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Time to address gender discrimination and inequality in the health workforce


Gender is a key factor operating in the health workforce. Recent research evidence points to systemic gender discrimination and inequalities in health pre-service and in-service education and employment systems. Human resources for health (HRH) leaders’ and researchers’ lack of concerted attention to these inequalities is striking, given the recognition of other forms of discrimination in international labour rights and employment law discourse. If not acted upon, gender discrimination and inequalities result in systems inefficiencies that impede the development of the robust workforces needed to respond to today’s critical health care needs.

This commentary makes the case that there is a clear need for sex- and age-disaggregated and qualitative data to more precisely illuminate gender-related trends and dynamics in the health workforce. Because of their importance for measurement, the paper also presents definitions and examples of sex or gender discrimination and offers specific case examples.

At a broader level, the commentary argues that gender equality should be an HRH research, leadership, and governance priority, where the aim is to strengthen health pre-service and continuing professional education and employment systems to achieve better health systems outcomes, including better health coverage. Good HRH leadership, governance, and management involve recognizing the diversity of health workforces, acknowledging gender constraints and opportunities, eliminating gender discrimination and equalizing opportunity, making health systems responsive to life course events, and protecting health workers’ labour rights at all levels. A number of global, national and institution-level actions are proposed to move the gender equality and HRH agendas forward.

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HRH experts have noted that health workforce gender imbalances are a major challenge for health policy-makers [1]. They have also observed that improving gender equity is essential to strengthen workforce numbers, distribution, and skill mix and that HR policy and planning failures are traceable to HRH leaders’ failure to account for gender [2]. Global dialogue on the post-2015 agenda currently focuses on gender equality as a development goal in its own right [3, 4], and this should be central to dialogue and debate related to health workforce shortages.

In this commentary, a case is presented for paying more attention to gender discrimination and inequality as they operate in the health workforce. In addition to reviewing gender in the HRH literature and describing the ways that gender has been framed, the commentary considers ways to define and think about gender inequality and discrimination in the workforce. It presents research evidence from Kenya, Uganda, and elsewhere to illustrate unequal opportunity and workplace gender discrimination, and suggests actions to move the gender equality and HRH agendas forward.

Key concepts

Gender inequalities are systems inefficiencies that contribute to clogged health worker educational pipelines, recruitment bottlenecks, attrition, and worker maldistribution in formal and non-formal health workforces. Fostering gender equality increases the likelihood of women and men having an equal chance of choosing a health occupation, acquiring requisite skills and knowledge, being hired and fairly paid, and enjoying equal treatment and advancement opportunities. Promoting nondiscrimination and gender equality in policy and planning can, for example, target gender stereotypes that may keep men from entering female-identified jobs such as nursing and HIV/AIDS care and support [5]. Equality-focused policies can also recognize that female health workers juggle life cycle events such as childbirth and caregiving with career progression and promote measures to empower women to enter and remain in the health labour market.

Gender has been implicated in a wide variety of health workforce considerations. These include, for example:

  •  Workforce structures and concentration hierarchies [1, 6, 7]

  •  Client-provider interactions [8]

  •  The female composition of the workforce [9], particularly at the primary level

  •  The experiences of female nurses, community health workers, and home carers, including the unpaid, underpaid, unsupported, and disproportionately female workforces that often constitute the informal care economy [2, 10]

  •  The ways in which (especially) female workers’ normal life experiences (for example, pregnancy, child care) become problematized due to their incompatibility with male work models that do not take life course events into account [11, 12]

  •  Access to non-pecuniary rewards [13], continuing education, and professional training [14]

  •  Differences in wages [15, 16]

  •  Disparities in workplace safety knowledge [17]

  •  Blindness of occupational health research [18]

  •  Health worker mobility [19]

  •  Perceptions of health and quality of life among health workers [20].

HRH experts describe gender inequality in multifaceted ways as it operates in and through the health workforce, encompassing constructs such as gender equity, equality, differentials, gaps, imbalance, parity, bias, skewness, and discrimination. There appears to be no unified, holistic conceptual understanding to frame significant gender inequalities as they operate in the health workforce and examine possible workforce and health systems consequences.

