Depressive Symptoms, Grief, and Complicated Grief Among Family Caregivers of Patients With Advanced Cancer Three Months Into Bereavement
Bibliographic record
Abstract
PURPOSE/OBJECTIVES: to describe depressive symptoms, grief, and complicated grief for bereaved family caregivers of patients who died from cancer-related causes and to explore relationships among these variables. DESIGN: a nonexperimental, secondary analysis of cross-sectional descriptive data from a longitudinal intervention study evaluating the effect of providing feedback from standardized assessment tools. SETTING: two large, private, not-for-profit hospices in Florida. SAMPLE: convenience sample of 280 family caregivers, bereaved three months. METHODS: secondary analysis of self-report, survey data three months following death. MAIN RESEARCH VARIABLES: depressive symptoms, grief, and complicated grief. FINDINGS: Three months after the loss of a loved one, 34% of the caregivers had clinically meaningful scores for depressive symptoms. A significant number of bereaved caregivers were experiencing grief and depression. CONCLUSIONS: bereaved caregivers were experiencing significant levels of depressive symptoms and complicated grief. Caregivers with higher levels of grief had more depressive symptoms. IMPLICATIONS FOR NURSING: tools are available to identify bereaved caregivers most in need of intervention.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".