96 Introducing ward-based access to subcutaneous syringe drivers at a Tertiary Cancer Hospital
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Bibliographic record
Abstract
<h3>Aims</h3> To introduce a ward-based system for accessing and managing syringe drivers and to develop a tracking system to prevent syringe driver misplacement, improve timely availability and staff wellbeing through self-measured stress levels. Introduction: Between September 2021-August 2022 ten clinical incidents were identified relating to syringe driver access across the trust, and inaccessibility had been cited as a significant source of stress for staff. This represents a large financial risk with the cumulative cost of syringe drivers in the trust reaching almost £100,000. <h3>Method</h3> A pilot ward was given ownership of four syringe drivers to be kept on their ward. Ward staff kept a daily checklist of the location of the pumps and this was reviewed weekly, whilst also surveying how difficult access had been both in and out of hours and number of clinical incidents. Staff were also asked to self-report stress levels that they experienced while accessing syringe drivers. The outcomes each week were used to develop protocols for different scenarios, for example relocation of patients to hospices, or faulty pumps. <h3>Results</h3> Compared to baseline figures after the first cycle there was a self-reported 66% reduction in both stress and difficulty levels accessing pumps for staff in-hours. Similarly, when reviewing out-of-hours data there was a 75% reduction. Comprehensive roll-out of the tracking system on the ward ensured that 100% of syringe driver locations were tracked through cycles 2–5 with no losses reported. Notably, after cycle 5 there was a significant increase in stress levels related to pumps being lent out to other wards not involved in the pilot, and the financial risk of this. <h3>Conclusion</h3> A ward-based tracking system for syringe pumps can improve access, reduce stress and protect from financial loss. However, further adoption across the trust is awaited to ensure consistency and optimise ward-based tracking systems.
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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 | 0.000 | 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 | 0.000 | 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) | 0.001 | 0.001 |
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