Symptom Burden Is Lower in Asian and Pacific Islander and Black Men Admitted to Home-Based Palliative Care in an Integrated Health Care System
Bibliographic record
Abstract
Background: Little is known about racial/ethnic differences in symptom severity among patients receiving home-based palliative care (HomePal). Objectives: To determine whether symptom severity differs between White patients and patients of color receiving HomePal and whether gender moderates the difference. Design: This is a cross-sectional exploratory study. Setting/Subjects: Baseline data were from 2090 patients receiving HomePal in Kaiser Permanente Southern California. Measurements: Multivariable median regression analyses were carried out across race/ethnicity groups and stratified by gender to assess differences in Edmonton Symptom Assessment System (ESAS) scores at HomePal admission. Results: Asian/Pacific Islander men and Black men had lower ESAS scores compared than White men (−5 [−7.8, −2.2], p = 0.0005 and −5.4 [−8.7, −2.1], p = 0.001, respectively); there were marginal ESAS differences across race/ethnic groups for women. Conclusion: Patients of color reported lower symptom severity than White patients. More research is needed to understand how the intersection of culture and gender affects symptom experience and reporting in patients living with serious illness. Trial Registration: ClinicalTrials.gov: NCT#03694431.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".