Evidence map›Paper›PMID 34130567›Full record

ArticleHealth communication2023

Investigating the Relationship between Resident Physician Implicit Bias and Language Use during a Clinical Encounter with Hispanic Patients.

Katherine J Wolsiefer, Matthias Mehl, Gordon B Moskowitz, Colleen K Cagno, Colin A Zestcott, Alma Tejeda-Padron, Jeff Stone

Open access · greenAbstract read
In one paragraph

Article in Health communication, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 4 institutions in 1 country.

Katherine J WolsieferDepartment of Psychology, Plymouth State University.
Matthias MehlDepartment of Psychology, University of Arizona.
Gordon B MoskowitzDepartment of Psychology, Lehigh University.
Colleen K CagnoDepartment of Family and Community Medicine, University of Arizona.
Colin A ZestcottDepartment of Psychology & Sociology, College of St. Scholastica.
Alma Tejeda-PadronDepartment of Psychology, University of Arizona.
Jeff StoneDepartment of Psychology, University of Arizona.
University of Arizona · USCollege of St. Scholastica · USLehigh University · USPlymouth State University · US

Funding

Reducing implicit verbal and nonverbal bias toward Hispanic patientsR01MD008940 · NIMHD · UNIVERSITY OF ARIZONA · PI STONE, JEFFREY A · 2014 to 2018
$1.9M
NIMHD NIH HHS R01 MD008940
6 · The paper itself

Abstract

Prior research suggests that the implicit biases of physicians are negatively associated with quality of medical care and patient satisfaction among minority patients. However, relatively little is known about how physicians express these subtle forms of bias in patient interactions. This study examined the implicit and explicit anti-Hispanic biases of 53 resident physicians and the relationship between anti-Hispanic bias and language use during outpatient medical appointments with 291 Hispanic patients. Physician implicit bias was positively associated with use of interrogatives and work-related words and negatively associated with the use of prepositions and relativity-related words (e.g., words related to time and the future). These findings contribute to the growing body of evidence suggesting that, in addition to nonverbal and paraverbal behaviors, providers may communicate implicit bias to patients through the words they use during a clinical visit.

Indexed as

PhysiciansRacismAttitude of Health PersonnelBiasHispanic or LatinoHumansLanguage

Identifiers

PMID34130567
PMCPMC9524003
OpenAlexW3170730146

What OpenQuestion holds

Textmetadata
LicenceTDM
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.