| Literature DB >> 33115509 |
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.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
Search terms and results from each database
| Included search terms | Results from PubMed | Results from web of science | Results from MEDLINE (Ovid) |
|---|---|---|---|
| “Female Surgeons” | 201 | 46 | 329 |
| “Women Surgeons” | 130 | 124 | 257 |
| Women in Surgery [Title]* | 58 | 53 | 236 |
| Female Surgeon [Title]* | 9 | 6 | 91 |
| Female “Surgical Training”* | 1299 | 252 | 2711 |
| Female “Surgical Experience”* | 2165 | 252 | 4695 |
| Totals | 3862 | 733 | 8319 |
| Total results | 12,914 | ||
* Search terms configured after the primary search to keep search results relevant to the study questions
Fig. 1The methods of screening articles for this review
Full list of articles included in review organized according to topic category
| Career challenges | |||||||
|---|---|---|---|---|---|---|---|
| Year | Title | World Bank income group | Country | Study design | Population size | Gender distribution (F/M) % Female | Funding source |
| 2020 | A Call to Action: Black/African American Women Surgeon Scientists, Where are They? [ | High income | United States | Retrospective review | Not reported | ||
| 2020 | A Report on the Representation of Women in Academic Plastic Surgery Leadership. [ | High income | United States | Retrospective review | Not reported | ||
| 2020 | Gender and academic promotion of Canadian general surgeons: a cross-sectional study. [ | High income | Canada | Cross-sectional analysis | (111/294) 27% | Not reported | |
| 2020 | Gender Disparities Among Burn Surgery Leadership. [ | High income | United States | Cross-sectional analysis | (58/523) 10% | No funding | |
| 2020 | Gender Disparity Among Surgical Peer-Reviewed Literature. [ | High income | United States | Retrospective review | Not reported | ||
| 2020 | Influence of gender on career expectations of oral and maxillofacial surgeons.[ | Lower middle, upper middle and high income | Egypt Jordan Saudi Arabia | Questionnaire | (40/70) 36% | Not reported | |
| 2020 | Perceptions on gender disparity in surgery and surgical leadership: A multicenter mixed methods study. [ | High income | United states | Mixed methods | (14/22) 39% | No funding | |
| 2020 | Gender disparities in academic vascular surgeons. [ | High income | United States | Cross-sectional analysis | (117/774) 19% | Not reported | |
| 2020 | Gender disparity and sexual harassment in vascular surgery practices. [ | High income | United States | Questionnaire | (33/116) 22% | Not reported | |
| 2019 | Barriers to careers identified by women in academic surgery: A grounded theory model. [ | High income | United States | Semi-structured interviews | 100% | No funding | |
| 2019 | Female Representation and Implicit Gender Bias at the 2017 American Society of Colon and Rectal Surgeons' Annual Scientific and Tripartite Meeting.[ | High income | United States | Prospective observational study | 100% | No funding | |
| 2019 | Gender differences among surgical fellowship program directors.[ | High income | United States | Cross-sectional analysis | Not reported | ||
| 2019 | Is Gender Associated With Success in Academic Oral and Maxillofacial Surgery?[ | High income | United States | Cross-sectional analysis | (53/253) 17% | Not reported | |
| 2019 | Military Medicine and the Academic Surgery Gender Gap. [ | High income | United States | Cross-sectional analysis | (376/1749) 18% | Not reported | |
| 2019 | Assessment of Gender Differences in Perceptions of Work–Life Integration Among Head and Neck Surgeons. [ | High income | United States | Questionnaire | (71/190) 27% | Not reported | |
| 2019 | A 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. [ | High income | United Kingdom Ireland | Questionnaire | 100% | Not-for-profit sponsored | |
| 2019 | Despite Growing Number of Women Surgeons, Authorship Gender Disparity in Orthopaedic Literature Persists Over 30 Years. [ | High income | United States | Cross-sectional analysis | Not reported | ||
