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- W2532943886 abstract "Since its creation in 1964, the Ontario Cancer Registry (OCR) has been an important source of high-quality information on cancer incidence and mortality. As a population-based registry, the OCR can be used to assess the provincial burden of cancer, track the progress of cancer control programs, identify health disparities among subpopulations, plan and improve healthcare, perform health services research, verify clinical guideline adherence, evaluate screening effectiveness, and much more. With over one third of Canadians residing in Ontario, the OCR is the nation’s largest provincial cancer registry and a major contributor to the Canadian Cancer Registry. In 2015 alone, the OCR collected data on an estimated 83,000 malignant cases. Through its active participation in Canadian, North American, and international standard setting bodies, the OCR adopts the latest methods for registry data collection and reporting. The OCR is created entirely from records generated for purposes other than cancer registration. These records include pathology reports, treatment-level activity, hospital discharges, surgery data, and death certificates. A unique computerized record linkage system brings these sources together to create cases in the registry. Recent technological updates to the OCR have further modernized the registry and prepared it for future developments in the field of cancer registration. This chapter describes the evolution of the OCR, its basic processes and components of automation, data elements, data quality measures, linkage processes, and other aspects of the registry that make it of particular interest to health services researchers and more broadly to the healthcare and public health community." @default.
- W2532943886 created "2016-10-28" @default.
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- W2532943886 date "2016-01-01" @default.
- W2532943886 modified "2023-10-13" @default.
- W2532943886 title "Health Services Data: The Ontario Cancer Registry (a Unique, Linked, and Automated Population-Based Registry)" @default.
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- W2532943886 doi "https://doi.org/10.1007/978-1-4899-7673-4_18-1" @default.
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