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Record W3203914237 · doi:10.1097/pq9.0000000000000474

Cost Effectiveness and Impact in Quality of Care of a Pediatric Multidisciplinary Stone Clinic

2021· article· en· W3203914237 on OpenAlexaff
Jessica M. Ming, Roberto Iglesias Lopes, Elizabeth Harvey, Michael Chua, Megan Saunders, Mina Matsuda‐Abedini, Darius Bägli, Walid A. Farhat, Joana Dos Santos

Bibliographic record

VenuePediatric Quality and Safety · 2021
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineMultidisciplinary approachPediatricsInternal medicineEmergency medicine

Abstract

fetched live from OpenAlex

Introduction: Herein, we assess the cost-effectiveness of a multidisciplinary clinic for children with urinary stones. The clinic’s primary goals were to decrease unnecessary visits, imaging, and costs while optimizing the quality of care. Methods: Between October 2012 and January 2016, children with complex stone disease, previously treated in urology and/or nephrology clinics, were seen at a triannual pediatric combined stone clinic. We compared the number and cost of ultrasounds, emergency room (ER) visits, and stone surgeries performed before and after each patient’s initial evaluation. All patients received satisfaction surveys. Results: Among the 79 patients, 27 were seen at least twice in the combined clinic and followed multiple times in either urology or nephrology clinics. The mean number of ER visits per patient per year significantly decreased from 0.29 ± 0.36 to 0.10 ± 0.15 ( P = 0.002). The mean cost of ER visits went from CAD$ 23.44 ± 28.80 to CAD$ 4.14 ± 12.18 ( P = 0.002). Likewise, the mean annual number and cost of stone-related surgeries significantly decreased [(0.38 ± 0.63 versus 0.20 ± 0.32 after the MSC started ( P = 0.026) and mean annual cost of surgeries went from CAD$ 182.97 ± 301.49 to CAD$ 41.59 ± 110.97 ( P = 0.022)]. Among the survey responses returned, 75% of families believed the clinic was time-saving. Conclusions: Despite a small sample size, the number of ER visits and stone-related operations significantly decreased after the initial combined clinic intervention. Longer-term data will hopefully confirm if the positive findings continue.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.074
GPT teacher head0.431
Teacher spread0.358 · 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 designObservational
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

Citations4
Published2021
Admission routes1
Has abstractyes

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