Power of Population Data Science Webinar - The Canadian Chronic Disease Surveillance System: A model for collaborative surveillance

Date: 
Wednesday, January 9, 2019
Event type: 
Webinar
Time: 
12:00noon to 1:00pm CST
Location: 

All sessions will be delivered live and online via the Gotowebinar system.

Can’t attend the live session? This presentation will be recorded and posted on the PopData's YouTube channel and the International Journal of Population Data Science (IJPDS) website for future reference. We recommend you register for the presentations of your choice so we can send you a link to the latest recorded sessions as they are available.

 


Description of Session: 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. 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. It draws upon expertise from PHAC epidemiologists and analysts, provincial/territorial experts in administrative data, and academic researchers. The distributed model used by the CCDSS enables efficient sharing of aggregate data for provinces and territories to produce reports and open data resources. Topics that will be covered in this session include the process, structure, benefits, and challenges of PHAC’s distributed model for chronic disease surveillance using linked administrative data.

View webinar presentation below.

Speaker

Lisa Lix, PhD is a Professor in the Department of Community Health Sciences and Tier I Canada Research Chair in Methods for Electronic Health Data Quality at the University of Manitoba. She is also Director of the Data Science Platform within the George and Fay Yee Centre for Healthcare Innovation. Dr. Lix’s areas of research expertise include statistical methods to evaluate the quality of administrative health databases, the analysis of repeated measures and longitudinal data, and statistical methods for patient-reported outcomes. She collaborates widely on projects about population health and the association between chronic disease, prescription drug use, and quality of life.  She is former co-chair of the CCDSS Science Committee and currently co-chairs the CCDSS Data Quality Working Group..

 

 

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Page last revised: January 15, 2019