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Comparison of socio-economic determinants of COVID-19 testing and positivity in Canada: A multi-provincial analysis

Author: Lilia Antonova, Chandy Somayaji, Jillian Cameron, Monica Sirski, Maria E. Sundaram, James Ted McDonald, Sharmistha Mishra, Jeffrey C. Kwong, Alan Katz, Stefan Baral, Lisa Caulley, Andrew Calzavara, Martin Corsten, Stephanie Johnson-Obaseki
Year: 2023
Category: Health Publications, Economy and Labour

Read the journal article in PLOS ONE

Background

The effects of the COVID-19 pandemic have been more pronounced for socially disadvantaged populations. We sought to determine how access to SARS-CoV-2 testing and the likelihood of testing positive for COVID-19 were associated with demographic factors, socioeconomic status (SES) and social determinants of health (SDH) in three Canadian provinces.

Methods

An observational population-based cross-sectional study was conducted for the provinces of Ontario, Manitoba and New Brunswick between March 1, 2020 and April 27, 2021, using provincial health administrative data. After excluding residents of long-term care homes, those without current provincial health insurance and those who were tested for COVID-19 out of province, records from provincial healthcare administrative databases were reviewed for 16,900,661 healthcare users. Data was modelled separately for each province in accordance to a prespecified protocol and follow-up consultations among provincial statisticians and collaborators. We employed univariate and multivariate regression models to examine determinants of testing and test results.

Results

After adjustment for other variables, female sex and urban residency were positively associated with testing, while female sex was negatively associated with test positivity. In New Brunswick and Ontario, individuals living in higher income areas were more likely to be tested, whereas in Manitoba higher income was negatively associated with both testing and positivity. High ethnocultural composition was associated with lower testing rates. Both high ethnocultural composition and high situational vulnerability increased the odds of testing positive for SARS-CoV-2.