Multi-disciplinary community-based group intervention for fibromyalgia: a pilot randomized controlled trial
Bibliographic record
Abstract
Fibromyalgia is characterized by widespread pain, fatigue, sleep disturbances, mood disturbances, and cognitive impairment. Most individuals with fibromyalgia experience poorly managed symptoms and increased healthcare service use. Multicomponent therapies, with a focus on nonpharmacological modalities, are increasingly supported in the literature. However, given the limited resources available, implementation in smaller communities remains a challenge. This research tested a community-based multidisciplinary group intervention for individuals diagnosed with FM living in a small urban centre. The primary outcome was perceptions of quality of care and secondary outcomes included disease-related functioning, anxious and depressive symptoms, pain beliefs, and health service utilization. A pilot randomized control trial was conducted in which 60 patients diagnosed with fibromyalgia were randomized into a 10-week community-based multidisciplinary group intervention program or usual care. Treatment components included twice-weekly exercise sessions and weekly education sessions (e.g., pain education, cognitive behavioral strategies for stress, nutrition, peer support). The trial (NCT03270449) was registered September 1 2017. Statistically significant post-intervention improvements were found in the primary outcome, perceived quality of care (Cohen's d = 0.61, 0.66 for follow up care and goal setting, respectively). Secondary outcomes showing statistically significant improvements were disease-related daily functioning (Cohen's d = 0.70), depressive symptoms (Cohen's d = 0.87), and pain beliefs (Cohen's d = 0.61, 0.67, 0.82 for harm, disability and control, respectively). No adverse events were reported. Community-based multidisciplinary group interventions for fibromyalgia show promise for improving satisfaction with quality of care, disease-related functioning, and depression, and fostering more adaptive pain beliefs.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 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".