Exploring Reproductive Experiences With Women Enrolled in the International Vasculitis Pregnancy Registry
Bibliographic record
Abstract
OBJECTIVE: This study explored the reproductive journeys of women with vasculitis, including their conversations with healthcare providers, disease activity, medication changes, and delivery experiences. METHODS: Interviews were conducted with women registered in the Vasculitis Pregnancy Registry (VPREG), an online patient-reported registry of pregnant women with vasculitis. A team of physicians, patients, and qualitative researchers developed a qualitative interview guide. Participant responses were evaluated using thematic analysis. RESULTS: Eighteen patients with vasculitis who had experienced pregnancy were interviewed (10 antineutrophil cytoplasmic antibody-associated vasculitis, 4 Takayasu arteritis, 2 Behçet disease, 1 IgA vasculitis, 1 relapsing polychondritis). Thematic analysis revealed common experiences in the decision-making process during pregnancy planning, including accessing information from multiple sources, communicating with medical professionals, and changing treatment for vasculitis. Women sought information about vasculitis and pregnancy from various sources, including social media; however, opinions from their physicians and family members were most influential. Patients were more likely than providers to initiate conversations regarding family planning. Balancing differing opinions from subspecialists was challenging as many patients recalled acting as a liaison between multiple physicians during pregnancy. The need for self-advocacy was a common experience among patients. Most women had pregnancies that resulted in live births with delivery at term. CONCLUSION: When making decisions about pregnancy, women of reproductive age with vasculitis used multiple resources. Patients consistently valued their medical provider's opinion over alternative sources of information. To ensure comprehensive medical care, half of women relied on self-advocacy to coordinate communication among subspecialists. Most women had pregnancies that resulted in live births with delivery at term.
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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 | 0.011 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".