Implementing Silent Disco Headphones in a Hospital Unit: A Qualitative Study of Feasibility, Acceptance, and Experience Among Patients and Staff
Bibliographic record
Abstract
INTRODUCTION: Music is so widely available and inexpensive in the modern world; it is a common option for stress reduction, comfort and enjoyment. Silent disco headphones are used among young people; however, no study has yet investigated whether it is feasible to use these headphones to support mental health and well-being among older people with dementia in hospital settings. OBJECTIVE: The study's main objective is to explore whether music delivered by silent disco headphones was feasible and acceptable to a sample of inpatients staying in an older adult mental health unit of a large urban hospital. METHODS: We employed a video-ethnographic design in data collection, including conversational interviews and observations with video recording among ten patient participants in a hospital unit. A focus group was conducted with ten hospital staff on the unit. RESULTS: Our analysis identified three themes that represented experiences of patients and staff: (1) perceived usefulness, (2) perceived ease of use, and (3) attitude. Patient participants reported the music delivered by the headphones brought positive benefits. Witnessing the positive effects on patients influenced the staff's view of how music could be used in the clinical setting to support patients' well-being. CONCLUSIONS: The music delivered by the silent disco headphones in an older adult mental health unit was found to be an acceptable and feasible intervention for patients. Leadership support is identified as an enabling factor in supporting technology adoption in the clinical setting. The findings can be used to inform practice development and future research.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".