Prolonged Grief in Palliative Family Caregivers
Bibliographic record
Abstract
Caregivers are particularly vulnerable to experience intense levels of distress following the loss. The aim of this prospective pilot study is to determine the incidence of prolonged grief disorder symptoms among caregivers. A total of 73 bereaved families responded to the Prolonged Grief Disorder Evaluation Instrument (PG-13) at 6 and 12 months following their loss. The incidence of prolonged grief disorder at the first assessment was 28.8%, and it decreased to 15.1% at the second assessment. The prevalence of prolonged grief disorder declined significantly over time (p = .041). In the second evaluation, six bereaved individuals continued to meet criteria for a diagnosis of prolonged grief disorder, 15 remitted, and 4 new (incident) cases emerged. The important differences in values that occur after 12 months suggest time is important in distinguishing between those at risk for persistent distress and those whose grief symptomatology will decrease with time.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".