Bibliographic record
Abstract
Introduction: Following the 2022 overturning of Roe v. Wade and gradual ease of COVID era restrictions, the rate of men seeking vasectomy has been reported higher.At the same time, post-vasectomy followup has historically been poor due to problems with patient compliance.In response, we developed and implemented a structured clinical pathway designed to improve efficiency, reduce unplanned clinic contact, and maximize followup adherence.This study aimed to evaluate the initial effectiveness of that pathway.Methods: We retrospectively reviewed patients who sought vasectomy consultation between May 2023 and December 2024.All procedures were performed by a single surgeon.Data collected included pathway completion, unplanned calls or visits (UPC), and responses to patient surveys regarding their own preparation, experience, and decision-making factors.Results: Of 364 men who presented for consultation, 241 (66%) underwent vasectomy and 190 (52%) completed the full clinical pathway.The most common reason for not proceeding with vasectomy was reconsideration of family planning (46%).Only 3% of respondents cited the supreme court decision as a factor in their choice, with just one individual identifying it as the primary reason for considering vasectomy.Among those who went through with vasectomy, 190 (78.8%) completed a post-vasectomy semen analysis, and 140 (58%) attended a followup visit.Most patients reported resolution of bruising or swelling within two weeks (92%), and 72% felt fully recovered within the same timeframe.UPC occurred in 13% of cases and was consistent throughout the study period.Nursing followup phone calls did not alter this rate.The most common reasons for UPCs included swelling, pain, and incision-or suture-related concerns.Conclusions: After initial review of the implemented pathway, UPC rates were consistent, and followup compliance was strong.Only 3% of NY men cited the supreme court decision was involved in their vasectomy interest.A surprising (34%) number of men did not proceed from vasectomy consultation to the procedure.Future work will address lowering UPC and increasing progression to vasectomy procedure.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.497 | 0.173 |
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".