Development and Evaluation of Evidence-Informed Clinical Nursing Protocols for Remote Assessment, Triage and Support of Cancer Treatment-Induced Symptoms
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The study objective was to develop and evaluate a template for evidence-informed symptom protocols for use by nurses over the telephone for the assessment, triage, and management of patients experiencing cancer treatment-related symptoms. Guided by the CAN-IMPLEMENT© methodology, symptom protocols were developed by, conducting a systematic review of the literature to identify clinical practice guidelines and systematic reviews, appraising their quality, reaching consensus on the protocol template, and evaluating the two symptom protocols for acceptability and usability. After excluding one guideline due to poor overall quality, the symptom protocols were developed using 12 clinical practice guidelines (8 for diarrhea and 4 for fever). AGREE Instrument (Appraisal of Guidelines for Research and Evaluation) rigour domain subscale ratings ranged from 8% to 86% (median 60.1 diarrhea; 40.5 fever). Included guidelines were used to inform the protocols along with the Edmonton Symptom Assessment System questionnaire to assess symptom severity. Acceptability and usability testing of the symptom populated template with 12 practicing oncology nurses revealed high readability (n = 12), just the right amount of information (n = 10), appropriate terms (n = 10), fit with clinical work flow (n = 8), and being self-evident for how to complete (n = 5). Five nurses made suggestions and 11 rated patient self-management strategies the highest for usefulness. This new template for symptom protocols can be populated with symptom-specific evidence that nurses can use when assessing, triaging, documenting, and guiding patients to manage their-cancer treatment-related symptoms.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it