Evidence map›Paper›PMID 35756546›Full record

ArticleSSM - population health2022

The association between household and neighborhood characteristics and COVID-19 related ICU admissions.

Andrew H Stephen, Sarah B Andrea, Debasree Banerjee, Mohammed Arafeh, Morgan Askew, Stephanie N Lueckel, Tareq Kheirbek, Leonard A Mermel, Charles A Adams, Mitchell M Levy and 1 more

Abstract read
In one paragraph

Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

11 authors.

Andrew H StephenAlpert Medical School at Brown University, Division of Trauma and Surgical Critical Care, Department of Surgery, Providence, RI, USA.
Sarah B AndreaLifespan Biostatistics Epidemiology & Research Design Core, Rhode Island Hospital, Providence, RI, USA.
Debasree BanerjeeAlpert Medical School at Brown University, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Providence, RI, USA.
Mohammed ArafehAlpert Medical School at Brown University, Division of Trauma and Surgical Critical Care, Department of Surgery, Providence, RI, USA.
Morgan AskewAlpert Medical School at Brown University, Providence, RI, USA.
Stephanie N LueckelAlpert Medical School at Brown University, Division of Trauma and Surgical Critical Care, Department of Surgery, Providence, RI, USA.
Tareq KheirbekAlpert Medical School at Brown University, Division of Trauma and Surgical Critical Care, Department of Surgery, Providence, RI, USA.
Leonard A MermelAlpert Medical School at Brown University, Division of Infectious Disease, Department of Medicine, Providence, RI, USA.
Charles A AdamsAlpert Medical School at Brown University, Division of Trauma and Surgical Critical Care, Department of Surgery, Providence, RI, USA.
Mitchell M LevyAlpert Medical School at Brown University, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Providence, RI, USA.
Daithi S HeffernanAlpert Medical School at Brown University, Division of Trauma and Surgical Critical Care, Department of Surgery, Providence, RI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Approaches to COVID-19 mitigation can be more efficiently delivered with a more detailed understanding of where the severe cases occur. Our objective was to assess which demographic, housing and neighborhood characteristics were independently and collectively associated with differing rates of severe COVID-19. Methods: A cohort of patients with SARS-CoV-2 in a single health system from March 1, 2020 to February 15, 2021 was reviewed to determine whether demographic, housing, or neighborhood characteristics are associated with higher rates of severe COVID-19 infections and to create a novel scoring index. Characteristics included proportion of multifamily homes, essential workers, and ages of the homes within neighborhoods. Results: There were 735 COVID-19 ICU admissions in the study interval which accounted for 61 percent of the state's ICU admissions for COVID-19. Compared to the general population of the state those admitted to the ICU with COVID-19 were disproportionately older, male sex, and were more often Black, Indigenous, People of Color. Patients disproportionately resided in neighborhoods with three plus unit multifamily homes, homes built before 1940, homes with more than one person to a room, homes of lower average value, and in neighborhoods with a greater proportion of essential workers. From this our COVID-19 Neighborhood Index value was comparatively higher for the ICU patients (61.1) relative to the population of Rhode Island (49.4). Conclusion: COVID-19-related ICU admissions are highly related to demographic, housing and neighborhood-level factors. This may guide more nuanced and targeted vaccine distribution plans and public health measures for future pandemics.

Indexed as

DemographicsHousingNeighborhoodsSevere COVID-19

Identifiers

PMID35756546
PMCPMC9212995

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LicenceCC BY-NC-ND
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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.