Validating diabetes case definition algorithms using primary health care data
Citation
AIHW
Australian Institute of Health and Welfare (2024) Validating diabetes case definition algorithms using primary health care data , AIHW, Australian Government, accessed 18 July 2024.
APA
Australian Institute of Health and Welfare. (2024). Validating diabetes case definition algorithms using primary health care data . Canberra: AIHW.
MLA
Australian Institute of Health and Welfare. Validating diabetes case definition algorithms using primary health care data . AIHW, 2024.
Vancouver
Australian Institute of Health and Welfare. Validating diabetes case definition algorithms using primary health care data . Canberra: AIHW; 2024.
Harvard
Australian Institute of Health and Welfare 2024, Validating diabetes case definition algorithms using primary health care data , AIHW, Canberra.
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Identifying cases of disease in large databases is important for surveillance, research, quality improvement and clinical care. General practice data are a rich information source which contains a range of information to enable identification of whether a person has a particular condition or not. This technical report describes approaches for diabetes case definitions using markers of diabetes status including diabetes specific prescriptions, pathology tests and Medicare Benefits Schedule service items recorded in general practice data.
- ISBN: 978-1-923085-84-8
- Cat. no: CDK 24
- Pages: 74
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Combining markers of diabetes status provides better case definitions for identifying people with diagnosed diabetes
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Single markers such as diabetes specific prescriptions and MBS items have high precision, but sensitivity is low
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The identified case definitions do not sufficiently differentiate between diabetes types 1 and 2 in people of all ages
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This work helps to understand the criteria for identifying people with diabetes that can be applied to other data sets