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Record W2291746397 · doi:10.1093/ofid/ofv133.1260

Comparison of Surface Marker, Colony Count and ATP as a Means of Monitoring Environmental Cleaning Compliance for Intensive Care Discharge Rooms

2015· article· en· W2291746397 on OpenAlexaboutno aff
Michelle J. Alfa, Curtis J. Donskey, Ícaro Boszczowski, Joost Hopman

Bibliographic record

VenueOpen Forum Infectious Diseases · 2015
Typearticle
Languageen
FieldMedicine
TopicInfection Control and Ventilation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCompliance (psychology)Emergency medicineIntensive careIntensive care medicineEnvironmental health

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.290
Threshold uncertainty score0.577

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.045
GPT teacher head0.353
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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