Literature DB >> 33115509

The experiences of female surgeons around the world: a scoping review.

Meredith D Xepoleas1,2, Naikhoba C O Munabi3,4, Allyn Auslander1, William P Magee1,2,5,6, Caroline A Yao2,5,6.   

Abstract

INTRODUCTION: The Lancet Commission for Global Surgery identified an adequate surgical workforce as one indicator of surgical care accessibility. Many countries where women in surgery are underrepresented struggle to meet the recommended 20 surgeons per 100,000 population. We evaluated female surgeons' experiences globally to identify strategies to increase surgical capacity through women.
METHODS: Three database searches identified original studies examining female surgeon experiences. Countries were grouped using the World Bank income level and Global Gender Gap Index (GGGI).
RESULTS: Of 12,914 studies meeting search criteria, 139 studies were included and examined populations from 26 countries. Of the accepted studies, 132 (95%) included populations from high-income countries (HICs) and 125 (90%) exclusively examined populations from the upper 50% of GGGI ranked countries. Country income and GGGI ranking did not independently predict gender equity in surgery. Female surgeons in low GGGI HIC (Japan) were limited by familial support, while those in low income, but high GGGI countries (Rwanda) were constrained by cultural attitudes about female education. Across all populations, lack of mentorship was seen as a career barrier. HIC studies demonstrate that establishing a critical mass of women in surgery encourages female students to enter surgery. In HICs, trainee abilities are reported as equal between genders. Yet, HIC women experience discrimination from male co-workers, strain from pregnancy and childcare commitments, and may suffer more negative health consequences. Female surgeon abilities were seen as inferior in lower income countries, but more child rearing support led to fewer women delaying childbearing during training compared to North Americans and Europeans.
CONCLUSION: The relationship between country income and GGGI is complex and neither independently predict gender equity. Cultural norms between geographic regions influence the variability of female surgeons' experiences. More research is needed in lower income and low GGGI ranked countries to understand female surgeons' experiences and promote gender equity in increasing the number of surgical providers.

Entities:  

Keywords:  Female; Female surgeon; Gender equity; Global surgery; Surgeons; Surgical  workforce; Women in surgery

Year:  2020        PMID: 33115509      PMCID: PMC7594298          DOI: 10.1186/s12960-020-00526-3

Source DB:  PubMed          Journal:  Hum Resour Health        ISSN: 1478-4491


Introduction

In the modern era of medicine, Elizabeth Blackwell was the first reported woman to graduate from medical school in 1849 and pursue a career in surgery [1]. Women pursuing careers in medicine has steadily increased with women now representing 50% of current medical school matriculants in the United States (US) [2]. This shift is not reflected to the same extent in surgical specialties, where women have experienced much slower growth [1]. In the United Kingdom (UK) and the US, men are 73% and 61.6% of practicing surgeons, respectively [3, 4]. The number of female surgeons in low- and middle-income countries rose disproportionately slower than female representation in other medical specialties [5-7]. Concurrently, five-billion people lack access to safe, affordable surgical care globally and many countries need an increase in surgical providers to reach the recommended 20 per 100,000 population [6]. With the majority of low- and middle-income countries struggling to build an adequate surgical workforce, expanding the participation of women in surgery is a powerful way to help alleviate the global burden of surgery [6, 7]. The experiences of women in medicine and how they differ from men is well documented. The majority of this work has focused on barriers such as discrimination, pay gaps, and promotion inequality [8-11]. Surgery continues to be a male-dominated field with the disparate experiences between genders not well documented worldwide. Understanding career experiences of women in surgery is essential to expand the female workforce, improve the professional surgical environment, and retain existing female surgeons. This scoping review seeks to understand the experiences of female surgeons around the world and how they differ based on geography, national income (World Bank income level) and cultural beliefs of gender equity (Global Gender Gap Index (GGGI)). The experience of female surgeons is a very broad topic for which we hope to synthesize the current knowledge and identify where gaps in gender equity are evident globally. Our analysis can inform future training programs and professional, educational and institutional initiatives and policies. We hope to inspire new strategies to increase surgical capacity through empowering women globally.

Methods

A scoping review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta Analyses extension for Scoping Reviews (PRISMA-ScR) [12] guidelines for reporting (Additional file 1). A detailed protocol has been provided as Additional file 2.

Research question

This review was led by the question, ‘What are the experiences of female surgeons around the world and how to do they differ based on geography, country income level, and cultural beliefs of gender equity?’ The female surgical experience was defined as any difference in attitude, treatment, behavior or career outcome that results from a surgeon’s female gender.

Inclusion/exclusion criteria

Included were original, peer-reviewed, full-text articles published in English that studied female surgeons, female surgical residents, and female medical students considering surgery. Topics required for inclusion were work–life balance, salary, health, job titles, career factors and barriers, training, skills, pregnancy, childrearing, domestic work, volunteerism, interpersonal interactions and discrimination/harassment. All study types were included, such as cross-sectional analysis, questionnaires, longitudinal analysis, and controlled trials. Editorials, case reports and personal anecdotes were excluded due to potential bias. No restriction was placed on the year of publication to assess the complete literature on female surgeons.

