Introducing a Clinical Practice Guideline in Physiotherapy to Address Sexuality in Adults with a Neuromuscular Disorder
Bibliographic record
Abstract
Purpose: We present the development and the key elements of a clinical practice guideline (CPG) in physiotherapy aiming to address sexuality, more specifically impairments and limitations that can interfere with sexual activity in adults with a neuromuscular disorder (NMD). Method: The CPG was based on the Rare Knowledge Mining Methodological Framework (RKMMF) and included a literature review, consultation with physiotherapists, and validation by an interdisciplinary team. The EX-PLISSIT (extended, permission, limited information, specific suggestions, intensive therapy) model and the Competency Profile for physiotherapists in Canada were also used as frameworks to divide the CPG into sections. Here, we present the methodology for the CPG development and key elements related to physiotherapy assessment and treatment related to sexual activity in people with NMDs. Results: An extensive CPG was developed through a literature review, consultations, and a validation process. A total of 75 articles were included in the review. Twelve physiotherapists and four health professionals reviewed the CPG. Physiotherapists should address the following in their assessment: relationships; assistance required during sexual activity; urinary, vaginal, or anorectal symptoms; erectile dysfunction; pain; fatigue; and the impact of the NMD on sexuality. Interventions can target physical activity, positioning, muscle weakness, fatigue, decreased range of motion, erectile dysfunction, sensitivity disorders, lubrication, pain, incontinence, and cardiorespiratory implications. Conclusions: The CPG promotes the importance of addressing sexuality and proposes different interventions that physiotherapists should integrate into their practice.
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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 | 0.103 | 0.218 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.009 | 0.006 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.010 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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".