Stroke Clinical Trial
Official title:
Effectiveness of Stroke Riskometer Apps In Improving Awareness of Stroke Risk and Stroke Risk Probability Among Young Adult Population In Kelantan: An App-Based Intervention Study
Verified date | February 2021 |
Source | Ministry of Health, Malaysia |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This intervention study using the Stroke Riskometer Apps as health promotion and disease prevention tools for the stroke prevention. Study will specifically target the young adult population (18-50 years old) who are the population at risk for young stroke. The study will determine the effectiveness of Stroke Riskometer Apps by assessing the awareness (knowledge, perception of stroke risk and intention to change behaviours) using the translated ABCD risk questionnaire and stroke risk probability using Stroke Riskometer Apps.
Status | Active, not recruiting |
Enrollment | 116 |
Est. completion date | May 2021 |
Est. primary completion date | September 5, 2020 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 50 Years |
Eligibility | Inclusion Criteria: - All consented young adult (aged 18 - 50 years old) who are Kelantan resident, can understand Malay language and own a smartphone. Exclusion Criteria: - Non-Malaysian and ever diagnosed of stroke and psychiatric problem. |
Country | Name | City | State |
---|---|---|---|
Malaysia | Universiti Sains Malaysia, Health Campus | Kubang Kerian | Kelantan |
Lead Sponsor | Collaborator |
---|---|
Ministry of Health, Malaysia | Universiti Sains Malaysia |
Malaysia,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Stroke Risk Awareness | The outcome will be measured as stroke risk awareness score. The score will be calculated from the translated and validated 'Attitudes and Beliefs about Cardiovascular Disease (ABCD) Risk Questionnaire' which consists of 26 questions with total score of 80. The awareness score represents domain of knowledge (8 items), perception (12 items) and intention to change (6 items). For the domain knowledge, the type of answer is true/false/don't know while the rest are 4 likert scales; strongly disagree, disagree, agree and strongly agree. The total score will be calculated as percentage and the higher the percentage, the better the awareness of stroke risk. It will be assessed at the earlier of the study, second week, forth week and sixth week.
The outcome will be analysed using the Linear Mixed Effect model after adjusting the potential confounder such as sociodemographic (age, gender, ethnicity, marital status) and/or socioeconomic status (education level, income/occupational). |
6 weeks | |
Secondary | Body Mass Index (kg/m^2) | The outcome consists of weight (in kilogram) and height (in meters) that will be combined to report BMI in kg/m^2. The BMI will be measured at the earlier of study and sixth week of study. Instruments that will be used in this study are uniform and well-calibrated. | 6 weeks | |
Secondary | Blood Pressure (mmHg) | The outcome will be measured at the earlier of study and sixth week of study using uniform and well-calibrated instruments. | 6 weeks | |
Secondary | Stroke Risk Probability | The outcome is the percentage of stroke risk probability within 5 and 10 years. It will be measured using the Stroke Riskometer (control group will use the same assessment that translated into question set). It contains 15 questions consist of stroke risk factors (smoking, alcohol consumption, dietary and physical activities), related comorbidity (diabetes, hypertension, heart disease and traumatic brain injury) and including the BMI and blood pressure. The higher the percentage of stroke risk probability means higher risk of getting stroke within 5 and 10 years. It will be measured on the baseline week and sixth week of the study.
The outcome will be analysed using the Linear Mixed Effect model between the intervention and control group. The model also will be adjusted to the potential confounder such as sociodemographic (age, gender, ethnicity, marital status) and/or socioeconomic status (education level, income/occupational). |
6 weeks |
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