Impact of promotion of hand hygiene on prevention of nosocomial infections
Bibliographic record
Abstract
OBJECTIVE To explore the measures of the hand hygiene of medical staff and investigate the role of hand hygiene in the prevention of nosocomial infections so as to improve the compliance of the hand hygiene.METHODS The practice experience and the related literature report were summarized,the compliance of the hand hygiene of the medical staff was improved through strengthening the construction of hand hygiene facilities,actively publicizing,developing the hand hygiene training,and incorporating the hand hygiene condition to the performance appraisal.RESULTS The consumption of hand hygiene products showed an increasing trend after strengthening the hand hygiene compliance of healthcare work,increasing from three departments with the consumption more than 20 ml per bed day in the first quarter of 2009 to fourteen departments in the fourth quarter of 2010,however,the number of the departments with the consumption less than 5 ml per bed day decreased from 32 to 6.The incidence rate of nosocomial infections decreased from 3.1% in 3008 to 2.2% in 2009 and 1.7% in 2010,showing a downward trend.CONCLUSION It is an effective way to reduce the incidence rate of nosocomial infections through strengthening the concept and the intensity of implementation of hand hygiene.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".