myoActivation®, a Structured Assessment and Therapeutic Process for Adolescents With Myofascial Dysfunction and Chronic Low Back Pain: A Case Series
Bibliographic record
Abstract
Introduction Myofascial dysfunction is a significant, but often unrecognized, contributor to chronic low back pain (CLBP). myoActivation is an innovative method that utilizes a structured assessment and therapeutic process to recognize and manage myofascial dysfunction and pain. Since 2017, the British Columbia Children's Hospital Complex Pain Service has used myoActivation as a tool in the interdisciplinary care of adolescents with chronic pain. This case series explores the journey to discharge of patients in whom myoActivation was incorporated as part of their CLBP management. Methods We retrospectively reviewed clinical records of adolescents reporting CLBP who underwent myoActivation between August 2022 and January 2023 and had subsequently been discharged. Information obtained for analysis included preclinical information (medical/injury/pain history, previous investigations, diagnoses, therapies, and quality of life indicators); clinic recommendations, assessment findings, management strategies, and specifics of the myoActivation process; and reported changes at discharge (quality-of-life measures and medication use). Results Eight cases were reviewed: all female, with a median age (range) of 16.5 (15.7-19.5) years. Before admission, patients had experienced chronic pain for a median duration of 4.3 (1-8) years, had self-reported average pain intensity of 7.5 (4-9) on the 0-10 numeric pain scale, with poor quality-of-life impacts including sleep disturbance (8/8, 100%), school absence (8/8, 100%), and low mood (6/8, 75%). Patients attended three (2-5) myoActivation sessions over two (1-10) weeks. The overall duration of their interdisciplinary care was 12 (7-25) months. At discharge, there were improvements in pain (7/8, 88%), physical functioning (5/8, 63%), sleep (6/8, 75%), school attendance (5/8, 63%), and mood (4/6, 67%) and reduced prescription and over-the-counter medication use in most cases. Conclusion This case series suggests that myoActivation may be a useful clinical tool in the assessment and management of adolescents with myofascial dysfunction and CLBP. Prospective longitudinal research is required to establish evidence that confirms the clinical efficacy of myoActivation within interdisciplinary care.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".