Search strategy, study selection and data collection

A search of PubMed, Web of Science, and MEDLINE (Ovid) was conducted on April 2, 2020 and included six search constructs (Table 1). One author (M.X.) conducted the initial review and excluded articles that did not meet inclusion criteria according to title. Two authors (M.X. and N.M.) reviewed the remaining study abstracts and excluded articles that did not meet inclusion criteria. The remaining articles were summarized in a chart in Microsoft Excel 2013 (Microsoft Corporation, Redmond, WA). Full-text articles were individually reviewed by two authors (M.X. and N.M.) to extract study characteristics including study design, publication year, study population countries and gender distribution, the category of the female surgical experience, funding source, and the study’s main findings. Studies that did not meet the inclusion criteria were excluded. Any inclusion discrepancies between authors was resolved through discussion. Data from included studies was compiled into a single spreadsheet for analysis independently.
Table 1

Search terms and results from each database

Included search termsResults from PubMedResults from web of scienceResults from MEDLINE (Ovid)
“Female Surgeons”20146329
“Women Surgeons”130124257
Women in Surgery [Title]*5853236
Female Surgeon [Title]*9691
Female “Surgical Training”*12992522711
Female “Surgical Experience”*21652524695
Totals38627338319
Total results12,914

* Search terms configured after the primary search to keep search results relevant to the study questions

Search terms and results from each database * Search terms configured after the primary search to keep search results relevant to the study questions

Synthesis of results

Studies were sorted into four key categories based on main focus: careers challenges, residency and training, family and work–life balance, and other. The World Bank Income Level Group and GGGI ranking of included countries were recorded. The World Bank classifies countries into four categories according to gross national income per capita: low-income country (LIC), lower-middle income country (LMIC), upper-middle income country (UMIC), and high-income country (HIC) [13]. These income-level groupings indicate a country’s economic capabilities, associated resources, and opportunities that may be available to the population within. The Global Gender Gap Index is a weighted rating comprising of scores for economic participation and opportunity, educational attainment, health and survival, and political empowerment. GGGI ratings contextualize the experiences of women around the world in a social and professional capacity. Lower scores and rankings correspond to less equality for women [14]. Summary and descriptive statistics were calculated using Microsoft Excel 2013.

Results

The PubMed search yielded 12,914 total articles. A total of 12,775 articles were excluded as duplicates, having incorrect study focus, or not being original studies published in peer-reviewed journals (Fig. 1). The process yielded 139 studies meeting inclusion criteria and published between 1993 and 2020 (Fig. 1, Table 2). Of these 139 articles, 66% (n = 92) were published in 2015 or later (Table 2). Of the included articles, 47 (34%) focused on careers challenges, 37 (27%) on residency and training, 36 (26%) on family and work–life balance, and 19 (14%) on other topics (Fig. 1). The category of “other” included articles related to interpersonal interactions (n = 3), salary (n = 8), physical health (n = 5), demographics (n = 2), and international volunteerism (n = 1). Included study details appear in Table 2. The most common methodology of the articles was questionnaire (n = 77, 55.0%), cross-sectional (n = 23, 16.4%), and semi-structured or qualitative interview (n = 10, 7.4%).
Fig. 1

The methods of screening articles for this review

Table 2

Full list of articles included in review organized according to topic category

Career challenges
YearTitleWorld Bank income groupCountryStudy designPopulation sizeGender distribution (F/M) % FemaleFunding source
2020A Call to Action: Black/African American Women Surgeon Scientists, Where are They? [87]High incomeUnited StatesRetrospective reviewn = 123Not reported
2020A Report on the Representation of Women in Academic Plastic Surgery Leadership. [88]High incomeUnited StatesRetrospective reviewNot reported
2020Gender and academic promotion of Canadian general surgeons: a cross-sectional study. [89]High incomeCanadaCross-sectional analysisn = 405(111/294) 27%Not reported
2020Gender Disparities Among Burn Surgery Leadership. [90]High incomeUnited StatesCross-sectional analysisn = 581(58/523) 10%No funding
2020Gender Disparity Among Surgical Peer-Reviewed Literature. [91]High incomeUnited StatesRetrospective reviewNot reported
2020Influence of gender on career expectations of oral and maxillofacial surgeons.[92]Lower middle, upper middle and high income

Egypt

Jordan

Saudi Arabia

Questionnairen = 110(40/70) 36%Not reported
2020Perceptions on gender disparity in surgery and surgical leadership: A multicenter mixed methods study. [93]High incomeUnited statesMixed methodsn = 36(14/22) 39%No funding
2020Gender disparities in academic vascular surgeons. [94]High incomeUnited StatesCross-sectional analysisn = 951(117/774) 19%Not reported
2020Gender disparity and sexual harassment in vascular surgery practices. [95]High incomeUnited StatesQuestionnairen = 149(33/116) 22%Not reported
2019Barriers to careers identified by women in academic surgery: A grounded theory model. [21]High incomeUnited StatesSemi-structured interviewsn = 15100%No funding
2019Female Representation and Implicit Gender Bias at the 2017 American Society of Colon and Rectal Surgeons' Annual Scientific and Tripartite Meeting.[96]High incomeUnited StatesProspective observational studyn = 1532100%No funding
2019Gender differences among surgical fellowship program directors.[97]High incomeUnited StatesCross-sectional analysisn = 811Not reported
2019Is Gender Associated With Success in Academic Oral and Maxillofacial Surgery?[98]High incomeUnited StatesCross-sectional analysisn = 306(53/253) 17%Not reported
2019Military Medicine and the Academic Surgery Gender Gap. [99]High incomeUnited StatesCross-sectional analysisn = 2125(376/1749) 18%Not reported
2019Assessment of Gender Differences in Perceptions of Work–Life Integration Among Head and Neck Surgeons. [100]High incomeUnited StatesQuestionnairen = 261(71/190) 27%Not reported
2019A woman's place is in theatre: women's perceptions and experiences of working in surgery from the Association of Surgeons of Great Britain and Ireland women in surgery working group. [24]High income

