Evidence map›Paper›PMID 37794262›Full record

Observational studyJournal of general internal medicine2024

Comparisons of Explicit Weight Bias Across Common Clinical Specialties of US Resident Physicians.

Samantha R Philip, Sherecce A Fields, Michelle Van Ryn, Sean M Phelan

Abstract readObservational Study
In one paragraph

Observational study in Journal of general internal medicine, 2024. 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
–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

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

  1. Pooled it
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  5. Review
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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

4 authors.

Samantha R PhilipDepartment of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA. srphilip@tamu.edu.
Sherecce A FieldsDepartment of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA.
Michelle Van RynDiversity Science Inc., Clackamas, OR, USA.
Sean M PhelanDivision of Health Care Delivery Research, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, NY, USA.

Funding

The Impact of Residency Factors on Racial, Size & LGBT Bias in Physician TraineesR01HL085631 · NHLBI · UNIVERSITY OF MINNESOTA · PI VAN RYN, MICHELLE · 2009 to 2018
$6.9M
NHLBI NIH HHS R01 HL085631NHLBI NIH HHS R01HL085631
6 · The paper itself

Abstract

backgroundPatients with high body weight are persistently stigmatized in medical settings, with studies demonstrating that providers endorse negative stereotypes of, and have lower regard for, higher-weight patients. Very little is known about how this weight bias varies across specialties.

objectiveThe purpose of this study is to examine how explicit weight bias varies between resident providers among sixteen of the largest residency specialties in the USA. The identification of these differences will guide the prioritization and targeting of interventions.

designThe current study utilized cross-sectional, observational data.

participantsForty-nine allopathic medical schools were recruited to participate in this national, longitudinal study. The current study utilized data from 3267 trainees in Year 2 of Residency among those who specialized in one of the most common sixteen residency programs in 2016. MAIN MEASURES: Participants reported demographic information and residency specialties and completed three sets of measures pertaining to explicit weight bias. KEY

resultsA significant minority (13-48%) of residents reported slight-to-strong agreement with each anti-fat statement. There was a significant relationship between residency specialty and anti-fat blame (F(15, 3189 = 12.87, p < .001), η

conclusionsThis study is the first to report on weight bias in a large, heterogeneous sample of US resident physicians. Problematic levels of weight bias were found in all specialties, with residents in specialty programs generally reporting more bias than those in primary care residencies. Future research should examine which factors contribute to these differences to guide intervention.

Indexed as

Internship and ResidencyPhysiciansWeight PrejudiceChildCross-Sectional StudiesHumansLongitudinal StudiesObesityOverweightmedical trainingprejudiceresidencyweight biasweight stigma

Identifiers

PMID37794262
PMCPMC10973280

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.