Literature DB >> 31767570

First Nations people with diabetes in Ontario: methods for a longitudinal population-based cohort study.

Morgan Slater1, Michael E Green1, Baiju Shah1, Shahriar Khan1, Carmen R Jones1, Roseanne Sutherland1, Kristen Jacklin1, Jennifer D Walker2.   

Abstract

BACKGROUND: To improve diabetes care, First Nations leaders and others need access to population-level health data. We provide details of the collaborative methods we used to describe the prevalence and incidence of diabetes in First Nations people in Ontario and present demographic data for this population compared to the rest of the Ontario population.
METHODS: To identify the population of First Nations people and other people in Ontario, we created annual cohorts of the Ontario population for each year between Apr. 1, 1995, and Mar. 31, 2015. Through a partnership between First Nations and academic researchers, we linked provincial population-based health administrative data stored at ICES with the Indian Register, which identifies all Status First Nations people. Our collaborative process was guided by the First Nations principles of ownership, control, access and possession (OCAP).
RESULTS: Demographic characteristics for the 2014/15 cohort (n = 13 406 684) are presented here. The cohort includes 158 241 Status First Nations people and 13 248 443 other people living in Ontario. Using postal codes, we were able to identify virtually all (99.9%) First Nations people in Ontario as living in (n = 55 311) or outside (n =102 889) a First Nations community. First Nations people were younger and more likely to live in semiurban or rural areas than the rest of Ontario's population.
INTERPRETATION: The collaborative methodology used in this study is applicable to many jurisdictions working with Indigenous groups who have access to similar data. The Ontario cohort defined here is being used to conduct analyses of health outcomes and use of health care services among First Nations people with diabetes in Ontario. Copyright 2019, Joule Inc. or its licensors.

Entities:  

Year:  2019        PMID: 31767570      PMCID: PMC6944142          DOI: 10.9778/cmajo.20190096

Source DB:  PubMed          Journal:  CMAJ Open        ISSN: 2291-0026


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