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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.
  • Savic Kallesoe SA; Simon Fraser University Faculty of Health Sciences, Burnaby, British Columbia, Canada.
  • Rabbani T; Department of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, UK.
  • Gill EE; Simon Fraser University Faculty of Health Sciences, Burnaby, British Columbia, Canada.
  • Brinkman F; School of Kinesiology, The University of British Columbia Faculty of Education, Vancouver, British Columbia, Canada.
  • Griffiths EJ; Department of Molecular Biology and Biochemistry, Simon Fraser University Faculty of Sciences, Burnaby, British Columbia, Canada.
  • Zawati M; Department of Molecular Biology and Biochemistry, Simon Fraser University Faculty of Sciences, Burnaby, British Columbia, Canada.
  • Liu H; Simon Fraser University Faculty of Health Sciences, Burnaby, British Columbia, Canada.
  • Palmour N; Department of Human Genetics, McGill University Faculty of Medicine and Health Sciences, Montreal, Québec, Canada.
  • Joly Y; Department of Human Genetics, McGill University Faculty of Medicine and Health Sciences, Montreal, Québec, Canada.
  • Hsiao WWL; Department of Human Genetics, McGill University Faculty of Medicine and Health Sciences, Montreal, Québec, Canada.
BMJ Open ; 13(2): e066418, 2023 02 07.
Article in English | MEDLINE | ID: covidwho-2235284
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Humans Country/Region as subject: North America Language: English Journal: BMJ Open Year: 2023 Document Type: Article Affiliation country: Bmjopen-2022-066418

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Humans Country/Region as subject: North America Language: English Journal: BMJ Open Year: 2023 Document Type: Article Affiliation country: Bmjopen-2022-066418