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Published in: Human Resources for Health 1/2019

Open Access 01-12-2019 | Research

Feminisation of the health workforce and wage conditions of health professions: an exploratory analysis

Authors: Geordan Shannon, Nicole Minckas, Des Tan, Hassan Haghparast-Bidgoli, Neha Batura, Jenevieve Mannell

Published in: Human Resources for Health | Issue 1/2019

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Abstract

Background

The feminisation of the global health workforce presents a unique challenge for human resource policy and health sector reform which requires an explicit gender focus. Relatively little is known about changes in the gender composition of the health workforce and its impact on drivers of global health workforce dynamics such as wage conditions. In this article, we use a gender analysis to explore if the feminisation of the global health workforce leads to a deterioration of wage conditions in health.

Methods

We performed an exploratory, time series analysis of gender disaggregated WageIndicator data. We explored global gender trends, wage gaps and wage conditions over time in selected health occupations. We analysed a sample of 25 countries over 9 years between 2006 and 2014, containing data from 970,894 individuals, with 79,633 participants working in health occupations (48,282 of which reported wage data). We reported by year, country income level and health occupation grouping.

Results

The health workforce is feminising, particularly in lower- and upper-middle-income countries. This was associated with a wage gap for women of 26 to 36% less than men, which increased over time. In lower- and upper-middle-income countries, an increasing proportion of women in the health workforce was associated with an increasing gender wage gap and decreasing wage conditions. The gender wage gap was pronounced in both clinical and allied health professions and over lower-middle-, upper-middle- and high-income countries, although the largest gender wage gaps were seen in allied healthcare occupations in lower-middle-income countries.

