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


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
03 05 2019
Historique:
entrez: 11 5 2019
pubmed: 11 5 2019
medline: 3 3 2020
Statut: epublish

Résumé

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. To characterize gender-associated linguistic differences in narrative evaluations of medical faculty written by physician trainees. 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. 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. 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). 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.

Identifiants

pubmed: 31074813
pii: 2733173
doi: 10.1001/jamanetworkopen.2019.3520
pmc: PMC6512459
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e193520

Subventions

Organisme : NHLBI NIH HHS
ID : T32 HL007891
Pays : United States

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Auteurs

Janae K Heath (JK)

Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Gary E Weissman (GE)

Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Palliative and Advanced Illness Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Caitlin B Clancy (CB)

Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Center for Healthcare Improvement and Patient Safety, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Haochang Shou (H)

Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Perelman School of Medicine, Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia.

John T Farrar (JT)

Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

C Jessica Dine (CJ)

Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Leonard Davis Institute of Health Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

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