Identifying the Prevalence and Correlates of Caregiver-Reported Symptoms in Home Hospice Patients at the End of Life
Bibliographic record
Abstract
Background: Symptoms (e.g., pain, shortness of breath, and fatigue) at the end of life (EoL) are common. Although symptoms can contribute to poor quality of life at the EoL, much remains unknown regarding their prevalence and correlates in home hospice care. Objectives: To determine the prevalence and correlates of caregiver-reported symptoms in home hospice patients during the last week before discharge using the Edmonton Symptom Assessment Scale (ESAS). Design: This is a cross-sectional study measuring perceived patient symptoms using caregiver proxy data. Bivariate and multivariate analyses were conducted to examine patient and caregiver characteristics associated with ESAS scores. Setting/Subjects: Subjects were from an urban nonprofit home hospice organization. Measurements: Symptoms were measured using the ESAS. Results: The mean ESAS score was 51.2 (SD ±17.4). In bivariate analyses, higher perceived symptom score was associated with younger patient age ( p < 0.001), younger caregiver age ( p < 0.001), having a cancer diagnosis ( p = 0.006), and lower caregiver comfort level managing symptoms ( p < 0.001). Regression model analyses showed that younger patient age ( p = 0.0009, p = 0.0036) and lower caregiver comfort level managing symptoms ( p = 0.0047, p < 0.0001) were associated uniquely with higher symptom scores. Conclusions: Multiple symptoms of high severity were perceived by caregivers in the last week on home hospice. Patient age and caregiver comfort level in managing symptoms were associated with higher symptom scores. Further work is needed to improve management and treatment of symptoms in this care setting.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".