Table 2.
Specialty group | Men (n=1340) | Women (n=1192) | Total (n=2532) | P value * |
---|---|---|---|---|
General practice | 443 (33.0) | 528 (44.3) | 971 (38.3) | <0.01 |
Medical specialties | 194 (14.5) | 114 (9.6) | 308 (12.1) | <0.01 |
Paediatrics | 46 (3.4) | 78 (6.5) | 124 (4.9) | <0.01 |
Accident and emergency | 24 (1.8) | 37 (3.1) | 61 (2.4) | <0.05 |
Surgical specialties | 212 (15.8) | 40 (3.4) | 252 (9.9) | <0.01 |
Obstetrics and gynaecology | 57 (4.2) | 48 (4.0) | 105 (4.1) | NS |
Anaesthetics | 138 (10.3) | 89 (7.5) | 227 (9.0) | <0.05 |
Radiology | 40 (3.0) | 23 (1.9) | 63 (2.5) | NS |
Clinical oncology | 11 (0.8) | 21 (1.8) | 32 (1.3) | NS |
Pathology | 40 (3.0) | 27 (2.3) | 67 (2.6) | NS |
Psychiatry | 84 (6.3) | 115 (9.6) | 199 (7.9) | <0.01 |
Community health | 7 (0.5) | 30 (2.5) | 37 (1.5) | <0.01 |
Public health medicine | 16 (1.2) | 21 (1.8) | 37 (1.5) | NS |
Other specialties | 28 (2.2) | 21 (1.8) | 49 (2.0) | NS |
NS=not significant (P⩾0.05).
χ2 test for sex difference in percentage working in each specialty.