J Ellison1, C Nagamuthu2, S Vanderloo3, B McRae1, C Waters1. 1. Centre for Chronic Disease Prevention, Public Health Agency of Canada, Ottawa, Ontario, Canada. 2. Department of Public Health Sciences, School of Public Health, University of Alberta, Edmonton, Alberta, Canada. 3. Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Abstract
INTRODUCTION: Chronic disease rates are produced from the Public Health Agency of Canada's Canadian Chronic Disease Surveillance System (CCDSS) using administrative health data from provincial/territorial health ministries. Denominators for these rates are based on estimates of populations derived from health insurance files. However, these data may not be accessible to all researchers. Another source for population size estimates is the Statistics Canada census. The purpose of our study was to calculate the major differences between the CCDSS and Statistics Canada's population denominators and to identify the sources or reasons for the potential differences between these data sources. METHODS: We compared the 2009 denominators from the CCDSS and Statistics Canada. The CCDSS denominator was adjusted for the growth components (births, deaths, emigration and immigration) from Statistics Canada's census data. RESULTS: The unadjusted CCDSS denominator was 34 429 804, 3.2% higher than Statistics Canada's estimate of population in 2009. After the CCDSS denominator was adjusted for the growth components, the difference between the two estimates was reduced to 431 323 people, a difference of 1.3%. The CCDSS overestimates the population relative to Statistics Canada overall. The largest difference between the two estimates was from the migrant growth component, while the smallest was from the emigrant component. CONCLUSION: By using data descriptions by data source, researchers can make decisions about which population to use in their calculations of disease frequency.
INTRODUCTION:Chronic disease rates are produced from the Public Health Agency of Canada's Canadian Chronic Disease Surveillance System (CCDSS) using administrative health data from provincial/territorial health ministries. Denominators for these rates are based on estimates of populations derived from health insurance files. However, these data may not be accessible to all researchers. Another source for population size estimates is the Statistics Canada census. The purpose of our study was to calculate the major differences between the CCDSS and Statistics Canada's population denominators and to identify the sources or reasons for the potential differences between these data sources. METHODS: We compared the 2009 denominators from the CCDSS and Statistics Canada. The CCDSS denominator was adjusted for the growth components (births, deaths, emigration and immigration) from Statistics Canada's census data. RESULTS: The unadjusted CCDSS denominator was 34 429 804, 3.2% higher than Statistics Canada's estimate of population in 2009. After the CCDSS denominator was adjusted for the growth components, the difference between the two estimates was reduced to 431 323 people, a difference of 1.3%. The CCDSS overestimates the population relative to Statistics Canada overall. The largest difference between the two estimates was from the migrant growth component, while the smallest was from the emigrant component. CONCLUSION: By using data descriptions by data source, researchers can make decisions about which population to use in their calculations of disease frequency.
Entities:
Keywords:
Canadian Chronic Disease Surveillance System; administrative health data; census; denominator; disease surveillance; measures of disease frequency; population estimates Canada
Authors: Claudia Blais; Sulan Dai; Chris Waters; Cynthia Robitaille; Mark Smith; Lawrence W Svenson; Kim Reimer; Jill Casey; Rolf Puchtinger; Helen Johansen; Yana Gurevich; Lisa M Lix; Hude Quan; Karen Tu Journal: Can J Cardiol Date: 2013-12-20 Impact factor: 5.223
Authors: Cynthia Robitaille; Sulan Dai; Chris Waters; Lidia Loukine; Christina Bancej; Susan Quach; Joellyn Ellison; Norman Campbell; Karen Tu; Kim Reimer; Robin Walker; Mark Smith; Claudia Blais; Hude Quan Journal: CMAJ Date: 2011-11-21 Impact factor: 8.262
Authors: Cynthia Robitaille; Christina Bancej; Sulan Dai; Karen Tu; Drona Rasali; Claudia Blais; Céline Plante; Mark Smith; Lawrence W Svenson; Kim Reimer; Jill Casey; Rolf Puchtinger; Helen Johansen; Yana Gurevich; Chris Waters; Lisa M Lix; Hude Quan Journal: BMC Cardiovasc Disord Date: 2013-10-20 Impact factor: 2.298
Authors: Lisa M Lix; James Ayles; Sharon Bartholomew; Charmaine A Cooke; Joellyn Ellison; Valerie Emond; Naomi C Hamm; Heather Hannah; Sonia Jean; Shannon LeBlanc; Siobhan O'Donnell; J Michael Paterson; Catherine Pelletier; Karen A M Phillips; Rolf Puchtinger; Kim Reimer; Cynthia Robitaille; Mark Smith; Lawrence W Svenson; Karen Tu; Linda D VanTil; Sean Waits; Louise Pelletier Journal: Int J Popul Data Sci Date: 2018-10-05