Validity and reliability of the Integrated Palliative Care Outcome Scale for non‐cancer patients
Bibliographic record
Abstract
AIM: This study assessed the validity and reliability of the Integrated Palliative Care Outcome Scale for non-cancer patients. METHODS: We recruited 223 non-cancer patients receiving palliative care and their healthcare providers (222) across two home care facilities and two hospitals for a cross-sectional study. We assessed the construct validity and known-group validity of the Integrated Palliative Care Outcome Scale. The weighted kappa and interclass correlation coefficients were assessed to ascertain reliability. RESULTS: The scale scores were significantly higher for the 'non-stable' group (worsening condition group) measured in the palliative care phase than for the 'stable' group (P < 0.001). Regarding validity, Spearman's correlations between similar items on the Integrated Palliative Care Outcome Scale and Edmonton Symptom Assessment System ranged from 0.61 to 0.94. Regarding reliability, the weighted kappa coefficients ranged from 0.53 to 0.81 for patients and from 0.58 to 0.90 for healthcare providers. For inter-rater reliability between patients and healthcare providers, the weighted kappa coefficients for each item ranged from 0.03 to 0.42. CONCLUSION: This study confirmed the validity and reliability of the Integrated Palliative Care Outcome Scale for non-cancer patients requiring palliative care. However, the inter-rater reliability indicates poor agreement between the assessments of patients and healthcare providers. This highlights the discrepancies between both their assessments and the importance of the patient's assessment. Geriatr Gerontol Int 2023; 23: 517-523.
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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 | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".