| Literature DB >> 34904405 |
Jihyeon Choi1, Jeong-Eun Lee1, Bora Choi1, Jungook Kim2, Seung Eun Lee3.
Abstract
BACKGROUND: Previous studies that have focused on the challenges faced by female surgeons, such as the gender pay gap, gender biases, lower likelihood of promotion, and gender differences in the perception of discrimination against women, are reviewed. A more comprehensive understanding of explicit and implicit gender discrimination and experiences and perceptions of discrimination is needed. This study aims to determine the current prevalence and degree of gender discrimination in the Korean Surgical Society and to compare the experiences and perceptions of gender discrimination between male and female surgeons.Entities:
Keywords: Experienced Discrimination; Gender Bias; Gender Discrimination; Male-Dominated Culture; Perceived Discrimination
Mesh:
Year: 2021 PMID: 34904405 PMCID: PMC8668495 DOI: 10.3346/jkms.2021.36.e323
Source DB: PubMed Journal: J Korean Med Sci ISSN: 1011-8934 Impact factor: 2.153
Respondents' characteristics by gender
| Characteristics | Male (n = 283) | Female (n = 117) | ||
|---|---|---|---|---|
| Age, yr | 46.8 ± 10.0 | 39.5 ± 5.9 | < 0.001 | |
| < 35 | 21 (7.4) | 21 (17.9) | < 0.001 | |
| 35–39 | 50 (17.7) | 40 (34.2) | ||
| 40–44 | 65 (23.0) | 40 (34.2) | ||
| 45–49 | 60 (21.2) | 11 (9.4) | ||
| 50–54 | 29 (10.2) | 3 (2.6) | ||
| 55–59 | 27 (9.5) | 1 (0.9) | ||
| 60+ | 31 (11.0) | 1 (0.9) | ||
| Years of practice, yr | 21.8 ± 10.4 | 14.2 ± 6.4 | < 0.001 | |
| < 10 | 28 (9.9) | 31 (26.5) | < 0.001 | |
| 10–14 | 44 (15.5) | 30 (25.6) | ||
| 15–19 | 61 (21.6) | 40 (34.2) | ||
| 20–24 | 61 (21.6) | 10 (8.5) | ||
| 25–29 | 28 (9.9) | 4 (3.4) | ||
| 30+ | 61 (21.6) | 2 (1.7) | ||
| Surgical subspecialty | < 0.001 | |||
| Upper GI | 29 (10.2) | 7 (6.0) | ||
| Colorectal | 68 (24.0) | 22 (18.8) | ||
| Hepatobiliary-pancreas | 72 (25.4) | 15 (12.8) | ||
| Breast-thyroid-endocrine | 43 (15.2) | 48 (41.0) | ||
| Pediatric | 8 (2.8) | 6 (5.1) | ||
| Vascular | 18 (6.4) | 6 (5.1) | ||
| General surgerya | 45 (15.9) | 13 (11.1) | ||
| Rank | < 0.001 | |||
| Fellow | 21 (7.4) | 23 (19.7) | ||
| Academic, non-tenured | 58 (20.5) | 34 (29.1) | ||
| Academic, tenure track | 80 (28.3) | 29 (24.8) | ||
| Hospital-employed | 64 (22.6) | 20 (17.1) | ||
| Private practice | 49 (17.3) | 7 (6.0) | ||
| Other | 11 (3.9) | 4 (3.4) | ||
| Practice setting | 0.250 | |||
| University hospital | 134 (47.3) | 70 (59.8) | ||
| General hospital (> 100 beds) | 67 (23.7) | 23 (19.7) | ||
| Hospital (> 30 beds) | 26 (9.2) | 8 (6.8) | ||
| Private clinic | 45 (15.9) | 13 (11.1) | ||
| Other | 11 (3.9) | 3 (2.6) | ||
| Geographical area of practice setting | 0.003 | |||
| Metropolitan area | 188 (66.4) | 97 (82.9) | ||
| Urban area | 91 (32.2) | 20 (17.1) | ||
| Rural area | 4 (1.4) | 0 | ||
Values are presented as mean ± standard deviation or number of patients (%).
GI = gastrointestinal.
aWhich means not having subspecialty.
