Abstract
Chronic diseases have a major impact on populations and healthcare systems worldwide. Administrative health data are an ideal resource for chronic disease surveillance because they are population-based and routinely collected. For multi-jurisdictional surveillance, a distributed model is advantageous because it does not require individual-level data to be shared across jurisdictional boundaries. Our objective is to describe the process, structure, benefits, and challenges of a distributed model for chronic disease surveillance across all Canadian provinces and territories (P/Ts) using linked administrative data. The Public Health Agency of Canada (PHAC) established the Canadian Chronic Disease Surveillance System (CCDSS) in 2009 to facilitate standardized, national estimates of chronic disease prevalence, incidence, and outcomes. The CCDSS primarily relies on linked health insurance registration files, physician billing claims, and hospital discharge abstracts. Standardized case definitions and common analytic protocols are applied to the data for each P/T; aggregate data are shared with PHAC and summarized for reports and open access data initiatives. Advantages of this distributed model include: it uses the rich data resources available in all P/Ts; it supports chronic disease surveillance capacity building in all P/Ts; and changes in surveillance methodology can be easily developed by PHAC and implemented by the P/Ts. However, there are challenges: heterogeneity in administrative databases across jurisdictions and changes in data quality over time threaten the production of standardized disease estimates; a limited set of databases are common to all P/Ts, which hinders potential CCDSS expansion; and there is a need to balance comprehensive reporting with P/T disclosure requirements to protect privacy. The CCDSS distributed model for chronic disease surveillance has been successfully implemented and sustained by PHAC and its P/T partners. Many lessons have been learned about national surveillance involving jurisdictions that are heterogeneous with respect to healthcare databases, expertise and analytical capacity, population characteristics, and priorities.
Highlights
Chronic diseases are the leading causes of death and disability worldwide
This paper describes the process, structure, benefits, and challenges of the Canadian Chronic Disease Surveillance System (CCDSS), a well-established distributed model for chronic disease surveillance
The CCDSS model is a partnership that respects the data privacy legislation and data sharing agreements that exist in the provinces and territories (P/Ts)
Summary
Chronic diseases are the leading causes of death and disability worldwide. They place a large burden on both the individual and society, while contributing substantially to healthcare use and costs. In Canada, it is estimated that more than one in five adults live with at least one major chronic disease, includ-. Ing cardiovascular disease, cancer, chronic respiratory disease, and diabetes [1]. Mood and anxiety disorders are common [1]. Surveillance of chronic diseases, which involves the systematic collection, analysis, interpretation, and dissemination of data, is essential for strategic planning, program development and healthcare system monitoring. Open Access under CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en)
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