Effects of music therapy on mood, pain, and satisfaction in the neurologic inpatient setting
Bibliographic record
Abstract
Music therapy (MT) has been used in health care settings for a wide variety of treatment goals. Many inpatients with neurologic impairments struggle with low mood and pain for which MT may be a novel adjunct treatment. The aims of this study were to: (1) evaluate change in mood and pain following a single MT session; (2) explore the impact of an MT program on mood, pain and satisfaction from the perspective of the patient, family and staff. A mixed-methods study was conducted. Forty participants completed pre/post MT surveys evaluating mood, pain and satisfaction. Individual semi-structured interviews and focus groups were conducted with 14 MT program participants (inpatients), 5 family members of participants and 16 staff. There was significant improvement in mood (p < 0.001) and decrease in pain (p < 0.05) from pre-to-post MT with 74% reporting being “very satisfied” with the session. “Benefits of MT” was the overarching theme of the qualitative data. Subthemes were emotional regulation, pain management, effects on self-concept, enjoyment, and social connectedness. Improvements in mood and pain were reported from pre-to-post MT session and in interviews. Further evaluation of MT effectiveness against standard of care rehabilitation and cost implications is required.Implications for RehabilitationMusic therapy (MT) is delivered by accredited music therapists (MTAs) in health care settings, including rehabilitation units, as an individual, group or co-treatment therapy.MT can be used for a range of health outcomes, including the treatment of mood and pain, in addition to improving inpatient satisfaction.Early evidence using pre/post MT surveys suggests an improvement in mood and pain following a single therapy session.Qualitative data suggest overall benefit of offering MT services in addition to standard neurorehabilitation therapy, including improvements to emotional regulation, pain management, self-concept, enjoyment, and social connectedness. Music therapy (MT) is delivered by accredited music therapists (MTAs) in health care settings, including rehabilitation units, as an individual, group or co-treatment therapy. MT can be used for a range of health outcomes, including the treatment of mood and pain, in addition to improving inpatient satisfaction. Early evidence using pre/post MT surveys suggests an improvement in mood and pain following a single therapy session. Qualitative data suggest overall benefit of offering MT services in addition to standard neurorehabilitation therapy, including improvements to emotional regulation, pain management, self-concept, enjoyment, and social connectedness.
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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 | 0.003 |
| 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) | 0.002 | 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".