore whether the incidence of MACE in high-risk stroke populations receiving interactive education based on a medical knowledge model and intelligent Q&A is lower than that in a group without such education.

Study Type

Interventional

Enrollment (Estimated)

87376

Phase

  • Not Applicable

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

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

Individuals who meet the definition of a stroke risk group, including those with hypertension, dyslipidemia, diabetes, atrial fibrillation, valvular heart disease, a history of smoking, significant overweight or obesity, physical inactivity, a family history of stroke, or any combination of 8 or more stroke risk factors.

Individuals with a history of one or more transient ischemic attacks (TIAs) or a previous stroke.

Legal capacity to provide informed consent. Permanent residents of Zhejiang Province with Zhejiang Provincial household registration.

Ownership of a smartphone and access to the Alipay app. Voluntary participation and adherence to the principles of informed consent.

Exclusion Criteria:

Illiteracy or difficulty with reading/communication. Medical personnel. Inability to complete the study questionnaire due to physical or cognitive limitations.

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: Prevention
  • Allocation: Randomized
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Intervention Group
High-risk stroke population receiving interactive education based on a medical knowledge model, utilizing intelligent medical agents and interactive Q&A. The educational content will cover stroke prevention and treatment, tailored to individual risk factors and needs.
interactive education based on a medical knowledge model, utilizing intelligent medical agents and interactive Q&A
Active Comparator: Control Group
High-risk stroke population receiving traditional health education methods without the use of the interactive medical model and intelligent Q&A system.
traditional health education methods without the use of the interactive medical model and intelligent Q&A system

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
MACE Incidence
Time Frame: 1 year from enrollment
The occurrence of major adverse cardiovascular events (MACE), including stroke (ischemic or hemorrhagic), myocardial infarction, heart failure, or cardiovascular death, in participants over the 1-year follow-up period. MACE is a composite outcome that captures the broad range of adverse cardiovascular events.
1 year from enrollment

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Stroke Incidence
Time Frame: 1 year from enrollment
The occurrence of new stroke events (ischemic or hemorrhagic) in participants during the 1-year follow-up period.
1 year from enrollment
Hospitalization Due to Cardiovascular Events
Time Frame: 1 year from enrollment
The number of hospital admissions related to cardiovascular events, including stroke, myocardial infarction, heart failure, or other significant cardiovascular conditions.
1 year from enrollment
Stroke Prevention and Treatment Knowledge
Time Frame: 1 year from enrollment
Participants' knowledge of stroke prevention and treatment, assessed via surveys or questionnaires.
1 year from enrollment
Blood Pressure Control
Time Frame: 1 year from enrollment
Proportion of participants maintaining blood pressure within recommended levels (e.g., <140/90 mmHg) as part of stroke and cardiovascular risk management.
1 year from enrollment
Physical Function and Quality of Life (QoL)
Time Frame: 1 year from enrollment
Assessment of physical function and overall quality of life, measured using standardized scales like the EQ-5D or the SF-36, to understand the impact of the intervention on the participant's daily living and wellbeing.
1 year from enrollment
Adherence to Stroke Prevention Medications
Time Frame: 1 year from enrollment
Proportion of participants adhering to prescribed medications (e.g., antihypertensives, antiplatelets) for stroke prevention, measured via self-reports or pharmacy refill data.
1 year from enrollment
Smoking Cessation (for smokers)
Time Frame: 1 year from enrollment
Proportion of smokers who quit smoking within 3 months of the intervention, as assessed by self-report and/or biochemical validation (e.g., carbon monoxide levels, cotinine levels).
1 year from enrollment
Weight Loss (for overweight participants)
Time Frame: 1 year from enrollment
Proportion of overweight participants who lose at least 5% of their body weight within 3 months, measured via weight records.
1 year from enrollment
Sense of First Aid for Stroke
Time Frame: 1 year from enrollment
Improvement in participants' knowledge and confidence in providing first aid in the event of a stroke, measured through a standardized questionnaire or skills assessment.
1 year from enrollment
Thrombolysis Use in Ischemic Stroke
Time Frame: 1 year from enrollment
Proportion of ischemic stroke patients who receive thrombolysis treatment (IV tPA or intra-arterial therapy) within the recommended time window.
1 year from enrollment

Collaborators and Investigators

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

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 (Estimated)

March 1, 2025

Primary Completion (Estimated)

February 28, 2026

Study Completion (Estimated)

February 28, 2027

Study Registration Dates

First Submitted

February 4, 2025

First Submitted That Met QC Criteria

February 4, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

February 4, 2025

Last Verified

January 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

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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