ArticleInternational journal of population data science2018
The Canadian Chronic Disease Surveillance System: A model for collaborative surveillance.
Article in International journal of population data science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 61 citations in OpenAlex.
- Long-term cardiac morbidity in adolescent and young adult survivors of classical Hodgkin lymphoma: the British Columbia experience.Haematologica · 2026Article
- Comparing Administrative Data and Resident Assessment Instrument Data for Mental Health Surveillance in Home Care and Long-Term Care Populations.International journal of methods in psychiatric research · 2026Article
- Article
- Mental Illness Prevalence Among Ontario Home Care Clients: Variation by Urban/Rural Residence and Deprivation Measures: Prévalence de la maladie mentale chez les clients de soins à domicile en Ontario : variation selon la résidence urbaine/rurale et les mesures de défavorisation.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2026Article
- Adjusting fracture probability according to duration of diabetes: the Manitoba BMD Registry.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026Article
- Model-based algorithms to ascertain smoking in administrative health data: a registry-based validation study.BMC medical research methodology · 2026Article
- Article
- Enabling the analysis of patient-level data across jurisdictions for research use: a real-world exploration of a federated likelihood approach.International journal of population data science · 2026Article
- Article
- Assessing the validity of ICD-10 administrative data in coding comorbidities.BMJ health & care informatics · 2025Article
- Minimum elements for reporting a multi-jurisdiction feasibility assessment of algorithms based on routinely collected health data: Health Data Research Network Canada recommendations.International journal of population data science · 2025Article
- [Comparison of Chronic Disease Surveillance Systems in the Republic of Korea and Major Advanced Countries].Jugan geon-gang gwa jilbyeong · 2024Review
- Building and validating trend-based multiple sclerosis case definitions: a population-based cohort study for Manitoba, Canada.BMJ open · 2024Article
- Cohort Profile Update: The Québec Birth Cohort on Immunity and Health (CO·MMUNITY).International journal of epidemiology · 2024Article
- Public sector health analytics capacity before and after Covid-19: A case study of manager perspectives in New Brunswick, Canada.International journal of population data science · 2024Article
- Secondary use of routinely collected administrative health data for epidemiologic research: Answering research questions using data collected for a different purpose.International journal of population data science · 2024Article
- Socioeconomic representativeness of Australian, Canadian and British cohorts from the paediatric diabetes AdDIT study: comparisons to regional and national data.BMC medicine · 2023Article
- Estimating the completeness of physician billing claims for diabetes case ascertainment: a multiprovince investigation.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2023Article
- Surveillance of Child and Youth Mental Disorders and Associated Service Use in Canada.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2023Article
- Comparing self-reported health interview survey and pharmacy billing data in determining the prevalence of diabetes, hypertension, and hypercholesterolemia in Belgium.Archives of public health = Archives belges de sante publique · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors at 12 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.