BMJ Open (Feb 2023)

Canadians’ opinions towards COVID-19 data-sharing: a national cross-sectional survey

  • Ma'n Zawati,
  • Yann Joly,
  • Sarah A Savic Kallesoe,
  • Tian Rabbani,
  • Erin E Gill,
  • Fiona Brinkman,
  • Emma J Griffiths,
  • Hanshi Liu,
  • Nicole Palmour,
  • William W L Hsiao

DOI
https://doi.org/10.1136/bmjopen-2022-066418
Journal volume & issue
Vol. 13, no. 2

Abstract

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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.