Handwash versus hand-rub practices for preventing nosocomial infection in hospital intensive care units: A systematic review and meta-analysis
Bibliographic record
Abstract
Background: Compliance with handwashing in busy healthcare facilities, such as intensive care units (ICUs), is suboptimal and alcohol hand-rub preparations have been suggested to improve compliance. There is no evidence on the comparative effectiveness between handwash and hand-rub strategies. This systematic review was to assess the effectiveness of handwash versus hand-rub strategies for preventing nosocomial infection in ICUs. Methods Studies conducted in ICUs and indexed in PubMed comparing the clinical effectiveness and adverse events between handwash and hand-rub groups were included in a systematic review. The primary outcome was nosocomial infection rates. Secondary outcomes included microbial counts on healthcare providers’ hands, mortality rates, patient/hospital cost of treatment of healthcare-associated infections (HCAIs), length of ICU/hospital stays, and adverse events. Studies were independently screened and data extracted by at least two authors. Meta-analyses of risk ratios (RR), incidence rate ratios (IRR), odds ratios (OR) and mean differences (MD), were conducted using the RevMan 5.3 software. Results: Seven studies published between 1992-2009 and involving a total of 11,663 patients were included. Five studies (10,981 patients) contributed data to the ICU-acquired nosocomial infection rates. The pooled IRR was 0.71 (95% CI 0.61, 0.82; I2 = 94%). On sensitivity analysis, pooled IRR was 0.39 (95% CI 0.32, 0.48; 4 studies; 8,247 patients; I2 = 0%) in favour of hand rub. The pooled OR for mortality was 0.95 (95% CI 0.78, 1.61; 4 studies; 3,475 patients; I2 = 39%). The pooled MD for length of hospital stay was -0.74 (95% CI -2.83, 1.34; 3 studies; 741 patients; I2 = 0%). The pooled OR for an undesirable skin effect was 0.37 (95% CI 0.23, 0.60; 3 studies; 1504 patients; I2 = 0%) in favour of hand rub. Overall quality of evidence was low. Conclusion: Hand rub appeared more effective when compared to handwash in ICUs.
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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 | 0.016 | 0.035 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.026 | 0.044 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".