Hand Hygiene Compliance in the Prevention of Nosocomial Infections in the Neonatal Unit of the National University Teaching Hospital of Cotonou
Bibliographic record
Abstract
Objective: Despite the presence of hand washing material and the training given to medical staff regarding hygiene measures and health care procedures in October 2015, the prevalence of nosocomial infections in the neonatal unit of the National University Teaching Hospital of Cotonou (CNHU-Cotonou) was estimated at 8% in January 2016. To determine the factors that contribute to these infections, this study assessed medical staff compliance with hand hygiene measures and procedures. Method: This research was a cross-sectional and observational study conducted from February 15 to March 31, 2016 through direct and cautious observation of 47 members of the medical and paramedical staff. The study variables were hand washing before entering the neonatal unit and before entering each treatment room, hand washing before and after seeing each patient, compliance with hand washing steps, the use of hydroalcoholic solutions and adhering to the ban on mobile phone use inside the treatment room. Results: Only 15% of the medical staff followed all of the rules and measures governing hand hygiene. The result showed that 76.6% of them did not wash their hands before entering the unit; 32% washed their hands before each care session; 95.7% washed their hands after each care session; and 85% did not comply with the hand washing steps. Only 21.3% of the personnel used hydroalcoholic solution, and only 85% of the personnel adhered to the ban on mobile phone use within the treatment room. Conclusion: Compliance with hand hygiene measures is insufficient. These low compliance rates facilitate the occurrence of nosocomial infections. Nosocomial infections could be prevented by identifying the reasons that medical personnel do not wash their hands and by implementing a program for education/awareness on hygiene measures based on an analysis of errors and care procedures and sustained by regular evaluations.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".