Trauma-informed management of patients with prior sexual trauma in pelvic health physiotherapy clinical practice
Bibliographic record
Abstract
Pelvic health (PH) physiotherapists treat a range of pelvic floor conditions, with more than 20% of those seeking treatment having a prior history of sexual assault or childhood sexual abuse. This Discussion Paper incorporates an integrated case study of a patient who was sexually assaulted as a teenager and went on to develop Genito-Pelvic Pain Penetration Disorder (GPPPD). The authors collectively share multidisciplinary insights in physiotherapy, psychology, psychotherapy, nursing, law and trauma research to advocate for a tailored evidence-based approach to treating patients with sexual trauma. A trauma-informed perspective creating safety, screening and consent will be offered. Graded exposure techniques to facilitate an adaptive and flexible patient response to cues of safety vs threat will be introduced. Empathic responding, being attentive and attuned to a patient’s trauma triggers could translate to improved patient outcomes. Inadvertently, these same qualities may place PH physiotherapists at risk for vicarious trauma. Harmonising this delicate intersection where clinicians are required to flexibly pivot between containing hyper/hypo arousal for the patient with empathic, attuned responding to ensure a safe treatment milieu, is a specific focus. We invite further collaboration from this review article, serving as a catalyst for developing rigorous clinical practice guidelines for PH physiotherapists to be confident and competent when managing patients presenting with history of sexual trauma.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".