| Literature DB >> 24895104 |
Patrick Dielissen1, Petra Verdonk, Magreet Wieringa-de Waard, Ben Bottema, Toine Lagro-Janssen.
Abstract
The purpose of this study is to compare the change in general practitioner (GP) trainees' gender awareness following a modular gender medicine programme or a mainstream gender medicine programme. In 2007, a prospective study was conducted in three cohorts of in total 207 GP trainees who entered GP training in the Netherlands. The outcome measure was the Nijmegen Gender Awareness in Medicine Scale and a 16-item gender knowledge questionnaire. Two gender medicine teaching methods were compared: a modular approach (n = 75) versus a mainstream approach (n = 72). Both strategies were compared with a control cohort (n = 60). Statistical analysis included analysis of variance and t-tests. The overall response rates for the modular, mainstream and control cohort were 78, 72 and 82 %, respectively. There was a significant difference in change in gender knowledge scores between the modular cohort compared with the mainstream and control cohort (p = 0.049). There were no statistical differences between the cohorts on gender sensitivity and gender role ideology. At entry and end, female GP trainees demonstrated significantly higher gender awareness than male GP trainees. A modular teaching method is not a more favourable educational method to teach gender medicine in GP training. Female GP trainees are more gender aware, but male GP trainees are not unaware of gender-related issues.Entities:
Year: 2014 PMID: 24895104 PMCID: PMC4235812 DOI: 10.1007/s40037-014-0122-3
Source DB: PubMed Journal: Perspect Med Educ ISSN: 2212-2761
Principles and content of gender medicine education
| Modular cohort | Mainstream cohort | Control cohort | |
|---|---|---|---|
| Principles for teaching | Biopsychosocial perspective | Biomedical perspective | – |
| Knowledge, attitude and skills | Knowledge | – | |
| Multiple educational activities | Multiple educational activities | – | |
| GP supervisor with content expertise | GP supervisor | GP supervisor with content expertise | |
| Extended over time | Extended over time | – | |
| Encourage reflection | – | – | |
| Content of training | Gender socializationa | Gender socializationa | Domestic violenceb |
| Gender and doctor-patient communicationa | Gender in sexually transmitted diseasea | Sexual abuseb | |
| Gender and mental disordersb | Gender in doctor-patient communicationa | Acute topics in women’s healthb | |
| Gender and cardiovascular diseasec | Gender and depressionb | ||
| Gender and intimate partner abusec | Gender and domestic violenceb | ||
| Gender and cardiovascular diseasec | |||
| Gender in medically unexplained symptomsc |
a Year 1; b year 2; c year 3
The main factors of the modular gender medicine curriculum in GP training in Nijmegen
| Tutorial theme | Main objectives | Teaching methods |
|---|---|---|
| 1. Gender and socialization | 1. Be able to understand the concept of gender | A discourse on the subject (lecture) |
| 2. Be able to initiate a gender perspective in medical encounters | Group analysis of a video consultation | |
| 3. Awareness of the existence of gender socialization and its implications for health issues | Group reflection on subject with regard to content and process | |
| 2. Gender and communication | 1. Understanding of the influence of gender in doctor-patient communication | A discourse on the subject (lecture) |
| 2. Understanding of how gender influences the process of medical decision-making | Role play with simulation patients | |
| 3. Demonstrating gender-sensitive doctor-patient communication | Group reflection on subject with regard to content and process | |
| 3. Gender and psychiatric disorders | 1. Be able to describe gender differences in depression, anxiety disorders, and substance abuse | A discourse on the subject (a lecture) |
| 2. Be able to identify gender differences in social expectations with regard to substance abuse | Group reflection on subject with regard to content and process | |
| 3. Be able to recognize male and female presentation and coping in depression and alcohol abuse | Analysis of case reports | |
| 4. Gender and cardiovascular diseases/urinary incontinence | 1. Be able to understand the gender bias in the care of patients with cardiovascular disease | Pretest to assess gender knowledge |
