Implementing a Patient-Reported Outcome Measure for Hemodialysis Patients in Routine Clinical Care
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: The Edmonton Symptom Assessment System Revised: Renal is a patient-reported outcome measure used to assess physical and psychosocial symptom burden in patients treated with maintenance dialysis. Studies of patient-reported outcome measures suggest the need for deeper understanding of how to optimize their implementation and use. This study examines patient and provider perspectives of the implementation process and the influence of the Edmonton Symptom Assessment System Revised: Renal on symptom management, patient-provider communication, and interdisciplinary communication. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Eight in-facility hemodialysis programs in Ontario, Canada, assessed patients using the Edmonton Symptom Assessment System Revised: Renal every 4-6 weeks for 1 year. Screening and completion rates were tracked, and pre- and postimplementation surveys and midimplementation interviews were conducted with patients and providers. A chart audit was conducted 12 months postimplementation. RESULTS: =319), respectively. Nine patients/caregivers from three sites and 48 providers from all sites participated in interviews. A total of 1207 charts were audited. Seven of eight sites had mean screening rates over 80%, suggesting that routine use of the Edmonton Symptom Assessment System Revised: Renal in clinical practice is feasible. However, the multiple data sources painted an inconsistent picture of the value and effect of the Edmonton Symptom Assessment System Revised: Renal. The Edmonton Symptom Assessment System Revised: Renal standardized symptom screening processes across providers and sites; improved patient and provider symptom awareness, particularly for psychosocial symptoms; and empowered patients to raise issues with providers. Yet, there was little, if any, statistically significant improvement in the metrics used to assess symptom management, patient-provider communication, and interdisciplinary communication. CONCLUSIONS: The Edmonton Symptom Assessment System Revised: Renal patient-reported outcome measure may be useful to standardize symptom screening, enhance awareness of psychosocial symptoms among patients and providers, and empower patients rather than to reduce symptom burden.
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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 | 0.016 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".