Evaluation of two instruments of perceived symptom intensity in palliative care patients in an outpatient clinic
Bibliographic record
Abstract
AIMS AND OBJECTIVES: To evaluate the test-retest stability in assessments of perceived symptom intensity on the Edmonton Symptom Assessment System-revised and the European Organization for Research and Treatment of Cancer, Quality of Life Questionnaire Core 15 Palliative. The possible interchangeability between the instruments and the patients' experiences of completing the instruments were also studied. BACKGROUND: The two instruments assess the same symptoms, but the symptom intensity is assessed on 11-point numerical scales on the Edmonton Symptom Assessment System-revised and on four-point verbal descriptive scales on the European Organization for Research and Treatment of Cancer, Quality of Life Questionnaire Core 15 Palliative. Both instruments are commonly used; however, uncertainty exists about which instrument should be recommended and about the interchangeability of the instruments. DESIGN: This study used a test-retest design with inter-scale comparisons. METHODS: Data from 54 patients with cancer who were receiving palliative care in an oncology outpatient clinic were self-reported by the patients in the clinic, at home and when patients returned to the clinic. RESULTS: The assessments on the European Organization for Research and Treatment of Cancer, Quality of Life Questionnaire Core 15 Palliative verbal rating scales showed a higher level of test-retest stability than the assessments on the Edmonton Symptom Assessment System-revised numerical scoring scales, indicating higher reliability. The correspondence between the verbal categories and the numerical scores of symptom intensity were low because different verbal categories were used by patients who assessed the same numerical score. CONCLUSIONS: The test-retest stability in the assessments was higher on the European Organization for Research and Treatment of Cancer, Quality of Life Questionnaire Core 15 Palliative and the results show that assessments on the two instruments could not be used interchangeably. Therefore, the symptom instrument chosen must be specified and unchanged within a patient to improve efficacy in clinical practice. RELEVANCE TO CLINICAL PRACTICE: The Edmonton Symptom Assessment System-revised or the European Organization for Research and Treatment of Cancer, Quality of Life Questionnaire Core 15 Palliative can be used for initial assessments of patients, but should not be compared or used interchangeably. It is vitally important to have individual follow-up for all patients who score an instrument.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".