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Undiagnosed diabetes from cross-sectional GP practice data: an approach to identify communities with high likelihood of undiagnosed diabetes

Bagheri, Nasser; McRae, I.; Konings, P.; Butler, D.; Douglas, K.; Del Fante, P.; Adams, R.


OBJECTIVES To estimate undiagnosed diabetes prevalence from general practitioner (GP) practice data and identify areas with high levels of undiagnosed and diagnosed diabetes. DESIGN Data from the North-West Adelaide Health Survey (NWAHS) were used to develop a model which predicts total diabetes at a small area. This model was then applied to cross-sectional data from general practices to predict the total level of expected diabetes. The difference between total expected and already diagnosed...[Show more]

CollectionsANU Research Publications
Date published: 2014-07-23
Type: Journal article
Source: BMJ Open
DOI: 10.1136/bmjopen-2014-005305


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