Assessment of Menopausal Women Performance regarding Vulvar Self Examination
Bibliographic record
Abstract
Background: Vulvar self-examination can help the women to discover the presence of any abnormality and important to recognize any physical change. Aim: To assess of menopausal women performance regarding vulvar self-examination. Design: A descriptive research design was used to conduct the study. Setting: The study was conducted at obstetrics and gynecological clinic at Arab Contractors Medical Center. Sample: A purposive sample of 110 menopausal women who attended at Arab Contractors Medical Center. Tools of Data Collection: Tool I; Knowledge assessment questionnaire, to assess menopausal women knowledge regarding vulvar self-examination. Tool II; Practical self-assessment checklist, to assess Menopausal women’s practice regarding vulvar self- examination. Results: More than three quarter of menopausal women had poor knowledge, and less than one quarter had average and good knowledge about vulvar self-examination. In addition, more than half of the menopausal women had examined their vulva incorrectly and less than one quarter of menopausal women had examined their vulva correctly. There was a strong positive correlation between women's knowledge and their practice regarding vulvar self-examination. Conclusion: Vulvar self-examination can help in early detection of any abnormalities and no delay to become severely. Recommendations: Design educational program to raise menopausal women awareness regarding to the symptoms required to perform vulvar self-examination
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How this classification was reachedexpand
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".