United Kingdom

Ireland

Questionnairen = 81100%Not-for-profit sponsored
2019Despite Growing Number of Women Surgeons, Authorship Gender Disparity in Orthopaedic Literature Persists Over 30 Years. [101]High incomeUnited StatesCross-sectional analysisn = 6Not reported 
2019Editorial (Spring) Board? Gender Composition in High-impact General Surgery Journals Over 20 Years. [102]High incomeUnited StatesCross-sectional analysisn = 10Public-Sponsored
2019Gender Disparity in Surgery: An Evaluation of Surgical Societies. [103]High incomeUnited StatesCross-sectional analysisn = 587(135/452) 23%Not reported
2019Gender representation in leadership roles in UK surgical societies. [3]High incomeUnited KingdomCross-sectional analysisn = 20,803(2446/18,357) 12%No funding
2019Is there a gender bias in the advancement to SAGES leadership? [104]High incomeUnited StatesRetrospective longitudinal analysisn = 1546(323/1223) 21%Not reported
2019Change Is Happening: An Evaluation of Gender Disparities in Academic Plastic Surgery. [105]High incomeUnited StatesCross-sectional analysisn = 938(186/752) 20%No funding
2019Gender disparities in academic rank achievement in neurosurgery: a critical assessment. [106]High incomeUnited StatesCross-sectional analysisn = 841(80/761) 10%Not reported
2019Gender Disparity in Leadership Positions of General Surgical Societies in North America, Europe, and Oceania. [20]High income

United States Australia

New Zealand (Europe)Δ

Retrospective cross-sectional analysisNot reported
2019Practice patterns and work environments that influence gender inequality among academic surgeons. [107]High incomeUnited StatesRetrospective cross-sectional analysisn = 51(10/41) 20%No funding
2019Female Neurosurgeons in Europe-On a Prevailing Glass Ceiling. [16]Lower middle Upper middle and High income22 CountriesQuestionnairen = 116100%No funding
2018Female Surgeons as Counter Stereotype: The Impact of Gender Perceptions on Trainee Evaluations of Physician Faculty. [108]High incomeUnited StatesCross-sectional analysisn = 1066(467/599) 44%Not reported
2018Organizational barriers to and facilitators for female surgeons' career progression: a systematic review. [109]High income

United Kingdom

United States

Canada

Systematic reviewNo funding
2017Discrimination against female surgeons is still alive: Where are the full professorships and chairs of departments? [110]High incomeUnited StatesSystematic review100%Not reported
2017E-WIN Project 2016: Evaluating the Current Gender Situation in Neurosurgery Across Europe-An Interactive, Multiple-Level Survey [17]Lower middle Upper middle and High income35 countries*Questionnairen = 12,98512%Not reported
2017Gender Differences in the Professional and Personal Lives of Plastic Surgeons [111]High incomeUnited StatesQuestionnairen = 757(309/448) 41%Not reported
2016Gender Differences in Pediatric Orthopedics: What Are the Implications for the Future Workforce? [112]High incomeUnited StatesQuestionnairen = 62(18/44) 29%Not reported
2016The erasure of gender in academic surgery: a qualitative study. [113]High incomeCanadaQualitative interviewsn = 8100%Not reported
2015Surgeons in Difficulty: An Exploration of Differences in Assistance-Seeking Behaviors between Male and Female Surgeons. [114]High incomeUnited StatesQuestionnairen = 192(113/79) 59%Not reported
2015Women in surgery: factors deterring women from being surgeons in Zimbabwe. [27]Lower middle incomeZimbabweQuestionnairen = 159(74/85) 46%Not reported
2014Gender inequality in career advancement for females in Japanese academic surgery. [115]High incomeJapanQuantitative/evaluation studyn = 787(132/655) 17%Not reported
2013Perceived gender-based barriers to careers in academic surgery. [116]High incomeUnited StatesQuestionnairen = 154(70/84) 46%Not reported
2011Is there still a glass ceiling for women in academic surgery? [22]High incomeUnited StatesScoping review100%Not reported
2011Under representation of women in surgery in Nigeria: by choice or by design?[25]Lower middle incomeNigeriaQuestionnairen = 105100%Not reported
2010Women in surgery: a survey in Switzerland. [23]High incomeSwitzerlandQuestionnairen = 189100%No funding
2009Practice patterns and career satisfaction of Canadian female general surgeons [117]High incomeCanadaQuestionnairen = 85100%Not reported
2006Challenges confronting female surgical leaders: Overcoming the barriers [26]High incomeUnited StatesSemi-structure interviewsn = 10100%Not reported
2004Women in academic general surgery.[118]High incomeUnited StatesQuestionnairen = 317(149/168) 47%Not Reported
2004Professional satisfaction of women in surgery: results of a national study. [119]High incomeAustriaQuestionnairen = 206100%Not-for-profit-sponsored
2001Collective contributions of women to cardiothoracic surgery: a perspective review. [120]High incomeUnited StatesCross-sectional analysisn = 84100%Not reported
2000Perceived obstacles to career success for women in academic surgery. [121]High incomeUnited StatesQuestionnaire/systematic reviewn = 54(9/45) 17%Not reported
1996Women in oral and maxillofacial surgery: factors affecting career choices, attitudes, and practice characteristics. [122]High incomeUnited StatesQuestionnairen = 107100%Not reported