Experiences of gender discrimination by gender
| Because of my gender, I have experienced discrimination, disadvantage, or exclusion related to: | Unadjusteda | |||
|---|---|---|---|---|
| Male, % | Female, % | |||
| 1. Career progression | ||||
| Application for a surgical resident position | 2.6 | 23.2 | < 0.001 | |
| Application for a fellow position | 1.1 | 13.4 | < 0.001 | |
| Choosing a surgical subspecialty | 1.5 | 13.4 | < 0.001 | |
| Application for an academic faculty position | 1.9 | 26.8 | < 0.001 | |
| Hiring by a medical institution | 4.9 | 23.2 | < 0.001 | |
| 2. Compensation and promotion | ||||
| Salary or incentive | 1.6 | 16.4 | < 0.001 | |
| Promotion | 2.3 | 29.1 | < 0.001 | |
| Obtaining a leadership position | 3.5 | 40.9 | < 0.001 | |
| 3. Participation, communication, and resources | ||||
| Participating in administrative decision-making | 2.3 | 31.8 | < 0.001 | |
| Informal networking and relationships within an organization | 6.6 | 50.0 | < 0.001 | |
| Accessing necessary resources (operating rooms, surgical instruments, etc.) | 2.7 | 12.7 | < 0.001 | |
| Accessing necessary information | 3.1 | 23.6 | < 0.001 | |
| 4. Disrespect from non-surgeons | ||||
| Because of my gender, I have experienced discrimination or disadvantages from nursing or other support staff | 4.3 | 55.5 | < 0.001 | |
| Because of my gender, I have experienced discrimination or disadvantages from a patient or caregiver | 7.8 | 80.0 | < 0.001 | |
| 5. Gender-based biases | ||||
| I was told I was not suited to surgery because of my gender | 1.1 | 46.4 | < 0.001 | |
| I had to perform better to receive an equivalent performance evaluation to my colleague of the opposite gender | 8.2 | 63.6 | < 0.001 | |
aFrequency was defined as having experienced the item via a “yes” response. Each row is from a separate χ2 test. P values are based on the χ2 tests.
Association between gender and experiences of gender discrimination
| Because of my gender, I have experienced discrimination, disadvantage, or exclusion related to: | Adjusteda | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| All respondents | Less than 20 years' practice | ||||||||
| Gender variable | Model | Gender variableb | Model | ||||||
| OR (95% CI)b | χ2 (−2 Log likelihood) | OR (95% CI)b | χ2 (−2 Log likelihood) | ||||||
| 1. Career progression | |||||||||
| Application for a surgical resident position | 10.148 (3.818–26,973) | < 0.001 | 48.347 (175.618) | < 0.001 | 3.072 (1.109–8.507) | 0.031 | 14.928 (137.616) | 0.245 | |
| Application for a fellow position | 12.132 (2.865–51.373) | < 0.001 | 38.382 (106.349) | < 0.001 | 4.661 (1.106–19.641) | 0.036 | 23.766 (86.314) | 0.022 | |
| Choosing a surgical subspecialty | 11.570 (3.027–44.224) | < 0.001 | 33.773 (116.893) | 0.001 | 3.635 (0.958–13.796) | 0.058 | 23.004 (87.077) | 0.028 | |
| Application for an academic faculty position | 37.124 (10.964–125.704) | < 0.001 | 80.579 (152.644) | < 0.001 | 40.530 (7.178–228.841) | < 0.001 | 56.665 (104.177) | < 0.001 | |
| Hiring by a medical institution | 7.798 (3.299–18.432) | < 0.001 | 42.620 (208.374) | < 0.001 | 4.135 (1.497–11.421) | 0.006 | 22.393 (134.346) | 0.033 | |
| 2. Compensation and promotion | |||||||||
| Salary or incentive | 14.733 (3.839–56.545) | < 0.001 | 37.681 (128.680) | < 0.001 | 3.969 (0.992–15.886) | 0.051 | 17.374 (96.697) | 0.136 | |
| Promotion | 20.985 (6.923–63.608) | < 0.001 | 63.047 (181.007) | < 0.001 | 11.238 (3.477–36.322) | < 0.001 | 36.301 (134.082) | < 0.001 | |
| Obtaining a leadership position | 19.083 (7.712–47.220) | < 0.001 | 90.822 (215.461) | < 0.001 | 8.631 (3.457–21.549) | < 0.001 | 42.147 (181.567) | < 0.001 | |
| 3. Participation, communication, and resources | |||||||||
| Participating in administrative decision-making | 16.624 (5.764–47.945) | < 0.001 | 71.048 (185.680) | < 0.001 | 7.648 (2.630–22.243) | < 0.001 | 33.986 (147.231) | 0.001 | |
