Evidence map›Paper›PMID 35257312›Full record

ArticleJournal of racial and ethnic health disparities2023

Evaluating Racial/Ethnic Differences in Care Escalation Among COVID-19 Patients in a Home-Based Hospital.

Tsai-Ling Liu, Shih-Hsiung Chou, Stephanie Murphy, Marc Kowalkowski, Yhenneko J Taylor, Colleen Hole, Kranthi Sitammagari, Jennifer S Priem, Andrew McWilliams

Open access · bronzeAbstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2023. 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
2.8field-weighted citation impact, top 10% of its field
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, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
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

9 authors at 1 institution in 1 country.

Tsai-Ling LiuCenter for Outcomes Research and Evaluation (CORE), Atrium Health, 1300 Scott Ave, Charlotte, NC, 28204, USA. Tsai-Ling.Liu@atriumhealth.org.ORCID 0000-0001-6661-082X
Shih-Hsiung ChouCenter for Outcomes Research and Evaluation (CORE), Atrium Health, 1300 Scott Ave, Charlotte, NC, 28204, USA.ORCID 0000-0001-5414-1958
Stephanie MurphyDivision of Hospital Medicine, Department of Internal Medicine, Atrium Health, Charlotte, NC, USA.
Marc KowalkowskiCenter for Outcomes Research and Evaluation (CORE), Atrium Health, 1300 Scott Ave, Charlotte, NC, 28204, USA.ORCID 0000-0003-2624-4209
Yhenneko J TaylorCenter for Outcomes Research and Evaluation (CORE), Atrium Health, 1300 Scott Ave, Charlotte, NC, 28204, USA.ORCID 0000-0002-5336-5666
Colleen HolePopulation Health, Atrium Health, Charlotte, NC, USA.ORCID 0000-0002-4863-5043
Kranthi SitammagariDivision of Hospital Medicine, Department of Internal Medicine, Atrium Health, Charlotte, NC, USA.
Jennifer S PriemCenter for Outcomes Research and Evaluation (CORE), Atrium Health, 1300 Scott Ave, Charlotte, NC, 28204, USA.ORCID 0000-0002-5064-1178
Andrew McWilliamsCenter for Outcomes Research and Evaluation (CORE), Atrium Health, 1300 Scott Ave, Charlotte, NC, 28204, USA.ORCID 0000-0003-3406-9201
Atrium Medical Cente · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus disease 2019 (COVID-19) has infected over 414 million people worldwide with 5.8 million deaths, as of February 2022. Telemedicine-based interventions to expand healthcare systems' capacity and reduce infection risk have rapidly increased during the pandemic, despite concerns regarding equitable access. Atrium Health Hospital at Home (AH-HaH) is a home-based program that provides advanced, hospital-level medical care and monitoring for patients who would otherwise be hospitalized in a traditional setting. Our retrospective cohort study of positive COVID-19 patients who were admitted to AH-HaH aims to investigate whether the rate of care escalation from AH-HaH to traditional hospitalization differed based on patients' racial/ethnic backgrounds. Logistic regression was used to examine the association between care escalation within 14 days from index AH-HaH admission and race/ethnicity. We found approximately one in five patients receiving care for COVID-19 in AH-HaH required care escalation within 14 days. Odds of care escalation were not significantly different for Hispanic or non-Hispanic Blacks compared to non-Hispanic Whites. However, secondary analyses showed that both Hispanic and non-Hispanic Black patients were younger and with fewer comorbidities than non-Hispanic Whites. The study highlights the need for new care models to vigilantly monitor for disparities, so that timely and tailored adaptations can be implemented for vulnerable populations.

Indexed as

COVID-19Healthcare DisparitiesHome Care ServicesBlack PeopleEthnicityHispanic or LatinoHospitalsHumansRetrospective StudiesWhite PeopleCare escalationCOVID-19Home-based hospitalRacial/ethnic

Identifiers

PMID35257312
PMCPMC8900643
OpenAlexW4220816321

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.