Conclusion

These results, if a true reflection of the global health workforce, have significant implications for health policy and planning and highlight tensions between current, purely economic, framing of health workforce dynamics and the need for more extensive gender analysis. They also highlight the value of a more nuanced approach to health workforce planning that is gender sensitive, specific to countries’ levels of development, and considers specific health occupations.
Literature
1.
go back to reference Feuvre N. Exploring women’s academic careers in cross-national perspective: lessons for equal opportunity policies. Equal Opportunities International. 2009;28(1):9–23.CrossRef Feuvre N. Exploring women’s academic careers in cross-national perspective: lessons for equal opportunity policies. Equal Opportunities International. 2009;28(1):9–23.CrossRef
2.
go back to reference Phillips SP, Austin EB. The feminisation of medicine and population health. JAMA. 2009;301(8):863–4.CrossRef Phillips SP, Austin EB. The feminisation of medicine and population health. JAMA. 2009;301(8):863–4.CrossRef
3.
go back to reference General Medical Council. The state of medical education and practice in the UK. London: General Medical Council; 2016. General Medical Council. The state of medical education and practice in the UK. London: General Medical Council; 2016.
4.
go back to reference Bangladesh: (Hossain P, Das Gupta R, Yar Zar P, Salieu Jalloh M, Tasnim N, Afrin A, et al. (2019) ‘Feminization’ of physician workforce in Bangladesh, underlying factors and implications for health system: insights from a mixed-methods study. PLoS ONE 14(1): e0210820)CrossRef Bangladesh: (Hossain P, Das Gupta R, Yar Zar P, Salieu Jalloh M, Tasnim N, Afrin A, et al. (2019) ‘Feminization’ of physician workforce in Bangladesh, underlying factors and implications for health system: insights from a mixed-methods study. PLoS ONE 14(1): e0210820)CrossRef
5.
go back to reference Canada. Canadian Health Human Resources Network. Feminisation of the physician workforce: implications for health human resource planning. Canadian Health Human Resources Network, Canada. 2013. Canada. Canadian Health Human Resources Network. Feminisation of the physician workforce: implications for health human resource planning. Canadian Health Human Resources Network, Canada. 2013.
6.
go back to reference Cape Verde, Guinea Bissau, Mozambique: (Russo G, Gonçalves L, Craveiro I, Dussault G. Feminization of the medical workforce in low-income settings; findings from surveys in three African capital cities. Hum Resources for Health. 2015 Dec;13(1):64)CrossRef Cape Verde, Guinea Bissau, Mozambique: (Russo G, Gonçalves L, Craveiro I, Dussault G. Feminization of the medical workforce in low-income settings; findings from surveys in three African capital cities. Hum Resources for Health. 2015 Dec;13(1):64)CrossRef
7.
go back to reference Haklai Z, Applbaum Y, Tal O, Aburbeh M, Goldberge NF. Female physicians: trends and likely impacts on healthcare in Israel. Israel Journal of Health Policy Research. 2013;2:37.CrossRef Haklai Z, Applbaum Y, Tal O, Aburbeh M, Goldberge NF. Female physicians: trends and likely impacts on healthcare in Israel. Israel Journal of Health Policy Research. 2013;2:37.CrossRef
8.
go back to reference Oman, Mohamed, et al. The trend of feminization of doctors’ workforce in Oman: is it a phenomenon that could rouse the health system? Human Resources for Health. 2018;16(19):1–11. Oman, Mohamed, et al. The trend of feminization of doctors’ workforce in Oman: is it a phenomenon that could rouse the health system? Human Resources for Health. 2018;16(19):1–11.
10.
go back to reference Le TAN. PhD; Anthony T. Lo Sasso, PhD; Marko Vujicic, PhD. Trends in the earnings gender gap among dentists, physicians, and lawyers. JADA. 2017;148(4):257–62. Le TAN. PhD; Anthony T. Lo Sasso, PhD; Marko Vujicic, PhD. Trends in the earnings gender gap among dentists, physicians, and lawyers. JADA. 2017;148(4):257–62.
11.
go back to reference Gupta N, Diallo K, Zurn P, Dal Poz M. Assessing human resources for health: what can be learned from labour force surveys? Human Resources for Health, vol. 1; 2003. p. 5. Gupta N, Diallo K, Zurn P, Dal Poz M. Assessing human resources for health: what can be learned from labour force surveys? Human Resources for Health, vol. 1; 2003. p. 5.
12.
go back to reference World Health Organization. Gender and health workforce statistics. Geneva: Human Resources for Health; 2008. World Health Organization. Gender and health workforce statistics. Geneva: Human Resources for Health; 2008.
13.
go back to reference George A. Human resources for health: a gender analysis. Geneva; 2007. George A. Human resources for health: a gender analysis. Geneva; 2007.
14.