Blank boxes indicate that data could not be found or did not apply

* Did not analyze data according to the 35 Countries in this study: Albania, Austria, Belgium, Bosnia-Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Israel, Italy, Kazakhstan, Kosovo, Latvia, Lithuania, Moldova, Netherlands, Poland, Portugal, Romania, Russia, Serbia, Slovakia, Spain, Sweden, Switzerland, Turkey, Ukraine, and United Kingdom

ΔDid not analyze data according to country

†Did not analyze data according to the 22 Countries in this study: Austria, Belgium, Croatia, Czech Republic, Estonia, France, Germany, Greece, Ireland, Italy, Latvia, Netherlands, Poland, Portugal, Russia, Serbia, Spain, Sweden, Switzerland, Turkey, Ukraine, and United Kingdom

Included countries were indicated in a map in the article, therefore reliable data on exact countries could not be completely determined

∓Only these 3 countries were listed: United States, Canada and Mexico. The rest of the study population was designated by continent only. A complete list could not be determined for this study as results did not analyze differences between countries

°Respondents from 53 countries participated in this study, but the authors only reported countries with > 10 responses in their paper

The methods of screening articles for this review Full list of articles included in review organized according to topic category Egypt Jordan Saudi Arabia United Kingdom Ireland United States Australia New Zealand (Europe)Δ United Kingdom United States Canada Australia New Zealand Australia New Zealand United States United Kingdom Sweden Canada Denmark Switzerland Lower middle Upper middle High income United States United Kingdom Canada Nigeria Australia China Sweden Ireland Israel Finland Italy South Africa° United States Japan Finland Hong Kong (SAR, China) Australia New Zealand Blank boxes indicate that data could not be found or did not apply * Did not analyze data according to the 35 Countries in this study: Albania, Austria, Belgium, Bosnia-Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Israel, Italy, Kazakhstan, Kosovo, Latvia, Lithuania, Moldova, Netherlands, Poland, Portugal, Romania, Russia, Serbia, Slovakia, Spain, Sweden, Switzerland, Turkey, Ukraine, and United Kingdom ΔDid not analyze data according to country †Did not analyze data according to the 22 Countries in this study: Austria, Belgium, Croatia, Czech Republic, Estonia, France, Germany, Greece, Ireland, Italy, Latvia, Netherlands, Poland, Portugal, Russia, Serbia, Spain, Sweden, Switzerland, Turkey, Ukraine, and United Kingdom Included countries were indicated in a map in the article, therefore reliable data on exact countries could not be completely determined ∓Only these 3 countries were listed: United States, Canada and Mexico. The rest of the study population was designated by continent only. A complete list could not be determined for this study as results did not analyze differences between countries °Respondents from 53 countries participated in this study, but the authors only reported countries with > 10 responses in their paper

Geography, World Bank income level and GGGI

Fifteen studies examined populations from multiple countries (Table 2). Most study populations originated from the North America (n = 103, 62.4%) and Europe (n = 31, 18.8%). Remaining study populations originated from Asia (n = 13, 7.9%), Oceania (n = 10, 6.1%), and Africa (n = 8, 4.8%) (Table 3). No studies evaluated female surgeons in Central or South America (Fig. 2, Table 3). Ninety-one percent (n = 127) of the studies exclusively examined populations from HICs (Table 2). Six studies (4%) exclusively examined populations from lower income countries (UMIC, LMIC, or LIC), whereas five studies (4%) evaluated populations from at least one HIC and one lower income country (Table 2). The country origins of the population in one study (1%) could not be determined [15]. Populations from HICs were represented in 95.0% of the studies (n = 132). Of the 26 countries represented, half (n = 13) were within the top 25% countries in the world for GGGI, and 73% (n = 19) fell within the top 50% of the 153 countries ranked by the index. One hundred and twenty-five (90%) studies exclusively examined populations from the top 50% of all GGGI ranked countries. Of the lower 50% of all countries rated by the GGGI, only 9% (n = 7) have study populations included in the current literature (Fig. 2, Table 4). Two countries, Japan, and Saudi Arabia were high-income economies with GGGI rankings in the bottom 50% of countries. One country, Rwanda, was a LIC ranked in the top 10 of GGGI ranked countries.
Table 3

Countries with study populations examined in the scoping review by continent, number of studies and World Bank income level

ContinentStudies per continent, n (%)Country*World Bank income levelStudies per country, n (%)
Africa8 (4.8)EgyptLower middle income1 (0.6)
NigeriaLower middle income3 (1.8)
RwandaLow income1 (0.6)
South AfricaUpper middle income2 (1.2)
ZimbabweLower middle income1 (0.6)
Asia13 (7.9)ChinaUpper middle income1 (0.6)
IsraelHigh income1 (0.6)
Hong Kong (SAR China)High income3 (1.8)
JapanHigh income5 (3.0)
JordanUpper middle income1 (0.6)
Saudi ArabiaHigh income1 (0.6)
TurkeyUpper middle income1 (0.6)
Europe31 (18.8)AustriaHigh income1 (0.6)
DenmarkHigh income1 (0.6)
FinlandHigh income2 (1.2)
GermanyHigh income2 (1.2)
IrelandHigh income3 (1.8)
ItalyHigh income1 (0.6)
NorwayHigh income1 (0.6)
PolandHigh income1 (0.6)
SwedenHigh income2 (1.2)
SwitzerlandHigh income3 (1.8)
United KingdomHigh income14 (8.5)
North America103 (62.4)CanadaHigh income14 (8.5)
United StatesHigh income89 (53.9)
Oceania10 (6.1)AustraliaHigh income6 (3.6)
New ZealandHigh income4 (2.4)
South America0

