Open Access
Open access

Equity evaluation of intensive care unit admission based on comorbidity in hospitalized patients with COVID-19: a cross-sectional analysis

Yang-Jie Zhu 1
Jia-Yue Wang 1
Chen-Nan Wu 1
Bo-Yang Yu 1, 2
Tong-Tong Liu 1, 3
Yuan Liu 1
Lu-Lu Zhang 1
2
 
Department of Medical Health Service, General Hospital of Northern Theater Command of PLA, Shenyang, China
3
 
Department of Medical Health Service, 969th Hospital of PLA Joint Logistics Support Forces, Hohhot, China
Publication typeJournal Article
Publication date2024-10-28
scimago Q1
wos Q1
SJR1.027
CiteScore5.5
Impact factor3.4
ISSN22962565
Abstract
Background

Intensive care unit (ICU) beds played a crucial role in reducing mortality rates of patients with severe COVID-19. The surge in the number of patients led to a shortage of ICU beds, which may have exacerbated inequity of healthcare utilization. However, most attention has been focused on the horizontal equity in healthcare utilization, where individuals with the same needs receive the same services. Vertical equity, where individuals with higher needs receive more healthcare is often neglected, which might overestimate the equity. This study analyzes the vertical equity of ICU utilization among hospitalized patients with COVID-19.

Methods

In total, 18,547 hospitalized patients with COVID-19 in Maryland in 2020 were enrolled in this cross-sectional study. Logistic regression analysis was conducted to determine the independent factors affecting ICU utilization, and the Shapley value decomposition approach was implemented to assess the contribution of the independent variables to disparities in ICU admission. A concentration curve and concentration index were used to assess the vertical equity in healthcare utilization.

Results

ICU utilization by patients with COVID-19 was significantly affected by Charlson Comorbidity Index (CCI), with odds ratios (OR) 1.09 [95% confidence intervals (CI): 1.07–1.10; p < 0.001] in univariable analysis and 1.11 (95% CI: 1.09–1.13; p < 0.001) in multivariable regression analysis. The most important contributors were household income (32.27%) and the CCI (22.89%) in the Shapley value decomposition analysis. The concentration curve was below the line of equity, and the concentration index was 0.094 (95% CI: 0.076–0.111; p < 0.001), indicating that ICU utilization was concentrated among patients with a high CCI. These results were robust for all subgroup analyses.

Conclusion

Among 18,547 hospitalized patients with COVID-19 in Maryland in 2020, ICU utilization was significantly affected by comorbid conditions. The concentration curve and concentration index also indicated that ICU utilization was more concentrated in patients with a higher CCI. The results was consistent with the principle of vertical equity, whereby healthcare resources are more concentrated on COVID-19 patients with higher health needs.

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Zhu Y. et al. Equity evaluation of intensive care unit admission based on comorbidity in hospitalized patients with COVID-19: a cross-sectional analysis // Frontiers in Public Health. 2024. Vol. 12.
GOST all authors (up to 50) Copy
Zhu Y., Wang J., Wu C., Yu B., Liu T., Liu Y., Zhang L. Equity evaluation of intensive care unit admission based on comorbidity in hospitalized patients with COVID-19: a cross-sectional analysis // Frontiers in Public Health. 2024. Vol. 12.
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RIS Copy
TY - JOUR
DO - 10.3389/fpubh.2024.1430462
UR - https://www.frontiersin.org/articles/10.3389/fpubh.2024.1430462/full
TI - Equity evaluation of intensive care unit admission based on comorbidity in hospitalized patients with COVID-19: a cross-sectional analysis
T2 - Frontiers in Public Health
AU - Zhu, Yang-Jie
AU - Wang, Jia-Yue
AU - Wu, Chen-Nan
AU - Yu, Bo-Yang
AU - Liu, Tong-Tong
AU - Liu, Yuan
AU - Zhang, Lu-Lu
PY - 2024
DA - 2024/10/28
PB - Frontiers Media S.A.
VL - 12
PMID - 39529718
SN - 2296-2565
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Zhu,
author = {Yang-Jie Zhu and Jia-Yue Wang and Chen-Nan Wu and Bo-Yang Yu and Tong-Tong Liu and Yuan Liu and Lu-Lu Zhang},
title = {Equity evaluation of intensive care unit admission based on comorbidity in hospitalized patients with COVID-19: a cross-sectional analysis},
journal = {Frontiers in Public Health},
year = {2024},
volume = {12},
publisher = {Frontiers Media S.A.},
month = {oct},
url = {https://www.frontiersin.org/articles/10.3389/fpubh.2024.1430462/full},
doi = {10.3389/fpubh.2024.1430462}
}