A randomized controlled trial of online mindfulness and cognitive-behavioral interventions for sexual interest/arousal disorder in women: eSense
Bibliographic record
Abstract
Sexual interest/arousal disorder (SIAD) is a common and distressing sexual dysfunction in women. Although efficacious psychological treatments for SIAD exist, they are generally underutilized and inaccessible. eSense is a feasible and useable online intervention containing Cognitive-Behavioral Therapy (CBT) and Mindfulness-Based Therapy (MBT) programs. Our goal was to test the efficacy of the CBT and MBT arms of eSense relative to a waitlist control condition. Women with SIAD were randomized to eSense -CBT ( n = 43), eSense -MBT ( n = 43), or a waitlist ( n = 43). Both interventions consisted of 8 modules with a recommended completion time of 8–12 weeks. Participants also met remotely with non-expert “navigators” for up to 12 weeks. Participants completed validated self-report measures of primary outcomes (sexual desire/arousal and distress) and secondary outcomes (sexual satisfaction, dissatisfaction, and overall sexual function) at baseline, mid-treatment, posttreatment, and 6-month posttreatment. Compared to waitlist, both active treatment groups reported significant improvements in primary outcomes at post-treatment (desire/arousal d > .90; sexual distress d < −0.62) and these improvements were generally maintained at follow-up. The two active treatments did not differ in terms of primary outcomes. Effects on sexual satisfaction were also significant ( d = 0.70–0.81) and MBT resulted in slightly greater improvements. There was no effect on sexual dissatisfaction. For overall sexual function, the effect was large ( d = 1.20 to 1.23) with no between-arm differences. Future steps to improve engagement and increase access are discussed. Keywords: digital health; sexual interest/arousal disorder; mindfulness-based therapy; cognitive behavioral therapy; sexual dysfunction. Public health significance : This study strongly suggests that eSense is an efficacious digital health tool that holds much potential to improve accessibility for the treatment of SIAD. • eSense , an online program for sexual dysfunction in women, can be used alongside non-expert support. • eSense resulted in significant improvement in key symptoms of sexual dysfunction over and above a waitlist, and these improvements were maintained for 6 months. • There was little difference in outcomes between mindfulness-based therapy and cognitive-behavioral therapy, suggesting both may be efficacious.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".