Music Therapy for Pain Management for People With Advanced Cancer: A Randomized Controlled Trial
Bibliographic record
Abstract
OBJECTIVE: To improve mechanistic understanding, this randomized controlled trial examined anxiety, mood, emotional support, and pain-related self-efficacy as mediators of music therapy for pain management in people with advanced cancer. METHODS: People with advanced cancer who had chronic pain were randomized (1:1) to 6 weekly individual music therapy or social attention control sessions. We measured mediators and pain outcomes (pain interference and pain intensity) using self-report measures at baseline, session 4, and post-intervention. We included outcome expectancy/treatment credibility, music reward, adult playfulness, and baseline pain interference and pain intensity as moderators. RESULTS: Participants (n = 92) had a mean age of 56 years. Most were female (71.7%), white (47.8%) or Black (39.1%), and had stage IV cancer (75%). Self-efficacy was found to be a significant mediator of music therapy for pain intensity (indirect effect ab = 0.79, 95% CI 0.01-1.82) and pain interference (indirect effect ab = 1.16, 95% CI 0.02-2.51), while anxiety, mood, and emotional support were not. The mediating effect of pain-related self-efficacy was significantly moderated by baseline pain interference but not by the other moderators. CONCLUSIONS: The findings suggest that the impact of music therapy on chronic pain is mediated by self-efficacy. This knowledge can help optimize music therapy interventions for chronic pain management for people with advanced cancer by capitalizing on teaching music-based self-management strategies. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03432247.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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) | 0.003 | 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".