go back to reference Ramakrishnan A, Sambuco D, Jagsi R. Women’s participation in the medical profession: insights from experiences in Japan, Scandinavia, Russia, and Eastern Europe. J Womens Health. 2014;23(11):927–34.CrossRef Ramakrishnan A, Sambuco D, Jagsi R. Women’s participation in the medical profession: insights from experiences in Japan, Scandinavia, Russia, and Eastern Europe. J Womens Health. 2014;23(11):927–34.CrossRef
15.
go back to reference Limb M. World will lack 18 million health workers by 2030 without adequate investment, warns UN. BMJ. 2016;354:i5169.CrossRef Limb M. World will lack 18 million health workers by 2030 without adequate investment, warns UN. BMJ. 2016;354:i5169.CrossRef
16.
go back to reference McCoy D, Bennett S, Witter S, Pond B, Baker B, Gow J, et al. Salaries and incomes of health workers in sub-Saharan Africa. Lancet. 2008;371:675–81.CrossRef McCoy D, Bennett S, Witter S, Pond B, Baker B, Gow J, et al. Salaries and incomes of health workers in sub-Saharan Africa. Lancet. 2008;371:675–81.CrossRef
17.
go back to reference Lauer J, Soucat A, Araújo E, Bertram M, Edejer T, Brindley C, et al. In: Buchan J, Dhillon I, Campbell J, editors. Health Employment and Economic Growth: An Evidence Base Paying for needed health workers for the SDGs: an analysis of fiscal and financial space. Geneva: World Health Organization; 2017. p. 213–40. Lauer J, Soucat A, Araújo E, Bertram M, Edejer T, Brindley C, et al. In: Buchan J, Dhillon I, Campbell J, editors. Health Employment and Economic Growth: An Evidence Base Paying for needed health workers for the SDGs: an analysis of fiscal and financial space. Geneva: World Health Organization; 2017. p. 213–40.
18.
go back to reference Jagsi R, Griffith KA, Stewart A, Sambuco D, DeCastro R, Ubel PA. Gender differences in the salaries of physician researchers. JAMA. 2012;307(22):2410–7.CrossRef Jagsi R, Griffith KA, Stewart A, Sambuco D, DeCastro R, Ubel PA. Gender differences in the salaries of physician researchers. JAMA. 2012;307(22):2410–7.CrossRef
19.
go back to reference LoSasso AT, Richards MR, Chou C-F, Gerber SE. The $16,819 pay gap for newly trained physicians: the unexplained trend of men earning more than women. Health Aff (Millwood). 2011;30(2):193–201.CrossRef LoSasso AT, Richards MR, Chou C-F, Gerber SE. The $16,819 pay gap for newly trained physicians: the unexplained trend of men earning more than women. Health Aff (Millwood). 2011;30(2):193–201.CrossRef
20.
go back to reference Muench U, Sindelar J, Busch SH, Buerhaus PI. Salary differences between male and female registered nurses in the United States. JAMA. 2015 Mar 24-31; 313(12):1265-1267. PMID: 25803350. Muench U, Sindelar J, Busch SH, Buerhaus PI. Salary differences between male and female registered nurses in the United States. JAMA. 2015 Mar 24-31; 313(12):1265-1267. PMID: 25803350.
21.
go back to reference Muench U, Dietrich H. The male-female earnings gap for nurses in Germany: a pooled cross-sectional study of the years 2006 and 2012. Int J Nurs Stud. 2017; Jul 14. PMID: 28716298. Muench U, Dietrich H. The male-female earnings gap for nurses in Germany: a pooled cross-sectional study of the years 2006 and 2012. Int J Nurs Stud. 2017; Jul 14. PMID: 28716298.
22.
go back to reference Tijdens K, de Vries D, Steinmetz S. Health workforce remuneration: comparing wage levels, ranking, and dispersion of 16 occupational groups in 20 countries. Human Resources for Health. 2013;11(11). Tijdens K, de Vries D, Steinmetz S. Health workforce remuneration: comparing wage levels, ranking, and dispersion of 16 occupational groups in 20 countries. Human Resources for Health. 2013;11(11).
23.
go back to reference Magar V, Gereke M, Dhillon I, Campbell J. Women’s contribution to sustainable development through work in health: using a gender lens to advance a transformative 2030 agenda. Policy Brief. 2016; WHO, Geneva. Magar V, Gereke M, Dhillon I, Campbell J. Women’s contribution to sustainable development through work in health: using a gender lens to advance a transformative 2030 agenda. Policy Brief. 2016; WHO, Geneva.
24.
go back to reference Global Health 5050. Global Health 5050 Report. 2018. Global Health 5050, London. Global Health 5050. Global Health 5050 Report. 2018. Global Health 5050, London.
25.
go back to reference Sen G, Östlin P. Gender inequity in health: why it exists and how we can change it. Glob Public Health. 2008;3(Suppl 1):1–12.CrossRef Sen G, Östlin P. Gender inequity in health: why it exists and how we can change it. Glob Public Health. 2008;3(Suppl 1):1–12.CrossRef
26.
go back to reference Springer K, et al. Beyond a catalogue of differences: a theoretical frame and good practice guidelines for researching sex/gender in human health. Social Science and Medicine. 2012;74(11):1817–24.CrossRef Springer K, et al. Beyond a catalogue of differences: a theoretical frame and good practice guidelines for researching sex/gender in human health. Social Science and Medicine. 2012;74(11):1817–24.CrossRef