Gender discrimination

Discrimination is a particularly important aspect of gender in the workforce [11, 12, 21, 22]. Table 1 defines discrimination (as well as equal opportunity and nondiscrimination) and provides key related definitions for this section and the rest of the paper.

Table 1 Key definitions

The empirical study of discrimination is challenging, due to differing perceptions, measurement approaches, and unwillingness to publicly acknowledge or report it [2931]. Also, workers who might be willing to report discrimination may simply not have access to information substantiating it. The term ‘gender bias’ sometimes appears in HRH-related reviews instead of discrimination [7, 13, 18], and it is not clear if the term includes discrimination. Discrimination remains implicit in some research findings. For example, a recent study in Tanzania [32] refers to gender skewness, though a closer reading reveals that part of the skewness consists of occupational segregation, an enduring form of workforce inequality and discrimination [33, 34]. A recent study on gender and wages [16] found that ‘An increase in the percentage of women in an occupation has a large downward effect on its wage rank’ (p. 1), with one additional percentage point of women in an occupation being associated with a decrease in the wage rank of 8% in standardized USD (p. 13). Although the authors do not explicitly address the link between the discrimination that is occupational segregation [33] and a gender wage gap, they conclude that ‘This result is in line with devaluation theory arguing that “female” tasks and skills are devaluated in the labour market’ ([16], p. 13). This echoes Marini’s 25-year-old finding that the more an occupation is female-identified, the lower are the wages for that occupation [35]. However, the more recent study cited here [16] is a milestone for the field, and future HRH research should continue to connect the evidentiary dots between occupational composition, segregation, and the gender wage gap. (This link is supported by other research, which frames it as discrimination [36]).

Gender and HRH experts have argued for more research and sex-disaggregated data to strengthen understanding of gender as it affects health workers, especially in developing countries [2, 7, 13, 21]. The lack of high-quality data may be a reason for limited attention to gender discrimination on the part of HRH stakeholders [13]. Indeed, an important 24-country study [37], which included health policy-makers, researchers, and community and civil society representatives, demonstrated that current HRH research priorities do not explicitly include gender. This suggests that HRH leaders do not have enough information about the diversity of health workforces, the different life and work opportunities and constraints faced by health workers, the ways that some may be disadvantaged by these, the way that men and women are concentrated (that is, segregated) in particular health occupations [38] and at different hierarchical levels, and the consequences these factors may have for recruitment, productivity, and retention. In fact, the lack of concerted attention to gender discrimination in HRH research, policy, and practice is striking, given its recognition in other sectors such as employment-related jurisprudence and the protection of human (labour) rights [3944]. This further suggests that HRH leaders do not frame inequalities between health workers in terms of human rights, and that the protections from discrimination in education, occupation, and employment offered through international or national policies and laws are not routinely extended to health workers.

Given the lack of specificity of terms, it is quite possible that HRH inattention to gender discrimination is due to a lack of clarity and consensus about what it is and how it manifests itself in the health workforce. If so, it is useful to begin with concrete ways in which to think about it. While not all things gender in the workforce are discrimination, some are, and for those, HRH leaders need common ways to define, frame, measure, recognize, discuss, and act on it. Table 2 presents common forms and types of workforce gender discrimination.

Table 2 Forms and types of sex or gender discrimination

Key points from Table 2 are that gender discrimination can be direct or indirect, overt or covert, and associated with disparate and negative consequences for the person who experiences it. Further, women may experience multiple forms of discrimination in the workforce based on their biological sex and gender identity. Table 3 lists the negative effects of gender discrimination and inequality and the positive effects of equal opportunity and gender equality.

Table 3 Negative effects of gender discrimination and inequality and positive effects of equal opportunity and gender equality

The next section presents evidence of gender discrimination and inequality in health pre-service and employment systems, respectively.

Gender discrimination and inequality: selected evidence

Pre-service systems

A 2012 systematic literature review [45] of gender in health pre-service education and general tertiary systems in several countries identified 51 interventions to counter disadvantage stemming from pregnancy and family responsibilities and sexual harassment, as well as interventions promoting gender equality generally. The review recommended implementing a multilevel ‘basic bundle’ of interventions to target the roots of discrimination and violence, eliminate impunity for sexual harassment, and transform school and work arrangements so women are not disadvantaged by pregnancy and family caregiving.

