Evidence map›Paper›PMID 38847325›Full record

Trial reportHealth communication2025

Effects of Implicit Racial Bias and Standardized Patient Race on Genetic Counseling Students' Patient-Centered Communication.

Chenery Lowe, Mary Catherine Beach, Lori H Erby, Barbara B Biesecker, Galen Joseph, Debra L Roter

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Health communication, 2025. 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

6 authors.

Chenery LoweCenter for Biomedical Ethics, Stanford University.ORCID 0000-0002-8759-6075
Mary Catherine BeachDivision of General Internal Medicine, Johns Hopkins University.
Lori H ErbyCenter for Precision Health Research, National Human Genome Research Institute.
Barbara B BieseckerRTI International, Analytics, Research Triangle Park.
Galen JosephDepartment of Humanities and Social Sciences, University of California San Francisco.
Debra L RoterDepartment of Health, Behavior and Society, Johns Hopkins University.

Funding

NHGRI/DIR Genetic Counseling Training ProgramZIEHG200353 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERBY, LORI · 2010 to 2025
$16.9M
The Stanford Training Program in ELSI ResearchT32HG008953 · NHGRI · STANFORD UNIVERSITY · PI Mildred K. Cho, Meghan Halley · 2016 to 2026
$3.1M
NHGRI NIH HHS T32 HG008953
6 · The paper itself

Abstract

Clinician racial bias has been associated with less patient-centered communication, but little is known about how it affects trainees' communication. We investigated genetic counseling students' communication during sessions with Black or White standardized patients (SPs) and the extent to which communication was associated with SP race or student scores on the Race Implicit Association Test (IAT). Sixty students conducted a baseline SP session and up to two follow-up sessions. Students were randomly assigned to a different White or Black SP and one of three clinical scenarios for each session. Fifty-six students completed the IAT. Session recordings were coded using the Roter Interaction Analysis System. Linear regression models assessed the effects of IAT score and SP race on a variety of patient-centered communication indicators. Random intercept models assessed the within-student effects of SP race on communication outcomes during the baseline session and in follow-up sessions (

Indexed as

CommunicationGenetic CounselingRacismStudents, MedicalAdultFemaleHumansMalePatient-Centered CarePatient SimulationWhite PeopleYoung Adult

Identifiers

PMID38847325
PMCPMC11624315

What OpenQuestion holds

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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.