SENSE-Cog Residential Care: hearing and vision support for residents with dementia in long-term care in Ireland—protocol for a pilot cluster-randomised controlled trial
Bibliographic record
Abstract
BACKGROUND: Hearing and vision loss is highly prevalent in residents with dementia (RwD) living in long-term care (LTC) facilities. Sensory loss often has a negative impact on quality of life and other dementia-related outcomes. Optimising sensory function may improve dementia-related outcomes in LTC facilities. The SENSE-Cog Residential Care pilot trial will evaluate whether a multi-faceted hearing and vision intervention for RwD and concurrent sensory loss is suitable for definitive testing in a large-scale cluster-randomised control trial (RCT) in Ireland and how this can best be achieved. METHODS: This is a 6-month feasibility-pilot, multicentre, cluster RCT. Between eight and 15 LTC facilities (with an average of 5 RwD recruited per home) will be randomly assigned to receive either 'care as usual' (CAU) or a multi-component sensory intervention comprising (1) personalised resident hearing and vision support, (2) staff training in sensory health, (3) fostering a 'sensory friendly' environment, and (4) mapping sensory care provision with community-based audiologists and opticians. The intervention's feasibility, acceptability, and tolerability for residents and staff will be examined. In addition, a battery of exploratory outcome measures will be evaluated for suitability for the definitive trial and to inform the choice of primary and secondary outcome measures. DISCUSSION: If the SENSE-Cog Residential Care pilot trial demonstrates that the sensory support intervention for residential care is feasible and tolerated in LTC facilities in Ireland, a larger definitive trial to evaluate its effectiveness in improving dementia-related outcomes will be conducted. Training materials, resources, and information will be made available to health and social care providers to enable the implementation of sensory support for RwD in routine LTC, potentially improving the quality of such care in Ireland. TRIAL REGISTRATION: ISRCTN, ISRCTN14462472. Registered 24 February 2022, https://doi.org/10.1186/ISRCTN14462472.
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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 | 0.044 | 0.035 |
| Meta-epidemiology (narrow) | 0.006 | 0.004 |
| Meta-epidemiology (broad) | 0.011 | 0.006 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.070 | 0.013 |
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".