Canadian women in otolaryngology: Head and neck surgery part 2—challenges in family planning, fertility, and lactation
Bibliographic record
Abstract
BACKGROUND: Previous literature demonstrates that female surgeons face difficulties in family planning, meeting breastfeeding goals, leadership and advancement opportunities. These issues have received limited attention in Canadian surgeons despite different maternity leave patterns compared to the general Canadian population. We sought to describe the experience of otolaryngologist-head and neck surgeons in family planning, fertility, and lactation and to identify the role of gender and career stage in these experiences. METHODS: survey was disseminated to Canadian otolaryngology-head and neck surgeons and residents from March to May of 2021 through social media and the national listserv. This survey examined fertility, pregnancy losses, and infant feeding. Major independent variables include gender and career stage (faculty and resident). Dependent variables include respondent experiences with fertility, number of children, and length of parental leave. Responses were tabulated and presented descriptively to communicate the experience of Canadian otolaryngologists. Further, statistical comparisons such as chi-square and t-tests were employed to identify relationships between these variables. Thematic analysis was conducted for narrative comments. RESULTS: We received 183 completed surveys (22% response rate). 54% of females versus 13% of males agreed that career influenced their ability to have children (p = 0.002). 74% of female respondents without children have concerns about future fertility compared to 4% of men (p < 0.001). Furthermore, 80% of women versus 20% of men have concerns about future family planning (p < 0.001). The average maternity leave was 11.5 weeks for residents, and 22.2 weeks for staff. Additionally, significantly more women than men stated that maternity leave impacted advancement opportunities (32% vs. 7%) and salary/remuneration (71% vs. 24%) (p < 0.001). Over 60% of those choosing to pump breastmilk at work reported having inadequate time, space, and breastmilk storage. In total, 62% of breastfed infants were receiving breastmilk at 1 year. CONCLUSION: Canadian female otolaryngologists-head and neck surgeons face challenges in family planning, ability to conceive, and breastfeeding. Focused effort is required to provide an inclusive environment that helps all otolaryngologists-head and neck surgeons achieve both their career and family goals, regardless of gender or career stage.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".