Pediatric music therapy in the United States: A subsequent inquiry
Bibliographic record
Abstract
Objective: Music therapy is a credentialed and established allied health profession with increasing prevalence in medical settings across the United States. The field is evidence-based, guided by research and best practice, and music therapy clinicians collaborate inter-professionally to support patients and families during hospitalization. Pediatric music therapists are uniquely situated to improve patient and family care and positively impact the hospital experience. This cross-sectional survey focused on capturing current trends in pediatric music therapy, comparing current data with previously captured data, identifying unique clinical needs of pediatric music therapists; and providing guidance for current clinical considerations.Methods: The REDCap survey yielded 84 responses (n = 84) from pediatric music therapists. Survey data were analyzed using a modified exploratory sequential mixed methods design, incorporating an initial data review, followed by an inductive qualitative analysis, and concluding with a quantitative phase. The approach was selected to provide a comprehensive understanding of current trends in pediatric music therapy, allowing for comparisons with findings from a previous survey, identification of unique clinical needs, and the development of insights to inform current clinical practice considerations.Results: The analyzed data showed significant trends within the pediatric music therapy workforce. The comparison between the previous survey conducted in 2020 and the results from 2023 shows that the demand for music therapy services continues, particularly in the clinical areas of emotional support, coping, rehabilitation, palliative care, and pain management. The data suggest that clarifying career progression opportunities, improving institutional backing, and addressing workload distribution could play a pivotal role in therapist retention and long-term service effectiveness.Conclusions: Music therapists, creative arts therapists, and hospital administrators can use this data to understand resource allocation better and continue growth and support of music therapy within their respective facilities.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".