Review of gynecologic and reproductive care for women with developmental disabilities
Bibliographic record
Abstract
PURPOSE OF REVIEW: Care for women with developmental disabilities requires special consideration for unique needs related to their cognitive and physical abilities. These women and their caregivers require more support and guidance during reproductive health care. We review the literature and provide expert opinion surrounding gynecological issues for women with developmental disabilities to support healthcare providers better understand and care for this population. RECENT FINDINGS: Women with developmental disabilities are more vulnerable to abuse and experience poorer gynecological healthcare outcomes. Many women with developmental disabilities are fertile and participate in sexual activity without adequate knowledge. They are at higher risk of pregnancy and birth complications. They are less likely to receive appropriate preventive screening. SUMMARY: The review highlights important issues and practice suggestions related to the reproductive health care of women with developmental disabilities. Topics include clinic visits, menstruation, sexuality, sexual abuse, sexual health education, contraception, sexually transmitted infections, pregnancy, labor and delivery, and cancer screening/prevention. We emphasize the need for an individualized, comprehensive approach for these patients and review perceived and actual barriers to care. More education is needed on the aforementioned topics for women with developmental disabilities, their caregivers, and their providers.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".