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Canadians’ opinions towards COVID-19 data-sharing: a national cross-sectional survey
OBJECTIVES: COVID-19 research has significantly contributed to pandemic response and the enhancement of public health capacity. COVID-19 data collected by provincial/territorial health authorities in Canada are valuable for research advancement yet not readily available to the public, including rese...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905784/ https://www.ncbi.nlm.nih.gov/pubmed/36750286 http://dx.doi.org/10.1136/bmjopen-2022-066418 |
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author | Savic Kallesoe, Sarah A Rabbani, Tian Gill, Erin E Brinkman, Fiona Griffiths, Emma J Zawati, Ma'n Liu, Hanshi Palmour, Nicole Joly, Yann Hsiao, William W L |
author_facet | Savic Kallesoe, Sarah A Rabbani, Tian Gill, Erin E Brinkman, Fiona Griffiths, Emma J Zawati, Ma'n Liu, Hanshi Palmour, Nicole Joly, Yann Hsiao, William W L |
author_sort | Savic Kallesoe, Sarah A |
collection | PubMed |
description | OBJECTIVES: COVID-19 research has significantly contributed to pandemic response and the enhancement of public health capacity. COVID-19 data collected by provincial/territorial health authorities in Canada are valuable for research advancement yet not readily available to the public, including researchers. To inform developments in public health data-sharing in Canada, we explored Canadians’ opinions of public health authorities sharing deidentified individual-level COVID-19 data publicly. DESIGN/SETTING/INTERVENTIONS/OUTCOMES: A national cross-sectional survey was administered in Canada in March 2022, assessing Canadians’ opinions on publicly sharing COVID-19 datatypes. Market research firm Léger was employed for recruitment and data collection. PARTICIPANTS: Anyone greater than or equal to 18 years and currently living in Canada. RESULTS: 4981 participants completed the survey with a 92.3% response rate. 79.7% were supportive of provincial/territorial authorities publicly sharing deidentified COVID-19 data, while 20.3% were hesitant/averse/unsure. Datatypes most supported for being shared publicly were symptoms (83.0% in support), geographical region (82.6%) and COVID-19 vaccination status (81.7%). Datatypes with the most aversion were employment sector (27.4% averse), postal area (26.7%) and international travel history (19.7%). Generally supportive Canadians were characterised as being ≥50 years, with higher education, and being vaccinated against COVID-19 at least once. Vaccination status was the most influential predictor of data-sharing opinion, with respondents who were ever vaccinated being 4.20 times more likely (95% CI 3.21 to 5.48, p=0.000) to be generally supportive of data-sharing than those unvaccinated. CONCLUSIONS: These findings suggest that the Canadian public is generally favourable to deidentified data-sharing. Identifying factors that are likely to improve attitudes towards data-sharing are useful to stakeholders involved in data-sharing initiatives, such as public health agencies, in informing the development of public health communication and data-sharing policies. As Canada progresses through the COVID-19 pandemic, and with limited testing and reporting of COVID-19 data, it is essential to improve deidentified data-sharing given the public’s general support for these efforts. |
format | Online Article Text |
id | pubmed-9905784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-99057842023-02-08 Canadians’ opinions towards COVID-19 data-sharing: a national cross-sectional survey Savic Kallesoe, Sarah A Rabbani, Tian Gill, Erin E Brinkman, Fiona Griffiths, Emma J Zawati, Ma'n Liu, Hanshi Palmour, Nicole Joly, Yann Hsiao, William W L BMJ Open Public Health OBJECTIVES: COVID-19 research has significantly contributed to pandemic response and the enhancement of public health capacity. COVID-19 data collected by provincial/territorial health authorities in Canada are valuable for research advancement yet not readily available to the public, including researchers. To inform developments in public health data-sharing in Canada, we explored Canadians’ opinions of public health authorities sharing deidentified individual-level COVID-19 data publicly. DESIGN/SETTING/INTERVENTIONS/OUTCOMES: A national cross-sectional survey was administered in Canada in March 2022, assessing Canadians’ opinions on publicly sharing COVID-19 datatypes. Market research firm Léger was employed for recruitment and data collection. PARTICIPANTS: Anyone greater than or equal to 18 years and currently living in Canada. RESULTS: 4981 participants completed the survey with a 92.3% response rate. 79.7% were supportive of provincial/territorial authorities publicly sharing deidentified COVID-19 data, while 20.3% were hesitant/averse/unsure. Datatypes most supported for being shared publicly were symptoms (83.0% in support), geographical region (82.6%) and COVID-19 vaccination status (81.7%). Datatypes with the most aversion were employment sector (27.4% averse), postal area (26.7%) and international travel history (19.7%). Generally supportive Canadians were characterised as being ≥50 years, with higher education, and being vaccinated against COVID-19 at least once. Vaccination status was the most influential predictor of data-sharing opinion, with respondents who were ever vaccinated being 4.20 times more likely (95% CI 3.21 to 5.48, p=0.000) to be generally supportive of data-sharing than those unvaccinated. CONCLUSIONS: These findings suggest that the Canadian public is generally favourable to deidentified data-sharing. Identifying factors that are likely to improve attitudes towards data-sharing are useful to stakeholders involved in data-sharing initiatives, such as public health agencies, in informing the development of public health communication and data-sharing policies. As Canada progresses through the COVID-19 pandemic, and with limited testing and reporting of COVID-19 data, it is essential to improve deidentified data-sharing given the public’s general support for these efforts. BMJ Publishing Group 2023-02-07 /pmc/articles/PMC9905784/ /pubmed/36750286 http://dx.doi.org/10.1136/bmjopen-2022-066418 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Public Health Savic Kallesoe, Sarah A Rabbani, Tian Gill, Erin E Brinkman, Fiona Griffiths, Emma J Zawati, Ma'n Liu, Hanshi Palmour, Nicole Joly, Yann Hsiao, William W L Canadians’ opinions towards COVID-19 data-sharing: a national cross-sectional survey |
title | Canadians’ opinions towards COVID-19 data-sharing: a national cross-sectional survey |
title_full | Canadians’ opinions towards COVID-19 data-sharing: a national cross-sectional survey |
title_fullStr | Canadians’ opinions towards COVID-19 data-sharing: a national cross-sectional survey |
title_full_unstemmed | Canadians’ opinions towards COVID-19 data-sharing: a national cross-sectional survey |
title_short | Canadians’ opinions towards COVID-19 data-sharing: a national cross-sectional survey |
title_sort | canadians’ opinions towards covid-19 data-sharing: a national cross-sectional survey |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905784/ https://www.ncbi.nlm.nih.gov/pubmed/36750286 http://dx.doi.org/10.1136/bmjopen-2022-066418 |
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