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Record W2808904434 · doi:10.22374/jeleu.v1i1.5

Cost Analysis and Service Delivery on Using Isiris α™ to Remove Ureteric Stents

2018· article· en· W2808904434 on OpenAlexvenueno aff
Y.C. Phan, Jonathan Cobley, Wasim Mahmalji

Bibliographic record

VenueJournal of Endoluminal Endourology · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMedical Device Sterilization and Disinfection
Canadian institutionsnot available
Fundersnot available
KeywordsService delivery frameworkService (business)Computer scienceBusiness

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.046
GPT teacher head0.313
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2018
Admission routes1
Has abstractyes

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