| 2019 | Editorial (Spring) Board? Gender Composition in High-impact General Surgery Journals Over 20 Years. [ | High income | United States | Cross-sectional analysis | Public-Sponsored | ||
| 2019 | Gender Disparity in Surgery: An Evaluation of Surgical Societies. [ | High income | United States | Cross-sectional analysis | (135/452) 23% | Not reported | |
| 2019 | Gender representation in leadership roles in UK surgical societies. [ | High income | United Kingdom | Cross-sectional analysis | (2446/18,357) 12% | No funding | |
| 2019 | Is there a gender bias in the advancement to SAGES leadership? [ | High income | United States | Retrospective longitudinal analysis | (323/1223) 21% | Not reported | |
| 2019 | Change Is Happening: An Evaluation of Gender Disparities in Academic Plastic Surgery. [ | High income | United States | Cross-sectional analysis | (186/752) 20% | No funding | |
| 2019 | Gender disparities in academic rank achievement in neurosurgery: a critical assessment. [ | High income | United States | Cross-sectional analysis | (80/761) 10% | Not reported | |
| 2019 | Gender Disparity in Leadership Positions of General Surgical Societies in North America, Europe, and Oceania. [ | High income | United States Australia New Zealand (Europe)Δ | Retrospective cross-sectional analysis | Not reported | ||
| 2019 | Practice patterns and work environments that influence gender inequality among academic surgeons. [ | High income | United States | Retrospective cross-sectional analysis | (10/41) 20% | No funding | |
| 2019 | Female Neurosurgeons in Europe-On a Prevailing Glass Ceiling. [ | Lower middle Upper middle and High income | 22 Countries† | Questionnaire | 100% | No funding | |
| 2018 | Female Surgeons as Counter Stereotype: The Impact of Gender Perceptions on Trainee Evaluations of Physician Faculty. [ | High income | United States | Cross-sectional analysis | (467/599) 44% | Not reported | |
| 2018 | Organizational barriers to and facilitators for female surgeons' career progression: a systematic review. [ | High income | United Kingdom United States Canada | Systematic review | No funding | ||
| 2017 | Discrimination against female surgeons is still alive: Where are the full professorships and chairs of departments? [ | High income | United States | Systematic review | 100% | Not reported | |
| 2017 | E-WIN Project 2016: Evaluating the Current Gender Situation in Neurosurgery Across Europe-An Interactive, Multiple-Level Survey [ | Lower middle Upper middle and High income | 35 countries* | Questionnaire | 12% | Not reported | |
| 2017 | Gender Differences in the Professional and Personal Lives of Plastic Surgeons [ | High income | United States | Questionnaire | (309/448) 41% | Not reported | |
| 2016 | Gender Differences in Pediatric Orthopedics: What Are the Implications for the Future Workforce? [ | High income | United States | Questionnaire | (18/44) 29% | Not reported | |
| 2016 | The erasure of gender in academic surgery: a qualitative study. [ | High income | Canada | Qualitative interviews | 100% | Not reported | |
| 2015 | Surgeons in Difficulty: An Exploration of Differences in Assistance-Seeking Behaviors between Male and Female Surgeons. [ | High income | United States | Questionnaire | (113/79) 59% | Not reported | |
| 2015 | Women in surgery: factors deterring women from being surgeons in Zimbabwe. [ | Lower middle income | Zimbabwe | Questionnaire | (74/85) 46% | Not reported | |
| 2014 | Gender inequality in career advancement for females in Japanese academic surgery. [ | High income | Japan | Quantitative/evaluation study | (132/655) 17% | Not reported | |
| 2013 | Perceived gender-based barriers to careers in academic surgery. [ | High income | United States | Questionnaire | (70/84) 46% | Not reported | |
| 2011 | Is there still a glass ceiling for women in academic surgery? [ | High income | United States | Scoping review | 100% | Not reported | |
| 2011 | Under representation of women in surgery in Nigeria: by choice or by design?[ | Lower middle income | Nigeria | Questionnaire | 100% | Not reported | |
| 2010 | Women in surgery: a survey in Switzerland. [ | High income | Switzerland | Questionnaire | 100% | No funding | |
