Cost Analysis and Service Delivery on Using Isiris α™ to Remove Ureteric Stents
Bibliographic record
Abstract
Introduction Isiris α™ (Coloplast®) is an innovative single-use disposable flexible cystoscope with an integrated ureteric stent grasper designed specifically to remove ureteric stents. It allows clinicians to remove ureteric stents easily on the wards or in clinics without the need of arranging a routine and dedicated flexible cystoscopy appointment for patients. We evaluated Isiris α’s practical use and cost analysis against traditional reusable endoscopes. Method We compared the cost of removing ureteric stents using Isiris α™ in 10 patients prospectively versus traditional flexible cystoscopes in 10 patients retrospectively. The costs of the equipment, medications, reprocess machines, and utility costs were consulted from the relevant departments and companies. As for labour cost, we have sourced British Medical Association (BMA) and Royal College of Nursing (RCN) websites. Results From our study, it costs £260.65 and £123.41 on average to remove a ureteric stent using Isiris α™ and traditional flexible cystoscope respectively (p<0.001). Stent removal in the endoscopy department was delayed in 60% of patients, on average 6.4 days, compared to 0% of patients using Isiris α™ (p = 0.048). Conclusion Although Isiris α™ is shown to be a more expensive option to remove ureteric stents based on our analysis, it still provides clinicians flexibility and ease in removing ureteric stents in the outpatient clinic, reducing the pressure and demand for dedicated flexible cystoscopy slots in the endoscopy department.
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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 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".