Significant Reduction of Catheter-associated Blood Stream Infections in Preterm Neonates After Implementation of a Care Bundle Focusing on Simulation Training of Central Line Insertion
Bibliographic record
Abstract
BACKGROUND: Central line-associated blood stream infections (CLABSIs) are common problems in neonatal intensive care units (NICUs). Implementation of catheter care bundles has been shown to reduce CLABSI rates. We developed a care bundle aiming at establishing a uniform central line insertion technique and improving teaching practices focusing on simulation-based techniques. The purpose of this study was to assess the impact of this care bundle on CLABSI rates in very low birth weight infants (VLBWI). METHODS: In September 2010, a CLABSI prevention bundle was introduced in our NICU, consisting of simulation-based standardization and education of a peripherally inserted central catheter insertion technique. Data of all VLBWI admitted to our NICU during 2010-2012 were analyzed. Diagnosis of CLABSI required a positive blood culture in the presence of a central venous catheter and clinical signs of infection. RESULTS: Five hundred twenty-six VLBWI admitted during the study period were included into the analysis. CLABSI rates decreased significantly from 13.9 in 2010 to 9.5 in 2011 and 4.7 in 2012 (P < 0.0001). This significant reduction was true for the overall population and for subgroups separated by birth weight. Distribution of blood culture pathogens revealed a constant absolute and relative decline of infections with coagulase-negative staphylococci from 2010 (n = 43/50, 86%) to 2012 (n = 12/18, 67%), as opposed by a slight increase of Staphylococcus aureus infections (n = 1/50, 2% in 2010 versus n = 2/18, 11% in 2012). CONCLUSION: Our data provide evidence of a potential effect of simulation-based training of central line placement in decreasing CLABSI rates in VLBWI and encourage its implementation into care bundles.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".