| Literature DB >> 35442989 |
Eveline Hitti1, Dima Hadid1, Samia J Khoury2, Hani Tamim3, Maha Makki3, Charlotte M Karam4.
Abstract
INTRODUCTION: Gendered differences in career paths of medical graduates persist globally. We aim to explore the impact of domestic tethers on the career paths of physicians by studying gendered differences in domestic burdens of physicians as well as differences in perceptions around the impact of domestic work on professional advancement.Entities:
Mesh:
Year: 2022 PMID: 35442989 PMCID: PMC9020711 DOI: 10.1371/journal.pone.0267288
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Participant personal and professional characteristics, by gender.
| Gender | ||||
|---|---|---|---|---|
| Demographic | Women | Men | p-value | |
| N = 124 | N = 258 | |||
|
| Mean (SD) | 42.4±13.0 | 51.4±15.9 | <0.001 |
| <36 | 44 (35.5) | 44 (17.1) | <0.001 | |
| 36–50 | 50 (40.3) | 79 (30.6) | ||
| 51–65 | 23 (18.5) | 87 (33.7) | ||
| ≥66 | 7 (5.6) | 48 (18.6) | ||
|
| Married/domestic partnership | 77 (62.1) | 200 (77.5) | 0.004 |
| Single (never married) | 37 (29.8) | 50 (19.4) | ||
| Divorced or widowed | 10 (8.1) | 8 (3.1) | ||
| Married with kids | 56 (72.7) | 193 (96.5) | <0.001 | |
| Married without kids | 21 (27.3) | 7 (3.5) | ||
|
| Yes | 64 (51.6) | 201 (77.9) | <0.001 |
|
| 1 | 10 (15.6) | 17 (8.5) | 0.01 |
| 2 | 34 (53.1) | 76 (37.8) | ||
| ≥3 | 20 (31.3) | 108 (53.7) | ||
|
| ≤29 | 25 (39.1) | 60 (29.9) | 0.06 |
| 30–31 | 18 (28.1) | 43 (21.4) | ||
| 32–34 | 13 (20.3) | 40 (19.9) | ||
| ≥35 | 8 (12.5) | 58 (28.9) | ||
|
| ||||
|
| Full time | 96 (82.1) | 203 (87.1) | 0.20 |
| Part time | 21 (17.9) | 30 (12.9) | ||
|
| Women dominated specialties | 60 (48.4) | 77 (29.8) | 0.001 |
| Men dominated specialties | 54 (43.5) | 166 (64.3) | ||
| Others | 10 (8.1) | 15 (5.8) | ||
|
| Yes | 56 (52.3) | 152 (68.8) | 0.004 |
|
| Private practice | 30 (25.6) | 77 (33.0) | 0.36 |
| Academic medical center | 73 (62.4) | 132 (56.7) | ||
| Other | 14 (12.0) | 24 (10.3) | ||
|
| Instructor | 2 (2.8) | 4 (3.0) | 0.13 |
| Assistant professor | 13 (18.1) | 36 (27.3) | ||
| Associate professor | 15 (20.8) | 27 (20.5) | ||
| Full professor | 12 (16.7) | 32 (24.2) | ||
| Other | 30 (41.7) | 33 (25.0) | ||
|
| ||||
|
| Yes | 69 (86.3) | 92 (45.5) | <0.001 |
|
| Full-time | 59 (85.5) | 54 (58.7) | <0.001 |
| Part time | 10 (14.5) | 38 (41.3) | ||
|
| Medical doctor | 35 (50.7) | 25 (27.2) | <0.001 |
| Other health care professional | 2 (2.9) | 26 (28.3) | ||
| Non-medical professional | 32 (46.4) | 41 (44.6) | ||
^ Obstetrics and gynecology, pediatrics, psychiatry, pathology, dermatology, family medicine.
& neurology, ophthalmology, otolaryngology-head neck surgery, radiology, emergency medicine, surgery, urology, anesthesiology, internal medicine.