| 2. A willingness and ability to minimize the effect of gender bias in cardiovascular disease management | A lecture on gender differences | |
| 3. Be able to describe and recognize the gender differences in presentation and management of urinary incontinence | Group analysis of a ideo consultation | |
| 5. Gender and sexual abuse | 1. Be able to describe the patterns and common presentations of sexual violence | A discourse on the subject (lecture) |
| 2. To increase awareness of sexual violence, potential gender prejudices, and consultation skills | Role play with simulation patients | |
| 3. Be able to demonstrate gender-sensitive consultation skills to promote case-finding of sexual abused patients | Group reflection on subject with regard to content and process |
Socio-demographic characteristics of the cohorts at entry
| Modular | Mainstream | Control |
| |
|---|---|---|---|---|
| N = 72 | N = 72 | N = 60 | ||
| Female (%) | 47 (65.3) | 55 (76.4) | 37 (61.7) | 0.160 |
| Age (mean, SD) | 29.8 (4.2) | 29.5 (3.7) | 29.6 (4.3) | 0.936 |
|
| ||||
| Western | 64 (88.9) | 66 (91.7) | 53 (88.3) | 0.527 |
| Non-Western | 5 (6.9) | 2 (2.8) | 3 (5.0) | |
| Unknown | 3 (4.2) | 4 (5.6) | 4 (6.7) | |
| Hospital working experience (%) | 36 (50.0) | 40 (55.6) | 29 (48.3) | 0.824 |
| Out of hospital working experience (%) | 9 (12.5) | 10 (13.9) | 12 (20.0) | |
| Both | 16 (22.2) | 10 (13.9) | 8 (13.3) | |
| Other working experience | 11 (15.3) | 12 (16.7) | 11 (18.3) | |
|
| 0.851 | |||
| <1 year | 24 (33.4) | 20 (27.7) | 24 (40.0) | |
| 1–3 years | 29 (40.3) | 42 (58.3) | 26 (43.3) | |
| >3 years | 18 (25.0) | 10 (14.0) | 9 (15.0) | |
| Unknown | 1 (1.3) | 0 | 1 (1.7) | |
| Former gender education (%) | 44 (61.1) | 20 (27.8) | 26 (43.3) | 0.000b |
| No former gender education (%) | 28 (38.9) | 51 (70.8) | 33 (55.0) | |
| Unknown | 0 | 1 (1.4) | 1 (1.7) | |
aOne-way ANOVA (means) or Chi square (percentages)
b p < 0.05; comparison statistical significant
Socio-demographic characteristics and N-GAMS subscales scores of three study cohorts
| Modular cohort | N = 48 | Mainstream cohort | N = 45 | Control cohort | N = 45 |
| Eta squared | |
|---|---|---|---|---|---|---|---|---|
| 2007 | 2011 | 2007 | 2011 | 2007 | 2011 | |||
| Age, mean years (SD) | 29.6 (4.2) | 31.7 (4.5) | 29.5 (3.7) | 32.4 (3.7) | 29.1 (4.3) | 32.0 (4.1) | 0.840 | |
| Gender, female (%) | 32 (66.7) | 34 (75.6) | 33 (70.2) | 0.639 | ||||
| Western ethnicity, number (%) | 44 (91.6) | 42 (97.6) | 41 (95.5) | 0.435 | ||||
| Working experience, mean years | 2.50 | 2.49 | 2.38 | 0.963 | ||||
| Previous gender education (%) | 62.5 | 100 | 27.3 | 77.8 | 45.7 | 68.1 | 0.003b | |
| Gender sensitivity, mean (SD) | 3.78 (0.38) | 3.98 (0.35) | 3.70 (0.36) | 3.83 (0.52) | 3.65 (0.37) | 3.80 (0.32) | 0.679 | 0.006 |
| Mean change in scorea | 0.20b | 0.13 | 0.15b | |||||
| GRI patients, mean (SD) | 2.42 (0.59) | 2.42 (0.48) | 2.04 (0.56) | 2.21 (0.63) | 2.20 (0.59) | 2.45 (0.60) | 0.138 | 0.029 |
| Mean change in scorea | 0.00 | 0.17 | 0.25b | |||||
| GRI doctors, mean (SD) | 2.41 (0.42) | 2.50 (0.45) | 2.19 (0.47) | 2.50 (0.73) | 2.30 (0.47) | 2.50 (0.56) | 0.288 | 0.018 |
| Mean change in scorea | 0.09 | 0.21b | 0.20b | |||||
| Gender knowledge, mean (SD) | 10.25 (1.59) | 11.64 (1.60) | 10.47 (1.84) | 10.80 (1.64) | 9.82 (1.40) | 11.08 (1.69) | 0.049b | 0.043 |
| Mean change in scorea | 1.39b | 0.33 | 1.26b |
One-way ANOVA (means) or Chi square (percentages); to test whether means between cohorts differ
GRI gender role ideology (gender stereotyping)
aDependent Student’s t test; to test of whether means within cohort differ
b p < 0.05; comparisons significant, otherwise all comparisons non-significant
Gender differences on N-GAMS and gender knowledge scores
| Gender sensitivity | GRI patients | GRI doctors | Gender knowledge | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| F | M |
| F | M |
| F | M |
| F | M |
| |
| Entry | 3.8 | 3.6 | 0.003b | 2.2 | 2.4 | 0.018b | 2.3 | 2.3 | 0.70 | 10.3 | 9.9 | 0.16 |
| End | 3.9 | 3.7 | 0.002b | 2.3 | 2.6 | 0.001b | 2.5 | 2.6 | 0.17 | 11.1 | 11.4 | 0.25 |
aIndependent Student’s t-test; to test whether means between females and males differ
b p < 0.05; comparison statistically significant