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1.
BMJ Open ; 11(9), 2021.
Article in English | ProQuest Central | ID: covidwho-1843018

ABSTRACT

IntroductionDecades of research demonstrate that First Nations, Metis and Inuit (FN/M/I) populations have differential access to diagnostic and therapeutic healthcare. Emerging evidence shows that this continues to be the case during the SARS-CoV-2 pandemic. In an effort to rectify these differences in access to care, our team, which is co-led by FN/M/I partners, will generate and distribute evidence on COVID-19 diagnostic testing and vaccination in high-priority FN/M/I populations in Manitoba, with the goal of identifying system-level and individual-level factors that act as barriers to equitable care and thereby informing Indigenous-led public health responses.Methods and analysisOur nations-based approach focuses on FN/M/I populations with separate study arms for each group. Linked administrative health data on COVID-19 diagnostic testing and vaccinations are available on a weekly basis. We will conduct surveillance to monitor trends in testing and vaccination among each FN/M/I population and all other Manitobans, map the geographic distribution of these outcomes by health region and tribal council, and identify barriers to testing and vaccination to inform public health strategies. We will follow the course of the pandemic starting from January 2020 and report findings quarterly.Ethics and disseminationEthics approvals have been granted by the University of Manitoba Research Ethics Board and from each of our FN/M/I partners’ organisations. Our team is committed to engaging in authentic relationship-based research that follows First Nations, Metis and Inuit research ethics principles. Our FN/M/I partners will direct the dissemination of new information to leadership in their communities (health directors, community health organisations) and to decision-makers in the provincial Ministry of Health. We will also publish in open-access journals. The study will create ongoing capacity to monitor Manitoba’s pandemic response and ensure potential health inequities are minimised, with learnings applicable to other jurisdictions where detailed administrative data may not be available.

2.
Int J Circumpolar Health ; 81(1): 2008614, 2022 12.
Article in English | MEDLINE | ID: covidwho-1662091

ABSTRACT

Scientific publications predominantly focus on research outcomes. Increasingly, community partnerships and relationships are mentioned, especially in research conducted with Indigenous communities. In partnership-based research, Indigenous communities expect researchers to contribute in a multitude of ways that go beyond doing research. This article reports on a series of unforeseen, yet positive contributions realised in the Qanuinngitsiarutiksait study, undertaken between 2015 and 2021. These contributions are different from the main outcomes of the study. Salient unforeseen benefits included the strengthening of the Manitoba Inuit community through hosting community feasts, games, and virtual events; creating opportunities to increase the visibility of Inuit Elders at University public events; supporting the growth of the Manitoba Inuit Association in terms of staff, programmes, and presence at provincial policy tables; leveraging relationships towards the development of Inuit-centric primary healthcare services in Winnipeg; creating a method to identify Inuit in provincial administrative datasets which were used to track COVID-19 infection rates and ensure equity in access to testing and vaccines. As a result, the Manitoba Inuit Association's visibility has increased, and Inuit Elders have become essential contributors of Indigenous knowledge at Manitoba-based events, as First Nations and Metis have been for decades. This transformation appears to be sustainable.


Subject(s)
COVID-19 , Aged , Humans , Manitoba , SARS-CoV-2 , Universities
3.
International Indigenous Policy Journal ; 11(3), 2020.
Article in English | ProQuest Central | ID: covidwho-937787

ABSTRACT

Objectives: This article articulates the complexity of modeling in First Nations, Metis, and Inuit contexts by providing the results of a modeling exercise completed at the request of the First Nations Health and Social Secretariat of Manitoba. Methods: We developed a model using the impact of a previous pandemic (the 2009 H1N1) to generate estimates. Results: The lack of readily available data has resulted in a model that assumes homogeneity of communities in terms of health status, behaviour, and infrastructure limitations. While homogeneity may be a reasonable assumption for province-wide planning, First Nation communities and Tribal Councils require more precise information in order to plan effectively. Metis and urban Inuit communities, in contrast, have access to much less information, making the role of Indigenous organizations mandated to serve the needs of these populations that much more difficult. Conclusion: For many years, Indigenous organizations have advocated for the need to have access to current and precise data to meet their needs. The COVID-19 pandemic demonstrates the importance of timely and accurate community-based data to support pandemic responses.

4.
Int J Environ Res Public Health ; 17(22)2020 11 11.
Article in English | MEDLINE | ID: covidwho-927688

ABSTRACT

The study is on racism against First Nation peoples in the Canadian healthcare system. The study design incorporates principles of grounded theory, participant and Indigenous (decolonizing) research. Four questions are addressed: (1) What is the root cause of racism against First Nation peoples in the healthcare system? (2) What factors perpetuate racisms existence? (3) What are the impacts of racism on First Nation health? (4) What needs to be done to eradicate racism and to create an equitable healthcare system that sufficiently represents the needs, interests and values of First Nation peoples?


Subject(s)
Delivery of Health Care , Indigenous Canadians , Racism , Canada , Delivery of Health Care/standards , Delivery of Health Care/statistics & numerical data , Humans , Indigenous Canadians/statistics & numerical data , Racism/prevention & control , Racism/statistics & numerical data
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