Abstract
Background: The overall proportion of female physician is increasing worldwide. However, its ratio exhibits a substantial diversity among each member country of Organisation for Economic Co-operation and Development (OECD). This study aimed to reveal the social factors of countries associated with the percentage of female physicians.
Methods: We retrieved the percentage of female physicians and social characteristic which may affect the ratio of female physicians of 36 OECD countries in 2016 or nearest year from the World Bank Open Data. Multivariate regression analysis was performed after univariate evaluations with Spearman’s coefficient to explore correlation of social variables with the proportion of female physicians.
Results: The percentages of female adolescents who dropped out of school before lower secondary school, female population that attained or completed Master’s or equivalent degree, female labour force, and female academic staff in tertiary education showed statistically significant correlation with proportion of female physicians (Spearman coefficient = -0.527, 0.585, 0.501, and 0.499; P =.01, .001, .002, and .008). Female’s educational attainment at least Master’s or equivalent and that of female academic staff at tertiary education were selected after multivariate analysis.
Conclusion: Our study revealed the relationships between advanced education opportunity and female participation in academic positions with the percentage of female physicians. Our research is limited in the difficulty to evaluate physicians’ working hours in spite of its possible effect. Further studies with qualitative assessment are warranted to explore the detail reasons to cause gender gap in physician.
Keywords: Gender Gap, Advanced Education, Female Physician, Gender Inequality
Over the last several decades, social participation of women has been progressing worldwide. In fact, female to male ratio of labour force participation rate in high income countries has increased to 0.77 in 2018 from 0.67 in 1990, reported by the International Labour Organization.1 Similar trends of increased participation of female for medical workforce have been observed. In the United States, for instance, the proportion of licensed female physician was 35% in 2018, which increased by 37% from 2010.2 The female population of medical-school graduates has also increased as 46% in 2015 while 36% in 1990.3
The proportion of female physician, however, is diverse by country, ranging from 21% in Japan to 74% in Latvia among the Organisation for Economic Co-operation and Development (OECD) countries (Figure).4 This fact suggests that women’s status in the healthcare workforce could be impacted by cultural environments and women’s representation in individual countries. Thus, we determined whether the country characteristics could be correlated with the proportion of female physicians in this study.
Figure.
Proportion of Female Physicians.
The percentage of female physicians to total is presented by country in accordance with OECD Health Statistics 2019 updated on November 15, 2019. The most recent data was implemented in the figure.
All 36 OECD countries were analysed in this study. All statistical analyses were made by IBM SPSS 25 (IBM, Armonk, NY) and statistical significance was considered when P < .05. We tested a total of 146 variables from the World Bank Open Data for gender equality with Spearman correlation coefficients as univariate analysis (Supplementary file 1).5 After careful determination for duplicity or relationship between variables tested, the following variables were selected for multivariate evaluation; percentages of female adolescents out of secondary school, female children out of primary school, female’s educational attainment at least Master’s or equivalent, female labour force, and female academic staff at tertiary education. The multivariate linear regression analysis with stepwise selection was performed after we confirmed that the proportion of female physicians by country could follow a normal distribution determined by Shapiro–Wilk test. The regression model chose the percentage of female’s educational attainment at least Master’s or equivalent and that of female academic staff at tertiary education for significant contribution factors of female physician ratio (standardized beta coefficient = 0.44 and 0.48, P = .02 and 0.01, respectively; Adjusted R square = 0.51).
