A telephone-delivered psychosocial intervention improves dementia caregiver adjustment following nursing home placement
Bibliographic record
Abstract
OBJECTIVE: Study the preliminary efficacy of a telephone intervention, Family Intervention: Telephone Tracking-Nursing Home (FITT-NH) for improving dementia caregivers' adjustment following nursing home placement. METHODS: Caregivers were enrolled on average 6 weeks following the care-recipients' placement in a nursing home. Baseline assessment included self-report measures of caregiver emotional functioning, staff-caregiver interactions, placement satisfaction, health-related quality of life, and social support. Caregivers were randomly assigned to FITT-NH (n = 24) or a non-contact control condition (n = 22). Caregivers were urn randomized to balance groups on caregiver gender, relationship (spouse versus other), and facility type (dementia special care versus general). The intervention was entirely telephone-delivered in 10 contacts over 3 months. Caregivers randomized to non-contact control were not prevented from using other community-based mental health or support resources, therefore reflecting standard care. Intervention strategies were based on assessment of caregiver emotional adjustment, family functioning, staff-caregiver interactions, health, and social support. Treatment strategies are based on models of stress and coping process and family functioning. RESULTS: Groups did not differ in caregiver age, education, gender, relationship to the care recipient, length of caregiving, length of dementia diagnosis, or time since placement. Using mixed model analysis of variance, caregivers receiving FITT-NH showed a significant reduction in feelings of guilt related to placement, F(1,43) = 5.00, p < 0.05, and reported more positive perceptions of interactions with staff, F(1,43) = 4.59, p < 0.05, compared to standard care. CONCLUSION: Findings provide preliminary evidence for FITT-NH as a potentially efficacious, brief, targeted psychosocial intervention for improving caregiver emotional adjustment following nursing home placement.
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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 | 0.000 | 0.002 |
| 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) | 0.003 | 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".