27.
go back to reference Rosemary Morgan, Asha George, Sarah Ssali, Kate Hawkins, Sassy Molyneux, Sally Theobald; How to do (or not to do)… gender analysis in health systems research, Health Policy and Planning. 2016;31(8):1069–78. Rosemary Morgan, Asha George, Sarah Ssali, Kate Hawkins, Sassy Molyneux, Sally Theobald; How to do (or not to do)… gender analysis in health systems research, Health Policy and Planning. 2016;31(8):1069–78.
28.
go back to reference Sheikh K, George A, Gilson L. People-centred science: strengthening the practice of health policy and systems research. Health Research Policy and Systems. 2014;12:19.CrossRef Sheikh K, George A, Gilson L. People-centred science: strengthening the practice of health policy and systems research. Health Research Policy and Systems. 2014;12:19.CrossRef
30.
go back to reference Hunt J. Introduction to gender analysis concepts and steps. Development Bulletin. 2004;64:100–6. Hunt J. Introduction to gender analysis concepts and steps. Development Bulletin. 2004;64:100–6.
31.
go back to reference ILO. The gender division of labour. 2008. GLOPP/ILO, Geneva. ILO. The gender division of labour. 2008. GLOPP/ILO, Geneva.
32.
go back to reference Adams T. Gender and feminisation in health care professions. Sociology Compass. 4(7):454–65. Adams T. Gender and feminisation in health care professions. Sociology Compass. 4(7):454–65.
33.
go back to reference Himmelweit S. The prospects for caring: economic theory and policy analysis. Cambridge Journal of Economics. 2007;31:581–99.CrossRef Himmelweit S. The prospects for caring: economic theory and policy analysis. Cambridge Journal of Economics. 2007;31:581–99.CrossRef
34.
go back to reference Jefferson L, Bloor K, Maynard A. Women in medicine: historical perspectives and recent trends. British Medical Bulletin. 2015;114(1):5–15.CrossRef Jefferson L, Bloor K, Maynard A. Women in medicine: historical perspectives and recent trends. British Medical Bulletin. 2015;114(1):5–15.CrossRef
35.
go back to reference Standing H. Gender – a missing dimension in human resource policy and planning for health reforms. Human Resource Devel Journal. 2000. Standing H. Gender – a missing dimension in human resource policy and planning for health reforms. Human Resource Devel Journal. 2000.
36.
go back to reference Elson D. Gender at the Macroeconomic Level. In: Cook J, Roberts J, Waylen G, editors. Towards a Gendered Political Economy. London: Palgrave Macmillan; 2000. Elson D. Gender at the Macroeconomic Level. In: Cook J, Roberts J, Waylen G, editors. Towards a Gendered Political Economy. London: Palgrave Macmillan; 2000.
37.
go back to reference Etzioni, Amitai,ed. The semi-professions and their organization: teachers, nurses and social workers. New York: The Free Press; 1969. Etzioni, Amitai,ed. The semi-professions and their organization: teachers, nurses and social workers. New York: The Free Press; 1969.
40.
go back to reference Couper M. Web surveys: a review of issues and approaches. Publ Opin Q. 2000;64:464–81.CrossRef Couper M. Web surveys: a review of issues and approaches. Publ Opin Q. 2000;64:464–81.CrossRef
41.
go back to reference Steinmetz STK. Can weighting improve the representativeness of volunteer online panels? Insights form the German WageIndicator data. Concepts Meth. 2009;5:7–11. Steinmetz STK. Can weighting improve the representativeness of volunteer online panels? Insights form the German WageIndicator data. Concepts Meth. 2009;5:7–11.
44.
go back to reference WHO. Classifying health workers: Mapping occupations to the international standard classification. Geneva; 2018. WHO. Classifying health workers: Mapping occupations to the international standard classification. Geneva; 2018.
45.
go back to reference Steinmetz S, Tijdens K, Raess D, De Pedraza P. Measuring wages worldwide – exploring the potentials and constraints of volunteer web surveys. In: Sappleton N, editor. Advancing Research Methods with New Technologies. Hershey, PA.: IGI Global. 78-97; 2013. p. 78–97. Steinmetz S, Tijdens K, Raess D, De Pedraza P. Measuring wages worldwide – exploring the potentials and constraints of volunteer web surveys. In: Sappleton N, editor. Advancing Research Methods with New Technologies. Hershey, PA.: IGI Global. 78-97; 2013. p. 78–97.
46.
go back to reference Magar V, Gerecke M, Dhillon I, Campbell J. In: Buchan JDICJ, editor. Health employment and economic growth: an evidence base Women’s contributions to sustainable development through work in health: using a gender lens to advance a transformative 2030 agenda. Geneva. Geneva: World Health Organization; 2017. p. 27–50. Magar V, Gerecke M, Dhillon I, Campbell J. In: Buchan JDICJ, editor. Health employment and economic growth: an evidence base Women’s contributions to sustainable development through work in health: using a gender lens to advance a transformative 2030 agenda. Geneva. Geneva: World Health Organization; 2017. p. 27–50.
