Unlocking First Nations health information through data linkage
INTRODUCTION: The importance of Indigenous data sovereignty and Indigenous-led research processes is increasingly being recognized in Canada and internationally. For First Nations in Ontario, Canada, access to routinely-collected demographic and health systems data is critical to planning and measur...
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ftpubmed:oai:pubmedcentral.nih.gov:7299468 2023-05-15T16:13:58+02:00 Unlocking First Nations health information through data linkage Walker, Jennifer D Pyper, Evelyn Jones, Carmen R Khan, Saba Chong, Nelson Legge, Dan Schull, Michael J Henry, David 2018-05-22 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299468/ http://www.ncbi.nlm.nih.gov/pubmed/32935010 https://doi.org/10.23889/ijpds.v3i1.450 en eng Swansea University http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299468/ http://www.ncbi.nlm.nih.gov/pubmed/32935010 http://dx.doi.org/10.23889/ijpds.v3i1.450 https://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. CC-BY-NC-ND Int J Popul Data Sci Population Data Science Text 2018 ftpubmed https://doi.org/10.23889/ijpds.v3i1.450 2020-09-20T00:16:36Z INTRODUCTION: The importance of Indigenous data sovereignty and Indigenous-led research processes is increasingly being recognized in Canada and internationally. For First Nations in Ontario, Canada, access to routinely-collected demographic and health systems data is critical to planning and measuring health status and outcomes in their populations. Linkage of this data with the Indian Register (IR), under First Nations data governance, has unlocked data for use by First Nations organizations and communities. OBJECTIVES: To describe the linkage of the IR database to the Ontario Registered Persons Database (RPDB) within the context of Indigenous data sovereignty principles. METHODS: Deterministic and probabilistic record linkage methods were used to link the IR to the RPDB. There is no established population of First Nations people living in Ontario with which we could establish a linkage rate. Accordingly, several approaches were taken to determine a denominator that would represent the total population of First Nations we would hope to link to the RPDB. RESULTS: Overall, 201,678 individuals in the national IR database matched to Ontario health records by way of the RPDB, of which 98,562 were female and 103,116 were male. Of those First Nations individuals linked to the RPDB, 90.2% (n=181,915) lived in Ontario when they first registered with IR, or were affiliated with an Ontario First Nation Community. The proportion of registered First Nations people linking to the RPDB improved across time, from 62.8% in the 1960s to 94.5% in 2012. CONCLUSION: This linkage of the IR and RPDB has resulted in the creation of the largest First Nations health research study cohort in Canada. The linked data are being used by First Nations communities to answer questions that ultimately promote wellbeing, effective policy, and healing Text First Nations PubMed Central (PMC) Canada Indian International Journal of Population Data Science 3 1 |
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PubMed Central (PMC) |
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English |
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Population Data Science |
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Population Data Science Walker, Jennifer D Pyper, Evelyn Jones, Carmen R Khan, Saba Chong, Nelson Legge, Dan Schull, Michael J Henry, David Unlocking First Nations health information through data linkage |
topic_facet |
Population Data Science |
description |
INTRODUCTION: The importance of Indigenous data sovereignty and Indigenous-led research processes is increasingly being recognized in Canada and internationally. For First Nations in Ontario, Canada, access to routinely-collected demographic and health systems data is critical to planning and measuring health status and outcomes in their populations. Linkage of this data with the Indian Register (IR), under First Nations data governance, has unlocked data for use by First Nations organizations and communities. OBJECTIVES: To describe the linkage of the IR database to the Ontario Registered Persons Database (RPDB) within the context of Indigenous data sovereignty principles. METHODS: Deterministic and probabilistic record linkage methods were used to link the IR to the RPDB. There is no established population of First Nations people living in Ontario with which we could establish a linkage rate. Accordingly, several approaches were taken to determine a denominator that would represent the total population of First Nations we would hope to link to the RPDB. RESULTS: Overall, 201,678 individuals in the national IR database matched to Ontario health records by way of the RPDB, of which 98,562 were female and 103,116 were male. Of those First Nations individuals linked to the RPDB, 90.2% (n=181,915) lived in Ontario when they first registered with IR, or were affiliated with an Ontario First Nation Community. The proportion of registered First Nations people linking to the RPDB improved across time, from 62.8% in the 1960s to 94.5% in 2012. CONCLUSION: This linkage of the IR and RPDB has resulted in the creation of the largest First Nations health research study cohort in Canada. The linked data are being used by First Nations communities to answer questions that ultimately promote wellbeing, effective policy, and healing |
format |
Text |
author |
Walker, Jennifer D Pyper, Evelyn Jones, Carmen R Khan, Saba Chong, Nelson Legge, Dan Schull, Michael J Henry, David |
author_facet |
Walker, Jennifer D Pyper, Evelyn Jones, Carmen R Khan, Saba Chong, Nelson Legge, Dan Schull, Michael J Henry, David |
author_sort |
Walker, Jennifer D |
title |
Unlocking First Nations health information through data linkage |
title_short |
Unlocking First Nations health information through data linkage |
title_full |
Unlocking First Nations health information through data linkage |
title_fullStr |
Unlocking First Nations health information through data linkage |
title_full_unstemmed |
Unlocking First Nations health information through data linkage |
title_sort |
unlocking first nations health information through data linkage |
publisher |
Swansea University |
publishDate |
2018 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299468/ http://www.ncbi.nlm.nih.gov/pubmed/32935010 https://doi.org/10.23889/ijpds.v3i1.450 |
geographic |
Canada Indian |
geographic_facet |
Canada Indian |
genre |
First Nations |
genre_facet |
First Nations |
op_source |
Int J Popul Data Sci |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299468/ http://www.ncbi.nlm.nih.gov/pubmed/32935010 http://dx.doi.org/10.23889/ijpds.v3i1.450 |
op_rights |
https://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.23889/ijpds.v3i1.450 |
container_title |
International Journal of Population Data Science |
container_volume |
3 |
container_issue |
1 |
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1765999818198482944 |