There is an expressed need of Māori providers and communities for high quality, localised information that can be used to inform and monitor interventions to improve key Maori health outcome measures. Te Hao Nui is a longitudinal study that will link together the data from Te Kupenga, the Integrated Data Infrastructure (IDI), and the Longitudinal Census Database to create the world’s largest and most comprehensive indigenous longitudinal study capable of following individual pathways forwards and backward in time.
Funded by: Health Research Council
Grant number: 18/849
The study entirely draws on previously collected administrative data, no new data are collected as part of this project.
Focusing on informing local interventions and policy, this project will transform national statistics into locally accessible information linked into service delivery planning and evaluation at the iwi, rohe as well as at the regional level.
Linking into existing iwi and regional Māori development plans, this project will produce information that will immediately inform the delivery of services and interventions to improve rangatahi wellbeing.
It will additionally create a permanent resource within the official statistics system that can be used for research, evaluation, and monitoring of rangatahi well-being on an on‐going basis.
Calculating and comparing health or social statistics for populations can be tricky, time consuming and usually requires advanced statistical skills.Mātau is an easy to learn tool that enables rapid calculation and comparison of robust population statistics without additional software or specialist statistical skills. No statistical calculation or coding are required to produce tables, graphs and even maps.
Funded by: iNZight Analytics
It can be used for any outcome statistics in any geographical area or time period using either aggregate data (counts) or unit record file data. Comparisons can be made between population outcomes over time, between regions or by ethnicity, age or sex. Pull down menus and interactive graphics are used to producing statistically robust calculations and comparisons including confidence intervals. Multiple options for analysis can be selected from the menu if required but the default setting on menus is the standard approach allowing Mātau produces results in the form of tables, graphs and maps with all output exportable in multiple formats so they can be easily included in offline reports.
An early version of Mātau was used for estimation of regional ethnic- and age-specific COVID-19 outcomes near the beginning of the pandemic in early 2020, and presented to the New Zealand Government for policymaking. The Mātau app is currently being redeveloped using updated Ministry of Health data.
It’s a common aspiration for our children to do better in life than we do. This upward social mobility between one generation and the next benefits not only the families but also the country as a whole. Increasing levels of education, skills and income contribute to a more prosperous economy and a wealthier society. Being able to identify the things that support increased education, skills and income is the first step towards investing in actions that will increase the country’s wealth within a single lifetime.
Funded by: Ministry of Business, Innovation, and Employment
Contract number: ZANAL2501
This research uses New Zealand’s high-quality data resources to look at what things support upward social mobility and what things restrict that mobility. The quality of New Zealand’s data allows this research to look at the national picture as well as focus on specific populations such as Māori and rural communities. The results of this work will help guide investments in policies and programs that create pathways to better economic circumstances for New Zealanders and a more prosperous economy. This work will also support the development of an internationally important research industry based on New Zealand’s world leading data resources.
This project is funded from 2025 - 2028 by the Ministry of Business, Innovation, and Employment Smart Ideas grant. It is led by iNZight Managing Director Andrew Sporle and Senior Researcher Nicole Satherley, in collaboration with Barry Milne and Natalia Boven of the COMPASS Research Centre.
iNZight Analytics assists with data system and analysis design for the ongoing Dunedin Multidisciplinary Health and Development Study, (also known as the the Dunedin Study), and is looking to help extend the study into other research projects both nationally and internationally.
The Dunedin Study is a long-running, multidisciplinary longitudinal study of human health, development, and behaviour, following 1,037 people born in Dunedin, New Zealand in 1972–73 from birth. Based at the University of Otago, it has produced more than 1,300 publications alongside national and international collaborators.
Funded by: The Health Research Council of New Zealand (HRC)
Grant number: 24-690
Hosted by: The University of Otago
From the grant: The Dunedin Study will extend its highly productive longitudinal study of life-course factors affecting the Aging Process, whereby 994 living Study members aged 52 will be re-assessed in 2024-2026. We will examine Māori health, including mental health and treatment inequities, by combining data with the Christchurch Health and Development Study to create the most intensively studied cohort of Māori followed from birth to midlife. We will examine the breadth of chronic conditions and disabilities among Study members to meet the needs of disabled people with their input. We will investigate how the lives (social, psychological, physical) of Study members have changed since the onset of the COVID-19 pandemic. Our research will inform early intervention efforts and new diagnostic tools to support healthy aging. Working with next- and end-users, we will provide robust data to inform the provision of optimised healthcare for people with chronic conditions or disability.
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