Socio-spatial inequalities in accessibility of Indigenous community-controlled mental health services in South East Queensland, Australia.

Abstract

Background: Mental disorders significantly burden Indigenous communities, worsened by limited culturally appropriate services. Spatial inequalities in access further disadvantage Indigenous peoples, especially in socio-economically challenged areas. This paper measures the spatial accessibility of Indigenous community-controlled mental health services in South East Queensland, Australia and examines its social inequalities across the region.

Methods: We considered both population and health service providers' capacity to maximise service coverage in measuring potential access to the services. Using Geographical Information Systems (GIS) technologies, a Gaussian-based two-step floating catchment area (G2SFCA) method was applied to quantify accessibility under four driving time thresholds ranging from 15 to 60 minutes. Bivariate global and local Moran's I statistics were used to analyse social inequalities in accessibility across various geographical areas.

Results: Accessibility was higher in urban areas than those towards the peri-urban and rural areas; the overall spatial coverage was relatively limited for service access within the 15- or 30-minute driving time threshold, compared with the 45- or 60-minute driving time threshold. Lower levels of accessibility were identified in areas with a concentration of Indigenous and socio-economically disadvantaged populations.

Conclusions: This study advances a socially informed spatial inequality assessment framework. Unlike previous research exploring accessibility qualitatively, our framework innovatively integrates spatial analysis, Indigenous-specific population data and culturally sensitive provider capacity metrics within an advanced G2SFCA model. This approach uniquely exposes the compounded socio-spatial barriers to mental health services for Indigenous populations across South East Queensland's urban-rural continuum. The resulting accessibility and inequality maps, combined with a summary of focus areas and their associated socio-demographic profiles, provide a direct policy lever to prioritise intervention for Indigenous communities experiencing the greatest disadvantage. By bridging spatial analysis with Indigenous cultural contexts, this work offers a replicable model for equitable, community-driven healthcare resource allocation for Indigenous peoples globally.