Evidence map›Paper›PMID 35138395›Full record

ArticleJAMA network open2022

Nonmedical Transdisciplinary Perspectives of Black and Racially and Ethnically Diverse Individuals About Antiracism Practices: A Qualitative Study.

Megha Shankar, Joy Cox, Juliana Baratta, Gisselle De Leon, Jonathan G Shaw, Sonoo Thadaney Israni, Donna M Zulman, Cati G Brown-Johnson

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Megha ShankarDivision of General Internal Medicine, Department of Medicine, University of California, San Diego.
Joy CoxPresence Center, Stanford University School of Medicine, Stanford, California.
Juliana BarattaDivision of Primary Care and Population Health, Stanford University School of Medicine, Stanford, California.
Gisselle De LeonDivision of Primary Care and Population Health, Stanford University School of Medicine, Stanford, California.
Jonathan G ShawDivision of Primary Care and Population Health, Stanford University School of Medicine, Stanford, California.
Sonoo Thadaney IsraniPresence Center, Stanford University School of Medicine, Stanford, California.
Donna M ZulmanDivision of Primary Care and Population Health, Stanford University School of Medicine, Stanford, California.
Cati G Brown-JohnsonDivision of Primary Care and Population Health, Stanford University School of Medicine, Stanford, California.
Stanford University · USCenter for Innovation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Overwhelming evidence that anti-Black racism is associated with health inequities is driving clinician demand for antiracism practices that promote health equity. Objective: To investigate how nonmedical professionals address personally mediated, institutional, and internalized racism and to adapt these practices for the clinical setting. Design, Setting, and Participants: Using an approach from human-centered design for this qualitative study, virtual qualitative interviews were conducted among 40 professionals from nonmedical fields to investigate antiracism practices used outside of medicine. Inductive thematic analysis was conducted to identify latent themes and practices that may be adaptable to health care, subsequently using an established theoretical framework describing levels of racism to interpret and organize themes. Convenience and purposive sampling was used to recruit participants via email, social media, and electronic flyers. Main Outcomes and Measures: Antiracism practices adapted to medicine. Results: Among 40 professionals from nonmedical fields, most were younger than age 40 years (23 individuals [57.5%]) and there were 20 (50.0%) women; there were 25 Black or African American individuals (62.5%); 4 East Asian, Southeast Asian, or South Asian individuals (10.0%); 3 individuals with Hispanic, Latinx, or Spanish origin (7.5%); and 3 White individuals. Participants described personally mediated, institutional, and internalized antiracism practices that may be adaptable to promote health equity for Black patients. Personally mediated antiracism practices included dialogue and humble inquiry, building trust, and allyship and shared humanity; clinicians may be able to adopt these practices by focusing on patient successes, avoiding stigmatizing language in the electronic health record, and using specific phrases to address racism in the moment. Institutional antiracism practices included education, representation, and mentorship; in the health care setting, clinics may be able to develop staff affiliate groups, focus on improving racial health equity outcomes, and conduct antiracism trainings. Internalized antiracism practices centered on authenticity; clinicians may be able to write positionality statements reflecting their identity and the expertise they bring to clinical encounters. Conclusions and Relevance: This study's findings suggest that antiracism practices from outside the health care sector may offer innovative strategies to promote health equity by addressing personally mediated, institutional, and internalized racism in clinical care.

Indexed as

Delivery of Health CareHealth InequitiesAdolescentAdultAgedAttitude of Health PersonnelBlack or African AmericanBlack PeopleEthnicityFemaleHealth PersonnelHumansMaleMiddle AgedRacismYoung Adult

Identifiers

PMID35138395
PMCPMC8829657
OpenAlexW4210835718

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.