Gender differences in personal and professional characteristics among full-time and part-time physicians.
| Full-time | Part-time | Women | Men | ||||||
|---|---|---|---|---|---|---|---|---|---|
| N = 299 | N = 51 | ||||||||
| Demographic | Women | Men | p-value | Women | Men | p-value | p-value (full-time vs part-time) | p-value (full-time vs part-time) | |
| N = 96 | N = 203 | N = 21 | N = 30 | ||||||
|
|
| 40.7±11.8 | 46.7±12.7 | <0.001 | 47.7±11.8 | 61.9±14.9 | 0.001 | 0.01 | <0.001 |
| <36 | 39 (40.6) | 43 (21.2) | <0.001 | 2 (9.5) | 1 (3.3) | 0.003 | 0.01 | <0.001 | |
| 36–50 | 37 (38.5) | 74 (36.5) | 12 (57.1) | 5 (16.7) | |||||
| 51–65 | 18 (18.8) | 76 (37.4) | 5 (23.8) | 10 (33.3) | |||||
| ≥66 | 2 (2.1) | 10 (4.9) | 2 (9.5) | 14 (46.7) | |||||
|
| Married/domestic partnership | 56 (58.3) | 151 (74.4) | 0.004 | 17 (81.0) | 27 (90.0) | 0.57 | 0.16 | 0.06 |
| Single (never married) | 32 (33.3) | 48 (23.6) | 3 (14.3) | 2 (6.7) | |||||
| Divorced or widowed | 8 (8.3) | 4 (2.0) | 1 (4.8) | 1 (3.3) | |||||
| Married with kids | 37 (66.1) | 144 (95.4) | <0.001 | 17 (100.0) | 27 (100.0) | - | 0.003 | 0.60 | |
| Married without kids | 19 (33.9) | 7 (4.6) | - | - | |||||
|
| Yes | 44 (45.8) | 148 (72.9) | <0.001 | 17 (81.0) | 28 (93.3) | 0.21 | 0.004 | 0.01 |
|
| 1 | 9 (20.5) | 14 (9.5) | 0.01 | 0 (0.0) | 1 (3.6) | 0.09 | 0.03 | 0.01 |
| 2 | 25 (56.8) | 66 (44.6) | 8 (47.1) | 5 (17.9) | |||||
| ≥3 | 10 (22.7) | 68 (45.9) | 9 (52.9) | 22 (78.6) | |||||
|
| Women dominated specialties | 39 (40.6) | 52 (25.6) | 0.03 | 18 (85.7) | 15 (50.0) | 0.02 | 0.001 | 0.02 |
| Men dominated specialties | 50 (52.1) | 136 (67.0) | 3 (14.3) | 15 (50.0) | |||||
| Others | 7 (7.3) | 15 (7.4) | - | - | |||||
|
| Yes | 51 (58.6) | 138 (71.9) | 0.03 | 5 (25.0) | 14 (48.3) | 0.14 | 0.01 | 0.01 |
|
| Private practice | 17 (17.7) | 60 (29.6) | 0.09 | 13 (61.9) | 17 (56.7) | 1.00 | <0.001 | 0.004 |
| Academic medical center | 67 (69.8) | 123 (60.6) | 6 (28.6) | 9 (30.0) | |||||
| Other | 12 (12.5) | 20 (9.9) | 2 (9.5) | 4 (13.3) | |||||
|
| Yes | 53 (91.4) | 80 (52.3) | <0.001 | 15 (88.2) | 9 (33.3) | 0.001 | 0.65 | 0.07 |
|
| Full-time | 48 (90.6) | 48 (60.0) | <0.001 | 10 (66.7) | 5 (55.6) | 0.68 | 0.03 | 1.00 |
| Part-time | 5 (9.4) | 32 (40.0) | 5 (33.3) | 4 (44.4) | |||||
^ Obstetrics and gynecology, pediatrics, psychiatry, pathology, dermatology, family medicine.
& neurology, ophthalmology, otolaryngology-head neck surgery, radiology, emergency medicine, surgery, urology, anesthesiology.
