Evidence map›Paper›PMID 42585385›Full record

Observational studyCritical care science2026

The impact of socio-economic status on outcomes after unplanned intensive care unit admissions in Australia: a retrospective observational cohort study.

Sing Chee Tan, Daniel Capurro, David Pilcher

Abstract readObservational Study
In one paragraph

Observational study in Critical care science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sing Chee TanDepartment of Intensive Care Medicine, Northern Hospital Epping - Epping, Victoria, Austria.ORCID http://orcid.org/0000-0002-5301-5914
Daniel CapurroCentre For Digital Transformation of Health, University of Melbourne - Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-9256-1256
David PilcherDepartment of Intensive Care, Alfred Hospital - Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-8939-7985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the association between socioeconomic status and patient outcomes following unplanned intensive care unit admissions in Australia, using national data linked across public databases.

methodsWe conducted a national retrospective cohort study of all adult unplanned intensive care unit admissions in Australia between January 2017 and December 2019, using data from the Australian and New Zealand Intensive Care Society Adult Patient Database. Socioeconomic status was determined using the Australian Bureau of Statistics' 2016 Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD), linked by patient postcode. The primary outcome was hospital mortality, adjusted for severity of illness, remoteness, year of admission, and intensive care unit, using a mixed-effects logistic regression model.

resultsA total of 245,867 intensive care unit admissions were included. Patients in the most disadvantaged quartile were less likely to be treated in tertiary or private hospitals. Still, there was otherwise no significant difference in demographic profile, intensive care unit interventions received, or reasons for admission. In the multivariate analysis, there were no significant differences in adjusted hospital mortality across IRSAD deciles (p = 0.3). DISCUSSION: In this national study, socioeconomic status was not associated with hospital mortality after adjustment for illness severity and hospital factors. These findings suggest that structural health system features, such as universal access to critical care in Australia, may mitigate the adverse effects of socioeconomic disadvantage among unplanned intensive care unit outcomes observed in other health systems. Further research is warranted to explore the pathways linking socioeconomic status, health access, and intensive care unit admission characteristics.

Indexed as

Hospital MortalityIntensive Care UnitsSocial ClassAdultAgedAustraliaFemaleHumansLow Socioeconomic StatusMaleMiddle AgedRetrospective StudiesSocioeconomic Disparities in Health

Identifiers

PMID42585385
PMCPMC13518017

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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.