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Record W2999709788 · doi:10.56883/aijmt.2020.170

A synopsis of the MusiQual feasibility study into the effectiveness of music therapy in palliative care inpatient settings

2020· article· en· W2999709788 on OpenAlexaff
Jenny Kirkwood, Lisa Graham‐Wisener, Tracey McConnell, Sam Porter, Joanne Reid

Bibliographic record

VenueApproaches An Interdisciplinary Journal of Music Therapy · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsQueen's University
FundersPublic Health Agency
KeywordsMusic therapyPalliative careMedicinePsychologyNursingPsychiatry

Abstract

fetched live from OpenAlex

The research team involved in conducting the MusiQual study – carried out in Belfast, Northern Ireland by Queen’s University Belfast, Every Day Harmony Music Therapy, and Marie Curie Northern Ireland – aimed to ascertain the feasibility of carrying out a larger multicentre trial into the effectiveness of music therapy in improving the quality of life of palliative care inpatients. This synoptic paper summarises a number of publications which resulted from developing and implementing the MusiQual study. Those publications include the main findings paper (Porter et al., 2018) and a number of supplementary publications: a systematic review of the literature (McConnell et al., 2016a), a realist review of the literature (McConnell & Porter, 2016), a critical realist evaluation (Porter et al., 2017a), an outline of the theoretical model which resulted from the realist review of the literature (McConnell & Porter, 2016), and the treatment manual for music therapy in palliative care drafted for use in the potential multicentre trial and recently published (Kirkwood et al., 2019). The purpose of this synopsis is to consolidate information in one single, accessible place in order to advance knowledge in this area of work and support the evidence-informed practice of music therapists and others in this field.

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)0.007
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.809

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
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 head0.192
GPT teacher head0.453
Teacher spread0.261 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

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