* Six studies examined additional countries but did not analyze the differences between country populations [15–20]

†For the purposes of this review, Hong Kong (SAR, China) was treated as an entity distinct from China as the experiences of female surgeons between Hong Kong (SAR, China) and mainland China likely differ

Fig. 2

The number of studies per country overlaid on a 2020 heat map of the Global Gender Inequality Index

Table 4

Global gender inequality index ranking of the countries with study populations included in the review

Study populations by countryGlobal gender gap index ranking 2020*Economic participation and opportunityEducational attainmentHealth and survivalPolitical empowerment
Norway21131952
Finland3181565
Sweden416591179
New Zealand627110913
Ireland7434711311
Rwanda979114904
Germany10481038612
Denmark1441110117
South Africa179267110
Switzerland18347711019
Canada1930110525
United Kingdom21583811220
Austria348618230
Poland405758149
Australia4449110457
Zimbabwe474598154
United States5326347086
Israel646719764
Italy761175511844
China1069110015395
Japan1211159140144
Nigeria12838145135146
Turkey13013611364109
Egypt13414010285103
Jordan13814581103113
Saudi Arabia14614892139136

* 153 total reported countries

†Hong Kong (SAR, China) is not individually ranked in the GGGI index, which focuses on China as a whole

Countries with study populations examined in the scoping review by continent, number of studies and World Bank income level * Six studies examined additional countries but did not analyze the differences between country populations [15-20] †For the purposes of this review, Hong Kong (SAR, China) was treated as an entity distinct from China as the experiences of female surgeons between Hong Kong (SAR, China) and mainland China likely differ The number of studies per country overlaid on a 2020 heat map of the Global Gender Inequality Index Global gender inequality index ranking of the countries with study populations included in the review * 153 total reported countries †Hong Kong (SAR, China) is not individually ranked in the GGGI index, which focuses on China as a whole

Careers challenges

Eighty-nine percent of articles (42 of 47 articles) focusing on career challenges studied only populations from HICs (Tables 2 and 3). Three articles (7%) studied populations from HICs, UMICs, and LMICs, while two articles (4%) studied only populations from LMICs (Tables 2 and 3). Forty-two (89%) of these 47 studies exclusively examined women from the top 50% of GGGI rated countries (Tables 2, 3 and 4). Female surgeons from different countries had different perceptions of their career barriers. US surgeons attributed their career barriers to ineffective mentorship, gender stereotypes, unclear expectations, a perceived lack of belonging, and sexism in the workplace [21, 22]. Barriers to career success in Europe were ineffective mentorship, gender stereotypes, a lack of part-time career availability, and work–family conflicts [23, 24]. In Nigeria, female surgeons listed limited time with family, workload, physical effort, a lack of women in surgery, and a lack of role models as deterrents from surgical careers [25]. Two studies recommend steps to increase women in surgery. Kass et al. reported the most important factors for academic success by US female surgeons was the pursuit of mentorship (60% of respondents), setting career goals (50% of respondents) and honing writing skills and publishing (50% of respondents) [26]. To achieve better gender balance in surgery, female and male surgeons in Zimbabwe recommended better working conditions, increasing female interest in surgery, increasing the number of female role models, and changing cultural/religious beliefs [27].

Residency and training

Thirty-seven studies focused on female surgeons in residency and training, with 86% (n = 32) of these articles exclusively describing HIC populations (Tables 2 and 3). Thirty-three (89%) of the articles this category focused only on the upper half of all GGGI rated countries (Tables 2 and 4). Two articles studied UMICs exclusively (South Africa by Umoetok et al.[28] and Turkey by Eyigor et al. [29]) and one article focused on a LIC, Rwanda [30]. Two studies examined populations from multiple income levels [15, 18].

Gender-based discrimination

Fifty-one percent (n = 19) of the articles reviewing residency and training, highlighted female surgical trainees’ challenges with gender-based discrimination [28-46]. Gender-based discrimination was described as negative stereotyping, exclusion from networking, and physical, emotional and sexual harassment. Male colleagues were the perpetrators of 98% of reported harassment by female surgical residents in the US and 72% of these cases were from attending physicians [41]. In Canada, 25% of female medical students reported gender-based discrimination during their surgical clerkship, versus 3% of men; this discrimination was from surgeons (35%), surgical residents (25%), and nurses (17%) [33]. In the UK, 15% of female medical students were told by senior healthcare professionals that women should not be surgeons and 34% witnessed negative comments made about women as surgeons [44]. In Australia and New Zealand, the attrition of female surgical trainees was caused in part by bullying, sexual harassment, sexism, fear of repercussion, poor mental health, and a lack of support pathways [46]. In South Africa, an UMIC, 34% of female surgeons experienced physical threats, 40% experienced emotional threats, and 50% reported bullying [28]. Female surgical trainees in Turkey (an UMIC) were more likely to report gender-based discrimination if they were training in departments without female faculty (p < 0.006) [29]. Discrimination against female surgical trainees in Turkey was perpetrated by their seniors (68%), colleagues (25%), patients (6%) and hospital staff (1%) [29].

