ReviewInternational journal of population data science2019
The Population Health Research Network - Population Data Centre Profile.
Review in International journal of population data science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- What makes administrative data "research-ready"? A systematic review and thematic analysis of published literature.International journal of population data science · 2022Pooled it
- The changing face of Australian data reforms: impact on pharmacoepidemiology research.International journal of population data science · 2021Pooled it
- Health-related quality of life among adults with chronic diseases: a linked, retrospective cohort study using the EQ-5D-5L in Queensland, Australia.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- Child Health Research Using linked Multi-domain Canadian Administrative Data: A Scoping Review.International journal of population data science · 2026Article
- [Research Data Center on Health - Vision for Further Development from the Research Perspective].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2023Article
- Advancing cross-sectoral data linkage to understand and address the health impacts of social exclusion: Challenges and potential solutions.International journal of population data science · 2023Article
- Generating Real-World Evidence on the Quality Use, Benefits and Safety of Medicines in Australia: History, Challenges and a Roadmap for the Future.International journal of environmental research and public health · 2021Review
- Data Linkage in Australia: The First 50 Years.International journal of environmental research and public health · 2021Review
- The SPOR-Canadian Data Platform: a national initiative to facilitate data rich multi-jurisdictional research.International journal of population data science · 2020Article
- Toward a Risk-Utility Data Governance Framework for Research Using Genomic and Phenotypic Data in Safe Havens: Multifaceted Review.Journal of medical Internet research · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Population Health Research Network (PHRN) is an Australian data linkage infrastructure capable of securely and safely linking and integrating data collections from a wide range of sources. It is an example of a national data linkage infrastructure in a country with a federated system of government. This population data centre profile describes Australia's unique approach to enabling access to linked data from single jurisdictions and from multiple jurisdictions. It covers the background to the establishment of the PHRN as well as information about how it operates today including operating models, governance, data, data linkage and data access. Some of the challenges of data linkage across jurisdictions are also discussed.
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.