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PREDICT Cardiovascular Disease Cohort in New Zealand Primary Care (PREDICT-CVD)
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Sample details

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

Patients and clinical populations
Dataset details

Country

New Zealand

Year of first data collection

2002

Primary Institutions

University of Auckland

Links
No website available

Profile paper DOI

academic.oup.com/ije/article/46/1/22/3038116

Funders

Health Research Board (HRB)

Ongoing?
Yes

Data types collected

dataLinkage
Quantitative data collection
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
Features

Engagement

  • None
  • Keywords

    Cardiovascular health and disease
    Diabetes
    Physical health
    Risk factors
    Sub-studies
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