Evidence map›Paper›PMID 39529718›Full record

ArticleFrontiers in public health2024

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

Yang-Jie Zhu, Jia-Yue Wang, Chen-Nan Wu, Bo-Yang Yu, Tong-Tong Liu, Yuan Liu, Lu-Lu Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yang-Jie Zhu *Department of Military Health Management, College of Health Service, Naval Medical University, Shanghai, China.
Jia-Yue Wang *Department of Military Health Management, College of Health Service, Naval Medical University, Shanghai, China.
Chen-Nan Wu *Department of Military Health Management, College of Health Service, Naval Medical University, Shanghai, China.
Bo-Yang YuDepartment of Military Health Management, College of Health Service, Naval Medical University, Shanghai, China.
Tong-Tong LiuDepartment of Military Health Management, College of Health Service, Naval Medical University, Shanghai, China.
Yuan LiuDepartment of Military Health Management, College of Health Service, Naval Medical University, Shanghai, China.
Lu-Lu ZhangDepartment of Military Health Management, College of Health Service, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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; 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.

Indexed as

ComorbidityCOVID-19HospitalizationIntensive Care UnitsAdultAgedCross-Sectional StudiesFemaleHealthcare DisparitiesHumansMaleMarylandMiddle AgedPatient Acceptance of Health CarePatient AdmissionSARS-CoV-2Charlson Comorbidity Indexconcentration indexCOVID-19intensive care unitvertical equity

Identifiers

PMID39529718
PMCPMC11550993

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.