Using big data to improve cardiovascular care

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This study aims to enhance the management of cardiovascular diseases by utilizing big data to conduct a pragmatic, cluster randomized trial. It focuses on communities in Ontario with high rates of cardiovascular events and implements a multicomponent intervention strategy to improve lipid management among individuals aged 40 to 75. By leveraging routinely collected health information, the study seeks to increase the use of cholesterol-lowering statin drugs to prevent heart attacks and strokes. The approach addresses the limitations of traditional clinical trials by applying real-world data to measure outcomes effectively.

Why it matters

Who can join: the full rules

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

Where it's running

• Ices
  Toronto, Ontario, Canada Recruiting

Study contacts

• Principal investigator: Jacob A Udell, MD, MPH, FRCPC — ICES; Women's College Hospital; Peter Munk Cardiac Centre, Toronto General Hospital; University of Toronto
• Study coordinator: Shalane R Basque, MSc
• Email: shalane.basque@ices.on.ca
• Phone: 4165799339

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.