Using Big Data to Conduct Innovative Cardiovascular Clinical Trials
Cardiovascular Diseases, Cardiovascular Risk Factor, Dyslipidemias
About this trial
This is an interventional health services research trial for Cardiovascular Diseases focused on measuring Primary Prevention, Cardiovascular disease, Lipids, Statins, Lipid management, Lipid screening
Eligibility Criteria
Inclusion Criteria:
- Community with CVD incidence rates higher than the Ontario provincial average
- Community with a population size greater than 5,000 40 to 75 year olds
- Community with at least 1,000 66 to 75 year olds
- Community with 20 to 130 active and practicing family physicians
Exclusion Criteria:
- Patients with established CVD within each community
Sites / Locations
- ICESRecruiting
Arms of the Study
Arm 1
Arm 2
No Intervention
Experimental
Control Arm
Intervention Arm
The 14 communities that are in the control arm of the trial will receive usual standard of care. The usual standard of care will follow clinical daily practice patterns provided by family physicians in Ontario for CVD prevention. This follows the periodic standard of care provided by Canadian cholesterol, hypertension, and diabetes best practice guideline recommendations utilized based on each physician's clinical judgement, physical assessment, and discretion. Patients also typically have access to existing cardiovascular prevention materials offered online through publicly available websites.
The 14 communities that are in the intervention arm of the trial will receive a multicomponent intervention that provides both physicians and patients with access to a 'toolbox' of lipid management resources. The components planned for the 'toolbox' are all evidence-based interventions and chosen after consultations with Canadian family physicians and implementation science experts based on their potential for scalability to the entire population, cost and practicality. Online tools will be used and the trial will leverage pre-existing implementation initiatives (e.g., newsletters, listservs) wherever possible to minimize study costs and increase accessibility.