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"Bring the Hoses to Where the Fire Is!": Differential Impacts of Marginalization and Socioeconomic Status on COVID-19 Case Counts and Healthcare Costs. | LitMetric

AI Article Synopsis

  • The study investigated COVID-19 case counts and healthcare costs in Ontario, Canada, focusing on marginalized populations, highlighting how low socioeconomic status disproportionately affects infection rates.
  • It involved a cohort of 28,893 individuals, with findings indicating significant case concentration in low-income neighborhoods and that costs varied by sex and comorbidities but were largely consistent across marginalization levels.
  • The authors suggest that targeted resource allocation for marginalized groups could enhance equality in health outcomes and decrease the overall burden on the healthcare system.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072854PMC
http://dx.doi.org/10.1016/j.jval.2022.03.019DOI Listing

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