Effect of a Multifaceted Intervention on Adherence to Hand Hygiene among Healthcare Workers: A Cluster-Randomized Trial
Bibliographic record
Abstract
OBJECTIVES: Adherence to hand hygiene among healthcare workers (HCWs) is widely believed to be a key factor in reducing the spread of healthcare-associated infection. The objective of this study was to evaluate the impact of a multifaceted intervention to increase rates of adherence to hand hygiene among HCWs and to assess the effect on the incidence of hospital-acquired methicillin-resistant Staphylococcus aureus (MRSA) colonization. DESIGN: Cluster-randomized controlled trial. SETTING: Thirty hospital units in 3 tertiary care hospitals in Hamilton, Ontario, Canada. INTERVENTION: After a 3-month baseline period of data collection, 15 units were randomly assigned to the intervention arm (with performance feedback, small-group teaching seminars, and posters) and 15 units to usual practice. Hand hygiene was observed during randomly selected 15-minute periods on each unit, and the incidence of MRSA colonization was measured using weekly surveillance specimens from June 2007 through May 2008. RESULTS: We found that 3,812 (48.2%) of 7,901 opportunities for hand hygiene in the intervention group resulted in adherence, compared with 3,205 (42.6%) of 7,526 opportunities in the control group (P < .001; independent t test). There was no reduction in the incidence of hospital-acquired MRSA colonization in the intervention group. CONCLUSION: Among HCWs in Ontario tertiary care hospitals, the rate of adherence to hand hygiene had a statistically significant increase of 6% with a multifaceted intervention, but the incidence of MRSA colonization was not reduced.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".