Transitions to Long-Term Care for People Living with Dementia: Social Death and Social (Dis) Connections
Bibliographic record
Abstract
Background/objectives: Dementia is the most common cause for long-term care placement for people over the age of 65 years. The decision and the transition are often very difficult for families and the type and timing of effective support not well understood. In this exploratory study, we aimed to gain a better understanding of the experience of this transition to a long-term care setting and its impact on social connections. Methods: We conducted virtual in-depth interviews with a sample of spouses (N = 5) who had identified their partner’s move to a nursing home as particularly distressing. Interview data were analyzed using thematic analysis. Results: We identified that the transition process involved a particular disruption for dyads’ social health, although there was rarely a consideration in planning or support provision. For the person living with dementia, the unacknowledged loss of their social world reinforced their social death. Their grieving partner was explicitly and implicitly encouraged to recover a new social world as a means of healing from the loss. Conclusions: Our findings reinforce the need for evidence-informed support during the transition to long-term care for someone living with dementia and their partner.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| 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".