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Record W4401889764 · doi:10.1080/09638288.2024.2393439

Development and integration of a music therapy program in the neurologic inpatient setting: a qualitative study

2024· article· en· W4401889764 on OpenAlexaff
Leah J. Mercier, David M. Langelier, Jennifer Buchanan, Shannon Robinson, Stephanie Plamondon

Bibliographic record

VenueDisability and Rehabilitation · 2024
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsHotchkiss Brain InstituteCancer Care OntarioToronto Rehabilitation InstituteUniversity of TorontoUniversity of Calgary
Fundersnot available
KeywordsMusic therapyPerspective (graphical)Qualitative researchMedicinePsychologyNursingMedical educationPhysical therapySociology

Abstract

fetched live from OpenAlex

PURPOSE: Explore facilitators and barriers to development and integration of an inpatient music therapy (MT) program from the perspective of the patient, family member, and health care professional. MATERIALS AND METHODS: This qualitative study recruited patients on acute neurosciences/neurorehabilitation units having participated in the hospital MT program, their family, and members of their health care team. Semi-structured individual interviews and focus groups were conducted with 35 participants (14 patients, 5 family members, 16 health care professionals). Interviews/focus groups were audio recorded and transcribed verbatim. Data were coded in duplicate and a codebook was developed through an iterative process. RESULTS: Four dominant themes emerged from the data: (1) facilitators of program operations; (2) barriers to program establishment; (3) perceived positive impact on patient outcomes; and (4) opportunity for improvement. Facilitator sub-themes included a love for music that encouraged participation, broad appeal of MT, and support of the health care team. CONCLUSIONS: Patients, health care professionals, and family members accepted MT as a treatment modality. While there is growing evidence for MT in neurorehabilitation, practical challenges remain in developing inpatient MT services, including funding, and optimal integration of music therapists into existing care teams.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score0.259

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.078
GPT teacher head0.429
Teacher spread0.351 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2024
Admission routes1
Has abstractyes

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