Evidence map›Paper›PMID 42576347›Full record

ArticleThe Australian and New Zealand journal of psychiatry2026

Predictors of health service use within an Indigenous Australian sample for issues related to their mental health: An analysis from the Queensland Urban Indigenous Mental Health Survey.

Tabinda Basit, Damian Santomauro, Xiaoyun Zhou, Yan Liu, Shuichi Suetani, Randall Frazer Bidjara Nation, Xiang-Yu Hou, Roxanne Bainbridge Gunggari/Kunja Nations, Harvey Whiteford, Alize Ferrari

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Article in The Australian and New Zealand journal of psychiatry, 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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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Tabinda BasitQueensland Centre for Mental Health Research, Wacol, Australia.ORCID 0000-0003-4667-5049
Damian SantomauroQueensland Centre for Mental Health Research, Wacol, Australia.
Xiaoyun ZhouQueensland Centre for Mental Health Research, Wacol, Australia.
Yan LiuSchool of the Environment, The University of Queensland, Brisbane, Australia.
Shuichi SuetaniInstitute for Urban Indigenous Health, Brisbane, QLD, Australia.
Randall Frazer Bidjara NationInstitute for Urban Indigenous Health, Brisbane, QLD, Australia.
Xiang-Yu HouDepartment of Rural Health, Broken Hill University, NSW, Australia.
Roxanne Bainbridge Gunggari/Kunja NationsCentre of Excellence for Indigenous Futures, The University of Queensland, Brisbane, Australia.
Harvey WhitefordQueensland Centre for Mental Health Research, Wacol, Australia.
Alize FerrariQueensland Centre for Mental Health Research, Wacol, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the associations between sociodemographic and cultural predictors of health service use among Aboriginal and Torres Strait Islander communities (respectfully referred to as Indigenous Australians) in Southeast Queensland with mental health concerns.

methodQueensland Urban Indigenous Mental Health Survey data was analysed to investigate predictors of health service use within an adult sample of Indigenous Australians who experienced (a) elevated psychological distress or (b) a mental disorder or harmful substance use. Sociodemographic, cultural, and mental health predictors were quantified. A series of logistic regression models were used to explore the association between predictors and health service use.

resultsFor those with elevated psychological distress, male sex, greater self-perceived physical health, and larger social support networks were associated with decreased likelihood of health service access, while greater comorbidity and frequent experiences of racism were associated with increased likelihood. For those experiencing a mental disorder or harmful substance use, greater self-perceived physical health was associated with decreased likelihood of service access, while greater comorbidity was associated with increased likelihood. Age approached significance as a predictor of increased access. Service preference was not a statistically significant predictor in either group.

conclusionDifferences in predictors between those with elevated psychological distress and those with mental disorders or harmful substance use underscore the importance of recognising the heterogeneity within Indigenous Australian populations and tailoring health service planning and delivery approaches accordingly for issues related to mental health.

Indexed as

Australian Aboriginal and Torres Strait Islander PeoplesHealth Services, IndigenousMental DisordersMental Health ServicesPatient Acceptance of Health CareAdolescentAdultFemaleHealth Services AccessibilityHealth SurveysHumansMaleMiddle AgedPsychological DistressQueenslandSubstance-Related DisordersAboriginal and Torres Strait Islandermental disorderpsychological distressservice usesubstance use

Identifiers

PMID42576347
PMCPMC13620262

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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.