Evidence map›Paper›PMID 31074813›Full record

ArticleJAMA network open2019

Assessment of Gender-Based Linguistic Differences in Physician Trainee Evaluations of Medical Faculty Using Automated Text Mining.

Janae K Heath, Gary E Weissman, Caitlin B Clancy, Haochang Shou, John T Farrar, C Jessica Dine

Abstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Trial
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  19. Diversity in Neurosurgery.World neurosurgery · 2021
    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

6 authors.

Janae K HeathDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Gary E WeissmanDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Caitlin B ClancyDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Haochang ShouCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
John T FarrarDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
C Jessica DineDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Funding

Cardiology & pulmonary research training grantT32HL007891 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Jason D Christie · 1998 to 2026
$12.0M
NHLBI NIH HHS T32 HL007891
6 · The paper itself

Abstract

Importance: Women are underrepresented at higher ranks in academic medicine. However, the factors contributing to this disparity have not been fully elucidated. Implicit bias and unconscious mental attitudes toward a person or group may be factors. Although academic medical centers use physician trainee evaluations of faculty to inform promotion decisions, little is known about gender bias in these evaluations. To date, no studies have examined narrative evaluations of medical faculty by physician trainees for differences based on gender. Objective: To characterize gender-associated linguistic differences in narrative evaluations of medical faculty written by physician trainees. Design, Setting, and Participants: This retrospective cohort study included all faculty teaching evaluations completed for the department of medicine faculty by medical students, residents, and fellows at a large academic center in Pennsylvania from July 1, 2015, through June 30, 2016. Data analysis was performed from June 1, 2018, through July 31, 2018. Main Outcomes and Measures: Word use in faculty evaluations was quantified using automated text mining by converting free-text comments into unique 1- and 2-word phrases. Mixed-effects logistic regression analysis was performed to assess associations of faculty gender with frequencies of specific words and phrases present in a physician trainee evaluation. Results: A total of 7326 unique evaluations were collected for 521 faculty (325 men [62.4%] and 196 women [37.6%]). The individual words art (odds ratio [OR], 7.78; 95% CI, 1.01-59.89), trials (OR, 4.43; 95% CI, 1.34-14.69), master (OR, 4.24; 95% CI, 1.69-10.63), and humor (OR, 2.32; 95% CI, 1.44-3.73) were significantly associated with evaluations of male faculty, whereas the words empathetic (OR, 4.34; 95% CI, 1.56-12.07), delight (OR, 4.26; 95% CI, 1.35-13.40), and warm (OR, 3.45; 95% CI, 1.83-6.49) were significantly associated with evaluations of female faculty. Two-word phrases associated with male faculty evaluations included run rounds (OR, 7.78; 95% CI, 1.01-59.84), big picture (OR, 7.15; 95% CI, 1.68-30.42), and master clinician (OR, 4.02; 95% CI, 1.21-13.36), whereas evaluations of female faculty were more likely to be associated with model physician (OR, 7.75; 95% CI, 1.70-35.39), just right (OR, 6.97; 95% CI, 1.51-32.30), and attention (to) detail (OR, 4.26; 95% CI, 1.36-13.40). Conclusions and Relevance: The data showed quantifiable linguistic differences between free-text comments about male and female faculty in physician trainee evaluations. Further evaluation of these differences, particularly in association with ongoing gender disparities in faculty promotion and retention, may be warranted.

Indexed as

Academic Medical CentersAdultCohort StudiesData MiningEducation, Medical, GraduateFaculty, MedicalFemaleHumansLinguisticsLongitudinal StudiesMaleMiddle AgedPennsylvaniaPhysicians, WomenProfessional CompetenceRetrospective Studies

Identifiers

PMID31074813
PMCPMC6512459

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.