Catheter use and infection reduction in plastic surgery
Bibliographic record
Abstract
BACKGROUND: Catheter-associated urinary tract infections (CAUTI) are the most common hospital-associated infection and can result in increased health care costs, morbidity and even mortality. In 2009, The Scott & White Memorial Hospital/Texas A&M Health Science Center (Texas, USA) system's CAUTI rate placed it in the upper quartile (ie, highest rate) for the country, necessitating a system-wide change. OBJECTIVE: To design and implement a guideline to reduce the incidence of CAUTI. METHODS: A multidisciplinary team was formed and completed both a root cause analysis and a review of the available literature. Consolidating the best evidence, the team formulated a best practice guideline detailing the proper indications for insertion of, improper use of and techniques to minimize infection with catheters. Included as part of this protocol was nursing and patient education, changes in identifying patients with a catheter and automatic termination orders. Three-, six- and 12-month reviews identifying additional opportunities for improvement at the end of 2010 were completed. RESULTS: In 2009, the hospital's CAUTI rate was 1.46 per 1000 catheter days. In 2011 - the first complete year of the finalized guideline - the hospital's CAUTI rate was 0.52 per 1000 catheter days, ranking the institution in the bottom quartile (ie, lowest rate) for the country. The surgery and plastic surgery subgroup analyses also demonstrated statistically significant reduction in both catheter use and CAUTI. CONCLUSION: The incidence of CAUTI was successfully reduced at The Texas A&M Healthcare Center. The guideline, its development and how it applies to plastic surgery patients are discussed.
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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 | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".