Implementation of the Edmonton Symptom Assessment System for Symptom Distress Screening at a Community Cancer Center: A Pilot Program
Bibliographic record
Abstract
BACKGROUND: Distress screening is mandated by the American College of Surgeons Commission on Cancer; however, there is limited literature on its impact in actual practice. We examined the impact of a pilot distress screening program on access to psychosocial care. METHODS: Edmonton Symptom Assessment System (ESAS) screening was routinely conducted at our community-based medical oncology program. Patients who screened positive for severe distress were sent to a social worker for triage and referred to the appropriate services if indicated. We compared the proportion of patients who had ESAS completed, the proportion of patients who screened positive, and the number of patients who had social work assessment and palliative care consultation over the preimplementation (September 2015), training (October/November 2015), and postimplementation (December 2015) periods. RESULTS: A total of 379, 328, and 465 cancer patients were included in the preimplementation, training, and postimplementation periods, respectively. The proportion of patients who completed ESAS increased over time (83% vs. 91% vs. 96%). Among the patients who had completed ESAS, between 11% and 13% were positive for severe distress, which remained stable over the three periods. We observed a significant increase in social work referrals for psychosocial assessment (21% vs. 71% vs. 79%). There was also a trend towards an increased number of palliative care referrals (12% vs. 20% vs. 28%). CONCLUSION: Our community-based cancer center implemented distress screening rapidly in a resource-limited setting, with a notable increase in symptom documentation and psychosocial referral. IMPLICATIONS FOR PRACTICE: The American College of Surgeons Commission on Cancer mandates distress screening; however, there is limited literature on how this process should be implemented and its impact on clinical practice. We used the Edmonton Symptom Assessment System for routine symptom distress screening in a community-based medical oncology program that provides care for an underserved population. Comparing before and after program implementation, we found an increase in the number of documentations of symptom burden and an increase in psychosocial referrals. Findings from this study may inform the implementation of routine symptom distress screening in cancer patients.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".