Integrating pelvic floor rehabilitation and cognitive-behavioural therapy for sexual pain: what have we learned and were do we go from here?
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
The sexual pain disorders dyspareunia and vaginismus are highly prevalent yet misunderstood women's sexual health problems. We have proposed the adoption of a treatment approach integrating pelvic floor rehabilitation and cognitive-behavioral therapy in order to target the multidimensional aspects of these complex conditions. Looking back on the work that has been published in the area of sexual pain since we introduced this model in 2003, the present paper focuses on the progress that has been achieved since then, with an emphasis on the pelvic floor musculature and psychological factors. Specifically, the continuing debate about the classification of sexual pain is briefly summarized. Findings from treatment outcome research are reported. Growing evidence indicates that pelvic floor rehabilitation and cognitive-behavioral therapy lead to significant improvements in pain and sexual functioning, although there are still only a handful of published randomized controlled trials and only one study focusing on the integration of these two modalities. Recent advances concerning the role of the pelvic floor as well as cognitive and affective variables in the etiology of sexual pain are reviewed, with results showing that higher levels of anxiety, fear of pain, hypervigilance and catastrophizing, in addition to lower levels of self-efficacy, may contribute to the exacerbation of pain and associated sexual dysfunction. In terms of avenues for future research, two new measurement instruments for assessing the pelvic floor musculature are described, namely the dynamometric speculum and transperineal ultrasound. Ongoing challenges involved in the adoption of an integrated treatment approach are discussed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it