Lessons learned from the investigation of a sustained increase in paclitaxel hypersensitivity reactions (P-HSR) at a large community oncology practice: A mystery not fully solved.
Bibliographic record
Abstract
233 Background: Trillium Health Partners (THP) is a large community oncology practice that has a culture of quality and safety. An investigation was triggered by a perceived increase in the rate of P-HSR during a weekly quality huddle in the chemotherapy suite. At the time THP had no formal hypersensitivity reaction tracking process. A retrospective review of P-HSR over the preceding 18 months identified an increase in reaction rates from a baseline of 1% to 4.5% that started 3 months prior to the raised concern. Methods: A systematic quality review was undertaken to identify triggers for the change and to identify steps to decrease P-HSR to baseline. There was no identified change in premedication, administration or compounding practice and no association with drug or lot number was identified. The increase in P-HSR was coincident with a change in the intravenous (IV) pumps and tubing system across the hospital. The change in IV pumps introduced several potential triggers including: a change in the options for priming the IV tubing which introduced a potential for variable concentrations of drug reaching the patient at the outset of the infusion, an interaction between drug and IV tubing, and a doubling of the IV tubing length which could result in incomplete delivery of the premedication. Results: Sequential practice changes were introduced to address each potential driver including i) a slow infusion protocol for first 2 cycles, ii) alternative tubing sets, iii) practice alert regarding potential for under-delivery of premedication. Over time P-HSR trended down towards the historic baseline, no single intervention had a sustained impact, although the practice alert regarding the administration of premedication seemed to induce the most change. A step wise withdrawal of interventions that were felt to be non impactful is underway. Conclusions: Although no clear cause for the increase in P-HSR was identified the systematic quality review resulted in improved standardization of nursing practice for chemotherapy delivery and the methodical approach also lead to the establishment of a more comprehensive hypersensitivity reporting system at THP.
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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 | 0.021 | 0.067 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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".