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Diabetes in Ontario

Determination of prevalence and incidence using a validated administrative data algorithm

  1. Janet E. Hux, MD, FRCPC123,
  2. Frank Ivis, BA1,
  3. Virginia Flintoft, MSc1 and
  4. Adina Bica, MSc1
  1. 1Institute for Clinical Evaluative Sciences, Toronto, Canada
  2. 2Department of Medicine, University of Toronto, Toronto, Canada
  3. 3Clinical Epidemiology and Health Care Research Program, Sunnybrook & Women]s College Health Sciences Centre, Toronto, Canada

    Abstract

    OBJECTIVE—Accurate information about the magnitude and distribution of diabetes can inform policy and support health care evaluation. We linked physician service claims (PSCs) and hospital discharge abstracts (HDAs) to determine diabetes prevalence and incidence.

    RESEARCH DESIGN AND METHODS—A retrospective cohort was constructed using administrative data from the national HDA database, PSCs for Ontario (population 11 million), and registries carrying demographics and vital statistics. All HDAs and PSCs bearing a diagnosis of diabetes (ICD9-CM 250) were selected for 1991–1999. Two previously reported algorithms for identification of diabetes were applied as follows: “1-claim” (any HDA or PSC showing diabetes) and “2-claim” (one HDA or two PSCs within 2 years showing diabetes). Incident cases were defined as individuals who met the criteria for diabetes for the first time after at least 2 years of observation. For validation, diagnostic data abstracted from primary care charts (n=3,317) of 57 randomly selected physicians were linked to the administrative data cohort, and sensitivity and specificity were calculated.

    RESULTS—In 1998, 696,938 individuals met the 1-claim criteria and 528,280 met the 2-claim criteria. Sensitivity for diabetes was 90 and 86%; for the 1- and 2-claim algorithms, specificity was 92 and 97%, respectively, and positive predictive values were 61 and 80%, respectively. Using the 2-claim algorithm, the all-age prevalence increased from 3.2% in 1993 to 4.5% in 1998 (6.1% in adults). Incidence remained stable.

    CONCLUSIONS—Administrative data can be used to establish population-based incidence and prevalence of diabetes. Diabetes prevalence is increasing in Ontario and is considerably higher than self-reported rates.

    Footnotes

    • Address correspondence and reprint requests to Dr. Janet E. Hux, G-106, 2075 Bayview Ave., Toronto, ON M4N 3M5, Canada. E-mail: jan{at}ices.on.ca.

      Received for publication 20 June 2001 and accepted in revised form 6 December 2001.

      The opinions, results, and conclusions of this study are those of the authors, and no endorsement by the Ministry of Health and Long-Term Care or by the Institute for Clinical Evaluative Sciences is intended or should be inferred.

      A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.

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