NZ has some of the best linked health and social data in the world. NZ has one of the highest per capita density of epidemiologists in the world. Therefore, shouldn’t we be undertaking more big data, big impact, research?
The Big Health Data for Epidemiology workshop will provide the opportunity to hear about and discuss emerging opportunities for future research that utilises routine health, social and administrative data accessible in the rapidly expanding Statistics NZ Integrated Data Infrastructure (IDI), and other research data based (e.g. PREDICT/VIEW). The IDI combines information from a wide range of government data sources (health, education, tax and revenue).
The potential for more high impact epidemiological (and health services) research for, and from, NZ is clear. To realise this potential, we need to upskill, understand data access issues, share metadata and derived variables, and learn from researchers that have gone before – and help researchers coming after. This workshop aims to contribute to this kaupapa.
About the workshop
- Outline key elements of the SNZ IDI in terms of what data is included, issues of privacy, ethics and data protection
- Outline current research (and the research agendas) and collaborations of academics and researchers who are and will be using the IDI
- Giving examples of research question formulation, methods, collaborative tools for sharing code, meta data, and derived variables for research:
- Conducted in the SNZ IDI
- Conducted without (e.g. PREDICT/VIEW, Pharmacoepidemiology Research Network, Injury Prevention Research Unit)
- Exemplars, comparisons and discussions of potential methodological approaches that take advantage of the high quality linked data.
An overview of the rationale, development and potential of the Virtual Health Information Network (VHIN) can be found in a Options Paper and Implementation Plan that was prepared in April 2015.
|0900-0930||Introduction to the day, and overview by Statistics NZ of the Integrated Data Infrastructure|
|1100-1230||Collaboration, Sharing Best Practice and Developing the Virtual Health Information Network (VHIN). This session will:|
- overview the VHIN, and options for a VHIN ‘charter’
- briefly overview of projects underway in 2016 under the VHIN
- make the case that we have the data to be world leaders in NZ, but we now also need to apply cutting edge methods
- invite discussion and feedback
|1330-1500||Challenges, Ground Work Required and Motivation for Using IDI: Examples of Work Underway|
A series of 15 minute snapshot presentations on epidemiological research underway in the IDI.
|1530-1700||Existing Epidemiological Data Projects: Lessons Learnt for Future Research|
More brief snapshot presentations, plus concluding discussions about the next steps for the VHIN and related activities.
For a more detailed timetable download this PDF - detailed timetable
For details of the presentations and information on the speakers download this PDF - blurbs and bios
Copies of presentations (listed in order of the day)
- Tony Blakely (University of Otago, Wellington) - Big Health Data for Epidemiology: opportunities and challenges using the SNZ IDI and other sources of “big data” for epidemiological research in NZ
- Anna McDowell and Deb Potter (Statistics NZ) - Integrated Data Infrastructure
- Simon Ross (Ministry of Health) - VHIN
- Jeroen Douwes (Massey University) - Three examples of research projects which will use IDI data facilitated by VHIN
- Suneela Mehta (University of Auckland) - Construction and use of the VARIANZ 2006 health service contact population
- Andrea McDonald (University of Otago, Wellington) - Healthier Lives Science Challenge and the Virtual Health Information Network
- Andrew Sporle (University of Auckland) - Data, Development and Sovereignty
- Rick Audas (University of Otago) - A Better Start - Big Data
- Lianne Parkin (University of Otago) - Using routinely collected data for pharmacoepidemiological studies: what is possible?
- Sylvia Dixon (The Treasury) - The employment and income effects of eight selected health conditions
- Barry Milne (University of Auckland) - Household and family units in the IDI
- Daniel Exeter (University of Auckland) - Vascular Informatics using Epidemiology & the Web: VIEW
- Gabrielle Davie (University of Otago) - Monitoring the incidence of injury using administrative data: Proceed with caution!
- Michael Baker (University of Otago) - Linked data for research on infectious diseases, environment, housing and health
- Steven Johnson (Ministry of Health) - Ministry of Health analysis using the IDI: First steps, future plans