Effectiveness of a simple intervention for prevention of catheter-associated urinary tract infections on a medical hospital unit
Bibliographic record
Abstract
Background: Urinary tract infections (UTI) are one of the most common hospital-acquired infections with 80% as a result of urinary catheterisation. Aim/Objective: This study examined the impact of a simple intervention consisting of a daily chart reminder in patients with indwelling urinary catheters (IUC) on the duration of catheter use and the incidence of catheter-associated UTIs (CAUTIs). Methods: The trial used a prospective pretest–post-test design with a control group over a six-month period conducted on two medical units of a community teaching hospital. We included all patients admitted to two medical units between 1 June and 30 November 2016 who had an IUC inserted at the study site. During the intervention phase, a sticker was placed in the charts of patients with urinary catheters reminding physicians to assess for catheter removal if not clinically necessary. Results: A total of 195 patients participated in this study (112 control unit, 83 intervention unit). There was a decrease in the duration of IUC use on the intervention unit from 11.7 days to 7.5 days ( P = 0.0028). There was a decrease in repeated catheterisation from 11.1% to 2.1% ( P = 0.0882), and CAUTIs from 17.5% to 4.6% ( P = 0.0552) but this did not reach statistical significance. Discussion: The implementation of a daily IUC reminder sticker in patient charts was associated with a significant reduction in the mean duration of indwelling catheter use with a trend towards a reduction in the frequency of repeated urinary catheterisation and rate of CAUTIs.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".