Estimating the incidence of stroke and acute coronary syndrome using the National Integrated Health Services Information Analysis Asset
Publication
Release Date:
Citation
AIHW
Australian Institute of Health and Welfare (2022) Estimating the incidence of stroke and acute coronary syndrome using the National Integrated Health Services Information Analysis Asset, AIHW, Australian Government, accessed 29 November 2023. doi:10.25816/resc-1m16
APA
Australian Institute of Health and Welfare. (2022). Estimating the incidence of stroke and acute coronary syndrome using the National Integrated Health Services Information Analysis Asset. Canberra: AIHW.
MLA
Australian Institute of Health and Welfare. Estimating the incidence of stroke and acute coronary syndrome using the National Integrated Health Services Information Analysis Asset. AIHW, 2022.
Vancouver
Australian Institute of Health and Welfare. Estimating the incidence of stroke and acute coronary syndrome using the National Integrated Health Services Information Analysis Asset. Canberra: AIHW; 2022.
Harvard
Australian Institute of Health and Welfare 2022, Estimating the incidence of stroke and acute coronary syndrome using the National Integrated Health Services Information Analysis Asset, AIHW, Canberra.
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Currently, there is no direct way to count the number of new stroke or acute coronary syndrome (ACS) events at the national level. Instead, estimates are derived using algorithms, based on unlinked national hospitalisation and deaths data. This report aims to fill this gap. It presents the incidence of stroke and ACS derived using linked data from the National Integrated Health Services Information Analysis Asset (NIHSI AA).
- ISBN: 978-1-922802-17-0
- DOI: 10.25816/resc-1m16
- Cat. no: CDK 21
- Pages: 20
Findings from this report:
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In 2018, there were around 29,000 new stroke events – around 79 events every day
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In 2018, there were around 40,200 new acute coronary syndrome events – around 110 events every day
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Stroke events estimated using the unlinked data were similar to estimates from linked data
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Acute coronary syndrome events were underestimated by 15% when using unlinked data compared to linked data