| Literature DB >> 28851430 |
Sarah Chorfi1, Joseph S Schwartz2, Neil Verma3, Meredith Young4,5, Lawrence Joseph6, Lily H P Nguyen2,4.
Abstract
BACKGROUND: The proportion of females enrolling into medical schools has been growing steadily. However, the representation of female residents among individual specialties has shown considerable variation. The purpose of this study was to compare the trends of gender representation in Otolaryngology - Head and Neck Surgery (OTL-HNS) residency programs with other specialty training programs in Canada. In order to contextualize these findings, a second phase of analysis examined the success rate of applicants of different genders to OTL-HNS residency programs.Entities:
Keywords: Diversity; Female; Gender; Minority; Otolaryngology; Residents
Mesh:
Year: 2017 PMID: 28851430 PMCID: PMC5576270 DOI: 10.1186/s40463-017-0232-0
Source DB: PubMed Journal: J Otolaryngol Head Neck Surg ISSN: 1916-0208
Fig. 1Female representation in OTL-HNS vs larger residency programs. Between 1990 and 2014, the proportion of female residents was averaged over four-year intervals for OTL-HNS and larger residency programs. The averaged data was plotted as a function of time from 1990 to 2014
Gender-specific growth rates in OTL-HNS versus larger residency programs
| Specialty | Annual growth rates (percentage/year) [95% credible intervals] | ||
|---|---|---|---|
| Female | Male | Difference | |
| OTL-HNS | 8.2 [6.5, 10.1] | 5.5 [4.1, 6.9] | 2.7 [0.9, 4.7] |
| Anesthesiology | 6.8 [5.8, 7.7] | 4.8 [4.0, 5.5] | 2.0 [0.8, 3.2] |
| Family Medicine | 4.5 [4.2, 4.7] | 2.1 [1.8, 2.4] | 2.4 [2.0, 2.7] |
| General Surgery | 3.5 [2.7, 4.3] | −0.68 [−1.3, −0.1] | 4.19 [3.1, 5.2] |
| Internal Medicine | 5.0 [4.6, 5.5] | 2.5 [2.1, 2.9] | 2.5 [1.9, 3.1] |
| Pediatrics | 5.6 [4.9, 6.2] | 1.8 [0.8, 2.7] | 3.8 [2.7 5.0] |
| Psychiatry | 6.2 [5.6, 6.9] | 4.7 [3.9, 5.4] | 1.5 [0.5, 2.5] |
Data collected from both CaRMS and CAPER regarding the number of female and male applicants in OTL-HNS and selected larger residency programs was averaged between 1990 and 2014. Gender-specific differences in growth rate were calculated for each specific program
Gender-specific growth rates in OTL-HNS versus surgical subspecialty programs
| Specialty | Annual growth rates (percentage/year) [95% credible intervals] | ||
|---|---|---|---|
| Female | Male | Difference | |
| OTL-HNS | 8.2 [6.5, 10.1] | 5.5 [4.1, 6.9] | 2.7 [0.9, 4.7] |
| Cardiac surgery | 5.1 [1.4, 9.2] | 2.4 [−0.88, 5.7] | 2.7 [0.3, 5.7] |
| Neurosurgery | 6.0 [3.4, 8.5] | 3.9 [2.2, 5.6] | 2.2 [−0.5, 4.1] |
| Ophthalmology | 6.9 [5.3, 8.5] | 4.5 [3.2, 5.7] | 2.5 [0.6, 4.2] |
| Orthopedics | 9.2 [7.5, 10.9] | 6.4 [5.5, 7.3] | 2.8 [1.1, 4.6] |
| Plastic surgery | 8.8 [6.4, 11.6] | 5.1 [3, 7.1] | 3.6 [1.5, 7] |
| Urology | 8.0 [5.8, 10.2] | 5.7 [4.3, 7.1] | 2.4 [0.1, 4.4] |
Data collected from both CaRMS and CAPER regarding the number of female and male applicants in OTL-HNS and selected surgical specialty programs was averaged between 1990 and 2014. Gender-specific differences in growth rate were calculated for each specific program
Fig. 2Female representation in OTL-HNS vs surgical subpecialty programs. Between 1990 and 2014, the proportion of female residents was averaged over 4 year intervals. This process was applied to OTL-HNS and surgical subspecialty programs of similar size. The averaged data was plotted as a function of time from 1990 to 2014
Fig. 3Acceptance rates among first choice applicants to Canadian OTL-HNS programs. Between 2006 and 2014, the proportion of either males or females who ranked OTL-HNS as their first-choice and were accepted into postgraduate residency programs was tabulated. These results were computed according to gender and gender-specific acceptance rates were plotted over this period of time
Fig. 4Trends of female representation and acceptance rates in OTL-HNS. Between 2006 and 2014, the proportion of females among all applicants that ranked OTL-HNS as their first choice was calculated and plotted. The proportion of female applicants to OTL-HNS that successfully matched to OTL-HNS postgraduate residency programs was also plotted between 2006 and 2014. The average of all acceptance rates between 2006 and 2014 was also plotted
Acceptance rates among first choice applicants to OTL-HNS programs
| Year | Applicant 1st Choice | Matched 1st Choice | Success Rate Female (%) | Success Rate Males (%) | ||
|---|---|---|---|---|---|---|
| Female | Male | Female | Male | |||
| 2006 | 15 | 20 | 7 | 6 | 46.7 | 30.0 |
| 2007 | 19 | 31 | 5 | 11 | 26.3 | 35.5 |
| 2008 | 18 | 26 | 7 | 11 | 38.9 | 42.3 |
| 2009 | 24 | 27 | 9 | 10 | 37.5 | 37.0 |
| 2010 | 19 | 26 | 7 | 11 | 36.8 | 42.3 |
| 2011 | 25 | 22 | 12 | 10 | 48.0 | 45.5 |
| 2012 | 24 | 33 | 8 | 15 | 33.3 | 45.5 |
| 2013 | 16 | 27 | 2 | 14 | 12.5 | 51.9 |
| 2014 | 15 | 23 | 4 | 10 | 26.7 | 43.5 |
| Average | 19.4 | 26.1 | 6.8 | 10.9 | 34.1 | 41.5 |
Between 2006 and 2014, the proportion of either males or females who ranked OTL-HNS as their first-choice and were accepted into postgraduate residency programs was tabulated. Gender-specific success rates were calculated for each year along with an average success rate
Fig. 5Female acceptance rates into OTL-HNS Canadian universities. Between 2006 and 2014, the proportion of females among all applicants to OTL-HNS that were accepted into postgraduate residency programs was collected for 13 individual Canadian universities. Data from universities were anonymized and plotted in increasing order