Optimizing practices to prevent urinary tract infection after cystoscopy and urodynamics in women: A quality improvement study
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to reduce the incidence of urinary tract infection (UTI) in women undergoing outpatient cystoscopy and/or urodynamic studies (UDS) at our centre by identifying and then altering modifiable risk factors through an analysis of incidence variability among physicians. METHODS: This was a quality improvement study involving adult women undergoing outpatient cystoscopy and/or UDS at an academic tertiary urogynecology practice. Prophylactic practices for cystoscopy/UDS were surveyed and division and physician-specific UTI rates following cystoscopy/UDS were established. In consultation with key stakeholders, this delineated change concepts based on associations between prophylactic practices and UTI incidence, which were then implemented while monitoring counterbalance measures. RESULTS: Two "Plan-Do-Study-Act-Cycles" were conducted whereby 212 and 210 women were recruited, respectively. Change concepts developed and implemented were: (1) to perform routine urine cultures at the time of these outpatient procedures, and (2) to withhold routine prophylactic antibiotics for outpatient cystoscopy/UDS, except in patients with signs of cystitis. There was no change in the incidence of early presenting UTI (9.0% vs. 9.2%, p = 0.680), but there were significantly fewer antibiotic-related adverse events reported (8.5% vs. 1.5%, p = 0.001). There was no significant change in the total incidence of UTI rates between cycles (7.8% vs. 5.6%, p = 0.649). CONCLUSIONS: No specific strategies to decrease the incidence of UTI following outpatient cystoscopy/UDS were identified, however, risk factor-specific antibiotic prophylaxis, as opposed to universal antibiotic prophylaxis, did not increase UTI incidence.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".