A randomised controlled pilot and feasibility study of music therapy for improving the quality of life of hospice inpatients
Bibliographic record
Abstract
BACKGROUND: Evidence about the effectiveness of music therapy for improving the quality of life of palliative care patients is positive but weak in terms of risk of bias. METHODS: This study aimed to determine the feasibility of a randomised controlled trial to evaluate the effectiveness of music therapy for improving the quality of life of hospice inpatients, as measured by the McGill Quality of Life questionnaire. Objectives included recruitment of 52 participants over 12 months and provision of data to support the calculation of the required sample size for a definitive randomised trial, taking into account the retention rates of recruited participants; and evaluation of the viability of the intervention and the acceptability of the assessment tool. The design was a single-centre, researcher-blinded randomised pilot and feasibility study involving two parallel groups. Participants were recruited from one inpatient hospice unit in Northern Ireland. Eligibility criteria were an Eastern Cooperative Oncology Group performance status of two or lower and an Abbreviated Mental Test score of seven or more. Consenting patients were randomly allocated to the intervention or control group using a 1:1 allocation ratio. The intervention group received up to six individual music therapy sessions over 3 weeks in addition to usual care. The control group received usual care only. RESULTS: Fifty one participants were recruited over 12 months. Twenty five were allocated to the intervention group and 26 to the control group. Seventy one percent of participants were lost to follow up by week 3, the proposed primary endpoint. The primary endpoint was moved from week 3, when 71% were lost to follow up to week 1, when 33% were lost. The McGill Quality of Life questionnaire was generally acceptable to participants. In order to detect a small to moderate effect size of 0.3, a fully powered study would require the recruitment of 698 participants. CONCLUSIONS: A Phase III randomised controlled trial to evaluate the effectiveness of music therapy in improving the quality of life of hospice inpatients is feasible. TRIAL REGISTRATION: ClinicalTrials.gov: NCT02791048 . Registered 6 June 2016.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.024 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".