| Literature DB >> 30779525 |
Cheryl A Moyer1, Nauzley C Abedini2, Jessica Youngblood3, Zohray Talib4, Tanvi Jayaraman5, Mehr Manzoor6, Heidi J Larson7, Patricia J Garcia8, Agnes Binagwaho9, Katherine S Burke10, Michele Barry11.
Abstract
BACKGROUND: Women comprise 75% of the health workforce in many countries and the majority of students in academic global health tracks but are underrepresented in global health leadership. This study aimed to elucidate prevailing attitudes, perceptions, and beliefs of women and men regarding opportunities and barriers for women's career advancement, as well as what can be done to address barriers going forward.Entities:
Mesh:
Year: 2018 PMID: 30779525 PMCID: PMC6748298 DOI: 10.9204/aogh.2384
Source DB: PubMed Journal: Ann Glob Health ISSN: 2214-9996 Impact factor: 2.462
Demographics of Survey Participants (N = 405).
| N(%) | |
|---|---|
| Age: | |
| 30 or under | 103 (25.5) |
| 31–40 | 146 (36.1) |
| 41–50 | 80 (19.8) |
| 51–60 | 50 (12.4) |
| 61–70 | 19 (4.7) |
| 71 or older | 6 (1.5) |
| Gender: | |
| Female | 392 (96.7) |
| Male | 13 (3.2) |
| Country of origin: | |
| Low- or middle-income country | 145 (36.0) |
| High-income country | 258 (64.0) |
| Country of current residence: | |
| Low- or middle-income country | 96 (23.8) |
| High-income country | 307 (76.2) |
| Race/Ethnicity: | |
| African | 72 (17.9) |
| Asian | 70 (17.4) |
| Hispanic | 18 (4.5) |
| White | 202 (50.1) |
| Mixed | 27 (6.7) |
| Other | 14 (3.5) |
| Marital Status: | |
| Married/domestic partnership | 220 (54.6) |
| Single (never married) | 146 (36.2) |
| Divorced/widowed/separated | 37 (9.2) |
| Employment status: | |
| Working full-time | 337 (83.6) |
| Working part-time | 34 (8.4) |
| Not currently working | 32 (7.9) |
| Career stage: | |
| Early career | 177 (43.8) |
| Mid career | 170 (42.1) |
| Late career | 57 (14.1) |
| Type of employer: | |
| Academia | 197 (48.8) |
| Private/for-profit | 34 (8.4) |
| Private/not-for-profit | 116 (28.7) |
| Public sector/government | 35 (8.7) |
| Other | 22 (5.5) |
| Leadership role: | |
| In a position of leadership | 147 (36.4) |
| Aspire to a position of leadership | 241 (59.6) |
| Do not aspire to leadership position | 16 (4.0) |
| Attended the Women Leaders in Global Health Conference: | |
| Attended in person | 221 (54.6) |
| Attended via livestream | 42 (10.4) |
| Did not attend | 142 (35.0) |
Perceived barriers to advancement in global health, stratified by respondents who currently live in high-income versus low- and middle-income country.
| Overall N (%) who agreed/strongly agreed | High-Income Country Residents (N = 264) N (%) who agreed/strongly agreed | Low- and Middle-Income Country Residents (N = 88) N (%) who agreed/strongly agreed | Chi Square (P value) | |
|---|---|---|---|---|
| Women face unique barriers to advancing to positions of global health leadership compared to men (N = 352) | 317 (89.5) | 242 (91.7) | 73 (83.0) | 12.3 (0.015) |
| I personally feel like gender bias has affected my career growth in global health (N = 352) | 209 (59.0) | 153 (57.9) | 54 (61.3) | 3.7 (0.44) |
| Lack of mentorship (N = 336) | 188 (56.0) | 130 (52.2) | 57 (67.1) | 6.5 (0.04) |
| Balancing work and home (N = 320) | 167 (52.2) | 117 (49.2) | 49 (60.5) | 3.4 (0.184) |
| Gender bias in home country (N = 320) | 161 (50.3) | 119 (49.6) | 42 (52.5) | 0.21 (0.896) |
| Lack of female mentors (N = 322) | 135 (41.9) | 98 (40.5) | 37 (46.8) | 1.01 (0.60) |
| Lack of assertiveness/confidence (N = 315) | 117 (37.1) | 85 (36.5) | 32 (39.5) | 1.4 (0.478) |
| Lack of opportunities (N = 312) | 109 (34.9) | 69 (29.7) | 40 (50.6) | |
| Lack of funding for meetings and networking (N = 313) | 104 (33.2) | 60 (26.0) | 43 (53.8) | |
| Gender bias in partner country (N = 309) | 97 (31.4) | 74 (32.0) | 23 (29.9) | 5.25 (0.072) |
| Inadequate pay (N = 312) | 97 (31.1) | 65 (28.0) | 31 (39.7) | 4.4 (0.111) |
| Safety concerns (N = 302) | 72 (23.7) | 37 (16.4) | 35 (45.5) | |
| Travel requirements (N = 302) | 68 (22.5) | 40 (17.8) | 27 (35.5) | |
| Work Load (N = 305) | 64 (21.0) | 32 (14.0) | 31 (40.8) | |
| Lack of training (N = 294) | 53 (18.0) | 28(12.7) | 25 (34.3) | |
Illustrative quotes.
