Comparison of Surface Marker, Colony Count and ATP as a Means of Monitoring Environmental Cleaning Compliance for Intensive Care Discharge Rooms
Bibliographic record
Abstract
Background. Monitoring as an important quality process to ensure adequacy of environmental cleaning in healthcare is advocated. However, there are little data comparing monitoring using surface marker, colony count or ATP. The study objective was to determine the performance of these three monitoring methods in ICU discharge rooms in Canada and the Netherlands to identify if there were differences in clinical application of monitoring in different countries. Figure 1. Environmental cleaning monitoring in ICUs in Canada and the Netherlands. Figure 2. Median RLUs and CFUs on ICU surfaces in Canada and the Netherlands. Methods. This prospective study assessed 5 high-touch sites (HTS) in 50 ICU rooms in both countries. HTS included any five of the following: procedure table, bedside table, computer keyboard, bedrail, pump or cardiac screen. A novel reflective surface marker (RSM) was used on each HTS after patient discharge but before cleaning (clean cutoff = total marker removal). Viable count was done using Rodac plates containing DEN agar (clean cutoff < 2.5 cfu/cm2) and ATP (measured as relative light units – RLUs) were tested before and after terminal cleaning (clean cutoff ≤250 RLUs). Results. Pre-cleaning 92.8% and 25.6% of HTS were "dirty" by RLU in Canada and Netherlands, respectively. Post-clean 75.3% and 8.4% were still "dirty" by RLU in Canada and the Netherlands, respectively (figure 1). The median pre and post clean CFUs and RLUs are shown in (figure 2). The bedrails pre-clean had the highest bacterial level of Canadian HTS and in the Netherlands (bedrails not tested) it was the computer keyboard. Post-cleaning RSM was removed from 84.5% and 60% of HTS, in Canada and the Netherlands, respectively (figure 1). Conclusion. The Netherlands pre and post-cleaning level of viable bacteria and ATP residuals were significantly lower (P < 0.01) than in Canadian ICUs. A possible explanation could be the absence of handwash sinks in the Netherlands ICU rooms, with subsequent lower environmental contamination. Alternatively, surface material differences may be a factor. There was a significant reduction in colony count and ATP (p < 0.01) post-cleaning in both countries. In the Netherlands but not in Canada, a pass post-cleaning by the ATP test correlated with a pass by colony count. The clinical application of the monitoring tests studied differed between these two countries. Disclosures. M. Alfa, 3M: Consultant, Investigator and Scientific Advisor, Consulting fee, Research grant and Speaker honorarium; Boszczowski, 3M: Consultant, Investigator and Scientific Advisor, Consulting fee, Research support and Speaker honorarium; J. Hopman, 3M: Consultant, Investigator and Scientific Advisor, Consulting fee, Research support and Speaker honorarium
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".