Using Big Data to Conduct Innovative Cardiovascular Clinical Trials: The Community Heart Outcomes Improvement and Cholesterol Education Study (CHOICES)
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 500,000
- 试验地点
- 2
- 主要终点
- Number of 66 -75 year old patients who filled a statin prescription
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Health Services Research
- 盲法
- Double (Investigator, Outcomes Assessor)
盲法说明
The participants and care providers will be masked to what communities are enrolled in the trial, but due to the large scale study promotion that is required for dissemination, they may be aware that the resources they are receiving are part of an ongoing clinical trial. The principal investigator and a statistician will be blinded from which communities are assigned to which arm.
入排标准
- 年龄范围
- 40 Years 至 75 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •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
排除标准
- •Patients with established CVD within each community
结局指标
主要结局
Number of 66 -75 year old patients who filled a statin prescription
时间窗: 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.
次要结局
- Rate of 40-75 year old patients receiving lipid screening(3 years)
- Incidence of revascularization procedures, AMI, stroke, or CVD death (general CVD outcome)(3 years)
- Number of lipid-related visits to primary care physicians(3 years)
- Number of 66-75 year old patients who adhered to a statin prescription(3 years)
- Incidence of Diabetes Mellitus (DM)(3 years)
- Incidence of Acute Myocardial Infarction (AMI), stroke or CVD death (major CVD outcome)(3 years)
研究者
Dr. Jacob Udell
Co-Principal Investigator
Institute for Clinical Evaluative Sciences