| Informal networking and relationships within an organization | 11.351 (5.548–23.223) | < 0.001 | 104.629 (258.314) | < 0.001 | 8.657 (3.891–19.257) | < 0.001 | 55.807 (199.437) | < 0.001 | |
| Accessing necessary resources (operating rooms, surgical instruments, etc.) | 3.447 (1.177–10.090) | < 0.001 | 32.685 (128.127) | 0.001 | 1.846 (0.582–5.858) | 0.298 | 19.197 (99.858) | 0.084 | |
| Accessing necessary information | 8.342 (3.246–21.440) | < 0.001 | 48.214 (178.111) | < 0.001 | 4.769 (1.784–12.750) | 0.002 | 27.659 (146.659) | 0.006 | |
| 4. Disrespect from non-surgeons | |||||||||
| Because of my gender, I have experienced discrimination or disadvantages from nursing or other support staff | 16.949 (7.873–36.485) | < 0.001 | 135.777 (227.166) | < 0.001 | 13.906 (5.874–32.920) | < 0.001 | 72.863 (186.111) | < 0.001 | |
| Because of my gender, I have experienced discrimination or disadvantages from a patient or caregiver | 51.251 (22.636–116.040) | < 0.001 | 213.897 (230.164) | < 0.001 | 58.543 (21.278–161.075) | < 0.001 | 142.447 (150.965) | < 0.001 | |
| 5. Gender-based biases | |||||||||
| I was told I was not suited to surgery because of my gender | 230.242 (45.652–1,161.199) | < 0.001 | 139.063 (174.547) | < 0.001 | 80.761 (16.552–394.046) | < 0.001 | 76.762 (145.182) | < 0.001 | |
| I had to perform better to receive an equivalent performance evaluation to my colleague of the opposite gender | 18.182 (9.074–36.431) | < 0.001 | 143.908 (266.619) | < 0.001 | 10.648 (5.055–22.428) | < 0.001 | 62.849 (219.703) | < 0.001 | |
OR = odds ratio, CI = confidence interval.
aEach row is from a separate binary logistic regression model with gender as an independent variable. Covariates include years of practice, surgical subspecialty, rank, and geographical area of practice setting; bFemale vs. male.
Perceptions of gender discrimination by gender
| Female surgeons are more likely to be discriminated against, disadvantaged, or excluded with regards to compared with male surgeons | Unadjusteda | |||
|---|---|---|---|---|
| Male, % | Female, % | |||
| 1. Career progression | ||||
| Application for a surgical resident position | 21.1 | 29.5 | 0.085 | |
| Application for a fellow position | 29.1 | 50.0 | < 0.001 | |
| Choosing a surgical subspecialty | 31.0 | 58.9 | < 0.001 | |
| Application for an academic faculty position | 36.6 | 71.4 | < 0.001 | |
| Hiring by a medical institution | 41.3 | 71.2 | < 0.001 | |
| 2. Compensation and promotion | ||||
| Salary or incentive | 5.2 | 23.4 | < 0.001 | |
| Promotion | 27.9 | 79.4 | < 0.001 | |
| Obtaining a leadership position | 55.0 | 87.9 | < 0.001 | |
| 3. Participation, communication, and resources | ||||
| Participating in administrative decision-making | 17.9 | 59.8 | < 0.001 | |
| Informal networking and relationships within an organization | 24.3 | 68.2 | < 0.001 | |
| Accessing necessary resources (operating rooms, surgical instruments, etc.) | 4.4 | 20.6 | < 0.001 | |
| Accessing necessary information | 6.4 | 40.2 | < 0.001 | |
| 4. Disrespect from non-surgeons | ||||
| Discrimination against female surgeons from nursing or other support staff | 28.3 | 58.9 | < 0.001 | |
| Discrimination against female surgeons from a patient or caregiver | 61.8 | 86.9 | < 0.001 | |
| 5. Gender-based biases | ||||
| Female surgeons must perform better to receive equivalent performance evaluations to male surgeons | 19.1 | 79.4 | < 0.001 | |
| There are biases against female surgeons in surgery | 48.2 | 84.1 | < 0.001 | |
| In surgery, there is more discrimination against female doctors than in other specialties. | 9.6 | 31.8 | < 0.001 | |
aFrequency was defined as having perceived the item via “agree” or “strongly agree” response. Each row is from a separate χ2 test. P values are based on the χ2 tests.
