Evidence map›Paper›PMID 22420817›Full record

ArticleAmerican journal of public health2012

The influence of implicit bias on treatment recommendations for 4 common pediatric conditions: pain, urinary tract infection, attention deficit hyperactivity disorder, and asthma.

Janice A Sabin, Anthony G Greenwald

2 registry-linked trialsOpen access · greenAbstract read
In one paragraph

Article in American journal of public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 199 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
199citing papers in PubMed, 8 pooled it
57.2field-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.

NCT05019131 nacompletednot on this mapstarted 2021, after this paper: background citation

Addressing Provider Stress and Unconscious Bias to Improve Quality of Maternal Health Care

TypeinterventionalSponsorUniversity of California, San FranciscoRan2021 to 2023Enrolled83ConditionsMaternal Health, Mental Health, Healthcare Provider, Adverse OutcomesArmsTraining, Peer support and mentorship, Leadership engagement, Embedded champions
NCT06085105 nacompletednot on this mapstarted 2024, after this paper: background citation

Caring for Providers to Improve Patient Experience (CPIPE) Study: A Cluster Randomized-controlled Trial to Assess the Impact of the CPIPE Intervention on Person-centered Maternity Care

TypeinterventionalSponsorUniversity of California, San FranciscoRan2024 to 2026Enrolled6,379ConditionsStress, Psychological, Maternal Health, Healthcare Provider, Adverse OutcomesArmsCPIPE Training, Peer support groups, Mentorship, Leadership engagement, Embedded champions
3 · Its place in the literature

Who cites it

199 citing papers in PubMed, 8 syntheses or guidelines pooled it, 509 citations in OpenAlex.

  1. Pooled it
  2. CDC Clinical Practice Guideline for Prescribing Opioids for Pain - United States, 2022.MMWR. Recommendations and reports : Morbidity and mortality weekly report. Recommendations and reports · 2022
    Guideline
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  10. A Brief Online Implicit Bias Intervention for School Mental Health Clinicians.International journal of environmental research and public health · 2022
    Trial
  11. An online experiment to assess bias in professional medical coding.BMC medical informatics and decision making · 2019
    Trial
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139 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Janice A SabinDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA. sabinja@u.washington.edu
Anthony G Greenwald
University of Washington Medical Center · US

Funding

MENTAL HEALTH PREVENTION RESEARCH TRAINING PROGRAMT32MH020010 · NIMH · UNIVERSITY OF WASHINGTON · PI NURIUS, PAULA S. · 1998 to 2013
$2.8M
Provider Implicit Racial Bias &Medical Decision-MakingR36HS015676 · AHRQ · UNIVERSITY OF WASHINGTON · PI SABIN, JANICE A · 2005 to 2005
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AHRQ HHS 1-R36HS1576-01AHRQ HHS R36 HS015676NIMH NIH HHS T32 MH020010NIMH NIH HHS T32MH20010
6 · The paper itself

Abstract

objectivesWe examined the association between pediatricians' attitudes about race and treatment recommendations by patients' race.

methodsWe conducted an online survey of academic pediatricians (n = 86). We used 3 Implicit Association Tests to measure implicit attitudes and stereotypes about race. Dependent variables were recommendations for pain management, urinary tract infections, attention deficit hyperactivity disorder, and asthma, measured by case vignettes. We used correlational analysis to assess associations among measures and hierarchical multiple regression to measure the interactive effect of the attitude measures and patients' race on treatment recommendations.

resultsPediatricians' implicit (unconscious) attitudes and stereotypes were associated with treatment recommendations. The association between unconscious bias and patient's race was statistically significant for prescribing a narcotic medication for pain following surgery. As pediatricians' implicit pro-White bias increased, prescribing narcotic medication decreased for African American patients but not for the White patients. Self-reported attitudes about race were associated with some treatment recommendations.

conclusionsPediatricians' implicit attitudes about race affect pain management. There is a need to better understand the influence of physicians' unconscious beliefs about race on pain and other areas of care.

Indexed as

Attitude of Health PersonnelPediatricsAnalgesics, OpioidAsthmaAttention Deficit Disorder with HyperactivityBlack or African AmericanCentral Nervous System StimulantsCounselingFemaleHealthcare DisparitiesHealth Services ResearchHumansMalePain ManagementPrejudiceReferral and ConsultationAnalgesics, OpioidCentral Nervous System Stimulants

Identifiers

PMID22420817
PMCPMC3483921
OpenAlexW2078029714

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.