Analysis of Physician Compensation Studies by Gender, Race, and Ethnicity.

MedStar author(s):
Citation: Health Equity. 6(1):59-71, 2022.PMID: 36186614Institution: MedStar Washington Hospital CenterDepartment: DermatologyForm of publication: Journal ArticleMedline article type(s): Journal ArticleSubject headings: IN PROCESS -- NOT YET INDEXEDYear: 2022ISSN:
  • 2473-1242
Name of journal: Health equityAbstract: Conclusion: Most studies demonstrate pay disparities for women, but not for people who identify with underrepresented race/ethnic groups; however, small sample sizes may affect results. Copyright © Allison R. Larson et al., 2022; Published by Mary Ann Liebert, Inc.Methods: Published U.S. physician compensation studies were assessed.Purpose: This report investigated physician compensation studies by gender, race, and ethnicity.Results: Of the 47 data sets within 46 studies, 36 analyzed compensation by gender and 32 (88.9%) found disparities. Thirteen and eight analyzed for race and ethnicity, with disparities found in four (30.8%) and none, respectively. The sample sizes of the four data sets with differences by race were among the largest in the subset.All authors: Englander MJ, Larson AR, Liu HY, Silver JK, Stanford FC, Strong SA, Verduzco-Gutierrez M, Youmans QRFiscal year: FY2023Digital Object Identifier: ORCID: Date added to catalog: 2022-10-27
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Journal Article MedStar Authors Catalog Article 36186614 Available 36186614

Conclusion: Most studies demonstrate pay disparities for women, but not for people who identify with underrepresented race/ethnic groups; however, small sample sizes may affect results. Copyright © Allison R. Larson et al., 2022; Published by Mary Ann Liebert, Inc.

Methods: Published U.S. physician compensation studies were assessed.

Purpose: This report investigated physician compensation studies by gender, race, and ethnicity.

Results: Of the 47 data sets within 46 studies, 36 analyzed compensation by gender and 32 (88.9%) found disparities. Thirteen and eight analyzed for race and ethnicity, with disparities found in four (30.8%) and none, respectively. The sample sizes of the four data sets with differences by race were among the largest in the subset.

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