Using Big Data to Conduct Innovative Cardiovascular Clinical Trials

March 24, 2026 updated by: Dr. Jacob Udell, Institute for Clinical Evaluative Sciences

Using Big Data to Conduct Innovative Cardiovascular Clinical Trials: The Community Heart Outcomes Improvement and Cholesterol Education Study (CHOICES)

Traditional randomized clinical trials (RCTs) have provided extremely valuable information on medical therapies and procedures that have changed the way heart diseases are treated. However, despite these contributions, traditional RCTs are costly, the findings may not be applicable to patients unlike those in the study, and the use of trial findings may be infrequent. These limitations may be addressed by incorporating 'big data' in RCTs, which is the emerging field using electronic information that is routinely collected in various large administrative health databases. The Community Heart Outcomes Improvement and Cholesterol Education Study (CHOICES) will test the potential of using 'big data' in a 'real-world' clinical trial to measure outcomes using routinely collected health information. CHOICES aims to increase the use of cholesterol-lowering statin drugs to prevent heart attack and stroke in high-risk health regions across Ontario using a 'toolbox' of interventions. The 'toolbox' of interventions are informational strategies targeted for both patients and family physicians to help improve cholesterol management and contribute to shared decision making for heart healthy goals.

Study Overview

Status

Active, not recruiting

Intervention / Treatment

Detailed Description

An estimated 19,500 cardiac events could be prevented each year in Canada by use of statin therapy as recommended in the Canadian Cardiovascular Society's Lipid Guidelines. Despite substantial evidence supporting statin use, several studies suggest dyslipidemia management in Canada remains suboptimal. In Ontario, prior work using the 2008 Cardiovascular Health in Ambulatory Care Research Team (CANHEART) 'big data' registry of almost the entire Ontario population of 9.8 million adults created through linkage of 17+ population health databases at ICES, has documented an approximate 2-fold variation across the province in cardiovascular events that is associated with performance of key cardiovascular preventive measures, particularly lipid screening and statin prescribing. This work noted that the variation did not have a clear association with traditional clinical risk factors or socioeconomic conditions. This observation suggests that heterogeneity in this care process may be modifiable with an intervention geared to improving adherence to national guidelines.

In this pragmatic, cluster randomized registry trial, 'big data' is used to test the 'real world' effectiveness of a tailored, multicomponent intervention strategy aimed at improving lipid management (screening, risk assessment, statin initiation, statin adherence) amongst a primary prevention cohort of 40 to 75 year olds individuals living in 14 (of 28) communities in Ontario with higher than average rates of cardiovascular events. A multicomponent intervention strategy will include a 'toolbox' of lipid management resources for both patient and physicians in the intervention (high-risk) communities of the province. The intervention strategy will include tools to enable patients and physicians to make informed and shared decisions about statin therapy and will be implemented in the intervention communities using targeted local and social media strategies. Patient characteristics for those aged 40 to 75 and clinical outcomes in this study will be measured without primary data collection using the 2016 CANHEART 'big data' registry, with the exception of stain use and adherence data available only in adults 66 to 75 years old.

Study Type

Interventional

Enrollment (Estimated)

500000

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Ontario
      • Toronto, Ontario, Canada, M4N3M5
        • ICES

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

40 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

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

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: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Control 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.
Experimental: Intervention Arm
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.
The intervention toolbox will include: 1) community-level report cards on lipid management (developed using an updated version of the 2016 CANHEART 'big data' registry of ~10.9 million adults created through linkage of 19+ population health databases) to distribute to family physicians, 2) printed and electronic patient education materials on cholesterol screening and management, 3) a new online clinical decision aid to facilitate shared decision-making between patients and their family physicians regarding statin utilization, 3) patient educational videos, and 4) physician educational videos and material.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of 66 -75 year old patients who filled a statin prescription
Time Frame: 3 years
Proportion of FRS determined intermediate- and high-risk residents (aged 66 to 75) in each community who filled a statin prescription within 100 days, as measured by the CANHEART registry at the completion of the 3 year intervention period.
3 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of lipid-related visits to primary care physicians
Time Frame: 3 years
The number of lipid-related visits to primary care physicians for the primary prevention cohort of 40 to 75 year olds in each community.
3 years
Number of 66-75 year old patients who adhered to a statin prescription
Time Frame: 3 years
Adherence rates to statins in FRS determined intermediate- and high-risk statin users 66 to 75 year olds in each community. Adherence will be measured at 1.2 times the prescription length.
3 years
Rate of 40-75 year old patients receiving lipid screening
Time Frame: 3 years
Proportion of 40 to 75 year olds in the primary prevention cohort for each community receiving lipid screening from lab data.
3 years
Incidence of Acute Myocardial Infarction (AMI), stroke or CVD death (major CVD outcome)
Time Frame: 3 years
The proportion of AMI, stroke or CVD death in the primary prevention cohort of 40 to 75 year olds in each community, along with the individual components of these incident composite outcomes.
3 years
Incidence of revascularization procedures, AMI, stroke, or CVD death (general CVD outcome)
Time Frame: 3 years
The proportion of AMI, stroke, or CVD death in addition to revascularization procedures in the primary prevention cohort of 40 to 75 year olds in each community, along with the individual components of these incident composite outcomes.
3 years
Incidence of Diabetes Mellitus (DM)
Time Frame: 3 years
The incident rates of DM in 40 to 75 year olds in the primary prevention cohort of 40 to 75 year olds in each community.
3 years

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Jacob A Udell, MD, MPH, FRCPC, ICES; Women's College Hospital; Peter Munk Cardiac Centre, Toronto General Hospital; University of Toronto
  • Principal Investigator: Michael Farkouh, MD, FRCPC, FACC, FAHA, Peter Munk Cardiac Centre, Toronto General Hospital; University of Toronto

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the 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 (Actual)

October 1, 2019

Primary Completion (Estimated)

July 1, 2027

Study Completion (Estimated)

December 31, 2027

Study Registration Dates

First Submitted

August 8, 2019

First Submitted That Met QC Criteria

August 22, 2019

First Posted (Actual)

August 26, 2019

Study Record Updates

Last Update Posted (Actual)

March 27, 2026

Last Update Submitted That Met QC Criteria

March 24, 2026

Last Verified

March 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • 2019-008-E
  • 151211 (Other Grant/Funding Number: Canadian Institutes of Health Research)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

All data will be presented in aggregate, with no individual participant data sharing.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

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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