CHILDREN’S HOSPITAL BAMBINO GESù (OPBG): PRELIMINARY RESULTS OF THE “THE 5 MILLION LIVES CAMPAIGN”
Bibliographic record
Abstract
Objective OPBG is involved in the Project “The 5 Million Lives Campaign”, launched by the Institute for Healthcare Improvement (IHI). The objective of this work is to promote awareness in hospital health care personnel about the control of hospital infections. Methods the project was launched in the first half of 2006, with the formation of three working multidisciplinary groups for each of the three selected interventions: prevention of surgical site infections, prevention of central line infections, and prevention of ventilator-associated pneumonia. Each group has designed a card with two functions: reporting correct activities and creating a check-list as a reminder of procedures to be implemented. Results Between May 2006–December 2007 4393 procedures were carried out relating to 736 mechanical ventilations, 2034 CVC and 1623 surgical wounds, detected on 3108 patients. In the first 6 months adherence to the project showed an upward trend, reaching a maximum value of 89.42% in 8 months. In the subsequent 12 months there has been a substantial plateau with an average value of roughly 77%. The percentage of infections associated with procedures has shown a significant reduction between the first and second quarter (rates decreased from 12.82% to 4.39%). In the following periods data showed a steady trend between 5% and 7%. Differences observed over time in rates of infection are statistically significant. Conclusion The study demonstrates that a few EBP may have a high clinical impact, as highlighted by a reduction in infections associated with the procedures.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".