Evidence map›Paper›PMID 34730508›Full record

Observational studyJournal of hospital medicine2021

Association of Healthcare Access With Intensive Care Unit Utilization and Mortality in Patients of Hispanic Ethnicity Hospitalized With COVID-19.

Ferdinand Velasco, Donghan M Yang, Minzhe Zhang, Tanna Nelson, Thomas Sheffield, Tony Keller, Yiqing Wang, Clark Walker, Chaitanya Katterapalli, Kelli Zimmerman and 4 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of hospital medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Observational
  10. Article
  11. Socio-Economic Factors Associated with Ethnic Disparities in SARS-CoV-2 Infection and Hospitalization.International journal of environmental research and public health · 2023
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
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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

14 authors.

Ferdinand VelascoTexas Health Resources, Arlington, Texas.
Donghan M YangQuantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas.
Minzhe ZhangQuantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas.
Tanna NelsonTexas Health Resources, Arlington, Texas.
Thomas SheffieldQuantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas.
Tony KellerTexas Health Resources, Arlington, Texas.
Yiqing WangQuantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas.
Clark WalkerTexas Health Resources, Arlington, Texas.
Chaitanya KatterapalliTexas Health Resources, Arlington, Texas.
Kelli ZimmermanTexas Health Resources, Arlington, Texas.
Andrew MasicaTexas Health Resources, Arlington, Texas.
Christoph U LehmannClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas.
Yang XieQuantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas.
John W HollingsworthTexas Health Harris Methodist Hospital, Fort Worth, Texas.

Funding

UT Southwestern Center for Translational MedicineUL1TR003163 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2021 to 2025
$39.3M
Cancer Biology Training GrantT32CA124334 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SHAY, JERRY WILLIAM · 2007 to 2021
$5.3M
Novel computational approaches to predict drug response and combination effectsR35GM136375 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI XIE, YANG · 2020 to 2024
$2.0M
NCATS NIH HHS UL1 TR003163NCI NIH HHS T32 CA124334NIGMS NIH HHS R35 GM136375
6 · The paper itself

Abstract

backgroundRacial and ethnic minority groups in the United States experience a disproportionate burden of COVID-19 deaths.

objectiveTo evaluate whether outcome differences between Hispanic and non-Hispanic COVID-19 hospitalized patients exist and, if so, to identify the main malleable contributing factors. DESIGN, SETTING,

participantsRetrospective, cross-sectional, observational study of 6097 adult COVID-19 patients hospitalized within a single large healthcare system from March to November 2020. EXPOSURES: Self-reported ethnicity and primary language. MAIN OUTCOMES AND MEASURES: Clinical outcomes included intensive care unit (ICU) utilization and in-hospital death. We used age-adjusted odds ratios (OR) and multivariable analysis to evaluate the associations between ethnicity/language groups and outcomes.

results32.1% of patients were Hispanic, 38.6% of whom reported a non-English primary language. Hispanic patients were less likely to be insured, have a primary care provider, and have accessed the healthcare system prior to the COVID-19 admission. After adjusting for age, Hispanic inpatients experienced higher ICU utilization (non-English-speaking: OR, 1.75; 95% CI, 1.47-2.08; English-speaking: OR, 1.13; 95% CI, 0.95-1.33) and higher mortality (non-English-speaking: OR, 1.43; 95% CI, 1.10-1.86; English-speaking: OR, 1.53; 95% CI, 1.19-1.98) compared to non-Hispanic inpatients. There were no observed treatment disparities among ethnic groups. After adjusting for age, Hispanic inpatients had elevated disease severity at admission (non-English-speaking: OR, 2.27; 95% CI, 1.89-2.72; English-speaking: OR, 1.33; 95% CI, 1.10- 1.61). In multivariable analysis, the associations between ethnicity/language and clinical outcomes decreased after considering baseline disease severity (P < .001).

conclusionThe associations between ethnicity and clinical outcomes can be explained by elevated disease severity at admission and limited access to healthcare for Hispanic patients, especially non-English-speaking Hispanics.

Indexed as

COVID-19EthnicityAdultCross-Sectional StudiesHealth Services AccessibilityHispanic or LatinoHospital MortalityHumansIntensive Care UnitsMinority GroupsRetrospective StudiesSARS-CoV-2United States

Identifiers

PMID34730508
PMCPMC8577697

What OpenQuestion holds

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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.