| Literature DB >> 30453953 |
Emelie Kristoffersson1,2, Saima Diderichsen3, Petra Verdonk4, Toine Lagro-Janssen5, Katarina Hamberg3, Jenny Andersson3.
Abstract
BACKGROUND: The literature investigating female and male medical students' differing career intentions is extensive. However, medical school experiences and their implications for professional identity formation and specialty choice have attracted less attention. In this study we explore the impact of medical school experiences on students' specialty preferences, investigate gender similarities and differences, and discuss how both might be related to gender segregation in specialty preference.Entities:
Keywords: Medical students; Mixed methods; Professional identity formation; Sexism; Specialty preference
Mesh:
Year: 2018 PMID: 30453953 PMCID: PMC6245780 DOI: 10.1186/s12909-018-1361-5
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Socio-demographics of the 250 included female and male students
| Category | Variable | All | Women | Men |
|---|---|---|---|---|
| Age | Range: 23–55 | Range: 23–55 | Range: 23–49 | |
| Civil status | Not cohabiting | 102 (40.8) | 58 (39.7) | 44 (42.3) |
| Cohabiting/married | 148 (59.2) | 88 (60.3) | 60 (57.7) | |
| Children | No | 214 (85.6) | 127 (87.0) | 87 (83.7) |
| Yes | 36 (14.4) | 19 (13.0) | 17 (16.3) | |
| Sexual orientation | Heterosexual | 235 (94.0) | 135 (92.5) | 100 (96.2) |
| Homo, bi, or queer | 15 (6.0) | 11 (7.5) | 4 (3.8) | |
| Country of birth | Sweden | 233 (93.2) | 138 (94.5) | 95 (91.3) |
| Other than Sweden | 17 (6.8) | 8 (5.5) | 9 (8.7) | |
| Parents’ country of birth other than Sweden | Both | 18 (7.2) | 9 (6.2) | 9 (8.7) |
| One | 16 (6.4) | 12 (8.2) | 4 (3.8) | |
| None | 216 (86.4) | 125 (85.6) | 91 (87.5) | |
| Parents with higher educationa | Both | 167 (66.8) | 97 (66.4) | 70 (67.3) |
| One | 52 (20.8) | 34 (23.3) | 18 (17.3) | |
| None | 30 (12.0) | 14 (9.6) | 16 (15.4) | |
| Parents’ occupation physician | Both | 6 (2.4) | 3 (2.1) | 3 (2.9) |
| One | 50 (20.0) | 32 (21.9) | 18 (17.3) | |
| None | 194 (77.6) | 111 (76.0) | 83 (79.8) |
aAnswer from one female student missing
Themes, categories, category descriptions and examples of quotes included in each category
| THEME/category | Description | Quotes interested | Quotes uninterested |
|---|---|---|---|
| The character of work suits me | |||
| Knowledge area and practice | Area of knowledge, routine work or specific work tasks. Own talent, previous work, studies, research or personal experiences. | “I felt like I had a talent for image interpretation”, “my interest in geriatrics began when I started my first job as a nursing assistant” | “Endless rounds where the question is half a pill here or there”, “seems boring to attach bowels for hours”, “it was smelly and slimy” |
| Patient characteristics and patient contact | Patient groups perceived as ungrateful or rewarding to work with. Amount of patient contact, variation and continuity. Memorable patient encounters. | “I got a lot back from the patients, even though it was often burdensome”, “restoring a fractured wrist and immediately seeing results”. | “large proportion of unmotivated patients”, “old patients with multi morbidity” |
| Values and care ideology | Perceptions of whether care ideology in a specialty is in alignment with personal values, e.g. how patients are treated. Also whether the job would enable students to fulfill own work priorities, e.g. work for the underprivileged. | “holistic approach to patients”, “I have travelled to underserved areas and seen the needs”. | “too much time spent on craftsmanship and too little time talking to patients” |
| Inspiring and inclusive workplace | |||
| Workplace climate | General impressions of workplace climate and attitudes; how physicians treat each other and other staff, communicate or work together. | “friendly workgroup”, “staff who seemed to work as a team”, “supportive colleagues” | “endless days in the operating room listening to macho jargon”, “very bad atmosphere among the physicians on the ward” |
| Supervision and participation | Treatment of students at the clinic; reception, introduction, supervision, feedback practices, and amount of participation. | “including reception”, “student out-patient clinic with engaging supervisor”, “got a lot of praise and felt good” | “unpleasant treatment from male physicians”, “I was placed at the patient’s feet and saw nothing. No one bothered to explain either” |
| Role models | Physician role models to strive after, identify with, or distance from: empathic and devoted, or cold hearted and cynical. | “a talented physician that had an amazing relationship with the patients”, “the physician stayed calm in a chaotic situation” | “a consultant who humiliated the patient”, “a surgery that went wrong, and the way the three surgeons involved tried to resign from responsibility” |
| Matches my work-life priorities | |||
| Workload | Workload in relation to personal circumstances and life style. Working hours, on-call, workload and stress. How the clinic function in terms of leadership, staffing situation and overtime. | “I finished at 16:00 – there were time for other things in life as well!”, “being able to control your own time” | “you have to sacrifice everything else in life”. “being expected to work extra in the evening for free”, “heavy workload and unreasonable demands” |
| Development possibilities | Opportunities for professional development or research. | “A challenge to work with your own preconceptions and communication skills” | “It takes years before you are somewhat autonomous” |
Fig. 1Experiences inducing interest in a specialty. Proportions (%) of answers from male and female students represented in each category #. One answer could include information belonging to more than one category. # Among the 250 students (146 women, 104 men), 220 described events inducing interest (130 women, 90 men) for a specialty. p values calculated using Chi-Square test, the level of significance was set to 0.01. All differences between women and men were non-significant. † Close to significant (p = 0.013)
Fig. 2Experiences inducing uninterest in a specialty. Proportions (%) of answers from male and female students represented in each category #. One answer could include information belonging to more than one category. Among the 250 students (146 women, 104 men), 224 described events inducing non-interest (132 women, 92 men) for a specialty. p values calculated using Chi-Square test, the level of significance was set to 0.01. * p < 0.01; ** p < 0.001