2020
DOI: 10.1016/j.amjsurg.2020.02.045
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Gender and compensation among surgical specialties in the Veterans Health Administration

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Cited by 16 publications
(12 citation statements)
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“…Predictors of a lower salary for health providers at the Veterans Health Administration remain dependent on gender, specialty, H-index, location, and years in practice. 26 It was beyond the scope of this study to review every code billed by every surgeon to identify granular points of difference, but our study shows that differences in billing add up over time. Other shortcomings include the fact that the dollar value of each code does not reflect actual reimbursement.…”
Section: Discussionmentioning
confidence: 89%
“…Predictors of a lower salary for health providers at the Veterans Health Administration remain dependent on gender, specialty, H-index, location, and years in practice. 26 It was beyond the scope of this study to review every code billed by every surgeon to identify granular points of difference, but our study shows that differences in billing add up over time. Other shortcomings include the fact that the dollar value of each code does not reflect actual reimbursement.…”
Section: Discussionmentioning
confidence: 89%
“…This further reflects the overrepresentation of women in lower paying surgical specialties such as Gynecology. The differences in pay were attributed to gender, seniority, surgical specialty, H-index (a measure of scholarly activity), and geographic location [26].…”
Section: Impact On Female Surgeonsmentioning
confidence: 99%
“…The following available participants' demographic information were included in the analysis as control variables in the regression analysis: gender (female vs. male), professional rank (junior, middle, and senior), marital status (married vs. unmarried), educational level (bachelor's degree or below vs. master's or doctoral degree), work hours per week, years of practice, whether being at an administrative position (e.g., department chair or vice chair), and whether working in outpatient settings. These variables were included based on data availability and prior literature that indicated their associations with physician income (3,5,(8)(9)(10)14).…”
Section: Control Variablesmentioning
confidence: 99%
“…There are many factors contributing to income differences, such as age, marital status, educational level, specialty, work hours, and administrative position (3,5,(8)(9)(10). In China's healthcare system, professional rank, a recognition of the level of technical expertise and work ability for healthcare professionals, is also associated with physician income (6).…”
Section: Introductionmentioning
confidence: 99%