Music therapy for pain and anxiety management in postoperative trauma patients
Bibliographic record
Abstract
Objective: Acute pain is a common and complex problem among postoperative trauma patients, burdening over 90% of the population. Although pharmacological interventions remain the mainstay of pain management in the inpatient setting, non-pharmacological interventions are emerging as legitimate adjuncts. The non-pharmacological intervention of music therapy has been shown to significantly and consistently lower pain and anxiety levels. This quality improvement project aimed to pilot the integration of music therapy for postoperative trauma patients at a Level I Trauma Center in the Southeast United States and evaluate its effects on pain and anxiety levels.Methods: A before and after intervention study was conducted at the organization over a 10-week period. Unit registered nurses were educated on patient inclusion criteria and placed music therapy consultation orders accordingly. A board-certified music therapist provided evidence-based music therapy intervention for consulted patients. A survey consisting of the State-Trait Anxiety Inventory State-5 and the numeric rating scale for pain was administered pre- and post-intervention. A paired-sample t-test was run to evaluate the statistical significance of music therapy’s effect on pain and anxiety.Results: The mean pre-test State-Trait Anxiety Inventory State-5 score was 8.43 (sd = 3.46), and the post-test was 5.64 (sd = 1.10) among patients who received music therapy (n = 28). A significant decrease in anxiety was found (t (27) = 5.227, p < .001). The mean pre-test numeric rating scale for pain score was 6.36 (sd = 2.59), and the post-test was 4.57 (sd = 2.66). A significant decrease in pain was found (t (4.90) = 4.892, p < .001).Conclusions: Patients who received music therapy as an adjunct intervention achieved a statistically significant decrease in pain and anxiety levels. This quality improvement project validates current research and bolsters evidence-based practice recommendations that reference music therapy as a legitimate adjunct to pharmacological pain and anxiety treatment regimens.
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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 | 0.000 | 0.001 |
| 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) | 0.003 | 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 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".