Employment systems

A national-level multimethod study of Rwanda’s health employment system [11] (which resulted in revisions in national labour law) used focus groups, written surveys using random sampling, key informant interviews, and document reviews to identify factors affecting health workers’ experiences, work expectations, and career paths. Findings included evidence of negative stereotypes of female workers, sexual harassment, lack of support to mothers in workplaces, pregnancy-based and caregiver discrimination, and vertical segregation (the concentration of men in topmost management). These factors contributed to workplace violence.

Small-scale multimethod studies of gender discrimination and inequality in the public and private health employment systems in Zambia and Uganda (unpublished observations) found a lack of policy responsiveness to life course events for workers with family responsibilities, as well as evidence of sexual harassment, gender bias, and occupational gender segregation. The studies employed multiple focus group discussions over several geographical sites with separate group discussions involving male and female managers and health workers. These focus groups yielded evidence of pro-male bias and a ‘discriminatory animus’ [41] toward female managers, manifested in stereotypes of women’s emotionality, mood swings, tendency to make mistakes, lesser productivity, unreliability, disorganization, vengefulness, lesser mental agility, inability to handle power, weakness, indecisiveness, and incompetence. In the Rwanda study mentioned earlier [11], a study participant remarked, ‘Women are not even capable of pulling out a tooth’.

Together, the Rwanda, Uganda, and Zambia studies highlight the gender-related distinctions and restrictions associated with discrimination in employment systems. Indeed, they suggest a constellation of co-occurring biases or discriminatory actions requiring concerted HRH policy attention and management response. It is worth mentioning that the evidence from these three African countries is presented only because the countries had HRH projects supported by some research funding. This suggests that there is a vein of evidence ready to be mined in other countries and regions.

Supplementing special studies with human resources information system data

As we have just seen, qualitative data generated by multimethod special studies can reveal some of the gender dynamics in the health workforce. These data can be supplemented by sex- and age- disaggregated administrative and human resources information systems (HRIS) data to explore gender trends in the workforce. Illustrative examples from Kenya and Uganda follow.


A 2010 study of training institutions using a stratified random sample used focus group and sex-disaggregated administrative data to explore gender-related barriers in health pre-service education [12]. Analysis of the administrative data found distinct differences in the concentrations of female and male students in different occupational cadres. In Figure 1, some occupations - such as nursing, nutrition, community health work (CHW), and community health extension work (CHEW) - appear to be ‘female jobs’ whereas pharmacy appears to be a ‘male job’. Figure 2 highlights heavier concentrations of men in five of eight faculty categories in nursing-only educational institutions. Later, gender reports were generated from national HRIS data to explore the gender concentration within the medical cadre (Figure 3). All these results indicate different dimensions of horizontal gender segregation.

Figure 1
figure 1

Percentage of students by cadre training programme and sex , Kenya 2010 (N  = 42 institutions) .

Figure 2
figure 2

Number of faculty by position and sex in 21 nursing- only education institutions, Kenya 2010.

Figure 3
figure 3

Percentage of men and women in the medical practitioner cadre , Kenya 2011.

A noted labour economist observed that occupational segregation points to discrimination and limited opportunities because ‘When large segments of the labour force are in essence restricted from entering many occupations, freedom of choice is missing’ [33]. The Kenya findings suggest a lack of freedom of choice for education and employment that is associated with occupational segregation. In response, the Kenyan Ministry of Health integrated HRIS gender reports in a training module in 2013 to raise awareness of gender inequality in human resources management (HRM).


Researchers supplemented focus group, interview, and document review data collected in 12 programme sites with analyses of public sector position grade and salary data from these sites in the national HRIS. The position grade categories included: U1 (senior management); U2-U3 (middle management); U4-U5 (graduate and diploma levels); and U6-U8 (lower-level cadres). The HRIS gender reports revealed concentrations of male and female health workers by pay scale level (as in Figure 4, which shows vertical segregation and less female representation at the higher position levels aggregately from 12 sites). Figure 5, Figure 6, and Figure 7 illustrate a similar higher concentration of male workers in the senior management positions (U1-U2) in three referral hospitals. These figures show an important multi-site trend in referral hospitals illustrating a systemic problem. The value of the pay grade data in Figures 4, 5, 6, and 7 is that they clearly show the link between vertical gender segregation and gender wage gaps.

