| Literature DB >> 34195547 |
Courtney E Harris1, Stephanie D Clark2, Sherry S Chesak3, Tejinder K Khalsa2, Manisha Salinas4, Amy C S Pearson5, Amy W Williams6, Susan M Moeschler7, Anjali Bhagra2.
Abstract
OBJECTIVE: To assess demographic characteristics and perceptions of female physicians in attendance at a medical conference for women with content focused on growth, resilience, inspiration, and tenacity to better understand major barriers women in medicine face and to find solutions to these barriers. PATIENTS AND METHODS: A Likert survey was administered to female physicians attending the conference (September 20 to 22, 2018). The survey consisted of demographic data and 4 dimensions that are conducive to women's success in academic medicine: equal access, work-life balance, freedom from gender biases, and supportive leadership.Entities:
Keywords: CCWAS, culture conducive to women’s academic success; CME, continuing medical education; GRIT, growth, resilience, inspiration, and tenacity
Year: 2021 PMID: 34195547 PMCID: PMC8240154 DOI: 10.1016/j.mayocpiqo.2021.02.007
Source DB: PubMed Journal: Mayo Clin Proc Innov Qual Outcomes ISSN: 2542-4548
Demographic Data and Characteristics of Female Physician Participants From GRIT Leadership Conference (N=228)a,b
| Sociodemographic variables | ||
| Age (y) | (n=222) | |
| 25-35 | 32 | (14.4) |
| 36-44 | 113 | (50.9) |
| 45-54 | 60 | (27.0) |
| 55-64 | 16 | (7.2) |
| 65+ | 1 | (0.5) |
| Ethnicity | (N=228) | |
| Native American | 4 | (1.8) |
| African American | 7 | (3.1) |
| Hispanic/Latino | 12 | (5.3) |
| Asian/South Asian | 31 | (13.6) |
| Caucasian/white | 170 | (74.6) |
| Multiracial | 4 | (1.8) |
| Place of birth | (n=221) | |
| United States | 181 | (81.9) |
| Other | 40 | (18.1) |
| Current geographic location (US) | (n=222) | |
| Northeast | 13 | (5.9) |
| Midwest | 117 | (52.7) |
| South | 20 | (9.0) |
| West | 72 | (32.4) |
| Highest degree earned by either parent | (n=224) | |
| High-school diploma/GED | 28 | (12.5) |
| Associate degree | 15 | (6.7) |
| Bachelor's degree | 47 | (21.0) |
| Master's degree | 38 | (17.0) |
| Doctorate | 18 | (8.0) |
| Professional | 74 | (33.0) |
| Other | 2 | (0.9) |
| Less than high school | 2 | (0.9) |
| Marital status | (n=222) | |
| Married | 181 | (81.5) |
| Committed partnership | 11 | (5.0) |
| Divorced | 8 | (3.6) |
| Single | 22 | (9.9) |
| Partner works outside the home | (n=191) | |
| Yes, full time | 132 | (69.1) |
| Yes, part time | 25 | (13.1) |
| No | 34 | (17.8) |
| Partner is physician | (n=188) | |
| Yes | 57 | (30.3) |
| No | 131 | (69.7) |
| No. of children | (n=221) | |
| 0 | 50 | (22.6) |
| 1 | 23 | (10.4) |
| 2 | 91 | (41.2) |
| 3 | 45 | (20.4) |
| 4 | 8 | (3.6) |
| ≥5 | 4 | (1.8) |
| Occupational variables | ||
| Country of medical school | (n=224) | |
| United States | 205 | (91.5) |
| Other | 19 | (8.5) |
| Medical degree | (n=225) | |
| MD | 208 | (92.4) |
| DO | 14 | (6.2) |
| Other | 3 | (1.3) |
| Residency graduation year | (n=225) | |
| Before 1990 | 10 | (4.4) |
| 1991-2000 | 38 | (16.9) |
| 2001-2010 | 104 | (46.2) |
| 2011-current | 73 | (32.4) |
| Years of practice (including residency) | (n=222) | |
| 0-5 | 10 | (4.5) |
| 6-10 | 60 | (27.0) |
| 11-20 | 111 | (50.0) |
| 21-30 | 34 | (15.3) |
| ≥31 | 7 | (3.2) |
| Current job status | (n=220) | |
| Resident | 2 | (0.9) |
| Fellow | 2 | (0.9) |
| Attending | 212 | (96.4) |
| Working nonclinically | 4 | (1.8) |
| Main department affiliation | (n=223) | |
| Emergency Medicine | 13 | (6.3) |
| Internal Medicine/subspecialties | 41 | (18.3) |
| Surgery/specialties | 6 | (2.7) |
| Anesthesia | 24 | (10.7) |
| Ophthalmology | 4 | (1.8) |
| Gynecology | 24 | (10.7) |
| Radiology | 4 | (1.8) |
| Pathology/Laboratory Medicine | 2 | (0.9) |
| Neurology | 2 | (0.9) |
| Psychiatry | 6 | (2.7) |
| Dermatology | 5 | (2.2) |
| Other | 92 | (41.1) |
GRIT, Growth, Resilience, Inspiration, and Tenacity for Women in Medicine.