| 2009 | Practice patterns and career satisfaction of Canadian female general surgeons [ | High income | Canada | Questionnaire | 100% | Not reported | |
| 2006 | Challenges confronting female surgical leaders: Overcoming the barriers [ | High income | United States | Semi-structure interviews | 100% | Not reported | |
| 2004 | Women in academic general surgery.[ | High income | United States | Questionnaire | (149/168) 47% | Not Reported | |
| 2004 | Professional satisfaction of women in surgery: results of a national study. [ | High income | Austria | Questionnaire | 100% | Not-for-profit-sponsored | |
| 2001 | Collective contributions of women to cardiothoracic surgery: a perspective review. [ | High income | United States | Cross-sectional analysis | 100% | Not reported | |
| 2000 | Perceived obstacles to career success for women in academic surgery. [ | High income | United States | Questionnaire/systematic review | (9/45) 17% | Not reported | |
| 1996 | Women in oral and maxillofacial surgery: factors affecting career choices, attitudes, and practice characteristics. [ | High income | United States | Questionnaire | 100% | 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
Countries with study populations examined in the scoping review by continent, number of studies and World Bank income level
| Continent | Studies per continent, | Country* | World Bank income level | Studies per country, |
|---|---|---|---|---|
| Africa | 8 (4.8) | Egypt | Lower middle income | 1 (0.6) |
| Nigeria | Lower middle income | 3 (1.8) | ||
| Rwanda | Low income | 1 (0.6) | ||
| South Africa | Upper middle income | 2 (1.2) | ||
| Zimbabwe | Lower middle income | 1 (0.6) | ||
| Asia | 13 (7.9) | China | Upper middle income | 1 (0.6) |
| Israel | High income | 1 (0.6) | ||
| Hong Kong† (SAR China) | High income | 3 (1.8) | ||
| Japan | High income | 5 (3.0) | ||
| Jordan | Upper middle income | 1 (0.6) | ||
| Saudi Arabia | High income | 1 (0.6) | ||
| Turkey | Upper middle income | 1 (0.6) | ||
| Europe | 31 (18.8) | Austria | High income | 1 (0.6) |
| Denmark | High income | 1 (0.6) | ||
| Finland | High income | 2 (1.2) | ||
| Germany | High income | 2 (1.2) | ||
| Ireland | High income | 3 (1.8) | ||
| Italy | High income | 1 (0.6) | ||
| Norway | High income | 1 (0.6) | ||
| Poland | High income | 1 (0.6) | ||
| Sweden | High income | 2 (1.2) | ||
| Switzerland | High income | 3 (1.8) | ||
| United Kingdom | High income | 14 (8.5) | ||
| North America | 103 (62.4) | Canada | High income | 14 (8.5) |
| United States | High income | 89 (53.9) | ||
| Oceania | 10 (6.1) | Australia | High income | 6 (3.6) |
| New Zealand | High income | 4 (2.4) | ||
| South America | 0 |
* 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. 2The 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
| Study populations by country | Global gender gap index ranking 2020* | Economic participation and opportunity | Educational attainment | Health and survival | Political empowerment |
|---|---|---|---|---|---|
| Norway | 2 | 11 | 31 | 95 | 2 |
| Finland | 3 | 18 | 1 | 56 | 5 |
| Sweden | 4 | 16 | 59 | 117 | 9 |
| New Zealand | 6 | 27 | 1 | 109 | 13 |
| Ireland | 7 | 43 | 47 | 113 | 11 |
| Rwanda | 9 | 79 | 114 | 90 | 4 |
| Germany | 10 | 48 | 103 | 86 | 12 |
| Denmark | 14 | 41 | 1 | 101 | 17 |
| South Africa | 17 | 92 | 67 | 1 | 10 |
| Switzerland | 18 | 34 | 77 | 110 | 19 |
| Canada | 19 | 30 | 1 | 105 | 25 |
| United Kingdom | 21 | 58 | 38 | 112 | 20 |
| Austria | 34 | 86 | 1 | 82 | 30 |
| Poland | 40 | 57 | 58 | 1 | 49 |
| Australia | 44 | 49 | 1 | 104 | 57 |
| Zimbabwe | 47 | 45 | 98 | 1 | 54 |
| United States | 53 | 26 | 34 | 70 | 86 |
| Israel | 64 | 67 | 1 | 97 | 64 |
| Italy | 76 | 117 | 55 | 118 | 44 |
| China† | 106 | 91 | 100 | 153 | 95 |
| Japan | 121 | 115 | 91 | 40 | 144 |
| Nigeria | 128 | 38 | 145 | 135 | 146 |
| Turkey | 130 | 136 | 113 | 64 | 109 |
| Egypt | 134 | 140 | 102 | 85 | 103 |
| Jordan | 138 | 145 | 81 | 103 | 113 |
| Saudi Arabia | 146 | 148 | 92 | 139 | 136 |
* 153 total reported countries
†Hong Kong (SAR, China) is not individually ranked in the GGGI index, which focuses on China as a whole