The Canadian Chronic Disease Surveillance System : a model for collaborative surveillance

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dc.contributor.author
Lix, Lisa M.
Ayles, James
Bartholomew, Sharon
Cooke, Charmaine A.
Ellison, Joellyn
Emond, Valerie
Hamm, Naomi C.
Hannah, Heather
Jean, Sonia
LeBlanc, Shannon
O'Donnel, Siobhan
Paterson, J. Michael
Pelletier, Catherine
Phillips, Karen A. M.
Puchtinger, Rolf
Reimer, Kim
Robitaille, Cynthia
Smith, Mark
Svenson, Lawrence W.
Tu, Karen
VanTil, Linda D.
Waits, Sean
Pelletier, Louise
dc.date.accessioned
2024-11-14T20:06:52Z
dc.date.available
2024-11-14T20:06:52Z
dc.date.issued
2018-10
dc.description - en
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 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.
dc.description.abstract - en
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.
dc.identifier.doi
10.23889/ijpds.v3i3.433
dc.identifier.uri
https://open-science.canada.ca/handle/123456789/3158
dc.language.iso
en
dc.publisher - en
Swansea University
dc.rights - en
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rights - fr
Creative Commons Attribution - Pas d'utilisation commerciale - Pas de modification 4.0 International (CC BY-NC-ND 4.0)
dc.rights.openaccesslevel - en
Gold
dc.rights.openaccesslevel - fr
Or
dc.rights.uri - en
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.uri - fr
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.fr
dc.subject - en
Health
Chronic diseases
dc.subject - fr
Santé
Maladie chronique
dc.subject.en - en
Health
Chronic diseases
dc.subject.fr - fr
Santé
Maladie chronique
dc.title - en
The Canadian Chronic Disease Surveillance System : a model for collaborative surveillance
dc.type - en
Article
dc.type - fr
Article
local.acceptedmanuscript.articlenum
433
local.article.journalissue
3
local.article.journaltitle - en
International Journal of Population Data Science
local.article.journalvolume
3
local.pagination
1-11
local.peerreview - en
Yes
local.peerreview - fr
Oui
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