Evidence map›Paper›PMID 37074996›Full record

ArticlePLOS global public health2023

Inequitable care delivery toward COVID-19 positive people of color and people with disabilities.

Danbi Lee, Paula M Kett, Selina A Mohammed, Bianca K Frogner, Janice Sabin

Abstract read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Danbi LeeDepartment of Rehabilitation Medicine and Disability Studies Program, University of Washington, Seattle, WA, Untied States of America.ORCID https://orcid.org/0000-0002-5931-8772
Paula M KettCenter for Health Workforce Studies, Department of Family Medicine, University of Washington, Seattle, WA, Untied States of America.ORCID https://orcid.org/0000-0002-8524-6493
Selina A MohammedCenter for Health Workforce Studies, Department of Family Medicine, University of Washington, Seattle, WA, Untied States of America.
Bianca K FrognerCenter for Health Workforce Studies, Department of Family Medicine, University of Washington, Seattle, WA, Untied States of America.ORCID https://orcid.org/0000-0002-5120-1828
Janice SabinCenter for Health Workforce Studies, Department of Family Medicine, University of Washington, Seattle, WA, Untied States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to explore provider observations of inequitable care delivery towards COVID-19 positive patients who are Black, Indigenous, and Other People of Color (BIPOC) and/or have disabilities and to identify ways the health workforce may be contributing to and compounding inequitable care. We conducted semi-structured interviews between April and November 2021 with frontline healthcare providers from Washington, Florida, Illinois, and New York. Using thematic analysis, major themes related to discriminatory treatment included decreased care, delayed care, and fewer options for care. Healthcare providers' bias and stigma, organizational bias, lack of resources, fear of transmission, and burnout were mentioned as drivers for discriminatory treatment. COVID-19 related health system policies such as visitor restrictions and telehealth follow-ups inadvertently resulted in discriminatory practices towards BIPOC patients and patients with disabilities. As patients experience lower quality healthcare during the pandemic, COVID-19-related restrictions and policies compounded existing inequitable care for these populations.

Identifiers

PMID37074996
PMCPMC10115306

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.