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Original source: Institute of Clinical Evaluative Sciences (ICES)
Distributed by: Institute of Clinical Evaluative Sciences (ICES)
Cite as: Ontario Diabetes Database [Years], Institute of Clinical Evaluative Sciences (ICES).
Data Collection Methods
The Ontario Diabetes Database (ODD) is a population-based disease registry that was constructed using a validated algorithm based on administrative data to identify individuals with physician-diagnosed diabetes mellitus in Ontario.
Data for the ODD come from two sources:
Data are compiled annually by ICES.
A patient is said to have physician-diagnosed diabetes if he or she meets at least one of the following algorithm criteria:
The ODD has been validated against primary care health records and demonstrated to be accurate for determining incidence and prevalence of diabetes, sensitivity 86%, specificity 97% (Hux, et al., 2002).
Data from the ODD are provided to Peel Public Health Population Health Assessment Team (PHAST) by Institute for Clinical Evaluative Sciences (ICES) upon request. Data provided include aggregated tables by:
A Non-Disclosure Agreement has been signed between Peel Public Health PHAST and ICES to outline how diabetes incidence and prevalence data must be protected and how it may be used. Peel Public Health may not use the data in a manner which could lead to the identification of an individual and may not share raw data with unauthorized users. Data may be provided in aggregate table format to public health users.
Analysis was restricted to those 20 years of age and older.
Data are presented as incidence and prevalence rates and numbers
* Where Total Population at Risk= [Total Population - [Prevalent Diabetes Cases] + [Incidence Diabetes Cases]]
Information about the development of the ODD:
Hux JE, Ivis F, Flintoft V, et al. Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm: Diabetes Care 2002;25:512-6.
Report from the National Diabetes Surveillance System (NDSS): Diabetes in Canada, 2009
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