Delirium in Advanced Cancer: A Psychoeducational Intervention for Family Caregivers
Bibliographic record
Abstract
Delirium, a global brain dysfunction, develops frequently in advanced cancer. It is a leading source of distress for family caregivers. Following recommendations from palliative care professionals and caregivers for terminally ill cancer patients, a psychoeducational intervention was implemented in a palliative care hospice to help family caregivers cope with delirium and, eventually, to contribute to early detection. Prior to receiving information on delirium, the majority of the family caregivers did not know what it was or that it could be treated. Few knew that patients in terminal care could become delirious. For caregivers, receiving the intervention increased their confidence they were making good decisions, and the majority felt that all family caregivers should be informed on the risk of delirium (p < 0.009). A specific intervention on delirium, tailored to the needs of the family caregivers, seems beneficial for caregivers and for patients.
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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 | 0.003 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".