Gender differences in surgical skill

Three studies compared the surgical skills of male and female trainees in six HICs [47-49]. Two studies examining technical capabilities in bowel anastomoses and physical strength found no significant difference in male and female surgical residents’ capabilities [47, 48]. In Rwanda, 66.7% of male and 50% of female surgeons believed that women were physically and mentally weaker than men and therefore less able to perform surgeries [30]. One female surgeon reported that there was a biological basis for the gender disparity in surgery, stating that the difference was “testosterone. Men do not fear and female do fear” [30].

Mentorship

The impact and lack of mentorship in training were discussed in six articles from HICs [32, 36, 46, 50–52], one article from an UMIC (South Africa) [28], and one article from a LIC (Rwanda) [30]. One study from the US found that a significantly higher proportion of female medical students pursued surgery when their school had more female surgical role models (p < 0.0001) [50]. However, a qualitative survey in the US reported that 44% of female general surgery residents felt they lacked mentorship and that more mentorship for female surgeons is needed [36]. Similarly, in Canada, 80% of the female members of the Royal College of Physicians and Surgeons reported needing a female mentor [32]. The absence of interactions with other women in surgery was a noted reason why female trainees left surgical training in Australia and New Zealand [46]. Female surgeons in Japan had 3.6 mentors each on average, with 2.8 being male and 0.8 being female [52]. In South Africa, 75% of the female surgeons reported having a mentor, with 33.3% of their mentors being female [28]. In 22% (n = 7) of cases, respondents believed that the gender of their mentor made a difference in their training quality [28]. Rwanda had two female surgeons in the country as of 2018; role models for female surgical trainees in Rwanda were male surgeons and female peers [30].

Family and work–life balance

Thirty-six studies focused on family and work–life balance with 34 articles (94%) exclusively evaluating populations from HICs. Of the 34 articles with GGGI ranked populations, 29 articles (85%) solely studied populations from the upper half of all GGGI rated countries (Tables 2, 3, and 4). One study (3%) by Abolarinwa et al. exclusively studied Nigeria, a LMIC [53]. Another study evaluated HICs, UMICs (China and South Africa) and a LMIC (Nigeria) [19].

Pregnancy

Nineteen studies reported on the pregnancies of female surgeons [19, 53–70]. In the US, 27.5% of female surgeons had children during residency, compared with 62.4% after residency [70]. In Canada, 29.4% of female surgeons had children during residency, 7.7% prior to residency, and 55.2% after residency [62]. Female surgeons in the US who were pregnant during training reported feeling poorly judged (73.1%), pressured to schedule their pregnancies around training (55.1%), and that their work schedule negatively impacted their or their child’s health (63.3%) [65]. US female surgical trainees without children reported sadness when thinking about children (p = 0.047) and worry that they will never have children compared to male trainees (p < 0.0001) [67]. In contrast, female surgeons in Nigeria who had children gave birth more often during training (78.8%); 37.5% felt their pregnancy negatively impacted their training by increasing training time, straining relationships with instructors, or creating difficulty with scheduling outside rotations [53].

Maternity leave

Ten studies evaluated access to childcare and maternity leave policies for female surgeons from only HICs [54, 55, 57, 61–63, 66, 69–71]. A study by Walsh et al. included populations from the US, Canada, the UK, China, Sweden, Australia, Nigeria, and South Africa [19]. In this study, Chinese female surgeons were the least likely to reduce their workload while pregnant [19]. All Nigerian female surgeons reported their spouses could not receive paid paternity leave and 86% reported that their spouses were unlikely to get unpaid paternity leave [19].

Childcare and housework

Nine studies exclusively from HICs [57, 64, 70–76] found that women had a higher proportion of household and childcare responsibilities. Female surgeons from the US reported one to ten more hours of housework per week versus male surgeons [72]. In Germany, female surgeons spent 7.4% of their week running the household compared to 5.9% for male surgeons [70]. Female surgeons from Canada reported more hours of childcare per week compared to male surgeons (p < 0.0003) [74]. Twenty-seven percent of female surgeons in Switzerland completed all housework themselves [75]. In Hong Kong, more female surgeons reported having less time to rest than male surgeons (p = 0.038) [71]. Japanese female surgeons were more likely to report sacrificing career success or advancement for childbearing (p < 0.01); they had less family support for their careers than female surgeons from other countries (p < 0.01) [76]. Japanese female surgeons also had the least amount of personal time [76]. In Hong Kong, female surgeons reported less time for community participation and rest compared to male counterparts [71].

Health and other topics

Nineteen studies, all from HICs and the upper half of GGGI countries, focused on other topics: interpersonal interactions (n = 3), payment (n = 8), physical health (n = 5), demographics (n = 2), and international volunteerism (n = 1) (Fig. 1, Table 2). Female surgeons in Poland had shorter life expectancies than the general female population (77.5 vs 86.6 years) [77]. Norwegian female surgeons drank large quantities of alcohol more frequently than non-surgeon female physicians (18% vs. 7.6%) [78]. Compared to the general population in the US, breast cancer prevalence was significantly greater in female orthopedic surgeons (p < 0.001) [79]. US female surgeons were more likely to receive treatment for issues relating to their hands than males (p = 0.028), citing instrument design (84%) and operating room table height (44%) as the cause of their symptoms [80]. In the US, female surgeons earned over $60,000 less per year than male surgeons after controlling for work hours, case volume, years in practice, practice setting and specialty (p < 0.001) [81].

