Development and Validation of a Modified Version of the Edmonton Symptom Assessment Scale in a Flemish Palliative Care Population
Bibliographic record
Abstract
Palliative cancer patients are faced with multiple symptoms that threaten their quality of life. To manage these symptoms, a reliable and valid way of registration is crucial. In this study, the Edmonton Symptom Assessment Scale (ESAS) has been translated, modified, and tested on content, face, criterion, construct validity, and internal consistency for patients admitted to Flemish palliative care units. These aspects are tested in a descriptive, comparative, longitudinal study based on 3 convenience samples. The first consisted of 8 palliative care experts. The second sample checked the face validity and consisted of 4 patients, 5 family members, and 5 nurses. The last sample involved 23 patients admitted to 3 Flemish palliative care units. Heedful of the "new-wave" vision on validity, the translated and altered ESAS seemed a suitable instrument for the symptom assessment of patients with cancer admitted to a palliative care unit.
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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 | 0.011 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".