Pilot testing of triage coding system in Home-based palliative care using edmonton symptom assessment scale
Bibliographic record
Abstract
INTRODUCTION: Home-based palliative care is an essential model of palliative care that aims to provide continuity of care at patient's own home in an effective and timely manner. This study was a pilot test of triage coding system in home-based palliative care using Edmonton Symptom Assessment System (ESAS) scale. METHODS: Objective of the study was to evaluate if the triage coding system in home-based palliative care: (a) Facilitated timely intervention, (b) improved symptom control, and (c) avoided hospital deaths. Homecare services were coded as high (Group 1 - ESAS scores ≥7), medium (Group 2 - ESAS scores 4-6), and low (Group 3 - ESAS scores 0-3) priority based on ESAS scores. In high priority group, patients received home visit in 0-3 working days; medium priority group, patients received home visit in 0-10 working days; and low priority group, patients received home visit in 0-15 working days. The triage duration of home visit was arbitrarily decided based on the previous retrospective audit and consensus of the experts involved in prioritization and triaging in home care. RESULTS: "High priority" patients were visited in 2.63 ± 0.75 days; "medium priority" patients were visited in 7.00 ± 1.5 days, and "low priority" patients were visited in 10.54 ± 2.7 days. High and medium priority groups had a statistically significant improvement in most of the ESAS symptoms following palliative home care intervention. Intergroup comparison showed that improvement in symptoms was the highest in high priority group compared to medium and low priority group. There was an 8.5% increase in home and hospice deaths following the introduction of triage coding system. There was a significant decrease in deaths in the hospital in Group 1 (6.3%) (χ (2) = 27.3, P < 0.001) compared to Group 2 (28.6%) and Group 3 (15.4%). Group 2 had more hospital deaths. Interval duration from triaging to first intervention was a significant predictor of survival with odds ratio 0.75 indicating that time taken for intervention from triaging was more significantly affecting survival than group triaging. CONCLUSION: Pilot study of testing triaging coding system in home-based palliative care showed, triage coding system: (a) Facilitated early palliative home care intervention, (b) improved symptom control, (c) decreased hospital deaths, predominantly in high priority group, and (d) time taken for intervention from triaging was a significant predictor of survival.
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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 | 0.014 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".