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Record W4406538828 · doi:10.1093/mtp/miae030

Music Therapists’ Global Perspectives on Telehealth Music Therapy: A Qualitative Interview Inquiry

2025· article· en· W4406538828 on OpenAlexaff
Amy Clements-Cortés, Allison Fuller, Lisa Kelly, Marija Pranjić, Indra Selvarajah, M. Brotons, Nicholas Bridi

Bibliographic record

VenueMusic Therapy Perspectives · 2025
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMusic therapyTelehealthPsychologyPsychotherapistQualitative researchMedical educationMedicineTelemedicineSociologyHealth careSocial science

Abstract

fetched live from OpenAlex

Abstract Telehealth music therapy (TMT) grew exponentially during the COVID-19 pandemic and has continued to be integrated in music therapy praxis. This interview study, which is a follow-up to a large international study of 572 music therapists, reports the perceptions and experiences of 20 music therapists from 10 countries across 5 global regions. Five themes arose from the qualitative analysis, including (1) accessibility of TMT, (2) suitability of TMT, (3) safety within TMT, (4) technology within TMT, and (5) advancing the practice of TMT. Several recommendations are provided for music therapy clinicians, educators and researchers to consider for the future of TMT including the inclusion of TMT theoretical and experiential training for preprofessionals, client perceptions, experiences and desires for TMT, and the role of caregivers in TMT provision.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.001

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 head0.170
GPT teacher head0.448
Teacher spread0.279 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2025
Admission routes1
Has abstractyes

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