Renovating the Built Environment for Dementia Care: Lessons Learned at the Lodge at Broadmead in Victoria, British Columbia
Bibliographic record
Abstract
T he Lodge at Broadmead is a 10-year-old, 225-bed, non- profit geriatric residential care facility (nursing home) owned and operated by the Tillicum and Veterans Care Society.It is located in a residential neighbourhood in Victoria, British Columbia.The facility receives base operational funding from the Vancouver Island Health Authority.More than half of the facility's residents are veterans eligible for priority access bed status.The majority (67%) of veteran residents have moderate to severe levels of dementia.All require supervision and care 24-7.Ambulatory veterans for whom dementia is a primary diagnosis are accommodated in three special lodges: Palm North, Palm South and Magnolia.These veterans are the primary beneficiaries of a multi-faceted Dementia Care Program funded by Veterans Affairs Canada since 2003 as part of its National Dementia Care Initiative.The Dementia Care Program at the Lodge has clinical, educational and environmental elements.This article focuses on the environmental component -the renovation of Palm and Magnolia Lodges -the process and related lessons learned. Purpose of the RenovationsThe goal behind the renovations was to improve the quality of care and of life for veterans with dementia by renovating the existing dementia care lodges in ways that reflect a new awareness of the impact of the built environment on persons with dementia.For example, fewer people in one dwelling, reduced noise and a calm, home-like atmosphere are known to contribute to better functioning and quality of life for residents with dementia (Alzheimer's Australia 2004;
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".