A Novel Intervention for Management of Behavioral and Psychological Symptoms of Dementia in Nursing Home Communal Areas: Results of a Small-Scale Pilot Trial
Bibliographic record
Abstract
BACKGROUND: Behavioral and psychological symptoms of dementia (BPSD) exhibited by persons with dementia (PwD) in nursing home communal areas are generally managed by segregation and/or pharmacological interventions. OBJECTIVE: This study trialed MindfulGarden (MG), a novel digital calming device, in a Canadian nursing home. METHODS: Participants were 15 PwD (mean age = 87.67; 5m,10f; mean MMSE = 11.64±7.85). Each was observed by a research assistant (RA) for an average of 8-10 hours on two separate days. The RA followed them during time spent in communal areas of the nursing home including their unit's dining space, lounges, and corridors and spaces shared with other units (e.g., gym and gift shop) and documented any BPSD exhibited. Day-1 provided baseline data; on Day-2, residents were exposed to MG if nursing staff considered their BPSD were sufficiently intense or sustained to warrant intervention. Staff rated the impact as positive, neutral, or negative. RESULTS: On Day-1, 9 participants exhibited both aggressive and non-aggressive behaviors, 4 non-aggressive behaviors only, and 2 no BPSD. On Day-2, 7 exhibiting aggressive behaviors were exposed to MG. Staff reported MG as having distracting/calming effects and gave positive impact ratings to 6/13 exposures; there were no negative ratings. The most common aggressive BPSD on days of observation were pushing/shoving and screaming. CONCLUSION: MG may have value as a "psychiatric crash cart" in de-escalating agitation and aggression in care home settings.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".