Launching Namaste Care in Canada : Evaluation of a Facility-Wide Education Program to Improve End-of-Life Care in Advanced Dementia
Bibliographic record
Abstract
Objectives Residents living and dying in long-term care (LTC) homes represent one of society’s most frail and marginalized populations of older adults, particularly those residents with advanced dementia who are often excluded from activities that promote quality in their last months of life. This presentation will provide an overview of: (a) an innovative program, called Namaste Care, for residents who are dying with dementia; and (b) a facility-wide education program that was conducted to launch the program in Canada. Methods This study used a multiple methods survey design to evaluate the education program that was conducted in two LTC homes in Canada; one each of Ontario and Saskatchewan. The education program consisted of multiple sessions over a 2-day period for staff as well as an open public lecture for family, friends and others. We collected survey data from 44 LTC staff (e.g., personal support workers, licensed nurses, recreation staff), 25 in Ontario and 19 in Saskatchewan; and 44 family members and others (n= 21 from Ontario, 23 from Saskatchewan). Results The majority of participants rated the training program as excellent, stating “it’s just basic human care”. All participants stated that they now understand the purpose of Namaste Care. Most participants stated that they learned how to interact with residents in the Namaste room and the types of programming that are offered. Similarly, participants who attended the public lecture stated that they were very satisfied with the education, stating that the public lecture helped them learn more about how the program can be implemented. Participants in both groups suggested having follow-up sessions with a ‘report back’ about how the program impacts resident outcomes. Conclusions These study findings support the use of a facility-wide educational program to help launch a new innovation in LTC. The majority of participants were very satisfied with the education, providing suggestions for ongoing engagement throughout the implementation process.
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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 | 0.000 | 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".