Values are reported as number (%).
FigureSummary of results from Growth, Resilience, Inspiration, and Tenacity for Women in Medicine (GRIT) conference from 4 domains of career support (equal access to resources; efforts to balance work and family; support from supervisors; freedom from gender bias) based on stages of career (early, mid, and late career). Major findings are highlighted for each career stage.
Summary Statistics for 4 Dimensions of Career Aspects of Culture Conducive to Women’s Academic Success (CCWAS)
| Survey domain | No. | Mean (SD) | Median | Q1, Q3 | Range | |
|---|---|---|---|---|---|---|
| Equal access | 228 | −0.1 (0.9) | −0.2 | −0.8, 0.6 | (−2.0 to 2.0) | .16 |
| Support for work-life balance | 220 | −0.7, 0.3 | ( | <.001 | ||
| Freedom from gender bias | 219 | −1.0, 0.3 | ( | <.001 | ||
| Supervision support | 219 | 0.4 (0.9) | 0.4 | −0.2, 1.0 | ( | <.001 |
By t-test.
The extent to which women faculty have equal access to the resources that contribute to career success compared with men.
The extent to which women physicians are supported in their efforts to balance work and family for the achievement of both personal and professional success.
The extent to which women are able to work in an environment in which they are able to voice concerns about subtle and overt gender biases.
The extent to which the unit leader supports important aspects of women’s careers.
Mean Scores for 4 Dimensions of Career Aspects of Culture Conducive to Women’s Academic Success (CCWAS) by Career Stage and Age in GRIT Surveya
| CCWAS domain mean scores by career stage | ||||
|---|---|---|---|---|
| 0-10 y (n=70) | 11-20 y (n=111) | 20+ y (n=41) | ||
| Equal access | .11 | |||
| No. | 70 | 111 | 40 | |
| Mean (SD) | −0.1 (0.9) | 0.1 (0.9) | −0.3 (0.7) | |
| Median | −0.1 | 0.0 | −0.3 | |
| Q1, Q3 | −0.9, 0.6 | −1.7, −2.0 | −1.4, −1.6 | |
| Support for work-life balance | .03 | |||
| No. | 69 | 106 | 39 | |
| Mean (SD) | −0.2 (0.7) | −0.1 (0.8) | −0.4 (0.7) | |
| Median | −0.2 | −0.2 | −0.3 | |
| Q1, Q3 | −0.7, 0.3 | −0.7, 0.5 | −0.8, 0.0 | |
| Freedom from gender bias | .04 | |||
| No. | 69 | 105 | 39 | |
| Mean (SD) | −0.3 (0.9) | −0.2 (0.9) | −0.6 (0.8) | |
| Median | −0.5 | −0.5 | −0.8 | |
| Q1, Q3 | −0.8, 0.3 | −0.8, 0.5 | −1.3, 0.0 | |
| Supervision support | .05 | |||
| No. | 69 | 106 | 39 | |
| Mean (SD) | 0.5 (0.8) | 0.4 (0.9) | 0.3 (1.0) | |
| Median | 0.4 | 0.5 | 0.2 | |
| Q1, Q3 | −0.1, 0.9 | −0.2, 1.0 | −0.5, 0.2 | |
GRIT, Growth, Resilience, Inspiration, and Tenacity for Women in Medicine.
By Kruskal-Wallis test.
Summary Statistics for Select Individual Questions in GRIT Surveya
| Individual questions by years in practice | ||||
|---|---|---|---|---|
| 0-10 y (n=70) | 11-20 y (n=111) | 20+ y (n=41) | ||
| Women physicians are more likely to have others take credit for their work. | .02 | |||
| No. | 70 | 111 | 40 | |
| Mean (SD) | −0.8 (1.1) | −0.3 (1.2) | −0.8 (1.0) | |
| Median | −1.0 | −1.0 | −1.0 | |
| Q1, Q3 | −2.0, 0.0 | −1.0, 1.0 | −2.0, 0.0 | |
| Women physicians have | .03 | |||
| No. | 47 | 103 | 71 | |
| Mean (SD) | −0.3 (1.1) | 0.1 (1.2) | −0.2 (1.0) | |
| Median | −1.0 | 0.0 | 0.0 | |
| Q1, Q3 | −1.0, 0.0 | −1.0, 1.0 | −1.0, 0.0 | |
| Attending to personal needs, such as taking time off for sick children, is frowned upon. | .04 | |||
| No. | 46 | 99 | 72 | |
| Mean (SD) | −0.4 (1.1) | 0.1 (1.2) | 0.1 (1.3) | |
| Median | −0.5 | 0.0 | 0.0 | |
| Q1, Q3 | −1.0, 0.0 | −1.0, 1.0 | −1.0, 1.0 | |
GRIT, Growth, Resilience, Inspiration, and Tenacity for Women in Medicine.
By Kruskal-Wallis test.