Evidence map›Paper›PMID 34782636›Full record

ArticleNature communications2021

The reduction of race and gender bias in clinical treatment recommendations using clinician peer networks in an experimental setting.

Damon Centola, Douglas Guilbeault, Urmimala Sarkar, Elaine Khoong, Jingwen Zhang

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Human-AI collectives most accurately diagnose clinical vignettes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
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  7. Article
  8. Article
  9. Article
  10. A framework for promoting disciplinary diversity and inclusion through epistemic justice.Conservation biology : the journal of the Society for Conservation Biology · 2024
    Article
  11. Article
  12. Inherent Bias in Electronic Health Records: A Scoping Review of Sources of Bias.medRxiv : the preprint server for health sciences · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Unconscious Bias among Health Professionals: A Scoping Review.International journal of environmental research and public health · 2023
    Article
  18. Experimental evidence for structured information-sharing networks reducing medical errors.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. Review
  20. Sex Differences in Mortality of ICU Patients According to Diagnosis-related Sex Balance.American journal of respiratory and critical care medicine · 2022
    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

5 authors.

Damon CentolaAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA, 19106, USA. dcentola@asc.upenn.edu.ORCID http://orcid.org/0000-0002-8084-2333
Douglas GuilbeaultNetwork Dynamics Group, University of Pennsylvania, Philadelphia, PA, 19106, USA.ORCID http://orcid.org/0000-0002-0177-3027
Urmimala SarkarNetwork Dynamics Group, University of Pennsylvania, Philadelphia, PA, 19106, USA.
Elaine KhoongNetwork Dynamics Group, University of Pennsylvania, Philadelphia, PA, 19106, USA.ORCID http://orcid.org/0000-0002-2514-3572
Jingwen ZhangNetwork Dynamics Group, University of Pennsylvania, Philadelphia, PA, 19106, USA.ORCID http://orcid.org/0000-0003-1733-6857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bias in clinical practice, in particular in relation to race and gender, is a persistent cause of healthcare disparities. We investigated the potential of a peer-network approach to reduce bias in medical treatment decisions within an experimental setting. We created "egalitarian" information exchange networks among practicing clinicians who provided recommendations for the clinical management of patient scenarios, presented via standardized patient videos of actors portraying patients with cardiac chest pain. The videos, which were standardized for relevant clinical factors, presented either a white male actor or Black female actor of similar age, wearing the same attire and in the same clinical setting, portraying a patient with clinically significant chest pain symptoms. We found significant disparities in the treatment recommendations given to the white male patient-actor and Black female patient-actor, which when translated into real clinical scenarios would result in the Black female patient being significantly more likely to receive unsafe undertreatment, rather than the guideline-recommended treatment. In the experimental control group, clinicians who were asked to independently reflect on the standardized patient videos did not show any significant reduction in bias. However, clinicians who exchanged real-time information in structured peer networks significantly improved their clinical accuracy and showed no bias in their final recommendations. The findings indicate that clinician network interventions might be used in healthcare settings to reduce significant disparities in patient treatment.

Indexed as

Racial GroupsSexismAgedAttitude of Health PersonnelBiasBlack PeopleClinical Decision-MakingFemaleHealthcare DisparitiesHumansMalePrejudiceSex Factors

Identifiers

PMID34782636
PMCPMC8593068

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.