Department of Surgery, New York Presbyterian Hospital, Weill Cornell Medicine, New York.
Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco.
JAMA Surg. 2024 Apr 1;159(4):383-388. doi: 10.1001/jamasurg.2023.7866.
Efforts have been made to increase the number of women and physicians who are underrepresented in medicine (UIM). However, surgery has been slow to diversify, and there are limited data surrounding the impact of intersectionality.
To assess the combined association of race and ethnicity and sex with rates of promotion and attrition among US academic medical department of surgery faculty.
DESIGN, SETTING, AND PARTICIPANTS: This was a retrospective cohort study using faculty roster data from the Association of American Medical Colleges. All full-time academic department of surgery faculty with an appointment any time from January 1, 2005, to December 31, 2020, were included. Study data were analyzed from September 2022 to February 2023.
Full-time academic faculty in a department of surgery with a documented self-reported race, ethnicity, and sex within the designated categories of the faculty roster of Association of American Medical Colleges.
Trends in race and ethnicity and sex, rates of promotion, and rates attrition from 2010 to 2020 were assessed with Kaplan-Meier and Cox time-to-event analyses.
A total of 31 045 faculty members (23 092 male [74%]; 7953 female [26%]) from 138 institutions were included. The mean (SD) program percentage of UIM male faculty increased from 8.4% (5.5%) in 2010 to 8.5% (6.2%) in 2020 (P < .001), whereas UIM female faculty members increased from 2.3% (2.6%) to 3.3% (2.5%) over the 10-year period (P < .001). The mean program percentage of non-UIM females increased at every rank (percentage point increase per year from 2010 to 2020 in instructor: 1.1; 95% CI, 0.73-1.5; assistant professor: 1.1; 95% CI, 0.93-1.3; associate professor: 0.55; 95% CI, 0.49-0.61; professor: 0.50; 95% CI, 0.41-0.60; all P < .001). There was no change in the mean program percentage of UIM female instructors or full professors. The mean (SD) percentage of UIM female assistant and associate professors increased from 3.0% (4.1%) to 5.0% (4.0%) and 1.6% (3.2%) to 2.2% (3.4%), respectively (P =.002). There was no change in the mean program percentage of UIM male instructors, associate, or full professors. Compared with non-Hispanic White males, Hispanic females were 32% less likely to be promoted within 10 years (hazard ratio [HR], 0.68; 95% CI, 0.54-0.86; P <.001), non-Hispanic White females were 25% less likely (HR, 0.75; 95% CI, 0.71-0.78; P <.001), Hispanic males were 15% less likely (HR, 0.85; 95% CI, 0.76-0.96; P =.007), and Asian females were 12% less likely (HR, 0.88; 95% CI, 0.80-0.96; P =.03). Non-UIM males had the shortest median (IQR) time to promotion, whereas non-UIM females had the longest (6.9 [6.8-7.0] years vs 7.2 [7.0-7.6] years, respectively; P < .001). After 10 years, 79% of non-UIM males (13 202 of 16 299), 71% of non-UIM females (3784 of 5330), 68% of UIM males (1738 of 2538), and 63% of UIM females (625 of 999) remained on the faculty. UIM females had a higher risk of attrition compared with non-UIM females (HR, 1.3; 95% CI, 1.1-1.5; P = .001) and UIM males (HR, 1.2; 95% CI, 1.0-1.4; P = .05). The mean (SE) time to attrition was shortest for UIM females and longest for non-UIM males (8.2 [0.14] years vs 9.0 [0.02] years, respectively; P < .001).
Results of this cohort study suggest that intersectionality was associated with promotion and attrition, with UIM females least likely to be promoted and at highest risk for attrition. Further efforts to understand these vulnerabilities are essential.
为了增加医学领域(UIM)中代表性不足的女性和医生人数,已经做出了许多努力。然而,外科手术领域的多样性发展一直较为缓慢,并且围绕交叉性的影响的数据有限。
评估种族、族裔和性别与美国学术医学外科部门教职员工晋升和离职率的综合关联。
设计、地点和参与者:这是一项使用美国医学院协会教职员工名单数据的回顾性队列研究。所有在 2005 年 1 月 1 日至 2020 年 12 月 31 日期间任何时候在外科部门担任全职学术教职的人员都被包括在内。研究数据于 2022 年 9 月至 2023 年 2 月进行分析。
在外科部门担任全职学术教职的人员,其在医学生物学教师名录中记录了自我报告的种族、族裔和性别,并在名录中指定了类别。
使用 Kaplan-Meier 和 Cox 时间事件分析评估了 2010 年至 2020 年期间种族、族裔和性别的趋势,以及晋升和离职率。
共纳入了 138 个机构的 31045 名教职员工(23092 名男性[74%];7953 名女性[26%])。男性 UIM 教职员工的计划百分比从 2010 年的 8.4%(5.5%)增加到 2020 年的 8.5%(6.2%)(P<0.001),而 UIM 女性教职员工的比例从 2.3%(2.6%)增加到 3.3%(2.5%)(P<0.001)。每年女性非 UIM 教职员工的比例呈上升趋势(2010 年至 2020 年,讲师的百分比增加了 1.1%;95%置信区间,0.73-1.5%;助理教授:1.1%;95%置信区间,0.93-1.3%;副教授:0.55%;95%置信区间,0.49-0.61%;教授:0.50%;95%置信区间,0.41-0.60%;所有 P<0.001)。UIM 女性讲师或正教授的平均计划比例没有变化。UIM 女性助理教授和副教授的平均(SD)百分比从 3.0%(4.1%)增加到 5.0%(4.0%)和 1.6%(3.2%)增加到 2.2%(3.4%)(P=0.002)。UIM 男性讲师、副教授或正教授的平均计划比例没有变化。与非西班牙裔白人男性相比,西班牙裔女性在 10 年内晋升的可能性低 32%(危险比[HR],0.68;95%置信区间,0.54-0.86;P<0.001),非西班牙裔白人女性的可能性低 25%(HR,0.75;95%置信区间,0.71-0.78;P<0.001),西班牙裔男性的可能性低 15%(HR,0.85;95%置信区间,0.76-0.96;P=0.007),亚洲女性的可能性低 12%(HR,0.88;95%置信区间,0.80-0.96;P=0.03)。非 UIM 男性的中位(IQR)晋升时间最短,而非 UIM 女性的中位(IQR)晋升时间最长(分别为 6.9[6.8-7.0]年和 7.2[7.0-7.6]年;P<0.001)。10 年后,79%的非 UIM 男性(16299 名中的 13202 名)、71%的非 UIM 女性(5330 名中的 3784 名)、68%的 UIM 男性(2538 名中的 1738 名)和 63%的 UIM 女性(999 名中的 625 名)仍在教职员工中。与非 UIM 女性相比,UIM 女性的离职风险更高(HR,1.3;95%置信区间,1.1-1.5;P=0.001)和 UIM 男性(HR,1.2;95%置信区间,1.0-1.4;P=0.05)。UIM 女性的平均(SE)离职时间最短,而非 UIM 男性的平均(SE)离职时间最长(分别为 8.2[0.14]年和 9.0[0.02]年;P<0.001)。
这项队列研究的结果表明,交叉性与晋升和离职有关,UIM 女性晋升的可能性最小,离职的风险最高。进一步努力了解这些脆弱性是必要的。