Vaginal Health: Insights, Views & Attitudes (VIVA) survey - Canadian cohort
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To evaluate knowledge of vaginal atrophy among postmenopausal women (aged 55-65 years), using the Vaginal Health: Insights, Views & Attitudes (VIVA) survey. METHODS: An independent research organization conducted a quantitative Internet-based survey, to obtain information from 3520 women who were living in the UK, the USA, Canada, Sweden, Denmark, Finland or Norway. Findings from Canada are presented (n = 500). RESULTS: Almost half of Canadian respondents had experienced vaginal discomfort since they had stopped menstruating, most commonly (88%) vaginal dryness; over half (56%) reported having experienced symptoms for three years or longer. Seven percent would have attributed vaginal symptoms to vaginal atrophy. Eighty-two percent of women felt that vaginal discomfort would have a negative impact on various aspects of their lives, most notably sexual intimacy (72%), 'having a loving relationship with a partner' (39%) and 'overall quality of life' (30%). While the majority of women (66%) who had experienced vaginal atrophy eventually sought the assistance of a health-care professional, a considerable proportion (34%) did not. Most women (58%) had tried lubricating gels and creams to treat their symptoms, but many were less aware of specific means of treating the underlying cause. However, compared with systemic hormone replacement therapy, more women indicated that they would consider local estrogen therapy (e.g. vaginal tablets or creams). CONCLUSIONS: These data indicate that many postmenopausal women in Canada have a low understanding of vaginal atrophy. Medical practitioners should proactively initiate dialogue about this chronic condition with their patients, and discuss appropriate treatment options.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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 it