Improving urinary catheterisation practices in a rural hospital in Ontario
Bibliographic record
Abstract
INTRODUCTION: A urinary catheter constitutes a one-point patient restraint, can induce deconditioning and may lead to patient mortality. An audit performed at Winchester District Memorial Hospital revealed that 20% of patients had a urinary catheter, of whom 31% did not meet the criteria for catheterisation. The main objective of this study was to use the Influencer Change Model and the Choosing Wisely Canada toolkit to create a bundle of interventions that would reduce the unnecessary use of urinary catheters in hospitalised patients. METHODS: In a rural teaching hospital, a time-series quasi-experiment was employed to decrease inappropriate use of urinary catheters. Both the Choosing Wisely Canada toolkit for appropriate use of urinary catheters and the Influencer change management approach were used to create effective interventions. RESULTS: This study revealed that there was no improvement in appropriate urinary catheter use during Plan-Do-Study-Act (PDSA) cycle 1. There was gradual improvement during PDSA cycle 2, with the percentage of inappropriate urinary catheter use dropping from an initial 31% before any interventions to less than 5% by the end of this study. DISCUSSION/CONCLUSION: This study aimed to reduce the inappropriate use of urinary catheters in a rural hospital with limited resources. The findings indicate that by using a change model, such as the Influencer Change Model, it is possible to promote better patient care through empowering healthcare staff to implement accepted protocols more stringently and thereby to decrease the inappropriate use of urinary catheters to 0%.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".