| “Lingering norms about what women can/can’t do and how they should/shouldn’t act in professional situations hold women back and subtly but powerfully discourage them from pursuing or being considered for leadership roles.” |
| “Implicit bias still exists significantly …(regarding) how a woman is supposed to run her life and behave compared to men. If we speak up, we are still treated like bitches vs. men are simply (seen as) assertive and speaking their mind. And women are… (judged by) whether or not they have children and the spouse. Either way we can’t win. Much easier for men. I don’t know that this is specific to global health though.” |
| “While there are many women working in lower level positions in global health organizations and government positions related to global health, there are many fewer women working in high level positions, which means there are fewer mentors available to help us navigate the different things that make a global health career more challenging for women. Having mentors that understand what it means to not be respected by male colleagues and men in upper level positions, who encourage you to speak up, who understand that there are different safety concerns to consider when working in the field in any country for women is invaluable.” |
| “There simply is not enough support from men. Men and the socialization of men to not actively integrate, support, or stand up for their women counter-parts has shaped an ethos where women’s voices are consistently unheard.” |
| “(We need more) programs that support mid-career women. Most new programs are aimed at early-career or students, which is great, but that has to continue through mid-career to get women into the C-suite.” |
| “Women will do anything for their families. If faced with a trying situation… career suffers.” |
| “Our biology for making and rearing babies who become global citizens, while truly unique and beautiful, is so time consuming. There is a misconception that if women work outside the home (much more in some settings than other, very strong here in Mexico), they are neglecting their child rearing role and their children will be negatively affective by this. Social expectations and norms are so strong, and it is impossible to be everywhere and to do everything at once.” |
| “I think for me currently, the biggest challenge is not extrinsic, it is intrinsic. I do not have the self-confidence that I can be a leader in this field yet and need to change how I act to change this.” |
| “Considering a woman’s intersectionality (the other traits that work in combination to create bias (ageism, racism, genderism, etc.)) is also important to address so that as we work as women we do not recreate similar inequalities as historic systems have allowed.” |
| “I think men and male-created institutions still define what a good leader (is) with a gendered lens. As a woman leading an organization…. I am judged according to a male-centric definition of leadership.” |
Logistic regression analysis showing variables associated with a personal belief that gender bias has affected global health career growth.
| Variable | Odds Ratio | Standard Error | P Value | 95% CI | |
|---|---|---|---|---|---|
| Age (<=40, ref) | |||||
| 41 and above | 1.3 | 0.30 | 0.24 | 0.82–2.07 | |
| Race (African, ref) | |||||
| Asian | 2.6 | 1.01 | 0.012 | 1.23–5.61 | |
| Hispanic | 1.2 | 0.76 | 0.700 | 0.38–4.12 | |
| White | 2.6 | 0.94 | 0.007 | * | 1.29–5.31 |
| Mixed | 2.0 | 1.07 | 0.178 | 0.72–5.70 | |
| Other | 2.8 | 1.91 | 0.113 | 0.77–10.58 | |
| Employment type (Academia, ref) | |||||
| Private/for-profit | 0.5 | 0.21 | 0.115 | 0.23–1.17 | |
| Private/not-for-profit | 0.9 | 0.26 | 0.975 | 0.58–1.67 | |
| Public sector/government | 1.6 | 0.75 | 0.269 | 0.67–4.1 | |
| Other | 0.5 | 0.27 | 0.224 | 0.18–1.48 | |
| Country of residence (HIC, ref) | |||||
| LMIC residence | 1.8 | 0.57 | 0.069 | 0.95–3.36 | |
| Constant | 0.6 | 0.19 | 0.097 | 0.28–1.11 | |
Barriers to Leadership with Suggested Solutions.
| Barrier | Individual-level solution | Meta-level solution | |
|---|---|---|---|
| Common to both HIC and LMIC respondents | |||
| Lack of mentorship/sponsorship | - | - | |
| Balancing work and home | - | - | |
| System/culture/gender bias | - | - | |
| Women’s lack of assertiveness | - | - | |
| Lack of opportunities | - | - | |
| Lack of funding for meetings/networking | - | - | |
| Safety concerns | - | - | |
| Travel requirements | - | - | |