49.
go back to reference George A, Paina L, Scott K, Abimbola S. Social contexts and relations shaping health workers. In: a health policy and systems research reader on human resources for health. Geneva: WHO; 2017. George A, Paina L, Scott K, Abimbola S. Social contexts and relations shaping health workers. In: a health policy and systems research reader on human resources for health. Geneva: WHO; 2017.
50.
go back to reference Buchan J, Dhillon I, Campbell J. Health employment and economic growth: an evidence base Geneva: World Health Organization; 2017. Buchan J, Dhillon I, Campbell J. Health employment and economic growth: an evidence base Geneva: World Health Organization; 2017.
51.
go back to reference World Health Organization. Women Deliver, Men lead: a gender and equity analysis of the global health and social workforce. Human Resources for Health Observer Series No. 24. Geneva: WHO; 2019. World Health Organization. Women Deliver, Men lead: a gender and equity analysis of the global health and social workforce. Human Resources for Health Observer Series No. 24. Geneva: WHO; 2019.
52.
go back to reference High-Level Commission on Health Employment and Economic Growth. Working for health and growth: investing in the health workforce. Geneva; 2016. High-Level Commission on Health Employment and Economic Growth. Working for health and growth: investing in the health workforce. Geneva; 2016.
53.
go back to reference OECD. Health at a Glance 2017: OECD Indicators. Paris; 2017. OECD. Health at a Glance 2017: OECD Indicators. Paris; 2017.
54.
go back to reference Goldsbrough D. Does the IMF constrain health spending in poor countries? Evidence and an agenda for action. Washington DC; 2007. Goldsbrough D. Does the IMF constrain health spending in poor countries? Evidence and an agenda for action. Washington DC; 2007.
55.
go back to reference Elson D. Gender equality and economic growth in a World Bank World Development Report. Feminist Economics. 2009;15(3):35–59.CrossRef Elson D. Gender equality and economic growth in a World Bank World Development Report. Feminist Economics. 2009;15(3):35–59.CrossRef
56.
go back to reference Phillips A. Defending equality of outcome. Journal of Political Philosophy. 2004;21(1):s p. 1-19. Phillips A. Defending equality of outcome. Journal of Political Philosophy. 2004;21(1):s p. 1-19.
57.
go back to reference Berik G, Rodgers Y, Seguino S. Feminist economics of inequality, development, and growth. Feminist Economics. 2009;15(3):1–33.CrossRef Berik G, Rodgers Y, Seguino S. Feminist economics of inequality, development, and growth. Feminist Economics. 2009;15(3):1–33.CrossRef
58.
go back to reference Budlender D. Compensation for contributions: report on interviews with volunteer care-givers in six countries. New York; 2009. Budlender D. Compensation for contributions: report on interviews with volunteer care-givers in six countries. New York; 2009.
59.
go back to reference Hegewisch A, Hartmann H. Occupational segregation and the gender wage gap: a job half done. Washington, DC: Institute for Women’s Policy Research; 2014. Hegewisch A, Hartmann H. Occupational segregation and the gender wage gap: a job half done. Washington, DC: Institute for Women’s Policy Research; 2014.
60.
go back to reference ILO. Earnings and labour cost. Geneva: ILO; 2011. ILO. Earnings and labour cost. Geneva: ILO; 2011.
61.
go back to reference WHO Health Workforce Department. Personal correspondence. 2018. WHO Health Workforce Department. Personal correspondence. 2018.
62.
go back to reference McKinsey Global Institute. The power of parity: how advancing women’s equality can add $12 trillion to global growth. New York: McKinsey & Company; 2015. McKinsey Global Institute. The power of parity: how advancing women’s equality can add $12 trillion to global growth. New York: McKinsey & Company; 2015.
63.
go back to reference Elborgh-Woytek K, Newiak M, Kochhar K, Fabrizio S, Kpodar K, Wingender P, et al. Women, work, and the economy: macroeconomic gains from gender equity. Washington, D.C.; 2013. Elborgh-Woytek K, Newiak M, Kochhar K, Fabrizio S, Kpodar K, Wingender P, et al. Women, work, and the economy: macroeconomic gains from gender equity. Washington, D.C.; 2013.
Metadata
Title
Feminisation of the health workforce and wage conditions of health professions: an exploratory analysis
Authors
Geordan Shannon
Nicole Minckas
Des Tan
Hassan Haghparast-Bidgoli
Neha Batura
Jenevieve Mannell
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Human Resources for Health / Issue 1/2019
Electronic ISSN: 1478-4491
DOI
https://doi.org/10.1186/s12960-019-0406-0

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