Using Big Data to Conduct Innovative Cardiovascular Clinical Trials

Institute for Clinical Evaluative Sciences

Status: Enrolling

Conditions: Dyslipidemias; Cardiovascular Diseases; Cardiovascular Risk Factor

Treatments: Other: Lipid management toolbox

Study type: Interventional

Funder types: Other

Identifiers

NCT04067297

2019-008-E

151211 (Other Grant/Funding Number)

Details and patient eligibility

About

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.

Full 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.

Enrollment: 500,000 estimated patients

Sex: All

Ages: 40 to 75 years old

Volunteers: Accepts Healthy Volunteers

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

Trial design

Primary purpose: Health Services Research

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Double Blind

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500,000 participants in 2 patient groups

Control Arm

No Intervention group

Description:

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.

Intervention Arm

Experimental group

Description:

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.

Treatment:

Other: Lipid management toolbox