Impact of Introducing Group e-Monitoring on Hand Hygiene Adherence and MRSA Acquisition at an Acute Care Teaching Hospital
Bibliographic record
Abstract
Background. The gold standard for hand hygiene adherence (HHA) measurement is observational audit (oaHHA), despite several studies documenting substantial and variable Hawthorne effects. Group e-monitoring (GEM) systems count dispenses of alcohol hand rub/soap on units, and use patient census, nurse-patient ratio, and studies of HHO to provide 24/7 HHA data. Data supporting their effect on HHA and on reducing healthcare-associated infections are limited. We report the results of pilot studies of GEM of HHA in our hospital. Methods. To complement our current multi-faceted hand hygiene program, we introduced the DebMed GMS system to 3 of 11 medical/surgical inpatient units in our hospital for 3 months in 2014. In June 2015, the system was reintroduced to the 3 units and to 4 additional in-patient units. We report data on HHA by observational audit and by e-monitoring and rates of MRSA acquisition and days of additional precautions for MRSA. Results. GEM data prior to pilot launch demonstrated estimated actual 24/7 HHA (eHHA) of 21%, 21%, and 39% on 3 units. Over the 3-month pilot, eHHA increased by 9%; over the next 12 months (data were no longer reported), HHA on these units declined to baseline. After re-introduction of the system in July 2015, eHHA increased more slowly; the overall rate of eHHA on monitored wards increased from 27.0% in Q3 2015 to 32.9% in Q1 2016. Increases in eHHA from Q1 to Q3 of implementation ranged from 1.9% to 12.3% on different units (figure 1). Comparing rates in the 2 years prior to introduction in June 2015 and those of the most recent 6 months, episodes of MRSA acquisition trended down from >3.0 to 0.20 /1000 patient-days (figure 2: P = 0.5), and patient-days in MRSA precautions decreased from 15.8 to 12.8 /1000 patient-days (figure 3, P < .001). Conclusion. Use of GEM significantly improved HHA in our hospital. Even small overall increases in HHA may be associated with clinically significant reductions in MRSA transmission. Disclosures. A. Mcgeer, DebMed: Investigator, Research support
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".