Patient-Perceived Versus
Conditions
Keywords
Cardiovascular Disease, lipid-lowering therapy
Brief summary
Cardiovascular prevention guidelines use estimated 10-year atherosclerotic cardiovascular disease (ASCVD) risk to guide treatment decisions and engage patients in shared decision-making. Research has focused on refining the accuracy of these CV risk calculators for different populations, relatively little has been done to understand how patients perceive their own ASCVD risk. Accurate perception of a patient's risk by both the patient and the doctors is important because this is an important determinant of health-related behaviour. Patients often show optimistic bias when considering their own CV risk and consistently underestimate it. We aim to determine patient perceived versus actual risk of ASCVD in a Chinese population. We aim to better understand the degree to which patients underestimate or overestimate their ASCVD risk and whether patients are better or worse at estimating their ASCVD risk relative to their peers of the same age and sex. Finally, we aim to evaluate patients willingness to follow guideline recommended CV prevention and specifically lipid-lowering therapy.
Detailed description
Cardiovascular prevention guidelines use estimated 10-year atherosclerotic cardiovascular disease (ASCVD) risk to guide treatment decisions and engage patients in shared decision-making. Research has focused on refining the accuracy of these CV risk calculators for different populations, relatively little has been done to understand how patients perceive their own ASCVD risk. Accurate perception of a patient's risk by both the patient and the doctors is important because this is an important determinant of health-related behaviour. Patients often show optimistic bias when considering their own CV risk and consistently underestimate it. We aim to determine patient perceived versus actual risk of ASCVD in a Chinese population. We aim to better understand the degree to which patients underestimate or overestimate their ASCVD risk and whether patients are better or worse at estimating their ASCVD risk relative to their peers of the same age and sex. Finally, we aim to evaluate patients willingness to follow guideline recommended CV prevention and specifically lipid-lowering therapy.
Interventions
OTHERCardiovascular prevention guidelines
Cardiovascular prevention guidelines use estimated 10-year atherosclerotic cardiovascular disease (ASCVD) risk to guide treatment decisions and engage patients in shared decision-making
Sponsors
Gormin Tan gtan
Chinese University of Hong Kong
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
40 Years to 90 Years
Healthy volunteers
No
Inclusion criteria
1. Aged 40 years and above 2. Consent to complete questionnaire 3. Lipid profile within 12 months
Exclusion criteria
1. Known ASCVD defined as history of coronary heart disease (i.e. obstructive coronary disease, prior myocardial infarction, or prior coronary revascularization); cerebrovascular disease (i.e. stroke or transient ischemic attack); and peripheral arterial disease (i.e. obstructive peripheral disease, prior vascular amputation or prior revascularization) 2. Other chronic illness with life-expectancy \<12 months
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Evaluate correlation between patients' own estimates of their 10-year risk of heart disease or stroke with actual pooled-cohort-equation calculated risk estimates (using a validated CV risk calculation app). | 12-months |
Secondary
| Measure | Time frame |
|---|---|
| Source of CV health information and advice | 12-months |
| Evaluate correlation between perceived and calculated 10-year CV risk in sub-groups based on age, sex, education level, known CV risks (e.g. smoking, diabetes, hyperlipidemia and hypertension | 12-months |
| Reasons for unwillingness to follow recommendations for CV preventions | 12-months |
| Evaluate patients' willingness to follow recommendations for CV prevention based on their calculated 10-year CV risk profile (e.g. dietary, exercise, smoking and CV risk factor control) | 12-months |
| Evaluate whether perceived or actual CVD risk is associated with current statin use or willingness to take statin. | 12-months |
| Evaluate patients' own estimates of 10-year CV risk relative to their peers using age- and sex-specific population risk percentiles. | 12-months |
Countries
Hong Kong
Contacts
Primary ContactDaniel Xu
Outcome results
None listed