The PREDICT-CVD cohort was established in 2002 when a web-based cardiovascular disease (CVD) risk assessment and management decision support system (called ‘PREDICT’) was developed for primary care. PREDICT is integrated with general practice electronic health records (EHRs) and incorporates data collection into clinical workflow. When clinicians use PREDICT during a patient visit, risk scores and evidence-based treatment recommendations tailored to the patient’s CVD and diabetes profile are computed and displayed. The PREDICT software was initially implemented in general practices in Auckland and is now available in approximately 35 to 40% of New Zealand primary care practices. These are mainly in the Auckland and Northland regions, serving around 1.6 million people and representing around 35% of the New Zealand resident population.
Study design
Registry, Cohort - clinical, Cohort - open
Number of participants at first data collection
~1,600,000 (participants as of 2017)
Recruitment is ongoing
Age at first data collection
Varied (participants)
Participant year of birth
Varied (participants)
Participant sex
All
Representative sample at baseline?
The 55 to 74 years age group within this cohort is largely representative of the age, sex, and ethnicity distribution of the Auckland and Northland regions of New Zealand. Other age groups are not representative.
Sample features
Country
Year of first data collection
2002
Primary Institutions
University of Auckland
Links
No website available
Profile paper DOI
Funders
Health Research Board (HRB)
Ongoing?
Yes
Data types collected
Engagement
Keywords