Impact of sensory interventions on the quality of life of long-term care residents: a scoping review
Bibliographic record
Abstract
INTRODUCTION AND PURPOSE: Residents in long-term care exhibit diminishing senses (hearing, sight, taste, smell or touch). The purpose of this study was to examine the available literature on the impact of sensory interventions on the quality of life of residents living in long-term care settings. METHODS: We conducted a mixed-methods scoping review using Arksey and O'Malley's framework. Seven databases (Medline (Ovid), PubMed (non-Medline-Ovid), CINAHL (EBSCO), Embase (Ovid), Ageline, PsycINFO (Ovid), Cochrane Central Register of Controlled Trials until 1 December 2020) were searched. Two reviewers independently screened the studies for sensory interventions using a two-step process. Eligible studies underwent data extraction and results were synthesised descriptively. RESULTS: We screened 5551 titles and abstracts. A total of 52 articles met our inclusion criteria. Some interventions involved only one sense: hearing (n=3), sight (n=12), smell (n=4) and touch (n=15). Other interventions involved multiple senses (n=18). We grouped the interventions into 16 categories (music programmes, environmental white noise, bright light interventions, visual stimulations, olfactory stimulations, massages, therapeutic touch, tactile stimulations, physical activity plus night-time programmes, pet therapies, various stimuli interventions, Snoezelen rooms, motor and multisensory based strategies, Namaste care, environmental modifications and expressive touch activities). CONCLUSION: This preliminary review summarised some of the available sensory interventions that will help inform a series of future systematic reviews on each of the specific interventions. The evidence-based knowledge for sensory interventions will also inform a future audit programme for assessing the presence of sensory interventions in long-term care.
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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 | 0.011 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".