Background: The objective of this study was to describe sex-specific hospitalization rates among Indigenous people in Canada (excluding Quebec), separately for First Nations people living on and off reserve, Inuit living in Inuit Nunangat (excluding Nunavik), Métis, and the non-Indigenous population.
Data and methods: The 2006 and 2011 Canadian Census Health and Environment Cohorts (CanCHECs) were used, allowing hospital records to be examined by Indigenous identity as reported on the census. Five years of hospitalization data were used for each CanCHEC. Causes of hospitalization were based on the most responsible diagnosis and coded at the chapter level according to the International Classification of Diseases (ICD-10-CA). Age-standardized hospitalization rates (ASHRs) were calculated per 100,000 population, and rate ratios (RRs) were calculated for each Indigenous group relative to non-Indigenous people.
Results: ASHRs were higher among Indigenous people than among non-Indigenous people; this was true for females and males from both the 2006 and the 2011 cohorts. Hospitalization patterns varied by sex and Indigenous group. The greatest disparities with the non-Indigenous population were observed among on-reserve First Nations females and males from both cohorts. Elevated RRs were observed for diseases of the endocrine, nutritional and metabolic system among First Nations females and males living on reserve; hospitalizations for mental health among First Nations females and males living off reserve and Inuit males; and diseases of the respiratory system among Inuit females. For Métis females and males, equally elevated RRs were observed for diseases of the endocrine system and mental health. ASHRs for most causes decreased between the 2006 and 2011 cohorts, with the exception of ASHRs for mental health among First Nations females and males living on reserve, which increased.
Discussion: Findings are consistent with recognized health disparities between Indigenous and non-Indigenous people. Further research is warranted to understand reported differences in hospitalization patterns.