Evidence map›Paper›PMID 41562270›Full record

ArticleHealth promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals2026

Reducing Health Inequities in Australia: The Role of Place-Based Action and Spatial Data Infrastructure.

Jonathan R Olsen, Mark Robinson, Jonathan Corcoran, Lisa McDaid

Abstract read
In one paragraph

Article in Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Reducing Health Inequities in Australia: The Role of Place-Based Action and Spatial Data Infrastructure.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jonathan R OlsenInstitute for Social Science Research, The University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0002-5356-8615
Mark RobinsonInstitute for Social Science Research, The University of Queensland, Brisbane, Australia.
Jonathan CorcoranSchool of the Environment, The University of Queensland, Brisbane, Australia.
Lisa McDaidInstitute for Social Science Research, The University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0002-7711-8723

Funding

University of Queensland
6 · The paper itself

Abstract

Australia holds one of the world's highest life expectancies, yet stark geographic inequities persist. In Queensland, the gap in median age of death between communities only 85 km apart reaches 26 years for men and 22 years for women. While national policies increasingly endorse "health-in-all-policies" and place-based approaches, their impact depends on the ability to identify, target and monitor inequities at fine geographic scales. Spatially referenced data and analytic techniques provide a critical foundation for this work, enabling baseline assessments, tailored interventions, and rigorous evaluation. To fully realise this potential, commonwealth and federal governments must commit to sharing spatially open data, invest in capacity-building for its use, and foster transdisciplinary collaboration. Without these supports, the promise of place-based health perspectives to tackle health inequities will remain unrealised.

Indexed as

Health Status DisparitiesAustraliaFemaleHumansLife ExpectancyMaleQueenslandAustraliahealth inequitieslife expectancymedian age of deathplace‐based healthspatial inequities

Identifiers

PMID41562270
PMCPMC12820910

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.