Evidence map›Paper›PMID 36166652›Full record

ArticleJMIR research protocols2022

Understanding Racial Disparities in COVID-19-Related Complications: Protocol for a Mixed Methods Study.

Jessica L Harding, Shivani A Patel, Teaniese Davis, Rachel E Patzer, Bennett McDonald, Doraina Walker-Williams, Ram Jagannathan, Larissa Teunis, Jennifer Gander

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2022. 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
1.0field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  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

9 authors at 3 institutions in 1 country.

Jessica L HardingDepartment of Surgery, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0002-6664-8630
Shivani A PatelHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0003-0082-5857
Teaniese DavisCenter for Research and Evaluation, Kaiser Permanente, Atlanta, GA, United States.ORCID https://orcid.org/0000-0001-7408-0291
Rachel E PatzerDepartment of Surgery, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0003-2573-9963
Bennett McDonaldCenter for Research and Evaluation, Kaiser Permanente, Atlanta, GA, United States.ORCID https://orcid.org/0000-0001-5202-5056
Doraina Walker-WilliamsCenter for Research and Evaluation, Kaiser Permanente, Atlanta, GA, United States.ORCID https://orcid.org/0000-0002-2933-0965
Ram JagannathanDivision of Hospital Medicine, Emory University School of Medicine, Atlanta, GA, United States.ORCID https://orcid.org/0000-0003-4267-5033
Larissa TeunisDepartment of Surgery, Emory University, Atlanta, GA, United States.ORCID https://orcid.org/0000-0001-7144-9073
Jennifer GanderCenter for Research and Evaluation, Kaiser Permanente, Atlanta, GA, United States.ORCID https://orcid.org/0000-0002-4798-0750
Emory University · USKaiser Permanente · USEmory University Hospital · US

Funding

Institute for Clinical and Translational ResearchUL1TR000424 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2012 to 2012
$6.0M
NCATS NIH HHS UL1 TR000424
6 · The paper itself

Abstract

backgroundIn the United States, the COVID-19 pandemic has magnified the disproportionate and long-standing health disparities experienced by Black communities. Although it is acknowledged that social determinants of health (SDOH) rather than biological factors likely contribute to this disparity, few studies using rigorous analytic approaches in large, information-rich community-based data sets are dedicated to understanding the underlying drivers of these racial disparities.

objectiveThe overall aim of our study is to elucidate the mechanisms by which racial disparities in severe COVID-19 outcomes arise, using both quantitative and qualitative methods.

methodsIn this protocol, we outline a convergent parallel mixed methods approach to identifying, quantifying, and contextualizing factors that contribute to the dramatic disparity in COVID-19 severity (ie, hospitalization, mortality) in Black versus white COVID-19 patients within the integrated health care system of Kaiser Permanente Georgia (KPGA). Toward this end, we will generate two quantitative cohorts of KPGA members with a confirmed COVID-19 diagnosis between January 1, 2020, and September 30, 2021: (1) an electronic medical record (EMR) cohort including routinely captured data on diagnoses, medications, and laboratory values, and a subset of patients hospitalized at Emory Healthcare to capture additional in-hospital data; and (2) a survey cohort, where participants will answer a range of questions related to demographics (eg, race, education), usual health behaviors (eg, physical activity, smoking), impact of COVID-19 (eg, job loss, caregiving responsibilities), and medical mistrust. Key outcomes of interest for these two cohorts include hospitalization, mortality, intensive care unit admission, hospital readmission, and long COVID-19. Finally, we will conduct qualitative semistructured interviews to capture perceptions of and experiences of being hospitalized with COVID-19 as well as related interactions with KPGA health care providers. We will analyze and interpret the quantitative and qualitative data separately, and then integrate the qualitative and quantitative findings using a triangulation design approach.

resultsThis study has been funded by a Woodruff Health Sciences grant from December 2020 to December 2022. As of August 31, 2022, 31,500 KPGA members diagnosed with COVID-19 have been included in the EMR cohort, including 3028 who were hospitalized at Emory Healthcare, and 482 KPGA members completed the survey. In addition, 20 KPGA members (10 Black and 10 white) have been interviewed about their experiences navigating care with COVID-19. Quantitative and qualitative data cleaning and coding have been completed. Data analysis is underway with results anticipated to be published in December 2022.

conclusionsResults from this mixed methods pilot study in a diverse integrated care setting in the southeastern United States will provide insights into the mechanisms underpinning racial disparities in COVID-19 complications. The quantitative and qualitative data will provide important context to generate hypotheses around the mechanisms for racial disparities in COVID-19, and may help to inform the development of multilevel strategies to reduce the burden of racial disparities in COVID-19 and its ongoing sequelae. Incorporating contextual information, elucidated from qualitative interviews, will increase the efficacy, adoption, and sustainability of such strategies. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/38914.

Indexed as

complicationsCOVID-19disease severitydisparityequityethnicityhealthmixed methodsmortalitypandemicraceracialsocial determinants of health

Identifiers

PMID36166652
PMCPMC9555818
OpenAlexW4296923780

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.