Using Big Data to Conduct Innovative Cardiovascular Clinical Trials

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.

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Étude parrainée par

Institute for Clinical Evaluative Sciences

Participants recherchés

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ID de l'étude: NCT04067297