Figure 4
figure 4

Percentage of men and women by pay grade, public health sector in 12 sites, Uganda 2012 (N =  6,450) .

Figure 5
figure 5

Percentage of men and women by pay grade, Mulago National Referral Hospital, Uganda 2012 (N =  2,186) .

Figure 6
figure 6

Percentage of women and men by pay grade, Mubende Referral Hospital, Uganda 2012 ( N =  183) .

Figure 7
figure 7

Percentage of men and women by pay grade, Moroto Regional Referral Hospital, Uganda 2012 ( N =  161) .

It should be noted that the Uganda findings come from health facilities in project districts purposively selected to capture a range of health workplace characteristics (for example, urban/rural, types and levels of facilities, nearness/distance from the capital). They cannot, therefore, be called representative. What is interesting, however, is that these public health sector results generally mirror the patterns of vertical occupational segregation found in Uganda’s larger civil service sector [46], where men predominate in senior and middle management (U1 and U2-U3, presumably the higher-paying jobs). Based on the study, the Uganda Ministry of Health has begun disseminating results and guidelines for gender mainstreaming into human resources management at decentralized levels to raise awareness of these issues with district health managers.

Lessons learned and implications for action

What underlies the gender-related inequalities in position, freedom of choice, and opportunity in the health workforce? To what extent do these inequalities reflect discrimination and contribute to problems in health workforce recruitment, distribution, and retention? Although the answers to these questions are in the early stages, it is clear that HRH leaders must consider gender discrimination and inequality as part of their health systems governance functions.

HRH leaders can draw a number of lessons from the research evidence from systematic [45] and country-level studies. First, taken together, the evidence suggests that gender is indeed a key factor in the health workforce, operating in the professional education and employment systems in which health workers are recruited, trained, hired, remunerated, promoted, and retained - or lost. Second, there is evidence of a constellation of gender discrimination effects that are systemic, that is, not limited to one site in a system or one system. Third, the types of workplace discrimination documented in other sectors appear to be at work in the health sector. Fourth, the existing evidence warrants making gender inequality and gender discrimination an HRH research, policy, and management priority. Fifth, HRH leaders and managers should exploit data from multiple sources and perspectives to more fully understand gender dynamics and trends in the health workforce.

As Table 4 indicates, there is a need for a unified conceptual framework for gender inequality and discrimination in the health workforce and routine information to increase understanding of prevalent types, forms, and health systems consequences. Future HRH research should systematically explore the extent of occupational segregation and the gender wage gap, along with other forms of discrimination, perceptions of equal opportunity, and prevailing stereotypes of men and women in the health workforce in relation to recruitment, job assignment, promotion, geographical distribution, and retention. As mentioned earlier, discrimination can be difficult to measure due to differing perceptions, measurement approaches, unwillingness to publicly acknowledge or report it, and lack of information substantiating it. This suggests that research should routinely employ mixed qualitative and quantitative methods to address discrimination from several angles and better triangulate data. Where focus group discussions are used, the group composition should facilitate open and frank discussion (for example, members should be homogeneous for characteristics such as sex and hierarchical rung). Where survey methods are used, large-scale random sampling would enable HRH decision-makers to begin to grasp the extent and magnitude of the gender discrimination and inequality operating in their health workforces.

Table 4 Implications for action

Finally, while we need more systematic and rigorous evidence and better-developed understandings, HRH leaders and managers can now strive for greater clarity. For example, the Third Global HRH Forum’s Political Declaration on Human Resources for Health states that ‘gender imbalances’ remain a matter of major concern [48], but it is not clear what ‘imbalances’ means. However, when the Declaration commits to ‘promote equal opportunities in education, development, management and career advancement for all health workers, with no form of discrimination based on gender, race, ethnicity or any other basis’ - we are witnessing a clear HRH governance milestone. One hopes that a Fourth Global Forum will not only commit to ending gender discrimination but to actively promoting gender equality in the workforce through improved global HRH governance (see Table 4).

