The associated impact of standardized admission screening on vancomycin-resistant <i>Enterococci</i> bloodstream infections
Bibliographic record
Abstract
OBJECTIVE: (VRE) in Alberta, Canada, acute-care facilities had an associated impact on the rate of rise of hospital-acquired (HA) VRE bloodstream infection (VRE-BSI). SETTING: Acute-care facilities in Alberta, Canada. PATIENTS: All patients who were admitted to Alberta Health Services or Covenant Health acute-care facilities between January 1, 2013, and March 31, 2020, and who met the definition for hospital-acquired VRE-BSI were included in the analyses. METHODS: An intervention time-series Poisson regression was used to determine the slope change in VRE incidence between the pre- and postintervention (screening) periods. The patient population was separated into 3 cohorts: group 1 (low risk, VRE screening stopped), group 2 (high risk, VRE screening stopped), and group 3 (high risk, VRE screening continued). For all groups, a level- and slope-change model was used. RESULTS: We did not find a statistically significant difference in the slope change or rate of rise in VRE-BSI before and after the intervention, with incidence rate ratio (IRRs) of 1.015 (95% confidence interval [CI], 0.982-1.049), 1.025 (95% CI, 0.967-1.086), and 0.989 (95% CI, 0.924-1.059) for groups 1, 2 and 3, respectively. CONCLUSIONS: In Alberta, the rate of HA VRE-BSI has remained consistent, and our findings indicate that there has been no increase in the rate of rise of HA VRE-BSI in sites or units that discontinued screening for VRE, regardless of patient risk group.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".