Predictive Role of Different Dimensions of Burden for Risk of Complicated Grief in Caregivers of Terminally Ill Patients
Bibliographic record
Abstract
The aim of the study was to test whether high levels of caregiver burden, as other confirmed predictors, are associated with the risk of prolonged grief disorder in caregivers of terminally ill patients. A predictive study was carried out in order to test the hypothesis. A demographic schedule, the Prolonged Grief 12 (PG-12), the Toronto Alexithymia Scale, Hamilton Anxiety Rating Scale, Hamilton Depression Rating Scale, and Caregiver Burden Inventory were administered to 60 caregivers of 51 patients who were admitted in Hospice. In the regression analysis, difficulty in recognizing emotions, total burden, depression, and developmental burden dimension were significant predictors of PG-12 levels. Findings showed that feeling of deprivation of existential expectations represents the greater risk factor for the prolonged grief disorder, among the burden dimensions.
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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 | 0.008 |
| 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 | 0.000 | 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".