Good HRH governance starts with the recognition that the health workforce is diverse and acknowledges the fact that diversity often entails gendered disadvantage in accessing opportunities for education and occupation. It requires a comprehensive human rights-based approach that puts women at the center of efforts to hold governments and employers accountable for implementing international and national standards that guarantee women’s civil, social, political, and labour rights [49]. In the health sector, this means bringing international human/labour rights and employment law discourse into HRH discourse, changing discriminatory laws and policies, and developing HRH policies that promote and protect the rights of the health workforce which, in many countries, may be over 75% female [9]. Changing workforce governance at all levels is necessary because gender inequality and discrimination are human rights issues with practical workforce consequences (see Table 4). These practical consequences will be difficult to manage effectively if HRH practitioners continue to see action as a purely technical fix. However, to the extent that they more accurately identify the issues, apply a human rights perspective, draw lessons from employment law in other sectors, and broaden the range of HRH solutions available, there is good reason to expect that these steps will improve the pipeline, recruitment, distribution, and retention of health workers.


Gender equality should be an HRH research, leadership, and governance priority. As a priority, the aim should be to strengthen health pre-service and continuing professional education and employment systems to achieve better health systems outcomes, including better health coverage. There are a number of specific actions that can be carried out at the global, country, and institution levels to address gender discrimination and inequality in the health workforce (Table 4), some of which have already been described. Implementing any of the suggested actions will likely move us closer to the robust health workforces needed to respond to today’s critical health care needs.



community health extension work


community health work


human resource


human resources for health


human resources information system


human resources management


nongovernmental organizations


United States dollars.


  1. Zurn P, Dal Poz MR, Stilwell B, Adams A: Imbalance in the health workforce. Hum Resour Health. 2004, 2: 13-10.1186/1478-4491-2-13.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Reichenbach L: (Ed): Exploring the Gender Dimensions of the Global Health Workforce. 2007, Cambridge: Global Equity Initiative, Harvard University

    Google Scholar 

  3. John H, Devex Editor: In post-MDG debate, gender equality must go mainstream. 2012, Washington, DC: Devex, [accessed 6 March 2013]

    Google Scholar 

  4. UN Women Policy Division: A Transformative Stand-alone Goal on Achieving Gender Equality, Women’s Rights and Women’s Empowerment: Imperatives and Key Components. 2013, New York: UN Women,,

    Google Scholar 

  5. Newman C, Fogarty L, Makoae NL, Reavely E: Occupational segregation, gender essentialism and male primacy as major barriers to equity in HIV/AIDS caregiving: findings from Lesotho. Int J Equity Health. 2011, 10: 24-10.1186/1475-9276-10-24.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Risberg G, Hamberg K, Johansson EE: Gender perspective in medicine: a vital part of medical scientific rationality. A useful model for comprehending structures and hierarchies within medical science. BMC Med. 2006, 4: 20-10.1186/1741-7015-4-20.

    Article  PubMed  PubMed Central  Google Scholar 

  7. George A: Human resources for health: a gender analysis. 2007, Kochi, India: Background paper prepared for the Women and Gender Equity Knowledge Network and the Health Systems Knowledge Network of the WHO Commission on Social Determinants of Health

    Google Scholar 

  8. Govender V, Penn-Kekana L: Gender biases and discrimination: a review of health care interpersonal interactions. Glob Public Health. 2008, 3 (Suppl 1): 90-103.

    Article  PubMed  Google Scholar 

  9. World Health Organization: Gender and health workforce statistics. 2008, Spotlight on Statistics: A Fact File on Health Workforce Statistics, Issue 2

    Google Scholar 

  10. George A: Nurses, community health workers, and home carers: gendered human resources compensating for skewed health systems. Glob Public Health. 2008, 3 (Suppl 1): 75-89.

    Article  PubMed  Google Scholar 

  11. Newman CJ, De Vries DH, Kanakuze JA, Ngendahimana G: Workplace violence and gender discrimination in Rwanda’s health sector: increasing safety and gender equality. Hum Resour Health. 2011, 9: 19-10.1186/1478-4491-9-19.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Newman C, Kimeu A, Shamblin L, Penders C, McQuide PA, Bwonya J: Making non-discrimination and equal opportunity a reality in Kenya’s health provider education system: results of a gender analysis. World Health Popul. 2011, 13: 23-33.

