Abstract
Objectives
Local health leaders and the Director General of the World Health Organization alike have observed that COVID-19 “does not discriminate.” Nevertheless, the disproportionate representation of people of low socioeconomic status among those infected resembles discrimination. This population-based retrospective cohort study examined COVID-19 case counts and publicly funded healthcare costs in Ontario, Canada, with a focus on marginalization.
Methods
Individuals with their first positive severe acute respiratory syndrome coronavirus 2 test from January 1, 2020 to June 30, 2020, were linked to administrative databases and matched to negative/untested controls. Mean net (COVID-19–attributable) costs were estimated for 30 days before and after diagnosis, and differences among strata of age, sex, comorbidity, and measures of marginalization were assessed using analysis of variance tests.
Results
We included 28 893 COVID-19 cases (mean age 54 years, 56% female). Most cases remained in the community (20 545, 71.1%) or in long-term care facilities (4478, 15.5%), whereas 944 (3.3%) and 2926 (10.1%) were hospitalized, with and without intensive care unit, respectively.
Case counts were skewed across marginalization strata with 2 to 7 times more cases in neighborhoods with low income, high material deprivation, and highest ethnic concentration.
Mean net costs after diagnosis were higher for males ($4752 vs $2520 for females) and for cases with higher comorbidity ($1394-$7751) (both P < .001) but were similar across levels of most marginalization dimensions (range $3232-$3737, all P ≥ .19).
Conclusions
This study suggests that allocating resources unequally to marginalized individuals may improve equality in outcomes. It highlights the importance of reducing risk of COVID-19 infection among marginalized individuals to reduce overall costs and increase system capacity.
【저자키워드】 COVID-19, Canada, socioeconomic status, costs and costs analyses, marginalization, universal healthcare, 【초록키워드】 coronavirus, Hospitalized, intensive care, Infection, Diagnosis, Comorbidity, Sex, database, outcomes, Health, healthcare, male, female, Community, age, resource, Care, Concentration, Deprivation, World Health Organization, retrospective cohort study, analysis of variance, acute respiratory syndrome, COVID-19 case, individual, measure, MOST, dimension, females, objective, risk of COVID-19, controls, highlight, first positive, IMPROVE, Result, highest, examined, remained, reducing, reduce, skewed, were assessed, 【제목키워드】 Impact, fire, status, count, Hose,