| Literature DB >> 25395230 |
Margret Alers1, Tess Pepping, Hans Bor, Petra Verdonk, Katarina Hamberg, Antoine Lagro-Janssen.
Abstract
Physician gender is associated with differences in the male-to-female ratio between specialities and with preferred working hours. We explored how graduating students' sex or full-time or part-time preference influences their speciality choice, taking work-life issues into account. Graduating medical students at Radboud University Medical Centre, the Netherlands participated in a survey (2008-2012) on career considerations. Logistic regression tested the influence of sex or working hour preference on speciality choice and whether work-life issues mediate. Of the responding students (N = 1,050, response rate 83, 73.3 % women), men preferred full-time work, whereas women equally opted for part time. More men chose surgery, more women family medicine. A full-time preference was associated with a preference for surgery, internal medicine and neurology, a part-time preference with psychiatry and family medicine. Both male and female students anticipated that foremost the career of women will be negatively influenced by family life. A full-time preference was associated with an expectation of equality in career opportunities or with a less ambitious partner whose career would affect family life. This increased the likelihood of a choice for surgery and reduced the preference for family medicine among female students. Gender specifically plays an important role in female graduates' speciality choice making, through considerations on career prospects and family responsibilities.Entities:
Year: 2014 PMID: 25395230 PMCID: PMC4263795 DOI: 10.1007/s40037-014-0149-5
Source DB: PubMed Journal: Perspect Med Educ ISSN: 2212-2761
Demographics of study population
| Female % ( | Male |
| |
|---|---|---|---|
| Age: Mean (SD; Min–Max) | 24.4 (2.4; 21–46) | 24.9 (3.1; 21–45) | 0.015* |
| Civil status | 0.272 | ||
| Single | 37.0 (286) | 33.3 (91) | |
| In a relationship | 63.0 (486) | 66.7 (182) | |
| Children | 0.033* | ||
| Yes | 1.3 (10) | 3.3 (9) | |
| No | 98.7 (752) | 96.7 (260) | |
| Mother’s education | 0.189 | ||
| No/lower | 48.5 (370) | 53.1 (144) | |
| Higher | 51.5 (393) | 46.9 (127) | |
| Father’s education | 0.495 | ||
| No/lower | 36.0 (273) | 33.7 (91) | |
| Higher | 64.0 (485) | 66.3 (179) | |
| Mother’s work | 0.278 | ||
| Full-time | 23.3 (133) | 27.1 (55) | |
| Part-time | 76.7 (438) | 72.9 (148) | |
| Father’s work | 0.677 | ||
| Full-time | 87.3 (542) | 86.2 (187) | |
| Part-time | 12.7 (79) | 13.8 (30) | |
* p < 0.05
The influence of sex or working hour preference on speciality choice
| Female | Male | Influence of sex | Influence of working hours | |||
|---|---|---|---|---|---|---|
| % ( | % ( | OR (95 % CI) |
| OR (95 % CI) |
| |
| Specialities | ||||||
| Internal medicine | 12.3 (95) | 14.9 (41) | 0.78 (0.54/1.18) | 0.261 | 2.01 (1.35/3.0) | 0.001* |
| Psychiatry | 1.9 (15) | 2.5 (7) | 0.76 (0.31/1.87) | 0.545 | 0.41 (0.17/1.0) | 0.047* |
| Neurology | 3.7 (29) | 4.7 (13) | 0.78 (0.40/1.53) | 0.475 | 2.05 (1.02/4.14) | 0.045* |
| Paediatrics | 5.5 (43) | 4.0 (11) | 1.41 (0.72/2.78) | 0.320 | 0.84 (0.49/1.46) | 0.541 |
| Surgery | 7.6 (59) | 21.5 (59) | 0.30 (0.20/0.45) | 0.000* | 4.98 (2.93/8.45) | 0.000* |
| Gynaecology | 7.1 (55) | 4.7 (13) | 1.54 (0.83/2.86) | 0.173 | 1.47 (0.88/2.47) | 0.146 |
| Family medicine | 32.5 (252) | 18.5 (51) | 2.12 (1.51/2.97) | 0.000* | 0.33 (0.25/0.44) | 0.000* |
| Other | 13.7 (106) | 15.3 (42) | 0.88 (0.60/1.30) | 0.514 | 1.15 (0.81/1.65) | 0.433 |
| I don’t know | 15.6 (121) | 13.8 (38) | 1.15 (0.78/1.71) | 0.476 | 0.91 (0.65/1.28) | 0.579 |
Legend: Graduates’ speciality consideration (outcome): modelling the probability of choosing a speciality preference (not choosing it = ref.), Independent variables: either sex (female, male = ref.) or working hours (full-time work, part-time work = ref.)
OR Odds ratio, 95 % CI confidence interval
* p < 0.05
The influence of sex or working hour preference on work-life issues
| Female | Male | Influence sex | Influence working hours | ||||
|---|---|---|---|---|---|---|---|
| % ( | % ( | OR (95 % CI) |
| OR (95 % CI) |
| ||
|
| |||||||
| Career | |||||||
| 1 | Same opportunities concerning career as partner | 41.1 (314) | 39.1 (106) | 1.14 (0.87–0.34) | 0.340 | 1.34 (1.04–1.72) | 0.023* |
| 2 | Partner less ambitious than you | 37.1 (284) | 44.5 (121) | 0.65 (0.49–0.00) | 0.004* | 1.74 (1.36–2.24) | 0.000* |
| 3 | Job and career goals affect choice of having a family | 76.9 (587) | 64.6 (175) | 1.93 (1.33–0.00) | 0.001* | 0.94 (0.65–1.35) | 0.742 |
| 4 | Having a family affects job and career aspirations | 64.4 (487) | 62.9 (171) | 1.01 (0.72–0.97) | 0.970 | 0.96 (0.70–1.30) | 0.777 |
| 5 | Job and career goals of partner affect choice of having a family | 48.6 (370) | 61.3 (166) | 0.53 (0.37–0.00) | 0.001* | 1.43 (1.08–1.91) | 0.014* |
| 6 | Having a family affects job and career aspirations of partner | 49.1 (372) | 64.3 (175) | 0.51 (0.35–0.00) | 0.000* | 1.01 (0.75–1.36) | 0.931 |
| Care | |||||||
| 7 | Equally share household chores | 72.9 (557) | 57.3 (157) | 2.11 (1.53–0.00) | 0.000* | 0.77 (0.57–1.06) | 0.104 |
| 8 | Household chores by someone else1 | 60.8 (465) | 50.6 (137) | 1.42(1.05–0.02) | 0.024* | 1.05 (0.79–1.39) | 0.751 |
| 9 | Equal care of the children | 60.9 (465) | 50.5 (138) | 1.37 (0.99–0.06) | 0.060 | 1.11 (0.82–1.51) | 0.485 |
| 10 | Taking care of the children by day care centre | 71.0 (540) | 59.0 (161) | 1.59 (1.09–0.02) | 0.016* | 1.12 (0.78–1.60) | 0.553 |
| 11 | Taking care of the children by nanny and grandparents | 76.9 (586) | 59.6 (162) | 2.02 (1.38–0.00) | 0.000* | 0.94 (0.65–1.36) | 0.754 |
Legend: Graduates’ work-life issue consideration (outcome): modelling the probability of agreement to it (agreement means choosing value 4–5, not agreeing is value 1–3 = ref.), Independent variables: either sex (female, male = ref.) or working hours (full-time work, part-time work = ref.)
OR Odds ratio, 95 % CI confidence interval
* p < 0.05