Discussion

To the author’s knowledge, this study reflects the only scoping review evaluating the experiences of female surgeons worldwide. The demographics of included studies alone provide unique insights into the literature on women in surgery. The majority of research on female surgeons was published in the past five years and focuses on women from the US or other HICs and high GGGI ranked countries. With only 26 countries in this review, we have demonstrated a large shortage of literature on female surgeons experiences compared to the reported 53 countries where female surgeons exist [19]. In particular, no literature on female surgeons was available from Central and South America, despite evidence of women working as surgeons in this region [82]. More importantly, this review has demonstrated that differences in culture, economic and educational opportunity, gender equity and women’s empowerment affect the experiences of both female surgical trainees and current female surgeons [3, 18, 83]. The first step in training and retaining more women in surgery is to support the current cohort of female surgeons worldwide, as female surgeons in North America, Europe, Oceania, Asia, and Africa identified lack of mentorship, particularly female mentorship, as a barrier to career advancement and a reason for attrition in surgical training [23, 27, 28, 30, 32, 36, 46, 52, 75]. One possible solution for this barrier is to increase the mentorship and visibility of women in surgical specialties, which has been demonstrated in the US to positively influence young women to enter surgical specialties [50]. Increasing the number of female surgeons through mentorship is less feasible in some countries. Despite evidence that women and men have equivalent physical strength and skills, the limited number of female surgeons currently in countries like Rwanda, along with the societal belief that women are less suited for the demands of surgery, limits the availability of mentors for new female surgeons [30, 47–49]. A country’s income and GGGI status can help frame the need to support their women in surgery. Rwanda is a LIC with a high ranking for global gender equality but very low ranking for educational attainment; negative attitudes towards female surgeons may stem from a deeper sociological mindset towards the educational achievements and career choices of women. Zimbabwe has a moderate GGGI ranking overall but a low ranking in educational attainment; there, both male and female surgeons believe that cultural and religious attitudes need to change in order to achieve gender equity in surgery [27]. In low-and-middle income countries with lower GGGI educational attainment rankings, working to change cultural attitudes about female education and stereotypical gender roles may be the first step towards increasing the prevalence of women in surgery. Regardless of country income level, lower GGGI rankings can predict restrictive gender norms that limit female attainment in surgery. Populations from East Asia (Japan, Hong Kong, and China) had higher incomes (HIC and UMIC) and GGGI rankings in the lower 50%, particularly in economic participation. This dichotomy may highlight cultural structures less inclusive of female advancement. Unlike female surgeons from western countries, Japanese female surgeons reported less familial support for their careers and less leisure time. Seen as the responsibility primarily of women in countries with lower GGGI rankings and low female economic participation, domestic duties are in direct conflict with medical systems that rewards long hours and increased overtime work [76]. Therefore, the medical fields in countries with low GGGI rankings, regardless of income status, may be designed to favor the male workforce. Gender norms in these countries further strain female surgeons’ work–life balance and career attainment. Future initiatives in these countries should target cultural attitudes about women’s domestic roles and economic participation along with policies to increase flexible work schedules for female surgeons. In HICs with high GGGI rankings, geographic and cultural differences affect surgeons’ perceptions and barriers. Female surgeons did more household work than male counterparts. Child-related barriers were reported more by Europeans than Americans [21-24], which was surprising given the abundance of state and hospital sponsored childcare in Europe [84]. The ubiquity of childcare in Europe may have created an environment where small gaps in childcare services are a perceived barrier, while childcare in the US is completely privatized. Countries with extended family support systems do not face the same childcare challenges. Nigeria has lower income and low GGGI, but most Nigerian female surgeons were able to have children during residency without barriers (79%), unlike women in the US and UK (28% and 47%, respectively) [53, 61, 70]. With older relatives living in the home, Nigerian women can rely on an extended family system to run households [53, 85]. This extended family system is common in countries with similar cultural norms, allowing female surgeons from lower income and lower GGGI countries to achieve greater work–life balance at earlier stages of their careers. Discrimination against female surgeons during their training, career, and pregnancy, was a common finding in high GGGI and higher income countries (HICs, UMICs) countries such as the US, UK and South Africa [28, 31–42, 65]. Discrimination and harassment were perpetuated most commonly by male colleagues in positions of power, which increases work-related stress and burnout while decreasing retention rates among female surgeons [33, 41]. High GGGI ranked countries may have more awareness towards discrimination against professional women. In lower ranked GGGI countries, the lack of studies on gender-based discrimination against female surgeons underrepresents the extent of the problem. A lack of awareness or minimal consequences for discrimination in low GGGI countries contributes to the absence of advocacy against discrimination. In a Turkish example, increasing the number of female surgeons in leadership is one way to reduced gender-based discrimination [29]; this model could be replicated in similar environments. Female surgeons in HICs and high GGGI countries reported worse health outcomes compared to male surgeons and the general population. Studies from HICs reported that female surgeons had higher rates of cancer, alcohol consumption, and musculoskeletal ailment accompanied by lower life expectancies across European and North American countries [77-80]. As all the literature on female surgeons’ health focused on HICs, this finding could not be compared to female surgeons in lower income countries. But, the difference between female surgeons and the general population may be less obvious in environments where average health and lifespan standards are lower [86]. It is also possible that a career as a surgeon may provide a higher standard of living in lower income countries, which can counteract some of the health detriments from the profession seen in HICs. However, further studies would be needed to validate these hypotheses. This study is limited by its design as a scoping review, as such there was no formal evaluation of the quality of evidence or risk of bias in the studies. Additionally, the lack of reporting from Central and South America limits this study’s generalizability to this region. The lack of studies from South or Central America likely has to do with our inclusion and exclusion criteria, specifically with regards to literature available in English. During the review many studies on South America emerged, one discussed the proportions of female surgeons in Brazil [82], but none specifically discussed the experiences of female surgeons from any country in this region. As 91% and 90% of studies exclusively examined HICs and high GGGI countries, respectively, the role of income level and GGGI ranking in female surgeons’ experiences cannot be generalized without more diversity in the literature. The lack of reporting from lower income and lower GGGI countries limits the ability to provide definitive, context-specific recommendations to improve female surgeon experiences and participation.

