ArticleBMJ global health2023
Democratising data to address health system inequities in Australia.
Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- The Flow of Healthcare Information in Rural and Remote Settings: A Qualitative Approach.Journal of evaluation in clinical practice · 2026Article
- Article
- Article
- Using archival employee data to examine retention patterns for healthcare workers in non-metropolitan Australia: a survival analysis.BMC health services research · 2025Article
- Community Rehabilitation for Rural and Remote Australia: Measuring What Matters Based on the International Classification of Functioning, Disability and Health (ICF): A Scoping Review.The Australian journal of rural health · 2025Article
- The final frontier: using carcasses for one health surveillance at the ecosystem interface.Frontiers in veterinary science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the health status of a population or community is crucial to equitable service planning. Among other uses, data on health status can help local and national planners and policy makers understand patterns and trends in current or emerging health and well-being, especially how disparities relating to geography, ethnicity, language and living with disability influence access to services. In this practice paper we draw attention to the nature of Australia's health data challenges and call for greater 'democratisation' of health data to address health system inequities. Democratisation implies the need for greater
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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.