Depression in frail elders: impact on family caregivers
Bibliographic record
Abstract
OBJECTIVES: To examine the relationship between depression among medically ill, frail elders and family caregivers' hours of care, health status, and quality of life. DESIGN AND METHODS: A cross-sectional study of 193 family caregivers of seniors treated in the emergency department (ED) was conducted. Measures included patient depression (Geriatric Depression Scale-15), and caregivers' hours of care, mental health and physical functioning (SF-36), and quality of life (EQ-5D). RESULTS: Mean caregiver age was 60.0 +/- 16.1 years and 70.5% were female. More caregivers of depressed seniors provided more care in the previous month (37.3% vs 22.4%, p = 0.03), had poor mental health (63.5% vs 47.0%, p = 0.03), and poor perceived quality of life (63.5% vs 50.4%, p = 0.04) compared to caregivers of non-depressed seniors. Multiple logistic regression analyses indicated that patient depression was associated with poor caregiver quality of life (OR = 3.15, 95% CI 1.48, 6.73), and poor mental health in spousal and adult child caregivers (OR = 2.72, 95% CI = 0.88, 8.39, and OR = 3.29, 95% CI = 1.10, 9.86, respectively). CONCLUSIONS: Psychosocial support may be needed for caregivers of depressed seniors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".