The Impact of the Ontario Fertility Program on Duplicate Fertility Consultations
Bibliographic record
Abstract
Objectives: The Ontario Fertility Program (OFP) funds 5,000 annual in vitro fertilization (IVF) cycles. We hypothesized that after introduction of the OFP, there would be an increase in duplicate infertility consultations by patients attempting to increase chances at obtaining publicly funded IVF through enlisting at multiple fertility clinics. Methods: This retrospective observational study included women eligible for healthcare services in Ontario from 2014 to 2016 and compared infertility consultations pre- and post-initiation of the OFP. Results: Post-OFP, the average number of consultations per patient and the proportion of patients with more than one consult increased (1.04 vs. 1.05, p = 0.015 and 3.8% vs. 4.2%, p = 0.027, respectively). Total consultations for infertility increased from 24,565 to 27,714 post-OFP. The OFP had the largest impact in the Greater Toronto Area (GTA). Conclusion: The OFP resulted in a statistically significant increase in duplicate consultations, although unlikely to be of clinical relevance. The disproportionate impact seen in the GTA highlights the inequitable access to fertility care in Ontario.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".