ReviewJournal of the Royal Society of New Zealand2022
Longitudinal research in Aotearoa New Zealand using the Integrated Data Infrastructure: a review.
Review in Journal of the Royal Society of New Zealand, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- A large national cohort study exploring the association between small for gestational age birthweight and educational achievement in secondary school.European journal of pediatrics · 2026Article
- The Vital Role of Research in Transforming Mental Health in Aotearoa New Zealand.Journal of the Royal Society of New Zealand · 2026Article
- Early life antibiotic-use and risk of childhood type 1 diabetes: a nationwide cohort study utilising data linkage.Pediatric diabetes · 2026Article
- New Zealand Electronic Health Data for Cardiovascular Research: A Review.Clinical epidemiology · 2026Review
- Māori and the Integrated Data Infrastructure: an assessment of the data system and suggestions to realise Māori data aspirations [Te Māori me te Integrated Data Infrastructure: he aromatawai i te pūnaha raraunga me ngā marohitanga e poipoia ai ngā wawata raraunga Māori].Journal of the Royal Society of New Zealand · 2024Review
- A better start national science challenge: supporting the future wellbeing of our tamariki E tipu, e rea, mō ngā rā o tō ao: grow tender shoot for the days destined for you.Journal of the Royal Society of New Zealand · 2023Review
- Longitudinal research in Aotearoa New Zealand.Journal of the Royal Society of New Zealand · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Integrated Data Infrastructure (IDI) is a collection of deidentified whole population administrative datasets, linked at the individual level, and made available through Stats NZ for 'public good' research. This paper reviews longitudinal research that has been undertaken using the IDI, and highlights the strengths, weaknesses, opportunities, and threats of using the IDI for longitudinal research. It is argued that the IDI can and has been used for longitudinal research that would be difficult or impossible to undertake without a resource such as the IDI, including longitudinal research involving small, sometimes marginalised populations, research involving intergenerational research and quasi-experimental family designs, and research investigating residential variations in the natural environment. However, issues regarding ethical governance need addressing. Researchers wishing to use the IDI should familiarise themselves with its limitations, particularly around what service use data capture and what this represents, what is missed by assessing only deficit-focused data, and the variable quality of the data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.