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Factors affecting access to administrative health data for research in Canada: a study protocol
INTRODUCTION: In Canada, most provinces have established administrative health data repositories to facilitate access to these data for research. Anecdotally, researchers have described delays and substantial inter-provincial variations in the timeliness of data access approvals and receipt of data....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Swansea University
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477899/ https://www.ncbi.nlm.nih.gov/pubmed/34632104 http://dx.doi.org/10.23889/ijpds.v6i1.1653 |
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author | Kendell, Cynthia Levy, Adrian R Porter, Geoff Gibson, Elaine Urquhart, Robin |
author_facet | Kendell, Cynthia Levy, Adrian R Porter, Geoff Gibson, Elaine Urquhart, Robin |
author_sort | Kendell, Cynthia |
collection | PubMed |
description | INTRODUCTION: In Canada, most provinces have established administrative health data repositories to facilitate access to these data for research. Anecdotally, researchers have described delays and substantial inter-provincial variations in the timeliness of data access approvals and receipt of data. Currently, the reasons for these delays and variations in timeliness are not well understood. This paper provides a study protocol for (1) identifying the factors affecting access to administrative health data for research within select Canadian provinces, and (2) comparing factors across provinces to assess whether and how they contribute to inter-provincial variations in access to administrative health data for research. METHODS: A qualitative, multiple-case study research design will be used. Three cases will be included, representing three different provinces. For each case, data will be collected from documents and interviews. Specifically, interviews will be carried out with (1) research stakeholders, and (2) regulatory stakeholders (10 individuals/group * 2 groups/province * 3 provinces = 60). During within-case analysis, interview data for each stakeholder group will be analyzed separately using constant comparative analysis. Document analysis will occur iteratively, and will inform interview guide adaptation, and supplement interview data. Cross-case analysis will involve systematic comparison of findings across cases. DISCUSSION: This study represents the first in-depth examination of access to administrative health data in Canada. The main outcome will be an overarching mid-range theory explaining inter-provincial variations in access to administrative health data in Canada. This theory will be strengthened by the inclusion of the perspectives of both researchers and those involved in the regulation of data access. The findings from this study may be used to improve equitable and timely access to administrative health data across provinces, and may be transferable to other jurisdictions where barriers to access to administrative health data have been reported. |
format | Online Article Text |
id | pubmed-8477899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Swansea University |
record_format | MEDLINE/PubMed |
spelling | pubmed-84778992021-10-08 Factors affecting access to administrative health data for research in Canada: a study protocol Kendell, Cynthia Levy, Adrian R Porter, Geoff Gibson, Elaine Urquhart, Robin Int J Popul Data Sci Population Data Science INTRODUCTION: In Canada, most provinces have established administrative health data repositories to facilitate access to these data for research. Anecdotally, researchers have described delays and substantial inter-provincial variations in the timeliness of data access approvals and receipt of data. Currently, the reasons for these delays and variations in timeliness are not well understood. This paper provides a study protocol for (1) identifying the factors affecting access to administrative health data for research within select Canadian provinces, and (2) comparing factors across provinces to assess whether and how they contribute to inter-provincial variations in access to administrative health data for research. METHODS: A qualitative, multiple-case study research design will be used. Three cases will be included, representing three different provinces. For each case, data will be collected from documents and interviews. Specifically, interviews will be carried out with (1) research stakeholders, and (2) regulatory stakeholders (10 individuals/group * 2 groups/province * 3 provinces = 60). During within-case analysis, interview data for each stakeholder group will be analyzed separately using constant comparative analysis. Document analysis will occur iteratively, and will inform interview guide adaptation, and supplement interview data. Cross-case analysis will involve systematic comparison of findings across cases. DISCUSSION: This study represents the first in-depth examination of access to administrative health data in Canada. The main outcome will be an overarching mid-range theory explaining inter-provincial variations in access to administrative health data in Canada. This theory will be strengthened by the inclusion of the perspectives of both researchers and those involved in the regulation of data access. The findings from this study may be used to improve equitable and timely access to administrative health data across provinces, and may be transferable to other jurisdictions where barriers to access to administrative health data have been reported. Swansea University 2021-09-23 /pmc/articles/PMC8477899/ /pubmed/34632104 http://dx.doi.org/10.23889/ijpds.v6i1.1653 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 Kendell, Cynthia Levy, Adrian R Porter, Geoff Gibson, Elaine Urquhart, Robin Factors affecting access to administrative health data for research in Canada: a study protocol |
title | Factors affecting access to administrative health data for research in Canada: a study protocol |
title_full | Factors affecting access to administrative health data for research in Canada: a study protocol |
title_fullStr | Factors affecting access to administrative health data for research in Canada: a study protocol |
title_full_unstemmed | Factors affecting access to administrative health data for research in Canada: a study protocol |
title_short | Factors affecting access to administrative health data for research in Canada: a study protocol |
title_sort | factors affecting access to administrative health data for research in canada: a study protocol |
topic | Population Data Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477899/ https://www.ncbi.nlm.nih.gov/pubmed/34632104 http://dx.doi.org/10.23889/ijpds.v6i1.1653 |
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