Interventional study to evaluate the impact of an alcohol-based hand gel in improving hand hygiene compliance
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effects of the introduction of an alcohol-based hand gel and multifaceted quality improvement (QI) interventions on hand hygiene (HH) compliance. DESIGN: Interventional, randomized cohort study with four study phases (baseline; limited intervention in two units; full intervention in three units; washout phase), performed in three intensive care units at a pediatric referral hospital. METHODS: During 724 thirty-minute daytime monitoring sessions, a nonidentified observer witnessed 12,216 opportunities for HH and recorded compliance. INTERVENTIONS: Introduction of an alcohol-based hand gel; multifaceted QI interventions (educational program, opinion leaders, performance feedback). RESULTS: Baseline compliance decreased after the first 2 weeks of observation from 42.5% to 28.2% (presumably because of waning of a Hawthorne effect), further decreased to 23.3% in the limited intervention phase and increased to 35.1% after the introduction of a hand gel with QI support in all three units (P < 0.001). The rise in compliance persisted in the last phase (compliance, 37.2%); however, a gradual decline was observed during the final weeks. Except for the limited intervention phase, compliance achieved through standard handwashing and glove use remained stable around 20 and 10%, respectively, whereas compliance achieved through gel use increased to 8% (P < 0.001). After adjusting for confounding, implementation of the hand gel with QI support remained significantly associated with compliance (odds ratio, 1.6; 95% confidence interval, 1.4 to 1.8). In a final survey completed by 62 staff members, satisfaction with the hand gel was modest (45%). CONCLUSIONS: We noted a statistically significant, modest improvement in compliance after introduction of an alcohol-based hand gel with multifaceted QI support. When appropriately implemented, alcohol-based HH may be effective in improving compliance.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".