VIEW 2020: A programme of vascular risk prediction and risk management research Event as iCalendar

(COMPASS Research Centre)

29 September 2016

4 - 5pm

Venue: Room 107, Fale Pasifika Complex (273-107)

Contact info: Martin von Randow

Contact email:

Website: COMPASS

Professor Rod Jackson, University of Auckland

VIEW stands for Vascular risk, Informatics, Epidemiology & the Web. The objectives of the VIEW research programme are to improve the accuracy of vascular risk prediction and identify and help close evidence-practice gaps in vascular risk management, at both the individual patient and population levels.

The focus of the VIEW research programme is on developing and applying Vascular risk prediction tools, because the absolute benefits of most vascular risk reducing interventions depend on patients’ absolute vascular risk, but there are few accurate risk prediction tools available and even fewer have been validated in New Zealand populations.

VIEW is an Informatics programme because risk prediction research requires very large numbers of participants and we link our participant data to even larger national and regional routine health datasets.

The main study design used in the VIEW programme is the large-scale prediction/prognostic cohort study – a classic Epidemiological study design.

VIEW investigators have recruited hundreds of thousands of patients by developing Web-based clinical tools that help primary and secondary care clinicians manage their patients’ vascular risk while simultaneously recruiting large-scale research cohorts.

This presentation will describe the design of, and present interim findings from, the three cohort studies established by the VIEW investigators; one in primary care (PREDICT), one in secondary care (ANZACS-QI) and one that includes almost every New Zealand adult (VARIANZ).

Rod Jackson is a professor of epidemiology at the University of Auckland with 35 years of experience in vascular disease epidemiology. For the last 25 years his main research focus has been on vascular risk prediction.


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