Exploring Disparities in Breast Cancer Screening: An Ecological Analysis of Australian Data

Objective: The objective of this study is to analyse the socio-spatial patterns of breast cancer screening across Australian regions. Methods: The research is an ecological study. Data for breast screening participation and associated social and demographic factors are obtained from the Australian Institute of Health and Welfare and the Australian Bureau of Statistics. The unit of measurement for the analysis is spatially aggregated regions (Statistical Area 3). Geographically weighted regression is used to analyse the relationship between a dependent variable and one or more independent variables while considering the spatial or geographic relationships among the data points. Results: Globally, there was a significant (p<0.05) association between screening participation and income, English ability, education level, Indigenous background, and transport availability. The geographically weighted regression model represented an improved fit with a higher R2 (R2=0.89) and the Akaike information criterion (AIC) has improved, (AIC= 391.92). The Monte-Carlo tests for spatial variability were significant for all independent variables (p<0.05). Visually, there was marked spatial variation in the association between breast cancer screening rates and the significant independent variables from the global model. Conclusion: The identification of significant spatial variability in the association between breast cancer screening participation and important social and demographic factors provides important input into the design of programs aimed at increasing participation in screening regimes.