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. 2025 May 14;20(5):e0322780.
doi: 10.1371/journal.pone.0322780. eCollection 2025.

Universal health care delivery mitigates socioeconomic-related risk for adverse outcomes in hospitalised patients: Lessons from the COVID-19 pandemic in Australia

Fahimeh Faqihi  1   2   3 , Rita Perri  1   2   3 , Jimmy Chien  1   2   3 , Jin-Gun Cho  1   2   3 , Stephen Milne  1   2   3 , Shopna Bag  4   5 , Nicole Gilroy  6 , John R Wheatley  1   2   3 , Kristina Kairaitis  1   2   3
Affiliations

Universal health care delivery mitigates socioeconomic-related risk for adverse outcomes in hospitalised patients: Lessons from the COVID-19 pandemic in Australia

Fahimeh Faqihi et al. PLoS One. .

Abstract

Background: Internationally, socioeconomic disadvantage is related to severe outcomes of COVID-19. We investigated the impact of socioeconomic disadvantage on infection rates, hospitalisation, and in-hospital outcomes for COVID-19 with standardised medical care.

Methods: This retrospective cross-sectional study included SARS-CoV-2 PCR-confirmed patients ≥18 years, admitted to a major public hospital between January 2020 and December 2021. Severe COVID-19 outcomes were defined by a composite outcome of in-hospital death or other critical complications. A generalised linear regression model of demographic features, co-existing conditions, and socioeconomic status was used to determine the risks of the composite outcome.

Results: Of 797,343 individuals ≥18 years in the health district, 50,906 (6.4%) were PCR-positive, and 1,962 were hospitalised. Compared with the whole health district population, infected individuals were younger (median [interquartile range] age 35 [25-48] years vs 42 [31-58] years) and from areas with the greatest socioeconomic disadvantage (34.4% vs 20%; both p < 0.0001). Hospitalised patients were older, with more females compared to the PCR-positive group (46 years [33-61], 53.5%, respectively; p < 0.001), and 51.2% were from postcodes with greatest socioeconomic disadvantage (p < 0.0001). The composite outcome occurred in 11.5%, with an in-hospital mortality of 3.8%. Higher risk of the composite outcome was observed in males (OR 1.72, 95% CI [1.26-2.42], p < 0.001), patients aged ≥ 65 years (OR 6.96, [3.3-14.6], p < 0.001), those with ≥ 4 comorbidities (OR 2.67, [1.54-4.63], p < 0.001), and unvaccinated patients (OR 1.57, [1.05-2.38], p < 0.05). The risk of composite outcome did not increase with socioeconomic disadvantage (OR 0.97, [0.68, 1.42], p = 0.64).

Conclusion: In the absence of capacity restraints, socioeconomic disadvantage was not associated with severe in-hospital outcomes in a well-resourced care environment despite increased rates of infection and hospitalisation. This highlights the impact of universally accessible, standardised, protocolised, high-quality in-hospital care in reducing the risk of adverse in-hospital outcomes in socioeconomically disadvantaged patients.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Age distribution of individuals
≥ 18 in 2020-2021. A) the whole health district population, B) all SARS CoV-2 PCR-positive individuals in the health district, and C) all patients hospitalised with COVID-19. The dashed vertical line represents the median.
Fig 2
Fig 2. Population distribution (%) of socioeconomic disadvantage.
A) the whole health district population. B) all SARS-CoV-2 PCR-positive individuals in the health district. C) all patients hospitalised for COVID-19. D) Heatmap illustrating the significant levels of differences for pairwise comparisons; ns = not significant.
Fig 3
Fig 3. Odds ratios and 95% CI for variables predicting composite outcome.
The dashed red line indicates the odd ratio of 1 (reference category meaning no effect).
See this image and copyright information in PMC

References

    1. Department of Health and Human Services. Healthy People 2030, U.S. [Internet]. Washington (DC): U.S. Department of Health and Human Services; 2024. [cited 2024 Aug 12]. Available from: https://health.gov/healthypeople/objectives-and-data/social-determinants...
    1. Upshaw TL, Brown C, Smith R, Perri M, Ziegler C, Pinto AD. Social determinants of COVID-19 incidence and outcomes: A rapid review. PLoS One. 2021;16(3):e0248336. doi: 10.1371/journal.pone.0248336 - DOI - PMC - PubMed
    1. Hawkins RB, Charles EJ, Mehaffey JH. Socio-economic status and COVID-19-related cases and fatalities. Public Health. 2020;189:129–34. doi: 10.1016/j.puhe.2020.09.016 - DOI - PMC - PubMed
    1. Rohleder S, Costa DD, Bozorgmehr PK. Area-level socioeconomic deprivation, non-national residency, and Covid-19 incidence: A longitudinal spatiotemporal analysis in Germany. EClinicalMedicine. 2022;49:101485. doi: 10.1016/j.eclinm.2022.101485 - DOI - PMC - PubMed
    1. Niedzwiedz CL, O’Donnell CA, Jani BD, Demou E, Ho FK, Celis-Morales C, et al.. Ethnic and socioeconomic differences in SARS-CoV-2 infection: prospective cohort study using UK Biobank. BMC Med. 2020;18(1):160. doi: 10.1186/s12916-020-01640-8 - DOI - PMC - PubMed

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