Formats
PDF report
Free
1001Kb
Another format
If you need this publication in an alternative format, please contact us.
Acute coronary syndrome: validation of the method used to monitor incidence in Australia
Publication
Release Date:
Citation
AIHW
Australian Institute of Health and Welfare (2014) Acute coronary syndrome: validation of the method used to monitor incidence in Australia, AIHW, Australian Government, accessed 08 December 2023.
APA
Australian Institute of Health and Welfare. (2014). Acute coronary syndrome: validation of the method used to monitor incidence in Australia. Canberra: AIHW.
MLA
Australian Institute of Health and Welfare. Acute coronary syndrome: validation of the method used to monitor incidence in Australia. AIHW, 2014.
Vancouver
Australian Institute of Health and Welfare. Acute coronary syndrome: validation of the method used to monitor incidence in Australia. Canberra: AIHW; 2014.
Harvard
Australian Institute of Health and Welfare 2014, Acute coronary syndrome: validation of the method used to monitor incidence in Australia, AIHW, Canberra.
PDF | 1001Kb
Monitoring the incidence of acute coronary events is critical to assess the health and economic burden of coronary heart disease. This working paper uses linked data from Western Australia and New South Wales to assess the central assumptions underlying the proxy measure for estimating the incidence of acute coronary events, in the absence of a heart disease register. This validation study shows that the algorithm may underestimate the incidence of acute coronary events in Australia, but despite this the methodology does provide a reasonable measure of the acute coronary events in Australia.
- ISBN: 978-1-74249-580-4
- Cat. no: CVD 68
- Pages: 68
Findings from this report:
-
Proxy measures are used to estimate incidence of acute coronary events in absence national reliable incidence data
-
Linked hospitalisation and deaths data from WA and NSW were used to validate the algorithm for deriving the measure
-
The unlinked data alone appeared to underestimate the rate of acute coronary events by 6% in WA and 11% in NSW
-
While the algorithm may underestimate incidence of acute coronary events it was found to provide a reasonable measure