    Article  PubMed  Google Scholar 

  13. Gupta N, Alfano M: Access to non-pecuniary benefits: does gender matter? Evidence from six low- and middle-income countries. Hum Resour Health. 2011, 9: 25-10.1186/1478-4491-9-25.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Churnrurtai K, Wibulpolprasert S, Thammarangsi T: Gender and physician mobility in Thailand. Exploring the Gender Dimensions of the Global Health Workforce. Edited by: Reichenbach L. 2007, Cambridge: Global Equity Initiative, Harvard University, 153-183.

    Google Scholar 

  15. Vecchio N, Scuffham PA, Hilton MF, Whiteford HA: Differences in wage rates for males and females in the health sector: a consideration of unpaid overtime to decompose the gender wage gap. Hum Resour Health. 2013, 11: 9-10.1186/1478-4491-11-9.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Tijdens K, De Vries DH, Steinmetz S: Health workforce remuneration: comparing wage levels, ranking, and dispersion of 16 occupational groups in 20 countries. Hum Resour Health. 2013, 11: 11-10.1186/1478-4491-11-11.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Deussom R, Jaskiewicz W, Adams E, Tulenko K: Ensuring a positive practice environment: occupational safety and health for health worker productivity. Technical Brief Number 4. 2012, Washington, DC: CapacityPlus/IntraHealth International,,

    Google Scholar 

  18. Messing K, Östlin P: Gender equality, work and health: a review of the evidence. 2002, Geneva: World Health Organization

    Google Scholar 

  19. Mumtaz Z: Gender and social geography: impact on lady health workers mobility in Pakistan. BMC Health Serv Res. 2012, 12: 360-10.1186/1472-6963-12-360.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Kheiraoui F, Gualano MR, Mannocci A, Boccia A, La Torre G: Quality of life among healthcare workers: a multicentre cross-sectional study in Italy. Public Health. 2012, 126: 624-629. 10.1016/j.puhe.2012.03.006.

    Article  CAS  PubMed  Google Scholar 

  21. Standing H, Baume E: Equity, equal opportunities, gender and organization performance. 2001, Brighton: Health and Social Change Programme, Institute of Development Studies, University of Sussex, [accessed 6 March 2013]

    Google Scholar 

  22. Channar ZA, Abbassi Z, Ujan IA: Gender discrimination in workforce and its impact on the employees. Pak J Commer Soc Sci. 2011, 5: 177-191.

    Google Scholar 

  23. World Health Organization: Transforming Health Systems: Gender and Rights in Reproductive Health. A Training Manual for Health Managers. 2001, Geneva: World Health Organization, Department of Reproductive Health and Research

    Google Scholar 

  24. International Labour Organization: Q & As on Business, Discrimination and Equality.,

  25. Oxford Dictionary of English, 2nd ed. s.v. ‘Bias’. Edited by: Pearsall J, Hanks P. 2009, New York: Oxford University Press

    Google Scholar 

  26. World English Dictionary. s.v. ‘Equal opportunity’. [accessed 12 October 2013

  27. Williams JC: Deconstructing gender. Michigan Law Review. 1989, 87: 797-845. 10.2307/1289293.

    Article  Google Scholar 

  28. Bender L: Sex discrimination or gender inequality?. 57 Fordham L Rev. 1989, 941:,

    Google Scholar 

  29. Banas K: An investigation of the relationships between perceived age discrimination, personality and quality of life: validation and implementation of the Perceived Age Discrimination scale. 2007, Masters Thesis. University of Edinburgh, Psychology Department

    Google Scholar 

  30. Ruggiero KM, Taylor DM, Lydon JE: How disadvantaged group members cope with discrimination when they perceive that social support is available. J Appl Soc Psychol. 1997, 27: 1581-1600. 10.1111/j.1559-1816.1997.tb01614.x.

    Article  Google Scholar 

  31. Kaiser CR, Miller CT: Derogating the victim: the interpersonal consequences of blaming events on discrimination. Group Process Intergroup Relat. 2003, 6: 227-237. 10.1177/13684302030063001.

