Health Promotion and Chronic Disease Prevention in Canada
Volume 36, Issue 10, 2016, Pages 224-230

Estimating chronic disease rates in Canada: Which population-wide denominator to use? (Article) (Open Access)

Ellison J.* , Nagamuthu C. , Vanderloo S. , McRae B. , Waters C.
  • a Centre for Chronic Disease Prevention, Public Health Agency of Canada, Ottawa, ON, Canada
  • b Department of Public Health Sciences, School of Public Health, University of Alberta, Edmonton, AB, Canada
  • c Ottawa Hospital Research Institute, Ottawa, ON, Canada
  • d Centre for Chronic Disease Prevention, Public Health Agency of Canada, Ottawa, ON, Canada
  • e Centre for Chronic Disease Prevention, Public Health Agency of Canada, Ottawa, ON, 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. © 2016, Public Health Agency of Canada. All rights reserved.

Author Keywords

Population estimates canada Canadian chronic disease surveillance system Measures of disease frequency Denominator Administrative health data Census Disease surveillance

Index Keywords

population health insurance human middle aged statistics and numerical data diabetes mellitus Aged Databases, Factual factual database chronic disease Insurance, Health Young Adult Humans Adolescent Infant, Newborn Canada preschool child Aged, 80 and over Infant very elderly Child, Preschool newborn population research prevalence Incidence adult Censuses cause of death mortality Child

Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017481608&doi=10.24095%2fHPCDP.36.10.03&partnerID=40&md5=0b378a5f16b0ab17cc868640edb15954

DOI: 10.24095/HPCDP.36.10.03
ISSN: 2368738X
Cited by: 3
Original Language: English