| Literature DB >> 23497262 |
Saima Diderichsen1, Eva E Johansson, Petra Verdonk, Toine Lagro-Janssen, Katarina Hamberg.
Abstract
BACKGROUND: Today, women constitute about half of medical students in several Western societies, yet women physicians are still underrepresented in surgical specialties and clustered in other branches of medicine. Gender segregation in specialty preference has been found already in medical school. It is important to study the career preferences of our future physicians, as they will influence the maintenance of an adequate supply of physicians in all specialties and the future provision of health care. American and British studies dominate the area of gender and medical careers whereas Swedish studies on medical students' reasons for specialty preference are scarce. The aim of this study is to investigate and compare Swedish male and female medical students' specialty preferences and the motives behind them.Entities:
Mesh:
Year: 2013 PMID: 23497262 PMCID: PMC3599519 DOI: 10.1186/1472-6920-13-39
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Socio-demographics of participating male and female students
| | | | ||||
|---|---|---|---|---|---|---|
| Age | | 27.3 | (3.2) | 27.7 | (3.2) | NS |
| | | | ||||
| Civil status | Not cohabiting | 50 | (107) | 46 | (73) | NS |
| | Cohabiting | 50 | (109) | 54 | (84) | |
| Children | No | 89 | (192) | 83 | (131) | NS |
| | Yes | 11 | (24) | 17 | (26) | |
| Highest education mother | Higher | 73 | (157) | 78 | (121) | NS |
| | Intermediate | 20 | (43) | 17 | (27) | |
| | Primary | 7 | (14) | 5 | (7) | |
| Highest education father | Higher | 64 | (137) | 75 | (116) | |
| | Intermediate | 22 | (47) | 18 | (27) | |
| | Primary | 14 | (30) | 7 | (11) | |
| Working status mother | Full-time | 60 | (129) | 71 | (112) | NS |
| | Part-time | 18 | (38) | 14 | (22) | |
| | Other | 22 | (48) | 15 | (23) | |
| Working status father | Full-time | 69 | (148) | 68 | (106) | NS |
| | Part-time | 5 | (10) | 6 | (10) | |
| Other | 27 | (58) | 26 | (41) | ||
Note: Significance level for gender differences was set at p < .05. SD = Standard deviation. NS = not significant. p < .05 in bold.
Male and female students’ career preferences
| | | | ||||
|---|---|---|---|---|---|---|
| Specialty preference | 27 | (58) | 29 | (44) | NS | |
| | Surgery | 17 | (36) | 23 | (36) | NS |
| | Gynecology | 8 | (17) | 3 | (4) | |
| | Anesthesiology | 2 | (5) | 3 | (4) | NS |
| | 22 | (48) | 24 | (37) | NS | |
| | Internal medicine | 8 | (17) | 9 | (14) | NS |
| | Pediatrics | 7 | (15) | 4 | (6) | NS |
| | Psychiatrya | 3 | (6) | 3 | (5) | NS |
| | Neurology | 2 | (4) | 3 | (5) | NS |
| | Others | 3 | (6) | 5 | (7) | NS |
| | 18 | (38) | 17 | (26) | NS | |
| | 32 | (68) | 30 | (47) | NS | |
| Preferred working hours (hours per week) | More than full-time (>40) | 2 | (5) | 10 | (15) | |
| | Full-time (40) | 40 | (85) | 51 | (80) | |
| | Slightly less than full-time (31–39) | 23 | (50) | 12 | (19) | |
| | 75% and less (≤30) | 31 | (66) | 24 | (37) | |
| Other | 4 | (9) | 4 | (6) | ||
Note: Significance level for gender differences was set at p < .05. NS = not significant. p < .05 in bold. aPsychiatry includes child and adolescent psychiatry.
Rating (Likert scale 1–5) of motivational factors for specialty preference
| | | ||
|---|---|---|---|
| Interesting content | 4.7 (0.5) | 4.5 (0.6) | |
| A lot of direct patient contact | 4.1 (0.9) | 3.9 (0.9) | |
| In line with technical skills | 4.1 (1.1) | 4.0 (1.0) | NS |
| Combining work with family | 3.9 (1.1) | 3.6 (1.1) | |
| Career prospects | 3.3 (1.0) | 3.4 (1.0) | NS |
| Good salary | 3.1 (0.9) | 3.2 (1.1) | NS |
| Research opportunities | 2.8 (1.2) | 2.9 (1.2) | NS |
Note: Significant gender differences were measured using a non-parametric test (Mann–Whitney U test); significance level was set at p < .05. NS = not significant. p < .05 in bold.
Motivational factors associated with specialty preference
| | | ||||
|---|---|---|---|---|---|
| | | ||||
| Combining work with family | 0.4 (0.3–0.6) | 0.4 (0.3–0.7) | |||
| | Good salarya | 1.9 (1.2–3.0) | 0.8 (0.5–1.3) | NS | |
| | In line with technical skills | 1.4 (1.0–1.9) | 1.9 (1.2–3.0) | ||
| | Lots of direct patient contact | 0.9 (0.6–1.3) | NS | 0.6 (0.4–0.9) | |
| Research opportunities | 1.4 (1.0–1.9) | 1.9 (1.3–2.9) | |||
| | Good salary | 0.4 (0.2–0.6) | 0.8 (0.5–1.3) | NS | |
| | Interesting content | 2.4 (1.0–5.5) | 1.7 (0.8–3.9) | NS | |
| Lots of direct patient contact | 3.7 (1.8–7.9) | 2.9 (1.4–6.0) | |||
| | Career prospectsa | 0.4 (0.2–0.7) | 0.8 (0.4–1.5) | NS | |
| | Combining work with family | 2.3 (1.3–4.2) | 1.6 (0.9 –2.9) | NS | |
| | Good salary | 1.9 (1.1–3.3) | 1.7 (0.9–3.2) | NS | |
| | Interesting content | 0.4 (0.2–0.9) | 0.8 (0.4–1.9) | NS | |
| | In line with technical skills | 0.6 (0.4–1.0) | 0.7 (0.5–1.2) | NS | |
| | Research opportunities | 0.8 (0.6–1.3) | NS | 0.6 (0.4–1.0) | |
| Combining work with family | 2.1 (1.5–3.1) | 1.8 (1.2–2.7) | |||
| Lots of direct patient contact | 0.6 (0.4–0.8) | 1.0 (0.7–1.5) | NS | ||
Note: Specialty preference (outcome) = modeling the probability of choosing it (not choosing it = ref.). Mediators = motivational factors (probability of choosing a specialty preference). OR = odds ratio (95% CI = confidence interval). Significance was set at p < .05. NS = not significant. p < .05 in bold. aSignificant interaction term with gender in separate analyses on each motivational factor.