2002
DOI: 10.2337/diacare.25.3.512
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Diabetes in Ontario

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 bearin… Show more

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Cited by 1,123 publications
(931 citation statements)
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References 20 publications
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“…The authors linked the CorHealth Ontario registry (date and type of cardiac procedures, comorbidities, EF, and angiographic data) with the Canadian Institute for Health Information's Discharge Abstract Database (comorbidities and hospital admissions) and Same Day Surgery database (comorbidities), Ontario Health Insurance Plan database (physician service claims), Registered Persons Database (ascertainment of vital statistics), and Canadian census. Although lacking in physiologic and laboratory measures, these administrative databases have been validated for many outcomes, exposures, and comorbidities 18, 19, 20, 21…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The authors linked the CorHealth Ontario registry (date and type of cardiac procedures, comorbidities, EF, and angiographic data) with the Canadian Institute for Health Information's Discharge Abstract Database (comorbidities and hospital admissions) and Same Day Surgery database (comorbidities), Ontario Health Insurance Plan database (physician service claims), Registered Persons Database (ascertainment of vital statistics), and Canadian census. Although lacking in physiologic and laboratory measures, these administrative databases have been validated for many outcomes, exposures, and comorbidities 18, 19, 20, 21…”
Section: Methodsmentioning
confidence: 99%
“…Comorbidities were identified from the CorHealth Ontario registry and supplemented with data from the Discharge Abstract Database, the Same Day Surgery database, and the Ontario Health Insurance Plan database using International Classification of Diseases, Tenth Revision, Canada ( ICD‐10‐CA ) codes32 within 5 years before CABG using validated algorithms 18, 20, 33, 34, 35. We estimated socioeconomic status on the basis of patients’ neighborhood median income in the Canadian census and determined their residence (rural versus urban) using Statistics Canada definitions 36.…”
Section: Methodsmentioning
confidence: 99%
“…These data were then linked to the Canadian Institute for Health Information's Discharge Abstract Database (DAD; comorbidities and hospital admissions) and Same Day Surgery (SDS) database (comorbidities), Ontario Health Insurance Plan (OHIP) database (physician service claims), Registered Persons Database (RPDB; ascertainment of vital statistics), and Canadian census. While lacking physiologic and laboratory measures, these administrative databases have been validated for many outcomes, exposures, and comorbidities 15, 16, 17, 18…”
Section: Methodsmentioning
confidence: 99%
“…Comorbidities were identified from the CorHealth Ontario registry and supplemented with data from DAD, SDS, and OHIP using International Classification of Diseases––10th Revision (ICD‐10) codes19 within 5 years before CABG and using validated algorithms (eg, chronic obstructive pulmonary disease [COPD], asthma, hypertension, diabetes mellitus) 15, 17, 20, 21. We estimated socioeconomic status based on patients’ neighborhood median income in the Canadian census and determined their residence (rural versus urban) using Statistics Canada definitions 22.…”
Section: Methodsmentioning
confidence: 99%
“…We obtained hospitalization data from the Canadian Institute for Health Information (CIHI) Discharge Abstract Database, which contains detailed clinical information regarding all hospital admissions, and data on emergency department visits from the CIHI National Ambulatory Care Reporting System. We identified patients with hypertension, diabetes and congestive heart failure using validated disease‐specific databases 24, 25, 26. Demographic and mortality data were obtained from the Ontario Health Insurance Plan Registered Persons Database, a registry of all Ontario residents with publically‐funded health insurance, and physicians’ services were identified using OHIP physician claims data.…”
Section: Methodsmentioning
confidence: 99%