Validation of Bengali version of Edmonton Symptom Assessment Scale-Revised (ESAS-r Bengali): A multidimensional symptom assessment tool for patients with advanced incurable diseases receiving palliative care
Bibliographic record
Abstract
Objective: Routine symptom assessment represents the cornerstone of symptom management of patients with advanced incurable diseases in palliative care. At present, there is no validated tool to assess symptoms among the Bengali-speaking population with incurable diseases. The aim of the study is to translate, culturally adapt, and validate the Edmonton Symptom Assessment Scale (Revised) into Bengali language. Methods: The study was conducted in two phases. Forward and backward translations of the English version of the Edmonton Symptom Assessment Scale (Revised) into Bengali were conducted by four independent translators. After obtaining reviews from an expert committee, pre-testing and cognitive debriefing the Bengali version of the tool was finalized. The final validation was conducted among 110 patients admitted to the Palliative Medicine Department of Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh. Validity (content, face, and construct validity) and reliability (internal consistency) were assessed in the final validation phase. Result: All participants responded to all items. Seventy percent of the participants completely understood all questions but 30% had difficulty with three questions. The expert committee expressed their satisfaction regarding the face and content validity of the questionnaire. The Bengali version also had high reliability (α = 0.862). Principal component analysis with the distribution of varimax rotation of Edmonton Symptom Assessment Scale (Revised) Bengali ranged from 0.41 to 0.83. Conclusion: After the translation and cross-cultural adaptation, the Bengali version of the Edmonton Symptom Assessment Scale (Revised) achieved good levels of validity and reliability. It can be used as a symptom assessment tool for Bengali speaking population receiving palliative care.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".