Evidence map›Paper›PMID 38506811›Full record

ArticleJAMA network open2024

Racial Implicit Bias and Communication Among Physicians in a Simulated Environment.

Cristina M Gonzalez, Tavinder K Ark, Marla R Fisher, Paul R Marantz, Diana J Burgess, Felise Milan, Malika T Samuel, Monica L Lypson, Carlos J Rodriguez, Adina L Kalet

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
31.7field-weighted citation impact, top 1% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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  15. Are those all my options? Evaluating oncologists' communication strategies in treatment and clinical trial discussions by race and gender.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 8 institutions in 1 country.

Cristina M GonzalezInstitute for Excellence in Health Equity, New York University Grossman School of Medicine, New York.
Tavinder K ArkMedical College of Wisconsin, Milwaukee.
Marla R FisherDepartment of Psychiatry, Mount Sinai Morningside-West, New York, New York.
Paul R MarantzDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York.
Diana J BurgessDepartment of Medicine, University of Minnesota, Minneapolis.
Felise MilanDepartment of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Malika T SamuelNew York University Tisch School of the Arts, New York.
Monica L LypsonColumbia University Vagelos College of Physicians and Surgeons, New York, New York.
Carlos J RodriguezDepartment of Medicine and Epidemiology & Population Health, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Adina L KaletMedical College of Wisconsin, Milwaukee.
Albert Einstein College of Medicine · USMedical College of Wisconsin · USColumbia University Irving Medical Center · USMinneapolis VA Health Care System · USMontefiore Medical Center · USMount Sinai Hospital · USNew York University · USTisch Hospital · US

Funding

Does Implicit Bias Influence Medical Decision-Making? Developing and Validating Novel Models and Outcome MetricsK23MD014178 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GONZALEZ, CRISTINA M · 2019 to 2023
$853k
NIMHD NIH HHS K23 MD014178
6 · The paper itself

Abstract

Importance: Racial implicit bias can contribute to health disparities through its negative influence on physician communication with Black patients. Interventions for physicians to address racial implicit bias in their clinical encounters are limited by a lack of high-fidelity (realistic) simulations to provide opportunities for skill development and practice. Objective: To describe the development and initial evaluation of a high-fidelity simulation of conditions under which physicians might be influenced by implicit racial bias. Design, Setting, and Participants: This cross-sectional study, performed on an online platform from March 1 to September 30, 2022, recruited a convenience sample of physician volunteers to pilot an educational simulation. Exposures: In the simulation exercise, physicians saw a 52-year-old male standardized patient (SP) (presenting as Black or White) seeking urgent care for epigastric pain, nausea, and vomiting. The case included cognitive stressors common to clinical environments, including clinical ambiguity, stress, time constraints, and interruptions. Physicians explained their diagnosis and treatment plan to the SP, wrote an assessment and management plan, completed surveys, and took the Race Implicit Association Test (IAT) and Race Medical Cooperativeness IAT. The SPs, blinded to the purpose of the study, assessed each physician's communication using skills checklists and global rating scales. Main Outcomes and Measures: Association between physicians' IAT scores and SP race with SP ratings of communication skills. Results: In 60 physicians (23 [38.3%] Asian, 4 [6.7%] Black, 23 [38.3%] White, and 10 [16.7%] other, including Latina/o/x, Middle Eastern, and multiracial; 31 [51.7%] female, 27 [45.0%] male, and 2 [3.3%] other), the interaction of physicians' Race IAT score and SP race was significant for overall communication (mean [SD] β = -1.29 [0.41]), all subdomains of communication (mean [SD] β = -1.17 [0.52] to -1.43 [0.59]), and overall global ratings (mean [SD] β = -1.09 [0.39]). Black SPs rated physicians lower on communication skills for a given pro-White Race IAT score than White SPs; White SP ratings increased as physicians' pro-White bias increased. Conclusions and Relevance: In this cross-sectional study, a high-fidelity simulation calibrated with cognitive stressors common to clinical environments elicited the expected influence of racial implicit bias on physicians' communication skills. The outlined process and preliminary results can inform the development and evaluation of interventions that seek to address racial implicit bias in clinical encounters and improve physician communication with Black patients.

Indexed as

Bias, ImplicitRacismAbdominal PainCommunicationCross-Sectional StudiesFemaleHumansMaleMiddle Aged

Identifiers

PMID38506811
PMCPMC10955368
OpenAlexW4392986117

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.