Electronic Thesis and Dissertation Repository

Degree

Master of Science

Program

Epidemiology and Biostatistics

Supervisor

Wylie, Lloy

2nd Supervisor

Bauer, Greta R

Co-Supervisor

Abstract

National statistics commonly present Indigenous peoples as a falsely homogenous group of people experiencing disproportionate ill health when compared to non-Indigenous peoples. There are significant gaps in statistical information regarding the health services access barriers experienced by Indigenous people that disrupts the quality of care they receive or prevents them from accessing care altogether. Our Health Counts Toronto is a community-based study that employed respondent-driven sampling (RDS) methodologies to sample 917 urban Indigenous adults. Prevalence estimates and prevalence ratios were calculated using RDS-II weights and adjusting for clustering by shared recruiter in SAS 9.4 and SAS-callable SUDAAN 11.0 software. This study estimated that 14.85% (95% CI: 9.56, 20.14) of the study population had a self-reported diabetes diagnosis and 27.68% (95% CI: 20.56, 34.81) reported an unmet health need. Regional-level health assessment data is essential to tackle the health inequities endured by Indigenous peoples in Canada and system-level changes are necessary to decrease barriers to health care for Indigenous people.

Available for download on Monday, December 31, 2018

Included in

Epidemiology Commons

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