Can Family Caregivers of Terminally Ill Patients Be a Reliable Source of Information About the Severity of Patient Symptoms?
Bibliographic record
Abstract
This study examines the reliability of family caregivers' assessments of a terminally ill patient's symptoms and identifies patient and caregiver characteristics that affect the reliability of caregiver reports. It compares the reports of 143 patients in home hospice units with those of their family caregiver about patient symptoms during the 3 days preceding the interview (Edmonton scale). Correlation coefficients between the patients' and proxies' reports were 0.5 to 0.8, indicating moderate-to-high agreement. Characteristics that had an independent effect on identical reporting were the patient being fully disabled, the care-giver being a woman in good health, the caregiver living with the patient, and the caregiver providing assistance with activities of daily living and medical care. These results suggest that primary caregivers can be a good source of information about a patient's symptoms, although their reports should be used with caution.
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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 | 0.018 | 0.189 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".