Janus at the Crossroads: Perspectives on Long-term Care Trajectories for Older Women With Dementia in a Canadian Context
Bibliographic record
Abstract
PURPOSE OF THE STUDY: Janus, the two-faced, Roman god of beginnings and transitions, is used as a metaphor to explore our personal narratives and our quantitative research on the experiences of older women with dementia in long-term care (LTC). Two research questions are addressed: (a) How do our quantitative data map onto our mothers' experiences? (b) What lessons do our mothers' experiences offer for the care of older women with dementia? DESIGN AND METHODS: Informed by a life-course perspective, we triangulate administrative data on 3,717 women with dementia receiving LTC in British Columbia, Canada, with personal narratives-the stories of our mothers who made the transition from home care into residential (nursing home) care. RESULTS: Our quantitative data reveal that the home care to residential care transition is the most common LTC trajectory for women with dementia who are most likely to be widowed and living alone in suburban areas. On entry into residential care, they exhibit greater frailty in terms of activities of daily living, cognition, aggression, and incontinence. Our personal narrative data on our mothers reveals that the relatively straightforward pathways through LTC for women with dementia, are often considerably more complex in a real-world context. Attention is drawn to the public and private services, hospitalization patterns, and substantial communication gaps experienced by our moms and families. IMPLICATIONS: A life-course perspective, and qualitative and quantitative data facilitate understanding the care journeys-health and service trajectories of older women with dementia.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.042 | 0.012 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".