Effect of intermittent deployment of an electronic monitoring system on hand hygiene behaviors in healthcare workers
Bibliographic record
Abstract
BACKGROUND: Improving hand hygiene compliance among healthcare professionals is the most effective way to reduce healthcare-acquired infections. Electronic systems developed to increase hand hygiene performance show promise but might not maintain staff participation over time. In this study, we investigated an intermittent deployment strategy to overcome potentially declining participation levels. METHODS: An electronic monitoring system was deployed 3times at 6-month intervals on a musculoskeletal rehabilitation nursing unit in Toronto. Each deployment lasted 4 consecutive weeks. Each wall-mounted soap and hand rub dispenser was outfitted with an activation counter to assess the impact of system deployments on overall handwashing activity. RESULTS: System deployments took place in October 2016, April 2017, and October 2017. A total of 76,130 opportunities were recorded, with an aggregate hand hygiene performance of 67.43%. A total of 515,156 dispenser activations were recorded. There was a significant increase in aggregate dispenser use with every deployment and a decrease over several weeks following each withdrawal. Participation was high at the beginning of each deployment and declined during each deployment but was restored to a high level with the start of the next deployment. CONCLUSIONS: Intermittent deployment of an electronic monitoring intervention counteracts potential declines in participation rates sometimes seen with continuous system use. However, adoption of this strategy requires the acceptance of lower periods of performance between each deployment.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".