Evidence map›Paper›PMID 38603670›Full record

ArticlePloS one2024

Hospital segregation, critical care strain, and inpatient mortality during the COVID-19 pandemic in New York City.

Anna Zhilkova, Laila Alsabahi, Donald Olson, Duncan Maru, Tsu-Yu Tsao, Michelle E Morse

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. New Yorkers Speak Up: Community Perspectives on Improving Healthcare Experiences in New York City.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Article
  3. Alternative Approaches to Characterizing Disparate Care by Race, Ethnicity, and Insurance Between Hospitals.International journal of environmental research and public health · 2025
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Anna ZhilkovaCenter for Health Equity and Community Wellness at the New York City Department of Health and Mental Hygiene, Long Island City, NY, United States of America.
Laila AlsabahiCenter for Health Equity and Community Wellness at the New York City Department of Health and Mental Hygiene, Long Island City, NY, United States of America.
Donald OlsonCenter for Health Equity and Community Wellness at the New York City Department of Health and Mental Hygiene, Long Island City, NY, United States of America.
Duncan MaruCenter for Health Equity and Community Wellness at the New York City Department of Health and Mental Hygiene, Long Island City, NY, United States of America.ORCID 0000-0002-5923-6910
Tsu-Yu TsaoCenter for Health Equity and Community Wellness at the New York City Department of Health and Mental Hygiene, Long Island City, NY, United States of America.ORCID 0000-0001-9705-685X
Michelle E MorseCenter for Health Equity and Community Wellness at the New York City Department of Health and Mental Hygiene, Long Island City, NY, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital segregation by race, ethnicity, and health insurance coverage is prevalent, with some hospitals providing a disproportionate share of undercompensated care. We assessed whether New York City (NYC) hospitals serving a higher proportion of Medicaid and uninsured patients pre-pandemic experienced greater critical care strain during the first wave of the COVID-19 pandemic, and whether this greater strain was associated with higher rates of in-hospital mortality.

methodsIn a retrospective analysis of all-payer NYC hospital discharge data, we examined changes in admissions, stratified by use of intensive care unit (ICU), from the baseline period in early 2020 to the first COVID-19 wave across hospital quartiles (265,329 admissions), and crude and risk-adjusted inpatient mortality rates, also stratified by ICU use, in the first COVID wave across hospital quartiles (23,032 inpatient deaths), based on the proportion of Medicaid or uninsured admissions from 2017-2019 (quartile 1 lowest to 4 highest). Logistic regressions were used to assess the cross-sectional association between ICU strain, defined as ICU volume in excess of the baseline average, and patient-level mortality.

resultsICU admissions in the first COVID-19 wave were 84%, 97%, 108%, and 123% of the baseline levels by hospital quartile 1-4, respectively. The risk-adjusted mortality rates for ICU admissions were 36.4 (CI = 34.7,38.2), 43.6 (CI = 41.5,45.8), 45.9 (CI = 43.8,48.1), and 45.7 (CI = 43.6,48.0) per 100 admissions, and those for non-ICU admissions were 8.6 (CI = 8.3,9.0), 10.9 (CI = 10.6,11.3), 12.6 (CI = 12.1,13.0), and 12.1 (CI = 11.6,12.7) per 100 admissions by hospital quartile 1-4, respectively. Compared with the reference group of 100% or less of the baseline weekly average, ICU admissions on a day for which the ICU volume was 101-150%, 151-200%, and > 200% of the baseline weekly average had odds ratios of 1.17 (95% CI = 1.10, 1.26), 2.63 (95% CI = 2.31, 3.00), and 3.26 (95% CI = 2.82, 3.78) for inpatient mortality, and non-ICU admissions on a day for which the ICU volume was 101-150%, 151-200%, and > 200% of the baseline weekly average had odds ratios of 1.28 (95% CI = 1.22, 1.34), 2.60 (95% CI = 2.40, 2.82), and 3.44 (95% CI = 3.11, 3.63) for inpatient mortality.

conclusionsOur findings are consistent with hospital segregation as a potential driver of COVID-related mortality inequities and highlight the need to desegregate health care to address structural racism, advance health equity, and improve pandemic resiliency.

Indexed as

COVID-19Critical CareCross-Sectional StudiesHospital MortalityHospitalsHumansInpatientsIntensive Care UnitsNew York CityPandemicsRetrospective StudiesUnited States

Identifiers

PMID38603670
PMCPMC11008816

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.