Urine collection practices in a small rural hospital: Evaluation of alignment with antimicrobial stewardship guidelines
Bibliographic record
Abstract
Background: The diagnosis of a symptomatic urinary tract infection (UTI) can be challenging among elderly patients, resulting in an increased risk for specimen collection and treatment of asymptomatic patients. The Vancouver Coastal Health Authority’s Antimicrobial Stewardship Guidelines provide a systematic approach to support clinicians in the assessment and treatment of UTIs. The purpose of this quality review was to evaluate if urine collection practices were in alignment with the guidelines. Methods: The review involved a retrospective examination of all urine specimens collected from medical and surgical patients of a small rural hospital from September 1, 2015 to August 31, 2016. A survey of staff was also conducted to evaluate the interdisciplinary team’s knowledge of urine collection and interpretation and to assess concordance with the guidelines. Results: 318 urine cultures were reviewed, of which only 78 (24.5%) met microbiologic criteria and were considered to be positive cultures. A large proportion of samples resulted in mixed organisms. There was a highly statistically significant relationship between urinalysis and a positive culture (Fisher’s exact test p < 0.0001). A positive urine culture (> 100 million CFU/L) was statistically significantly more likely to be observed when there was a positive urinalysis. Conclusions: Older adults represent a large and growing population of hospitalized patients. Diagnosis of a symptomatic UTI in the elderly can pose challenges. Urine cultures are frequently obtained and a high proportion sent for culturing with missing or negative urinalysis. Urinalysis results are pertinent in the diagnosis of a UTI as there is correlation between a positive urinalysis and a positive urine culture. Adoption of a systematic approach in the management of UTIs would result in consistent and appropriate assessment and treatment of UTIs for elderly patients.
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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 | 0.020 | 0.122 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".