Canadian Census Health & Environment Cohort linked to Discharge Abstract Data / National Ambulatory Care Reporting System
2006 - 2017
Overview
Summary
The Canadian Census Health and Environment Cohort (CanCHEC) linked to DAD/NACRS is available in the RDC. Access is granted separately for each linkage. The Canadian Census Health and Environment Cohorts (CanCHEC) are population- based linked datasets that follow the non-institutional (household) population at time of census for different health outcomes such as mortality and cancer as well as annual postal codes.
The CanCHEC consists of a linkage between tax information, long-form census, and historic postal code data as well as mortality data and cancer registry data. The Discharge Abstract Database (DAD) is a national database for information on all separations from acute care institutions, including discharges, deaths, sign-outs and transfers, within a fiscal year (April 1 to March 31). Over time, the DAD has also been used to capture data on day surgery procedures, long-term care, rehabilitation and other types of care. Quebec does not submit data to the DAD. About 2.4 million day surgery abstracts are submitted to the Canadian Institute for Health Information (CIHI) annually; approximately 35% are sent to the DAD and 65% are sent to the National Ambulatory Care Reporting System (NACRS). The National Ambulatory Care Reporting System (NACRS) contains data for all hospital-based and community-based ambulatory care work Emergency departments Client visit data is collected at time of service in participating facilities.
Available Cycles
Years | Name |
---|---|
2006-2017 | Canadian Census Health & Environment Cohort linked to Discharge Abstract Data / National Ambulatory Care Reporting System |
Publication Note
All publications (e.g. scientific articles, reports, dissertations, theses) and presentations based on a dataset available in the RDCs should include an acknowledgement of the support provided by granting councils (SSHRC, CIHR, CFI), Statistics Canada and host university. See a sample