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Record W4403015191 · doi:10.1016/j.jpurol.2024.09.024

The integral co-management role of the medical pediatric urologist: Improving the care of children with urological conditions

2024· article· en· W4403015191 on OpenAlexaff
Joana Dos Santos, Walid A. Farhat, Michelle Shouldice, Joao Pippi Salle, Michael Chua, Mandy Rickard, Darius Bägli, Armando J. Lorenzo, Martin A. Koyle

Bibliographic record

VenueJournal of Pediatric Urology · 2024
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsMedicinePediatric urologyUrologyIntensive care medicineGeneral surgeryPediatricsFamily medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: The complexities of modern medicine prompt a re-evaluation of traditional patient care models to enhance safety and quality. We implemented a one-year pilot Medical Pediatric Urology fellowship, jointly developed by Urology and Pediatric Hospital Medicine, where a pediatrician received postgraduate training in both specialties. This innovative program aimed to augment knowledge and expertise in non-surgical aspects of pediatric urology. Upon completion of the fellowship, the trained pediatrician assumed the role of medical pediatric urologist (MPU), integrating into both Pediatrics and Urology faculties. Unlike the traditional specialist consultation model, the MPU became integral member of the Urology Division, working full-time and sharing responsibilities for both inpatient and outpatient pediatric urology care at a tertiary pediatric hospital in Canada. OBJECTIVE: This study aims to delineate the training curriculum, role, clinical outcomes, and educational impact of the MPU over eight years. STUDY DESIGN: We retrospectively analyzed clinical outcomes, including patient volumes seen annually by MPU, urologists, and nurse practitioners from 2021 to 2023. Clinic wait times and patient satisfaction were compared between MPU's community and tertiary hospital pediatric urology clinics. Educational impact was assessed through pediatric residents' ratings for the MPU as a clinical teacher during urology rotations using a Likert scale. RESULTS: Integration of MPU led to the establishment of specialized clinics, including those for neurogenic bladder and posterior urethral valves. MPU accounted for approximately 34.7 % of all outpatient clinic visits. Subjective feedback highlighted enhanced quality of care with MPU co-management in the inpatient setting. Additionally, in a community-based medical urology clinic (CUC) staffed by the MPU and a pediatric urology nurse practitioner, patients experienced shorter wait times and higher satisfaction (53 ± 36 days and 194 ± 108 days) (p < 0.01), with 97 % vs. 91 % of families reported feeling highly satisfied with care (p < 0.01) compared with hospital clinics, respectively. The MPU received ratings of 4/5 or 5/5 as a clinical teacher from 81.82 % of pediatric residents. DISCUSSION: Our novel co-management approach in pediatric urology integrates medical and surgical expertise. However, limitations include the retrospective design and single-center setting. Nonetheless, this framework presents a potential model for other surgical specialties, offering a unique practice niche for trainees interested in the medical management of surgical conditions. CONCLUSION: The medical pediatric urologist plays a pivotal role as an educator, hospitalist, and director of the outpatient clinic, effectively integrating medical and surgical expertise. The MPU model is promising for optimizing safety and quality of care in pediatric urology.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.002
Open science0.0010.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0080.001

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 head0.013
GPT teacher head0.356
Teacher spread0.343 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations1
Published2024
Admission routes1
Has abstractno

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