Preferences of Adolescents and Young Adults With Epilepsy and Caregivers on Reproductive Health Counseling by Neurologists: A Concept Mapping Study
Bibliographic record
Abstract
OBJECTIVE: To ascertain reproductive health counseling priorities of adolescent and young adult women with epilepsy (AWWE) and caregivers during neurology visits. METHODS: We recruited AWWE aged 14-26 years and caregivers from institutional neurology clinics, a research registry, and epilepsy listservs for a Concept Mapping study. Participants (1) brainstormed topics important for counseling of AWWE about reproductive health, (2) sorted topics into categories and rated their importance (on a five-point Likert scale) for AWWE aged 14-17 and 18-26 years, and (3) met to interpret study findings. We included a small subset of the participants in the interpretation meeting to allow meaningful discussion. RESULTS: Thirty-four AWWE and 20 caregivers generated 37 topics, which were sorted/rated by 35 AWWE and 23 caregivers; seven AWWE and nine caregivers attended the interpretation meeting. Consensus categories included "Hormonal Changes," "Contraception," "Sex & Epilepsy," "Preparing for Pregnancy," "Pregnancy with Epilepsy," and "Parenthood & Epilepsy." For ages 14-17 years, categories rated at least 4.00 for importance included "Hormonal Changes," "Contraception," "Sex and Epilepsy," and "Preparing for Pregnancy." For ages 18-26 years, all categories were rated at least 4.00. In the interpretation meeting, participants proposed a previsit checklist tool to indicate topics of interest. CONCLUSIONS: AWWE want counseling about reproductive health from neurologists that is tailored by age and more comprehensive than current American Academy of Neurology recommendations. Use of a previsit checklist tool may help identify individual patient and family counseling priorities.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".