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about diabetes incidence and prevalence data

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  • For each data source, information about data collection and analytical methods, limitations, the citation and additional resources can be found on the Data Sources and Methods page.

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).

METHODS

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:

  • Medical Services data for approved physician claims and
  • In-patient Hospital Discharges from Discharge Abstract Database.

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:

  • A hospital admission with a diabetes diagnosis (International Classification of Diseases Clinical Modification code 250 (ICD9-CM) before 2002 or ICD-10 code E10–E14 after 2002.
  • A physician services claim with a diabetes diagnosis (code 250) followed within 2 years by either a physician services claim or a hospital admission with a diabetes diagnosis (excluding gestational diabetes).

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:

  • year
  • sex
  • age group and
  • region

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 Methods

Analysis was restricted to those 20 years of age and older.

Data are presented as incidence and prevalence rates and numbers

Incidence

Incidence

* Where Total Population at Risk= [Total Population - [Prevalent Diabetes Cases] + [Incidence Diabetes Cases]]

Age-Standardized Rate:

  • Calculated by Peel Public Health Epidemiologist using data from ICES
  • Using the Direct Method
  • Standardized to the 1991 Canadian Population using 5 age groups: 20-34, 35-49, 50-64, 65-74, 74+

Prevalence

Prevalence

Age-Standardized Rate:

  • Calculated by ICES
  • Using the Direct Method
  • Standardized to the 1991 Canadian Population; provided by ICES

LIMITATIONS

  • The case criteria in the ODD do not include women with gestational diabetes.
  • The criteria may not distinguish between diabetes types in any of the reported rates due to limitations of the physician billing data and the hospital discharge abstract data in identifying type 1 and type 2 diabetes.
  • ODD contains information about diabetes cases diagnosed by a physician. Some people may have diabetes but have not yet been diagnosed.

REFERENCES/RESOURCES

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.

ICES Website

Regional Measure of Diabetes Burden in Ontario

Report from the National Diabetes Surveillance System (NDSS): Diabetes in Canada, 2009



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