Aging-in-Place (Vieillir Chez Soi, VCS) in a Seniors’ Residence: Co-Development, Implementation, and Evaluation of a Care Approach to Delay Transitions in Long-Term Care
Bibliographic record
Abstract
Many older adults living in a seniors' residence (SR), especially those living with dementia, will have to be relocated in long-term care (LTC) despite the negative impact of these care transitions on physical and psychological well-being. Using a living lab methodology and focus group methods, a care approach was co-developed in collaboration with a SR and public home care services, to promote aging-in-place and delay relocations in LTC. Outcomes were assessed using Interrupted Time Series Analysis. Integrating best practices like staff training, care reorganization, personalized care based on the residents' life stories, and stronger collaborations with the home care services, this approach allowed older adults with higher assistance needs to remain within their home. Relocations to LTC were delayed by approximately 3 months. Ultimately, aging-in-place was found to be relevant in providing evolving care to older adults living in a SR, though further studies are needed to document its financial impact.
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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 | 0.015 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| 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".