The Impact of a Novel Methodological Process for Needling Scars, Fascia, and Muscles in the Management of Myofascial Dysfunction and Chronic Pain in a Population Living With Social and Health Inequities: Quantitative Findings From a Longitudinal Observational Pilot Study
Bibliographic record
Abstract
Background: Nonpharmacological interventions are necessary tools for managing chronic pain to reduce dependence on prescribed analgesic medications. myoActivation® is an innovative systematic nonpharmacological assessment and needling process to help reduce chronic pain related to myofascial dysfunction (MFD). Aim: Analyze quantitative data collected during a longitudinal mixed methods observational pilot study in patients living with social and health inequities undergoing myoActivation as part of routine clinical care to determine the impact of this treatment approach on pain intensity, enjoyment of life, general activity, and unregulated drug use. Methods: Following ethics approval, we conducted a prospective observational study of patients receiving sequential myoActivation for chronic pain. Data were collected at baseline (Week 1) and subsequently at 4, 12, and 24 weeks using validated tools, including the PEG (Pain, Enjoyment of Life, General Activity) scale as well as self‐reports of substance and analgesic use. Results: There were 35 participants with a median (interquartile range) baseline PEG score of 7.7/10 (6.7–8.7/10). PEG scores improved at each follow‐up, with a mean difference from baseline of −2.5 (95% CI −3.4 to −1.5, p < 0.001) at Week 24, which corresponds to a clinically significant (> 30%) and lasting improvement. At 24 weeks, 9/27 (33%) participants reported less unregulated drug use, and 8/27 (30%) reported less analgesic medication use. Discussion: This study suggests that myoActivation pain care can be an effective tool, with a lasting positive impact, to manage MFD and chronic pain in a population living with social and health inequities. Further studies are needed to examine the impact of myoActivation in the primary care setting. Trial Registration: ClinicalTrials.gov identifier: NCT04261959
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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 | 0.014 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".