Testing the feasibility of using the Edmonton Symptom Assessment System (ESAS) to assess caregiver symptom burden
Bibliographic record
Abstract
OBJECTIVE: Caregiver symptom assessment is not part of regular clinical cancer care. The ESAS (Edmonton Symptom Assessment System) is a multidimensional tool regularly used to measure symptom burden in patients but not caregivers. The objectives of the present study were to determine the feasibility of the ESAS in caregiver completion (defined as ≥ 9 of 12 items) and determine its concurrent validity with the Zarit Burden Interview-12 (ZBI-12). METHOD: We conducted a prospective study on 90 patient-primary caregiver dyads seen in an outpatient supportive care center in a cancer center. The 12 item ESAS-FS (financial-spiritual) was completed by the dyads along with other clinical and psychosocial measures. RESULTS: The caregiver ESAS was found to be feasible (90/90 caregivers, 100% completed ≥ 9/12 items) and useful (66/90 caregivers, 73%) by caregivers to report their symptom burden. Some 68 of 90 (76%) caregivers had symptom distress scores ≥ 4 on at least one symptom. A significant association was found between the ESAS scores of caregivers and patients for fatigue (0.03), depression (<0.01), anxiety (<0.01), sleep (0.05), well-being (<0.01), financial distress (<0.01), spiritual pain (<0.01), and total ESAS score (<0.01). Concurrent validity with the ZBI-12 was not achieved (r = 0.53, p = 0.74). A significant correlation was found between caregiver ESAS scores and time spent feeding, housekeeping, total combined caregiver activities, and total ZBI-12 scores. SIGNIFICANCE OF RESULTS: The caregiver ESAS is a feasible tool and was found useful by our caregivers. Further research is needed to modify the ESAS based on caregivers' recommendations, and further psychometric studies need to be conducted.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".