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Record W3207635327 · doi:10.1089/jpm.2021.0481

Top Ten Tips Palliative Care Clinicians Should Know About Music Therapy and Art Therapy

2021· article· en· W3207635327 on OpenAlexaff
Melissa Srolovitz, Jennifer Borgwardt, Moreen Burkart, Amy Clements-Cortés, Johanna Czamanski‐Cohen, Mabel Ortiz Guzman, Molly Hicks, Girija Kaimal, Lindsay Lederman, Jordan S. Potash, Sarah Yazdian Rubin, Daniel Stafford, Angela Wibben, Michèle Wood, Jean Youngwerth, Christopher A. Jones, Ian B. Kwok

Bibliographic record

VenueJournal of Palliative Medicine · 2021
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicinePalliative careMusic therapyInclusion (mineral)Art therapyNursingMEDLINEMedical educationPsychologyPsychiatryPhysical therapy

Abstract

fetched live from OpenAlex

Palliative care is provided by an interdisciplinary team, including physicians, advanced practice providers, nurses, social workers, chaplains, and other disciplines based on need. Music therapists and art therapists are becoming increasingly available to palliative care teams and are advancing the diverse and unique clinical services available to effectively meet the holistic needs of patients with serious illnesses and their families. This article provides a concrete exploration of clinical music therapy and art therapy within palliative care and hospice paradigms, with discussion of therapists' training and expertise, therapeutic approaches within the setting of interprofessional team-based care, and discussion of evidence-based symptom management and outcomes supporting the inclusion of music and art therapies within medical education and clinical employment.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.186
GPT teacher head0.448
Teacher spread0.263 · 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.

Study designObservational
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

Citations29
Published2021
Admission routes1
Has abstractyes

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