Feasibility and Effects of Namaste Care for Persons with Advanced Dementia in Canadian Long-Term Care Homes
Bibliographic record
Abstract
OBJECTIVE: To evaluate the feasibility and effects of the Namaste Care intervention for persons with advanced dementia (ie, moderate and late-stage) in long-term care (LTC) and their family carers. DESIGN: A pre-posttest study design. Staff carers delivered Namaste Care for residents with the support of volunteers in a small group setting. Activities provided included aromatherapy, music, and snacks/beverages. SETTING AND PARTICIPANTS: Residents with advanced dementia and family carers from 2 Canadian LTC homes, located in a midsize metropolitan area, were included. METHODS: Feasibility was evaluated using a research activity log. Outcome data for residents (ie, quality of life, neuropsychiatric symptoms, pain) and family carers (ie, role stress, quality of family visits) were collected at baseline and 3 and 6 months of the intervention. Descriptive analyses and generalized estimating equations were used for quantitative data. RESULTS: A total of 53 residents with advanced dementia and 42 family carers participated in the study. Mixed findings were found for feasibility as not all intervention targets were met. There was a significant improvement in resident neuropsychiatric symptoms at the 3-month time point only (95% CI -9.39, -0.39; P = .033) and family carer role stress at both time points (3-month 95% CI -37.40, -1.80; P = .031; 6-month 95% CI -48.90, -2.09; P = .033). CONCLUSIONS AND IMPLICATIONS: Namaste Care is an intervention with preliminary evidence of impact. Feasibility findings revealed that not all targets were met as the intended number of sessions were not delivered. Future research should explore how many sessions per week are required to lead to an impact. It is important to assess outcomes for both residents and family carers, and to consider enhancing family engagement in delivering the intervention. Given the promise of this intervention, a large-scale randomized controlled trial with a longer follow-up should be conducted to further evaluate its outcomes.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".