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

被引:2
|
作者
Savic Kallesoe, Sarah A. [1 ,2 ]
Rabbani, Tian [1 ,3 ]
Gill, Erin E. [4 ]
Brinkman, Fiona [4 ]
Griffiths, Emma J. [1 ]
Zawati, Ma'n [5 ]
Liu, Hanshi [5 ]
Palmour, Nicole [5 ]
Joly, Yann [5 ]
Hsiao, William W. L. [1 ]
机构
[1] Simon Fraser Univ, Fac Hlth Sci, Burnaby, BC, Canada
[2] Univ Cambridge, Sch Clin Med, Dept Publ Hlth & Primary Care, Cambridge, England
[3] Univ British Columbia, Fac Educ, Sch Kinesiol, Vancouver, BC, Canada
[4] Simon Fraser Univ, Fac Sci, Dept Mol Biol & Biochem, Burnaby, BC, Canada
[5] McGill Univ, Fac Med & Hlth Sci, Dept Human Genet, Montreal, PQ, Canada
来源
BMJ OPEN | 2023年 / 13卷 / 02期
关键词
Public health; Epidemiology; Health policy; COVID-19; GENETICS;
D O I
10.1136/bmjopen-2022-066418
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
ObjectivesCOVID-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/outcomesA national cross-sectional survey was administered in Canada in March 2022, assessing Canadians' opinions on publicly sharing COVID-19 datatypes. Market research firm Leger was employed for recruitment and data collection.ParticipantsAnyone greater than or equal to 18 years and currently living in Canada.Results4981 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.ConclusionsThese 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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页数:13
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