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Indigenizing our research: indigenous community leadership in HIV epidemiology research
The use of data intensive health research has allowed for greater understandings of population health. When conducting data intensive health research, engaging and involving the community is essential for conducting meaningful research that is responsive to the public’s needs. Particularly, when eng...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Swansea University
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8135074/ https://www.ncbi.nlm.nih.gov/pubmed/34036181 http://dx.doi.org/10.23889/ijpds.v6i1.1386 |
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author | Nicholson, Valerie Bratu, Andreea McClean, Alison R Jawanda, Simran Aran, Niloufar Hillstrom, Knighton Hennie, Evelyn Cardinal, Claudette Benson, Elizabeth Beaver, Kerrigan Benoit, Anita C Hogg, Bob Jaworsky, Denise |
author_facet | Nicholson, Valerie Bratu, Andreea McClean, Alison R Jawanda, Simran Aran, Niloufar Hillstrom, Knighton Hennie, Evelyn Cardinal, Claudette Benson, Elizabeth Beaver, Kerrigan Benoit, Anita C Hogg, Bob Jaworsky, Denise |
author_sort | Nicholson, Valerie |
collection | PubMed |
description | The use of data intensive health research has allowed for greater understandings of population health. When conducting data intensive health research, engaging and involving the community is essential for conducting meaningful research that is responsive to the public’s needs. Particularly, when engaging Indigenous communities in research, there is a need to understand historical and ongoing impacts of colonialism and recognize the strengths in Indigenous Peoples’ knowledges and experiences while supporting Indigenous leadership and self-determination in research. This article describes the approach our research team/organization used to engage and involve Indigenous people living with HIV in three research projects using large, linked datasets and looking at HIV outcomes of Indigenous populations in Canada. The foundation of these projects was simultaneously: 1) supporting Indigenous people living with HIV to be involved as research team members, 2) developing research questions to answer with available datasets, and 3) integrating Indigenous and Western ways of knowing. We have identified important considerations and suggestions for engaging and involving Indigenous communities and individuals in the generation of research ideas and analysis of linked data using community-based participatory research approaches through our work. These include engaging stakeholders at the start of the project and involving them throughout the research process, honouring Indigenous ways of knowing, the land, and local protocols and traditions, prioritizing Indigenous voices, promoting co-learning and building capacity, and focusing on developing longitudinal relationships. We describe keys to success and learnings that emerged. Importantly, the methodology practiced and presented in this manuscript is not a qualitative study design whereby research subjects are surveyed about their experiences or beliefs. Rather, the study approach described herein is about engaging people with living experience to co-lead as researchers. Our approach supported Indigenous people to share research that addresses their research priorities and responds to issues relevant to Indigenous Peoples and communities. |
format | Online Article Text |
id | pubmed-8135074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Swansea University |
record_format | MEDLINE/PubMed |
spelling | pubmed-81350742021-05-24 Indigenizing our research: indigenous community leadership in HIV epidemiology research Nicholson, Valerie Bratu, Andreea McClean, Alison R Jawanda, Simran Aran, Niloufar Hillstrom, Knighton Hennie, Evelyn Cardinal, Claudette Benson, Elizabeth Beaver, Kerrigan Benoit, Anita C Hogg, Bob Jaworsky, Denise Int J Popul Data Sci Population Data Science The use of data intensive health research has allowed for greater understandings of population health. When conducting data intensive health research, engaging and involving the community is essential for conducting meaningful research that is responsive to the public’s needs. Particularly, when engaging Indigenous communities in research, there is a need to understand historical and ongoing impacts of colonialism and recognize the strengths in Indigenous Peoples’ knowledges and experiences while supporting Indigenous leadership and self-determination in research. This article describes the approach our research team/organization used to engage and involve Indigenous people living with HIV in three research projects using large, linked datasets and looking at HIV outcomes of Indigenous populations in Canada. The foundation of these projects was simultaneously: 1) supporting Indigenous people living with HIV to be involved as research team members, 2) developing research questions to answer with available datasets, and 3) integrating Indigenous and Western ways of knowing. We have identified important considerations and suggestions for engaging and involving Indigenous communities and individuals in the generation of research ideas and analysis of linked data using community-based participatory research approaches through our work. These include engaging stakeholders at the start of the project and involving them throughout the research process, honouring Indigenous ways of knowing, the land, and local protocols and traditions, prioritizing Indigenous voices, promoting co-learning and building capacity, and focusing on developing longitudinal relationships. We describe keys to success and learnings that emerged. Importantly, the methodology practiced and presented in this manuscript is not a qualitative study design whereby research subjects are surveyed about their experiences or beliefs. Rather, the study approach described herein is about engaging people with living experience to co-lead as researchers. Our approach supported Indigenous people to share research that addresses their research priorities and responds to issues relevant to Indigenous Peoples and communities. Swansea University 2021-05-20 /pmc/articles/PMC8135074/ /pubmed/34036181 http://dx.doi.org/10.23889/ijpds.v6i1.1386 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
spellingShingle | Population Data Science Nicholson, Valerie Bratu, Andreea McClean, Alison R Jawanda, Simran Aran, Niloufar Hillstrom, Knighton Hennie, Evelyn Cardinal, Claudette Benson, Elizabeth Beaver, Kerrigan Benoit, Anita C Hogg, Bob Jaworsky, Denise Indigenizing our research: indigenous community leadership in HIV epidemiology research |
title | Indigenizing our research: indigenous community leadership in HIV epidemiology research |
title_full | Indigenizing our research: indigenous community leadership in HIV epidemiology research |
title_fullStr | Indigenizing our research: indigenous community leadership in HIV epidemiology research |
title_full_unstemmed | Indigenizing our research: indigenous community leadership in HIV epidemiology research |
title_short | Indigenizing our research: indigenous community leadership in HIV epidemiology research |
title_sort | indigenizing our research: indigenous community leadership in hiv epidemiology research |
topic | Population Data Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8135074/ https://www.ncbi.nlm.nih.gov/pubmed/34036181 http://dx.doi.org/10.23889/ijpds.v6i1.1386 |
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