Patients with advanced oncological disease experience a high symptom burden - including pain, fatigue, dyspnea, anxiety, and depression - that significantly impacts quality of life, functioning, and overall wellbeing. These symptoms frequently co-occur and intensify in the final months of life, creating multidimensional suffering that requires comprehensive approaches beyond conventional pharmacological management. However, evidence on structured non-pharmacological interventions in palliative care units remains scarce, representing less than 5% of published randomized controlled trials in this field.
Music therapy has shown positive effects in hospitalized oncology patients, including reductions in anxiety, depression, fatigue, and pain. A prior single-session study combining music therapy with virtual reality conducted by this research group demonstrated statistically significant reductions in prevalent symptoms compared to a no-intervention control group. However, a gap remains in the literature regarding the effectiveness of multiple-session interventions and their cumulative effects over time. A systematic review conducted by the research group identified only six controlled studies evaluating multiple-session music therapy interventions in patients with advanced cancer, revealing methodological limitations including a lack of standardized protocols, heterogeneity in intervention techniques, and small sample sizes.
To address these limitations, the MUSPAL360 program was designed following recent standardized frameworks for music-based intervention reporting, and validated through a multidisciplinary expert panel (31 experts) using the Content Validity Index, with S-CVI/Ave between 0.916 and 1.000 across all professional groups.
This study adopts a prospective, single-arm, pre-post design. All eligible patients who consent to participate receive the MUSPAL360 program in addition to standard palliative care, with no control group or randomization. A qualitative component is embedded within the study, collecting participants' and caregivers' subjective experience at the end of each session through a funnel-style question guide; qualitative data are analyzed independently and subsequently integrated with quantitative results.
As a feasibility study, MUSPAL360 does not test confirmatory hypotheses. Instead, pre-specified progression criteria (covering eligibility, consent, session-by-session attrition, data completeness, and adverse events) will inform the decision on whether to proceed to a future confirmatory study. The stepwise decline in expected attrition thresholds across sessions reflects the anticipated clinical deterioration typical of hospitalized palliative care populations, rather than a study design limitation.
Sample size was determined by the precision required to estimate feasibility metrics, not by statistical power to detect clinical effects. A minimum of 40 participants will be recruited, accounting for expected attrition at each stage of the program (approximately 20% prior to Session 1, 30% between Sessions 1 and 2, and 40-50% between Sessions 2 and 3), resulting in an estimated 13-15 evaluable participants at program completion. This sample size allows feasibility proportions to be estimated with 95% confidence intervals of approximately ±15-16 percentage points, adequate precision to guide the viability of future studies. Statistical analysis will be predominantly descriptive: progression criteria will be reported as proportions with 95% confidence intervals (Clopper-Pearson exact method), and exploratory secondary outcomes will be analyzed without correction for multiple comparisons or confirmatory interpretation.