Geographical and spatial variations in bowel cancer screening participation, Australia, 2015-2020

Dasgupta, Paramita, , Goodwin, Belinda, , , , & (2023) Geographical and spatial variations in bowel cancer screening participation, Australia, 2015-2020. PLoS ONE, 18(7), Article number: e0288992.

Open access copy at publisher website

Description

BACKGROUND: Participation in bowel cancer screening programs remains poor in many countries. Knowledge of geographical variation in participation rates may help design targeted interventions to improve uptake. This study describes small-area and broad geographical patterns in bowel screening participation in Australia between 2015-2020.

METHODS: Publicly available population-level participation data for Australia's National Bowel Cancer Screening Program (NBCSP) were modelled using generalized linear models to quantify screening patterns by remoteness and area-level disadvantage. Bayesian spatial models were used to obtain smoothed estimates of participation across 2,247 small areas during 2019-2020 compared to the national average, and during 2015-2016 and 2017-2018 for comparison. Spatial heterogeneity was assessed using the maximized excess events test.

RESULTS: Overall, screening participation rates was around 44% over the three time-periods. Participation was consistently lower in remote or disadvantaged areas, although heterogeneity was evident within these broad categories. There was strong evidence of spatial differences in participation over all three periods, with little change in patterns between time periods. If the spatial variation was reduced (so low participation areas were increased to the 80th centile), an extra 250,000 screens (4% of total) would have been conducted during 2019-2020.

CONCLUSIONS: Despite having a well-structured evidence-based government funded national bowel cancer screening program, the substantial spatial variation in participation rates highlights the importance of accounting for the unique characteristics of specific geographical regions and their inhabitants. Identifying the reasons for geographical disparities could inform interventions to achieve more equitable access and a higher overall bowel screening uptake.

Impact and interest:

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ID Code: 241802
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Cameron, Jessica Korcid.org/0000-0002-8161-0358
Cramb, Susanna Morcid.org/0000-0001-9041-9531
Mengersen, Kerrieorcid.org/0000-0001-8625-9168
Baade, Peter Dorcid.org/0000-0001-8576-8868
Additional Information: Funding: Some of this work was funded by an ARC Linkage Project (LP200100468). Mengersen K, Aitken J, Cramb S, Baade P, Spratt B, Thompson H. Statistical methods for quantifying variation in spatiotemporal areal data. ARC Linkage Project (LP200100468). 2021-2023. $588,955 Susanna Cramb receives salary and research support from an NHMRC Investigator Grant (#2008313). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Measurements or Duration: 16 pages
DOI: 10.1371/journal.pone.0288992
ISSN: 1932-6203
Pure ID: 140538009
Divisions: Current > Research Centres > Centre for Data Science
Current > Research Centres > Centre for Healthcare Transformation
Current > Research Centres > Australian Centre for Health Services Innovation
Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Faculty of Health
Current > Schools > School of Public Health & Social Work
Funding:
Copyright Owner: 2023 The Authors
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Deposited On: 25 Jul 2023 00:18
Last Modified: 29 Feb 2024 13:43