Protocol: WorkoutCPP - a pilot series of N-of-1 trials evaluating RL-generated adaptive exercise recommendations for pelvic pain management
This protocol describes N-of-1 trials evaluating a reinforcement learning-based mobile health intervention for personalized exercise recommendations in women with chronic pelvic pain disorders.
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This protocol describes a pilot series of N-of-1 trials evaluating an adaptive mobile health intervention that uses reinforcement learning to personalize exercise recommendations for individuals with chronic pelvic pain disorders. The study enrolls 45 participants aged 18 to 55 who undergo alternating baseline and intervention phases to assess adherence, retention, and algorithm interpretability while accounting for daily symptom variability. Although the design allows for detailed within-person assessment, the small sample size and potential for participant inference limit the generalizability of the findings, which are intended primarily to inform future confirmatory research. Relevance to endometriosis: listed as one indication for GnRH antagonists, though the paper's main focus is uterine fibroids.
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References (20)
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- Chronic Pelvic Pain in Women via openalex
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- Management of chronic primary pelvic pain syndromes via openalex
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- last seen: 2026-10-06T06:07:52.081803+00:00