The effects of interactive music therapy on hospitalized children with cancer: a pilot study
Bibliographic record
Abstract
BACKGROUND: The use of music therapy with children in health settings has been documented, but its effectiveness has not yet been well established. This pilot study is a preliminary exploration of the effectiveness of interactive music therapy in reducing anxiety and increasing the comfort of hospitalized children with cancer. METHODS: Pre- and post-music therapy measures were obtained from children (N = 65) and parents. The measures consisted of children's ratings of mood using schematic faces, parental ratings of the child's play performance, and satisfaction questionnaires completed by parents, children and staff. RESULTS: There was a significant improvement in children's ratings of their feelings from pre- to post-music therapy. Parents perceived an improved play performance after music therapy in pre-schoolers and adolescents but not in school-aged children. Qualitative analyses of children's and parents' comments suggested a positive impact of music therapy on the child's well-being. CONCLUSIONS: These preliminary findings are encouraging and suggest beneficial effects of interactive music therapy with hospitalized pediatric hematology/oncology patients. In future studies replicating these findings should be conducted in a randomized control trial.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".