Participants
A cohort of graduating medical students from the Radboud University Medical Center, the Netherlands (N = 1,267, 70.1 % women) participated in a cross-sectional survey on career considerations between 2008 and 2012. With regard to medical ethical approval in the Netherlands, as Dutch legislation did not require ethical permission, we followed procedures as later described by the Ethics Review Board of the Netherlands Association for Medical Education (NVMO). This Review Board was not in place at the time the data were collected. Students were informed in advance of the survey that participation was voluntary and that data would be anonymized and treated confidentially. This study was part of the Gender Challenges in Medical Education Project [25].
Measures
First, we collected students’ demographics including age, sex and marital status. Furthermore, their parents’ educational level was asked, which we regrouped into higher education (higher secondary or vocational school or university), and lower education (intermediate secondary or vocational school, lower secondary or vocational school or primary school). We also asked for parents’ current working hours and dichotomized full-time or part-time work.
Then, students were asked to choose their favourite speciality from a list of seven specialities (internal medicine, psychiatry, neurology, paediatrics, surgery, gynaecology and family medicine) or the options ‘other, namely…’ or ‘I don’t know’. If a student gave more than one answer, we categorized this under ‘I don’t know’. The working hours students would prefer in the future were categorized as full-time or part-time preference, no paid work or ‘I don’t know’. We created a dichotomous variable with a full-time or part-time preference to specify these working hour preferences. A part-time worker has been defined as an ‘employed person whose normal hours of work are less than those of a comparable full-time worker’ [26]. A doctor’s full-time working week is over 40 h. We defined part-time work as less than 36 h.
Students’ opinions about 11 issues on work-life balance, six on career issues, for example ‘The following reason contributes to my speciality choice: possibilities for reconciliation of work and care’, and five on care tasks, for example ‘Do you think that your job and career goals affect your choices regarding having a family?’ These work-life issues were collected and assessed with a 5-point Likert scale (totally disagree = 1 to totally agree = 5). We categorized each work-life issue variable into ‘disagree’ (including ‘totally disagree’, ‘disagree’, ‘neutral’) and ‘agree’ (including ‘agree’, ‘totally agree’), creating a dichotomous variable for further analysis.
Analysis
We analyzed differences between male and female graduates in demographic variables, working hour preferences, work-life issues and speciality choices with Chi square tests (categorical variables) or unpaired t tests (continuous variables).
We used logistic regression modelling with the independent variables sex or a full-time or part-time preference to assess the relation of sex with speciality choice and of a full-time or part-time preference with speciality choice. In addition we modelled the relation of sex or a full-time or part-time preference with work-life issues.
We tested the mediating effect of work-life issues on the relations between sex and speciality choice or between a full-time or part-time preference and speciality choice using a method as proposed by Baron and Kenny [27]. Speciality preference was considered to be the dependent variable, work-life issues were the mediators, and sex or full time or part time were the independent variables. For mediation, three conditions had to be met: the independent variables had to be significantly related to the potential mediator, the mediator had to be significantly related to the dependent variable and the independent variables had to be significantly associated with the dependent variable. Mediation analysis was therefore only conducted were these relations became apparent in the preceding logistic analyses. Subsequently, the results of two separate regressions were compared; the dependent variable regressed on the independent variables, and the dependent variable regressed on the independent variables and the mediator. In order for mediation to be established, the odds ratios obtained from the latter model must be smaller than those from the first model. We assumed some form of mediation if the effect of work-life issues on speciality choice remained significant after controlling for sex or work-life issues. If sex or full-time or part-time preference were no longer significant after introducing work-life issues into the model, this finding supported full mediation; if the relation between sex or working hours and speciality choice remained significant partial mediation was supported.
In all tests the significance level was set on p < 0.05. For statistical analysis the software IBM SPSS statistics 20 was used.