Differential Patterns by Area-Level Social Determinants of Health in Coronavirus Disease 2019 (COVID-19)–Related Mortality and Non–COVID-19 Mortality: A Population-Based Study of 11.8 Million People in Ontario, Canada

Author:

Wang Linwei1,Calzavara Andrew2,Baral Stefan3,Smylie Janet145,Chan Adrienne K5678,Sander Beate27910,Austin Peter C278,Kwong Jeffrey C25101112,Mishra Sharmistha156713

Affiliation:

1. MAP-Centre for Urban Health Solutions, St. Michael's Hospital, Unity Health Toronto , Toronto, Ontario , Canada

2. ICES , Toronto, Ontario , Canada

3. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland , USA

4. Well Living House , Toronto, Ontario , Canada

5. Dalla Lana School of Public Health, University of Toronto , Toronto, Ontario , Canada

6. Department of Medicine, University of Toronto , Toronto, Ontario , Canada

7. Institute of Health Policy, Management, and Evaluation, University of Toronto , Toronto, Ontario , Canada

8. Sunnybrook Health Sciences Centre , Toronto, Ontario , Canada

9. Toronto Health Economics and Technology Assessment Collaborative, University Health Network , Toronto, Ontario , Canada

10. Public Health Ontario , Toronto, Ontario , Canada

11. Department of Family and Community Medicine, University of Toronto , Toronto, Ontario , Canada

12. University Health Network , Toronto, Ontario , Canada

13. Institute of Medical Sciences, University of Toronto , Toronto, Ontario , Canada

Abstract

Abstract Background Social determinants of health (SDOH) have been associated with coronavirus disease 2019 (COVID-19) outcomes. We examined patterns in COVID-19–related mortality by SDOH and compared these patterns to those for non–COVID-19 mortality. Methods Residents of Ontario, Canada, aged ≥20 years were followed from 1 March 2020 to 2 March 2021. COVID-19–related death was defined as death within 30 days following or 7 days prior to a positive COVID-19 test. Area-level SDOH from the 2016 census included median household income; proportion with diploma or higher educational attainment; proportion essential workers, racially minoritized groups, recent immigrants, apartment buildings, and high-density housing; and average household size. We examined associations between SDOH and COVID-19–related mortality, and non-COVID-19 mortality using cause-specific hazard models. Results Of 11 810 255 individuals, we observed 3880 COVID-19–related deaths and 88 107 non–COVID-19 deaths. After accounting for demographics, baseline health, and other area-level SDOH, the following were associated with increased hazards of COVID-19–related death (hazard ratio [95% confidence interval]: lower income (1.30 [1.04–1.62]), lower educational attainment (1.27 [1.07–1.52]), higher proportions essential workers (1.28 [1.05–1.57]), racially minoritized groups (1.42 [1.08–1.87]), apartment buildings (1.25 [1.07–1.46]), and large vs medium household size (1.30 [1.12–1.50]). Areas with higher proportion racially minoritized groups were associated with a lower hazard of non–COVID-19 mortality (0.88 [0.84–0.92]). Conclusions Area-level SDOH are associated with COVID-19–related mortality after accounting for demographic and clinical factors. COVID-19 has reversed patterns of lower non–COVID-19 mortality among racially minoritized groups. Pandemic responses should include strategies to address disproportionate risks and inequitable coverage of preventive interventions associated with SDOH.

Funder

Canadian Institutes of Health Research

St. Michael’s Hospital Foundation

ICES

MOH and the MLTC

a Tier 2 Canada Research Chair in Mathematical Modelling and Program Science

University of Toronto Department of Family and Community Medicine

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

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