| Literature DB >> 25890026 |
Pilar Arrizabalaga1,2,3, Rosa Abellana4,5, Odette Viñas6, Anna Merino7,8, Carlos Ascaso9,10.
Abstract
BACKGROUND: The feminization of medicine has risen dramatically over the past decades. The aim of this article was to compare the advance of women with that of men and determine the differences between hierarchical status and professional recognition achieved by women in medicine.Entities:
Mesh:
Year: 2015 PMID: 25890026 PMCID: PMC4415310 DOI: 10.1186/s12960-015-0008-4
Source DB: PubMed Journal: Hum Resour Health ISSN: 1478-4491
Figure 1Ratio between proportion of women and proportion of men according to the hierarchal medical positions in each year of the study.
Figure 2Number and percentage of women and men doctors with and without hierarchal position according to the medical specialty.
Characteristics of professional career (PC) promotion at the Hospital Clínic from 1996 to 2008
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| Senior specialist | Men | 492 | 267 (54.3) | 0.413 | 45.98 (6.88) | 0.936 | 1.68 (1.03) | 0.169 |
| Women | 286 | 146 (51.0) | 45.87 (5.89) | 1.80 (1.08) | ||||
| Consultant | Men | 315 | 156 (49.5) | 0.010 | 50.93 (6.00) | 0.044 | 1.55 (0.78) | 0.118 |
| Women | 174 | 65 (37.4) | 51.53 (5.96) | 1.80 (1.11) | ||||
| Senior consultant | Men | 219 | 108 (49.3) | 0.875 | 56.98 (5.46) | 0.068 | 1.30 (0.77) | 0.029 |
| Women | 48 | 23 (47.9) | 56.18 (4.48) | 1.59 (0.91) |
aNumber of promotions and percentage between brackets.
bMean and standard deviation, between brackets, of the years when they are promoted.
cMean and standard deviation, between brackets, of the number of calls to which they must apply for promotion.
Figure 3Ratio between proportion of women doctors and proportion of men doctors according to the grade of professional career promotion in each year of the study.
Variables relating to the probabilities of promotion according to the generalized estimated equation (GEE)
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| 0.955 417 895 | 0.255 786 186 |
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| −0.222 875 922 | 0.135 614 955 |
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| −0.064 278 247 | 0.412 122 598 |
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| −2.020 881 817 | 0.665 477 787 |
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| −0.605 994 396 | 0.037 185 707 |
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| −0.398 066 411 | 0.011 967 823 |
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| −0.385 661 872 | 0.272 070 952 |
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| 0.171 573 637 | 0.235 407 444 |
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| 0.035 426 149 | 0.019 260 666 |
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| 1.478 049 384 | 0.480 925 713 |
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| 0.102 782 104 | 0.740 428 923 |
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| 1.472 276 046 | 0.419 162 871 |
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| 0.318 933 210 | 0.671 786 702 |
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| −0.138 421 595 | 0.047 412 627 |
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| −0.093 635 915 | 0.060 024 332 |
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| −0.008 454 499 | 0.002 762 399 |
Y = μ + β 1 Women + β 2 Consultant + β 3 Senior Consultant + β 4 Year + β 5 Age + β 6 Parity + β 7 Masculinised + β 8 Women * Age + β 9 Consultant * Parity + β 10 Senior Consultant * Parity + β 11 Consultant * Masculinised + β 12 Senior Consultant* Masculinised + β 13 Consultant * Age + β 14 Senior Consultant * Age + β 15 Year * Age.
Probabilities of PC promotion predicted by the generalized estimated equation (GEE) model with continuous variables (age and year) supposedly focused
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| Men | Senior specialist | Feminized | 0.722 203 5 |
| Women | Senior specialist | Feminized | 0.675 362 8 |
| Men | Consultant | Feminized | 0.256 266 7 |
| Women | Consultant | Feminized | 0.216 133 9 |
| Men | Senior consultant | Feminized | 0.586 477 8 |
| Women | Senior consultant | Feminized | 0.531 594 7 |
| Men | Senior specialist | Parity | 0.635 839 5 |
| Women | Senior specialist | Parity | 0.582 847 9 |
| Men | Consultant | Parity | 0.503 629 7 |
| Women | Consultant | Parity | 0.448 098 4 |
| Men | Senior consultant | Parity | 0.513 531 5 |
| Women | Senior consultant | Parity | 0.457 915 6 |
| Men | Senior specialist | Masculinised | 0.638 706 9 |
| Women | Senior specialist | Masculinised | 0.585 860 8 |
| Men | Consultant | Masculinised | 0.505 287 4 |
| Women | Consultant | Masculinised | 0.449 738 9 |
| Men | Senior consultant | Masculinised | 0.570 206 8 |
| Women | Senior consultant | Masculinised | 0.514 950 3 |