A descriptive analysis of a fertility services waitlist in Eastern Canada
Bibliographic record
Abstract
ABSTRACT Objective Infertility is common and impacts quality of life. Maternal age is an important factor in fertility status, and therefore, timely access to care is critical. Long waits for specialist care remain a reality in Canada, representing an opportunity for early intervention. This study aimed to characterize the population seeking infertility care in Newfoundland and Labrador (NL). Methods A province-wide, cross-sectional analysis of referrals to Newfoundland and Labrador Fertility Services (NLFS) was conducted. De-identified data were extracted from patient records. Descriptive analyses of the reason for referral, provincial geographical health zone, and female age, and a comparison of the age of patients referred across the province were completed. Historical live birth data were used to adjust for population differences. Results There were 317 eligible referrals received by NLFS over a six-month period. The most common reason for referral was infertility (n=221, 70%). The overall mean age of referred females was 33.09 years ( SD =5.03). The Eastern-Urban region had the highest number of referrals (n=145, 66%), which was greater than expected based on live birth rates ( p ≤.001). Patients referred from areas outside of the Eastern-Urban region were younger ( p ≤.001). Conclusion Infertility was the most common reason for referral. The age of females referred for infertility emphasizes the need for prompt intervention. There were differences in referral patterns across the province, including a disproportionately high referral rate in the Eastern-Urban region.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".