Predicting early dementia using Medicare claims: a feasibility study using the National Integrated Health Services Information Analysis Asset
Citation
AIHW
Australian Institute of Health and Welfare (2021) Predicting early dementia using Medicare claims: a feasibility study using the National Integrated Health Services Information Analysis Asset, AIHW, Australian Government, accessed 01 November 2024. doi:10.25816/pmj0-8q05
APA
Australian Institute of Health and Welfare. (2021). Predicting early dementia using Medicare claims: a feasibility study using the National Integrated Health Services Information Analysis Asset. Canberra: AIHW. doi:10.25816/pmj0-8q05
MLA
Australian Institute of Health and Welfare. Predicting early dementia using Medicare claims: a feasibility study using the National Integrated Health Services Information Analysis Asset. AIHW, 2021. doi:10.25816/pmj0-8q05
Vancouver
Australian Institute of Health and Welfare. Predicting early dementia using Medicare claims: a feasibility study using the National Integrated Health Services Information Analysis Asset. Canberra: AIHW; 2021. doi:10.25816/pmj0-8q05
Harvard
Australian Institute of Health and Welfare 2021, Predicting early dementia using Medicare claims: a feasibility study using the National Integrated Health Services Information Analysis Asset, AIHW, Canberra. doi:10.25816/pmj0-8q05
PDF | 2.7MB
This feasibility study aimed to identify whether early dementia could be predicted from primary and secondary care service utilisation, as recorded in Medicare claims data, in the absence of diagnosis information. The 2 techniques tested showed that Medicare items associated with geriatrician attendances, imaging of the head, and some pathology had strong predictive value, especially where a patient has a combination of these items in their recent medical history.
- ISBN: 978-1-76054-899-5
- DOI: 10.25816/pmj0-8q05
- Cat. no: DEM 4
- Pages: 40
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Geriatrician attendances and brain scans are highly predictive of early dementia.
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Identification of likely early dementia patients from MBS data may improve dementia prevalence estimates.
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A decision tree approach provides combinations of health services that may indicate early dementia.
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The final models can detect 80% of individuals prescribed dementia-specific medication within the 2-year period.