INTRODUCTION: The Public Health Agency of Canada developed the Chronic Disease Indicator Framework (the Framework) with the goal of systematizing and enhancing chronic disease surveillance in Canada by providing the basis for consistent and reliable information on chronic diseases and their determinants. METHODS: Available national and international health indicators, frameworks and national health databases were reviewed to identify potential indicators. To make sure that a comprehensive and balanced set of indicators relevant to chronic disease prevention was included, a conceptual model with "core domains" for grouping eligible indicators was developed. Specific selection criteria were applied to identify key measures. Extensive consultations with a broad range of government partners, non-governmental organizations and public health practitioners were conducted to reach consensus and refine and validate the Framework. RESULTS: The Framework contains 41 indicators organized in a model comprised of 6 core domains: social and environmental determinants, early life / childhood risk and protective factors, behavioural risk and protective factors, risk conditions, disease prevention practices, and health outcomes/status. Also planned is an annual release of updated data on the proposed set of indicators, including national estimates, breakdowns by demographic and socioeconomic variables, and time trends. CONCLUSIONS: Understanding the evidence related to chronic diseases and theirdeterminants is key to interpreting trends and crucial to the development of public health interventions. The Framework and its related products have the potential of becoming an indispensable tool for evidence-informed decision making in Canada.
INTRODUCTION: The Public Health Agency of Canada developed the Chronic Disease Indicator Framework (the Framework) with the goal of systematizing and enhancing chronic disease surveillance in Canada by providing the basis for consistent and reliable information on chronic diseases and their determinants. METHODS: Available national and international health indicators, frameworks and national health databases were reviewed to identify potential indicators. To make sure that a comprehensive and balanced set of indicators relevant to chronic disease prevention was included, a conceptual model with "core domains" for grouping eligible indicators was developed. Specific selection criteria were applied to identify key measures. Extensive consultations with a broad range of government partners, non-governmental organizations and public health practitioners were conducted to reach consensus and refine and validate the Framework. RESULTS: The Framework contains 41 indicators organized in a model comprised of 6 core domains: social and environmental determinants, early life / childhood risk and protective factors, behavioural risk and protective factors, risk conditions, disease prevention practices, and health outcomes/status. Also planned is an annual release of updated data on the proposed set of indicators, including national estimates, breakdowns by demographic and socioeconomic variables, and time trends. CONCLUSIONS: Understanding the evidence related to chronic diseases and theirdeterminants is key to interpreting trends and crucial to the development of public health interventions. The Framework and its related products have the potential of becoming an indispensable tool for evidence-informed decision making in Canada.
Authors: C James Frankish; Brenda Kwan; Diane E Gray; Andrea Simpson; Nina Jetha Journal: Health Promot Chronic Dis Prev Can Date: 2017-03 Impact factor: 3.240
Authors: Jamie Schaffler; Katerina Leung; Sarah Tremblay; Laura Merdsoy; Eric Belzile; Angella Lambrou; Sylvie D Lambert Journal: J Gen Intern Med Date: 2018-02-09 Impact factor: 5.128
Authors: Beatrice A Boucher; Elizabeth Manafò; Meaghan R Boddy; Lynn Roblin; Rebecca Truscott Journal: Health Promot Chronic Dis Prev Can Date: 2017-09 Impact factor: 3.240
Authors: Incare Correa De Jesus; Francisco José de Menezes Junior; Paulo Cesar Barauce Bento; Astrid Wiens; Jorge Mota; Neiva Leite Journal: Braz J Phys Ther Date: 2019-04-20 Impact factor: 3.377