Association between gender and perceptions of gender discrimination
| Female surgeons are more likely to be discriminated against, disadvantaged, or excluded with regards to compared with male surgeons | Adjusteda | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| All respondents | Less than 20 years' practice | ||||||||
| Gender variable | Model | Gender variable | Model | ||||||
| OR (95% CI)b | χ2 (−2 Log likelihood) | OR (95% CI)b | χ2 (−2 Log likelihood) | ||||||
| 1. Career progression | |||||||||
| Application for a surgical resident position | 2.438 (1.311–4.535) | 0.005 | 38.819 (373.790) | < 0.001 | 1.792 (0.847–3.791) | 0.127 | 17.826 (204.118) | 0.121 | |
| Application for a fellow position | 2.999 (1.755–5.126) | < 0.001 | 30.132 (459.330) | 0.003 | 2.670 (1.418–5.031) | 0.002 | 19.734 (274.527) | 0.072 | |
| Choosing a surgical subspecialty | 3.729 (2.185–6.361) | < 0.001 | 36.904 (463.325) | < 0.001 | 3.657 (1.934–6.913) | < 0.001 | 23.767 (279.209) | 0.022 | |
| Application for an academic faculty position | 4.614 (2.644–8.052) | < 0.001 | 56.688 (460.491) | < 0.001 | 4.640 (2.403–8.959) | < 0.001 | 36.108 (272.277) | < 0.001 | |
| Hiring by a medical institution | 4.713 (2.660–8.351) | < 0.001 | 51.397 (468.461) | < 0.001 | 5.552 (2.752–11.199) | < 0.001 | 41.231 (266.364) | < 0.001 | |
| 2. Compensation and promotion | |||||||||
| Salary or incentive | 10.346 (3.893–27.498) | < 0.001 | 43.884 (198.396) | < 0.001 | 4.598 (1.545–13.686) | 0.006 | 21.633 (128.589) | 0.042 | |
| Promotion | 13.438 (6.958–25.954) | < 0.001 | 113.630 (376.208) | < 0.001 | 10.125 (4.789–21.405) | < 0.001 | 58.859 (237.135) | < 0.001 | |
| Obtaining a leadership position | 5.535 (2.790–10.981) | < 0.001 | 47.501 (416.932) | < 0.001 | 6.801 (3.033–15.249) | < 0.001 | 34.781 (231.241) | 0.001 | |
| 3. Participation, communication, and resources | |||||||||
| Participating in administrative decision-making | 6.528 (3.612–11.796) | < 0.001 | 76.649 (363.407) | < 0.001 | 5.125 (2.601–10.097) | < 0.001 | 44.140 (238.753) | < 0.001 | |
| Informal networking and relationships within an organization | 6.337 (3.567–11.258) | < 0.001 | 69.863 (403.560) | < 0.001 | 5.795 (2.974–11.291) | < 0.001 | 39.498 (255.972) | < 0.001 | |
| Accessing necessary resources (operating rooms, surgical instruments, etc.) | 4.869 (1.967–12.050) | 0.001 | 32.446 (187.760) | 0.001 | 5.343 (1.728–16.521) | 0.004 | 25.114 (120.922) | 0.014 | |
| Accessing necessary information | 10.404 (4.910–22.047) | < 0.001 | 74.999 (245.448) | < 0.001 | 9.228 (3.776–22.550) | < 0.001 | 48.021 (177.021) | < 0.001 | |
| 4. Disrespect from non-surgeons | |||||||||
| Discrimination against female surgeons from nursing or other support staff | 2.930 (1.712–5.014) | < 0.001 | 38.372 (435.051) | < 0.001 | 2.531 (1.353–4.735) | 0.004 | 22.652 (270.848) | 0.031 | |
| Discrimination against female surgeons from a patient or caregiver | 3.404 (1.712–6.767) | < 0.001 | 53.269 (388.427) | < 0.001 | 5.658 (2.368–13.520) | < 0.001 | 28.620 (201.657) | 0.004 | |
| 5. Gender-based biases | |||||||||
| Female surgeons must perform better to receive equivalent performance evaluations to male surgeons | 16.842 (8.669–32.719) | < 0.001 | 132.137 (340.247) | < 0.001 | 20.000 (8.711–46.840) | < 0.001 | 88.905 (207.294) | < 0.001 | |
| There are biases against female surgeons in surgery | 5.778 (3.061–10.910) | < 0.001 | 54.553 (430.238) | < 0.001 | 6.583 (3.105–13.954) | < 0.001 | 35.251 (241.980) | < 0.001 | |
| In surgery, there is more discrimination against female doctors than in other specialties | 6.595 (3.142–13.845) | < 0.001 | 37.241 (279.940) | < 0.001 | 4.418 (1.924–10.143) | < 0.001 | 23.256 (185.830) | 0.026 | |
OR = odds ratio, CI = confidence interval.
aEach row is from a separate binary logistic regression model with gender as an independent variable. Covariates included years of practice, surgical subspecialty, rank, and geographical area of practice setting; bFemale vs. male.