Spatial Analysis Data of Population-based Breast Screening Participation in South Australia Dataset
To develop a new and unique geodatabase to identify locational disparities in population based breast cancer screening participation in South Australia according to place of residence. The small area geodatabase resulting from this project will provide a platform for advanced research into breast screening participation, geographic and spatial differentials in screening rates, and investigate possible predictors of these differentials. Specific analyses at the smallest geographic areas available will be undertaken where feasible to precisely identify social and demographic disparities and area level risk factors that warrant new service response.
Spatial analysis will be undertaken at the smallest area possible, ideally the statistical area 1 (SA1) level. In addition, we shall assess small area predictors of screening participation with measures that include age, education, socioeconomic status, ethnic composition, family status and housing, as well as screening service access (presence and distance to screening service). Changes in screening participation over time will be investigated and assessed in relation to variation in BreastScreen SA program delivery including service pathways and local availability and timing for mobile screening
units.
Data and resources
Other resources collected by the researchers may be available subject to researcher approval. Please contact Prof David Roder.
Period covered by the dataset
| Start date: |
01 Jan 2017
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| End date: |
N/A
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Access rights
Access to the dataset may be subject to licence and privacy conditions. Requests for access can be made through the listed contact. All rights reserved.
Data citation
Farshid, G, Daniel, M, Niyonsenga, T, Coffee, N, Buckley, E, Holmes, A, Burden, J, Van Gaans, D, Roder, D 2025, Spatial Analysis Data of Population-based Breast Screening Participation in South Australia Dataset, University of South Australia, viewed 16 July 2025, retrieved from <https://researchoutputs.unisa.edu.au/11541.1/58a83e9e-cb1a-471c-b7fa-8b7a79adb048>.