Attitudes and approaches to vaginal atrophy in postmenopausal women: a focus group qualitative study
Bibliographic record
Abstract
OBJECTIVE: The impact of postmenopausal vaginal atrophy and women's coping strategies were evaluated through international focus groups. METHODS: Three-hour focus groups of three to five postmenopausal women who had symptoms of vaginal atrophy but had not sought treatment were conducted in Canada, Sweden, the United States, and the United Kingdom. Participants were asked about their experience with menopause and vaginal atrophy, including use of non-prescription treatments and their interactions with health-care providers. Women were classified as one of five personality types, based on their interaction with the world (individualism or belonging) and strategies for coping with stress (control or liberation). RESULTS: Vaginal atrophy was not recognized as a medical condition by focus group participants, and women had not used treatments for vaginal atrophy apart from non-prescription lubricants. Women who had discussed vaginal atrophy symptoms with their doctor felt their concerns were dismissed as a normal part of aging, and they did not receive counseling about treatment options such as low-dose estrogen therapy. Those whose coping strategy involved dominance, combatting, or individualism were more likely to seek treatment than those whose strategy involved submission, acceptance, or belonging. Women who used control to cope with menopausal changes were more likely to respond to information validated by perceived experts than were those who used a strategy of release. CONCLUSIONS: Women's reactions to their vaginal atrophy varied according to personality. Use of a personality-based approach to patient counseling may encourage patients to discuss vaginal atrophy with their health-care provider and seek treatment.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".