Multivariate logistic regression of predictors of part-time career paths (STEPWISE method).
| Currently employed contract (Reference: part-time) | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Chi-square | B | S.E. | Wald | df | P-value | OR | 95% C.I. | ||
| Lower | Upper | ||||||||
| Gender (men) | 8.1 | 0.8 | 0.4 | 5.1 | 1 | 0.02 | 2.3 | 1.1 | 4.8 |
| Age (≥65) | -2.4 | 0.5 | 27.3 | 1 | <0.001 | 0.1 | 0.04 | 0.2 | |
| Specialty (men dominant specialty) | 1.2 | 0.4 | 10.6 | 1 | 0.001 | 3.2 | 1.6 | 6.4 | |
| Children | -1.4 | 0.5 | 8.8 | 1 | 0.003 | 0.2 | 0.1 | 0.6 | |
Imposed: gender (reference: Women).
Stepwise: Age (Reference: <36); marital status (Reference: single); specialty (Reference: Women dominated specialties); Children (reference: no).
Multivariate logistic regression of potential modifiers of career paths, by gender (STEPWISE method).
| Gender | Chi-square | B | S.E. | Wald | df | P-value | OR | 95% C.I. | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||||
|
|
| 0.8 | 1.9 | 0.7 | 8.1 | 1 | 0.004 | 6.8 | 1.8 | 25.3 |
|
| -1.6 | 0.6 | 7.3 | 1 | 0.01 | 0.2 | 0.1 | .6 | ||
|
|
| - | -2.8 | 0.5 | 33.4 | 1 | <0.001 | 0.1 | 0.02 | .2 |
Age (Reference: <36); marital status (Reference: single); specialty (Reference: Women dominated specialties); Children (reference: no).
Gender differences in time allocation among full-time physicians.
| Full time | |||||
|---|---|---|---|---|---|
| n = 299 | |||||
| Women | Men | p-value | |||
| N = 96 | N = 203 | ||||
|
|
| Personal | 19.9±21.3 | 13.4±15.4 | 0.01 |
| Spouse | 14.5±15.7 | 35.0±26.4 | <0.001 | ||
|
| Personal | 8.9±7.6 | 6.0±5.0 | 0.001 | |
| Spouse | 5.6±5.0 | 15.7±9.7 | <0.001 | ||
|
| Personal | 23.5±20.7 | 10.4±16.0 | <0.001 | |
| Spouse | 15.4±14.2 | 21.6±22.4 | 0.13 | ||
|
|
| 58.3±15.2 | 60.2±14.6 | 0.32 | |
| Time spent per week on patient care activities | 36.5±16.5 | 41.0±15.8 | 0.04 | ||
| Time spent per week on teaching activities | 7.5±5.2 | 8.0±6.1 | 0.53 | ||
| Time spent per week on research activities | 14.5±15.4 | 11.7±16.2 | 0.26 | ||
| Time spent per week on administrative service activities | 10.8±13.4 | 8.9±10.5 | 0.25 | ||
Work life-intersection and perception towards impact on career.
| Gender | |||||
|---|---|---|---|---|---|
|
|
|
| |||
|
|
| ||||
|
|
| Yes | 28 (43.8) | 32 (15.9) | <0.001 |
|
| Yes | 32 (50.0) | 39 (19.4) | <0.001 | |
|
| Only me | 20 (31.3) | 7 (3.5) | <0.001 | |
| Only my partner | 2 (3.1) | 88 (44.0) | |||
| Both | 8 (12.5) | 14 (7.0) | |||
| Neither | 34 (53.1) | 91 (45.5) | |||
|
| I did/do | 27 (42.2) | 6 (3.0) | <0.001 | |
| My spouse/partner | 9 (14.1) | 165 (82.1) | |||
| Another family member | 7 (10.9) | 4 (2.0) | |||
| Nanny | 13 (20.3) | 14 (7.0) | |||
| other | 8 (12.5) | 12 (6.0) | |||
|
|
|
| |||
|
|
| ||||
|
|
| Yes | 71 (92.2) | 172 (86.0) | 0.16 |
|
| My spouse’s/partner’s career responsibilities took priority over mine | 34 (47.9) | 24 (14.0) | <0.001 | |
| My career advancement took priority over that of my spouse/partner | 37 (52.1) | 148 (86.0) | |||
*Only asked of physicians indicating that they have children.
&Only asked of physicians indicating that they currently are married/partnered.