    Article  Google Scholar 

  32. Exavery A, Lutambi AM, Wilson N, Mubyazi GM, Pemba S, Mbaruku G: Gender-based distributional skewness of the United Republic of Tanzania’s health workforce cadres: a cross-sectional health facility survey. Hum Resour Health. 2013, 11: 28-10.1186/1478-4491-11-28.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Zeidenberg D: Interview with Richard Anker on occupational segregation, living wages, and international poverty lines. 2006,,

    Google Scholar 

  34. Gender Segregation and Social Change. Edited by: Scott AM. 1994, Oxford: Oxford University Press

    Google Scholar 

  35. Marini MM: Sex differences in earnings in the United States. Annu Rev Sociol. 1989, 15: 343-380. 10.1146/

    Article  Google Scholar 

  36. International Labour Office: Gender Equality at the Heart of Decent Work. 2009, Geneva: International Labour Conference, 98th Session, Report VI

    Google Scholar 

  37. Ranson MK, Chopra M, Atkins S, Dal Poz MR, Bennett S: Priorities for research into human resources for health in low- and middle-income countries. Bull World Health Organ. 2010, 88: 435-443. 10.2471/BLT.09.066290.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Charles M, Grusky DB: Occupational Ghettos: The Worldwide Segregation of Women and Men. 2004, Redwood City: Stanford University Press

    Google Scholar 

  39. International Labour Office: Equality at work: the continuing challenge. Report of the Director-General. Global Report Under the Follow-up to the ILO Declaration on Fundamental Principles and Rights at Work. 2011, Geneva: International Labour Conference, 100th Session, Report I(B)

    Google Scholar 

  40. Yang S, Li A: Legal protection against gender discrimination in the workplace in China. Gend Dev. 2009, 17: 295-308. 10.1080/13552070903009825.

    Article  Google Scholar 

  41. Gregory RF: Women and Workplace Discrimination: Overcoming Barriers to Gender Equality. 2003, New Brunswick: Rutgers University Press

    Google Scholar 

  42. WorkLife Law: Family responsibilities discrimination. UC Hastings College of the Law Fact Sheet. 2013,,

    Google Scholar 

  43. Gower Handbook of Discrimination at Work. Edited by: Wright T, Conley H. 2011, United Kingdom: Gower Publishing

    Google Scholar 

  44. Abrams K: Gender discrimination and the transformation of workplace norms. Vand L Rev. 1989, 42: 1183-

    Google Scholar 

  45. Newman C, Ng C, Pacqué-Margolis S: Technical Brief Number 7. Strengthening the health worker pipeline through gender-transformative strategies. 2012, Washington, DC: CapacityPlus/IntraHealth International

    Google Scholar 

  46. Ministry of Public Service (Kampala, Uganda): Circular Standing Instructions Number 2 of 2011: Guidelines for Gender Mainstreaming in Human Resource Management (section 3.3). 2011,, : Guidelines for Gender Mainstreaming in Human Resource Management (section 3.3),

    Google Scholar 

  47. International Labour Organization: Framework guidelines for addressing workplace violence in the health sector: the training manual. 2005, Geneva: International Labour Office,,

    Google Scholar 

  48. The Recife Political Declaration on Human Resources for Health: Renewed Commitments Towards Universal Health Coverage. Third Global Forum on Human Resources for Health,,

  49. United Nations General Assembly: Report of the Working Group on the Issue of Discrimination Against Women in Law and Practice. 2012, Human Rights Council, A/HRC/20/28. []

    Google Scholar 

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The author would like to thank the Ministries of Health and Social Welfare of Rwanda, Kenya, and Uganda for their support for examining gender trends in the health workforce. The author also acknowledges the contributions of Pamela Chama in Zambia and the work of research teams in Rwanda, Zambia, Lesotho, and Uganda (especially Maude Mugisha in Uganda); Capacity Project teams in Uganda and Kenya (especially Vincent Oketcho, Charles Matsiko, Grace Namaganda, Meshack Ndolo, Janet Muriuki, and Leigh Shamblin); Sara Pacqué-Margolis and Crystal Ng formerly of the CapacityPlus Project; and Dykki Settle at IntraHealth headquarters for technical leadership in the development of HRIS gender reporting. The author received no special funding for this article.

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Newman, C. Time to address gender discrimination and inequality in the health workforce. Hum Resour Health 12, 25 (2014).

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