Our study revealed that the female physician ratio could link with advanced educational opportunity for female and the proportion of female academic staff in advanced educational institute although further investigation with larger number of countries and longitudinal evaluation are necessary. Our results suggest the importance of enhancing advanced educational opportunity for women and education given by women to enable higher proportion of female physicians. More participation of women in advanced education may make better quality of healthcare service since it was reported that female physician performed their practice with smaller medical payments and fewer clinic visits compared to the male physicians.6
We focused on common social characteristics which may associate with the proportion of female physicians across OECD countries. In this context, we also evaluated if a comprehensive indicator for gender barriers known as the Global Gender Gap Index could be correlated with female physician ratio,7 while no significant correlation was seen (r = 0.259 and P = .15). The potential gender barriers in individual country, for instance, religions, regulations and policies, might influence female physician ratio. Japan and Korea are the lowest two countries (21% and 22% of female physicians to total, respectively), and are both in East Asia, which have distinct cultural and religious aspects to European countries included in our study. The gender discrimination in the admission examination of medical schools has been reported in Japan.8 Moreover, a recent study suggested that mistreatment, including sexual harassment, verbal and physical abuse based on gender, is more likely to cause mental exhaustion and burnout among female residents than male.9 While it is difficult to cross-sectionally evaluate and compare the degree of mental exhaustion based on gender discrimination, this variation may develop to a diverse gender gap observed among physicians in OECD countries. Further studies with qualitative assessment are warranted to explore the detail reasons to cause gender gap in physician.
Acknowledgements
The authors thank Dr. Shuhei Nomura for his constructive opinions and insights.
Ethical issues
Not applicable.
Competing interests
AO reports personal fees from MNES Inc., outside of the submitted work. All other authors declare that they have no competing interests.
Authors’ contributions
YS, MT, AO, and KM wrote the manuscript. All authors contributed to conception and design of the study, and critical revision of the paper. All authors read and approved the final manuscript.
Authors’ affiliations
1Faculty of Medicine, Comenius University, Bratislava, Slovakia. 2Medical Governance Research Institute, Tokyo, Japan. 3Department of Breast Surgery, Jyoban Hospital of Tokiwa Foundation, Fukushima, Japan.
Supplementary files
Supplementary file 1 contains Table S1.
Citation: Senoo Y, Takita M, Ozaki A, Kami M. The proportion of female physician links with advanced educational opportunity for female and by female. Int J Health Policy Manag. 2020;9(9):411–412. doi:10.15171/ijhpm.2019.147
References
- 1. International Labour Organization (ILO). Labour force participation rate -- ILO modelled estimates. https://www.ilo.org/ilostat/. Published 2018.
- 2.Young A, Chaudhry HJ, Pei X, Arnhart K, Dugan M, Steingard SA. FSMB Census of Licensed Physicians in the United States, 2018. Journal of Medical Regulation. 2019;105(2):7–23. [Google Scholar]
- 3. Association of American Medical Colleges. The State of Women in Academic Medicine: The Pipeline and Pathways to Leadership, 2015-2016 2016; https://www.aamc.org/members/gwims/statistics/. Accessed Novermber 26, 2019.
- 4. OECD. OECD Health Statistics 2019. http://www.oecd.org/els/health-systems/health-data.htm.
- 5. The World Bank. World Bank Open Data. https://data.worldbank.org/. Published 2019.
- 6.Mahr MA, Hayes SN, Shanafelt TD, Sloan JA, Erie JC. Gender Differences in Physician Service Provision Using Medicare Claims Data. Mayo Clin Proc. 2017;92(6):870–880. doi: 10.1016/j.mayocp.2017.02.017. [DOI] [PubMed] [Google Scholar]
- 7. World Economic Forum. The Global Gender Gap Report 2018. https://www.weforum.org/reports/the-global-gender-gap-report-2018. Published 2018.
- 8.Oshima K, Ozaki A, Mori J, Takita M, Tanimoto T. Entrance examination misogyny in Japanese medical schools. Lancet. 2019;393(10179):1416. doi: 10.1016/S0140-6736(18)33180-5. [DOI] [PubMed] [Google Scholar]
- 9.Hu YY, Ellis RJ, Hewitt DB. et al. Discrimination, Abuse, Harassment, and Burnout in Surgical Residency Training. N Engl J Med. 2019;381(18):1741–1752. doi: 10.1056/NEJMsa1903759. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplementary file 1 contains Table S1.