Assessment of emotional distress in palliative care: Edmonton Symptom Assessment System-revised (ESAS-r) vs Distress Thermometer
Bibliographic record
Abstract
OBJECTIVES: To evaluate the sensitivity and specificity of the Distress Thermometer (DT) as a screening tool for emotional distress in oncological palliative care patients and to compare the DT with the Edmonton Symptom Assessment System-revised (ESAS-r) and the gold standard to determine the most appropriate assessment method in palliative psychological care. METHODS: Data were collected from psychological screening tests (ESAS-r and DT), and clinical interviews (gold standard) were conducted by a clinical psychologist specialist in palliative oncology from January 2021 to January 2022 in an oncology palliative care service. RESULTS: = 206; 57.9%), 60.4% were married/with a partner, 55.4% had between 6 and 9 years of schooling, and a median age of 57 (range, 46-65) years. The cutoff of the DT was 5, with a sensitivity of 75.88% and specificity of 54.3%. Emotional problems (sadness and nervousness) had a greater area under the curve (AUC) when measured using the DT than the ESAS-r; however, only in the case of the comparative sadness and discouragement was the difference between the AUC marginally significant. SIGNIFICANCE OF RESULTS: The use of the DT as a screening tool in oncological palliative care is more effective in the evaluation of psychological needs than the ESAS-r. The DT, in addition to evaluation by an expert psychologist, allows for a more comprehensive identification of signs and symptoms to yield an accurate mental health diagnosis based on the International Classification of Diseases-11th Revision and/or Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".