Evaluation of the effectiveness of music therapy in improving the quality of life of palliative care patients: a randomised controlled pilot and feasibility study
Bibliographic record
Abstract
Introduction Music therapy is frequently used as a palliative therapy (Demmer, 2004), with the primary aim of improving people’s quality of life. To date, primarily because of a paucity of robust research, the evidence for music therapy’s effectiveness on patient reported outcomes is positive but weak (McConnell et al ., 2016). Aim(s) This pilot and feasibility study will: test procedures; outcomes and validated tools; estimate recruitment and attrition rates; and calculate the sample size required for a phase III randomised trial to evaluate the effectiveness of music therapy in improving the quality of life of palliative care patients. Method(s) A pilot controlled trial supplemented with qualitative methods with n = 52 patients from an inpatient and day hospice setting. Baseline data collection includes the McGill Quality of Life Questionnaire (MQOL), medical and socio-demographic data. Participants in the intervention arm are offered two 30–45 minute sessions of music therapy per week for 3 consecutive weeks, in addition to care as usual. Participants in the control arm receive care as usual. Follow-up measures administered at 3 and 5-weeks. Qualitative data collection involves focus group/interviews with HCPs and carers. Results The results of the study will ensure a firm methodological grounding for the development of a robust phase III randomised trial of music therapy for improving quality of life in palliative care patients. Conclusion(s) By undertaking the pilot and feasibility trial under normal clinical conditions in a hospice setting, the trial will result in reliable procedures to overcome some of the difficulties in designing music therapy RCTs for palliative care settings. References Demmer C. A survey of complementary therapy services provided by hospices. J Palliat Med 2004; 7 (4):510–516 McConnell T, Scott D, Porter S. Music therapy for end-of-life care: an updated systematic review. Palliat Med 2016. doi:10.1177/0269216316635387. Accessed March 4, 2016
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".