Percutaneous venepuncture practice in a large urban teaching hospital
Bibliographic record
Abstract
Occupational exposure to bloodborne pathogens remains an important and largely preventable issue in hospital practice. This article argues that formal training can increase use of best practice phlebotomy. A survey of at-risk healthcare workers at a central London hospital was conducted to identify factors associated with use of an evacuated blood collection system (BD Vacutainer and gloves while taking blood. Eighty per cent of doctors and 37% of non-doctors performing percutaneous venepuncture did not use the Vacutainer system exclusively. Doctors qualified less than three years were particularly likely to prefer needle and syringe. Venepuncture technique training significantly increased the probability of always using the Vacutainer system from 7% to 46%. The only factor independently associated with glove use was operator experience. There is considerable room for improvement in phlebotomy technique, particularly among junior doctors. The Modernising Medical Careers initiative provides a unique opportunity to implement this.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".