A Review of the Reliability and Validity of the Edmonton Symptom Assessment System
Bibliographic record
Abstract
BACKGROUND: Systematic symptom reporting by patients and the use of questionnaires such as the Edmonton Symptom Assessment System (ESAS) have potential to improve clinical encounters and patient satisfaction. We review findings from published studies of the ESAS to guide use of the system and to focus research. METHODS: A systematic search for articles from 1991 through 2007 found thirty-nine peer-reviewed papers from 25 different institutions, thirty-three of which focused on patients with cancer. Observations, data, and statistics were collated according to relevance, reliability, validity, and responsiveness. RESULTS: Findings apply predominantly to symptomatic palliative patients with advanced cancer who were no longer receiving active oncologic therapies. Uncertainty about summarizing findings arises from frequent modification of the ESAS (altered items, scales, and time periods). Overall, reliability is established for daily administration. Scores are skewed, with a floor effect, but the relative order of symptoms by mean scores is similar across studies. Emotional symptoms are poorly captured by the depression and anxiety items. An equally weighted summation of scores may estimate a construct of "physical symptom distress," which in turn is related to performance status, palliative goals, quality of life, and well-being. CONCLUSIONS: The ESAS is reliable, but it has restricted validity, and its use requires a sound clinical process to help interpret scores and to give them an appropriate level of attention. Research priorities are to further develop the ESAS for assessing a greater number of important physical symptoms (and to target "physical symptom distress"), and to develop a similar instrument for emotional symptoms.
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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 | 0.043 | 0.156 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.021 | 0.017 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".