Reduction of bacterial contamination in a healthcare environment by silver antimicrobial technology
Bibliographic record
Abstract
This paper describes a pilot study undertaken in a major acute trust investigating reduction of bacterial contamination in a healthcare environment attributable to the use of silver antimicrobial (BioCote®) technology. The four month study assessed the impact of various BioCote®-treated products on the counts of viable bacteria cultured from the treated environment compared to a control. A mean reduction in bacterial counts of 95.8% was demonstrated on the BioCote®treated surfaces compared with untreated surfaces. A mean reduction of 43.5% was demonstrated on untreated products positioned in the same environment as BioCote®-treated products compared with control untreated products. This suggests decontamination is not limited to treated materials but can extend to the wider environment because of the presence of antimicrobial materials. In the light of increasing evidence implicating the role of the environment in healthcare acquired infection, the potential of BioCote®-treated products to provide an additional infection control mechanism is highlighted.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".