Conclusions

Different geographic regions along with cultural and societal norms influence gender equity and the experiences of women in surgery. Universally, women from all regions reported a lack of mentorship as a barrier to advancement. An overwhelming majority of studies originated in high-income, high GGGI countries in Europe and North America. In HICs, surgical trainee abilities are seen as equal between men and women, but women endure discrimination from male co-workers and reported more child-related barriers to their careers than their male counterparts. While female surgeon abilities were seen as inferior in some lower income countries, limited studies suggest that women may have more child rearing support and be less likely to delay childbearing. The effects of income and GGGI are complex, as neither independently predict gender equity in surgery. More studies in lower income and lower GGGI countries are needed to understand this relationship and how to improve the female surgical experience to increase surgical capacity worldwide. Additional file 1. PRIMSA-ScR-Checklist. Additional file 2. Scoping Review Protocol.
  131 in total

Review 1.  Women in medicine--is there a problem? A literature review of the changing gender composition, structures and occupational cultures in medicine.

Authors:  Sue Kilminster; Julia Downes; Brendan Gough; Deborah Murdoch-Eaton; Trudie Roberts
Journal:  Med Educ       Date:  2007-01       Impact factor: 6.251

2.  Nepotism and sexism in peer-review.

Authors:  C Wenneras; A Wold
Journal:  Nature       Date:  1997-05-22       Impact factor: 49.962

3.  The Lancet Commission on Global Surgery Global surgery 2030: Evidence and solutions for achieving health, welfare and economic development.

Authors:  John G Meara; Sarah L M Greenberg
Journal:  Surgery       Date:  2015-05       Impact factor: 3.982

4.  Gender representation in leadership roles in UK surgical societies.

Authors:  Helen Skinner; Joshua R Burke; Alastair L Young; Robert A Adair; Andrew M Smith
Journal:  Int J Surg       Date:  2019-05-20       Impact factor: 6.071

5.  Sexual Harassment and Cardiothoracic Surgery: #UsToo?

Authors:  DuyKhanh P Ceppa; Scott C Dolejs; Natalie Boden; Sean Phelan; Katherine J Yost; Jessica Donington; Keith S Naunheim; Shanda Blackmon
Journal:  Ann Thorac Surg       Date:  2019-08-24       Impact factor: 4.330

6.  Women in surgical residency training programs.

Authors:  Laurel C Blakemore; Janette M Hall; J Sybil Biermann
Journal:  J Bone Joint Surg Am       Date:  2003-12       Impact factor: 5.284

7.  The history of women in surgery.

Authors:  Debrah A Wirtzfeld
Journal:  Can J Surg       Date:  2009-08       Impact factor: 2.089

8.  PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation.

Authors:  Andrea C Tricco; Erin Lillie; Wasifa Zarin; Kelly K O'Brien; Heather Colquhoun; Danielle Levac; David Moher; Micah D J Peters; Tanya Horsley; Laura Weeks; Susanne Hempel; Elie A Akl; Christine Chang; Jessie McGowan; Lesley Stewart; Lisa Hartling; Adrian Aldcroft; Michael G Wilson; Chantelle Garritty; Simon Lewin; Christina M Godfrey; Marilyn T Macdonald; Etienne V Langlois; Karla Soares-Weiser; Jo Moriarty; Tammy Clifford; Özge Tunçalp; Sharon E Straus
Journal:  Ann Intern Med       Date:  2018-09-04       Impact factor: 25.391

9.  A theoretical model for analysing gender bias in medicine.

Authors:  Gunilla Risberg; Eva E Johansson; Katarina Hamberg
Journal:  Int J Equity Health       Date:  2009-08-03

10.  Differences in incomes of physicians in the United States by race and sex: observational study.

Authors:  Dan P Ly; Seth A Seabury; Anupam B Jena
Journal:  BMJ       Date:  2016-06-07
View more
  2 in total

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Authors:  Thomas Hedley Newman; Matthew G Parry; Roxanna Zakeri; Victoria Pegna; Amy Nagle; Farah Bhatti; Stella Vig; James Stephen Arthur Green
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2.  Gender discrimination in surgical oncology: An in-house appraisal.

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  2 in total

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