title: Geozones: an area-based method for analysis of health outcomes.
abstract: BACKGROUND
  Administrative datasets often lack information about individual characteristics such as Aboriginal identity and income. However, these datasets frequently contain individual-level geographic information (such as postal codes). This paper explains the methodology for creating Geozones, which are area-based thresholds of population characteristics derived from census data, which can be used in the analysis of social or economic differences in health and health service utilization.
  
  
  METHODS
  With aggregate 2006 Census information at the Dissemination Area level, population concentration and exposure for characteristics of interest are analysed using threshold tables and concentration curves. Examples are presented for the Aboriginal population and for income gradients.
  
  
  RESULTS
  The patterns of concentration of First Nations people, Métis, and Inuit differ from those of non-Aboriginal people and between urban and rural areas. The spatial patterns of concentration and exposure by income gradients also differ.
  
  
  CONCLUSIONS
  The Geozones method is a relatively easy way of identifying areas with lower and higher concentrations of subgroups. Because it is ecological-based, Geozones has the inherent strengths and weaknesses of this approach.
authors.affiliation: Health Analysis Division, Statistics Canada, Ottawa, Ontario, K1A 0T6. paul.a.peters@statcan.gc.ca
authors.forename: Paul A
authors.initials: PA
authors.lastname: Peters
authors.forename: Lisa N
authors.initials: LN
authors.lastname: Oliver
authors.forename: Gisèle M
authors.initials: GM
authors.lastname: Carrière
mesh_terms: D002170:Canada; D019352:Censuses; D003627:Data Interpretation, Statistical; D006296:Health Services / Q000706:statistics & numerical data; D006304:Health Status; D006801:Humans; D007182:Income / Q000706:statistics & numerical data*; D007198:Indians, North American / Q000706:statistics & numerical data*; D004930:Inuit / Q000706:statistics & numerical data*; D017063:Outcome Assessment, Health Care / Q000379:methods*; D017062:Small-Area Analysis; D012959:Socioeconomic Factors