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Record W2804851894 · doi:10.1093/pch/pxy054.017

DEVELOPMENT OF A STANDARDIZED APPROACH FOR THE ASSESSMENT OF BOWEL AND BLADDER DYSFUNCTION IN COMMUNITY PAEDIATRICS

2018· article· en· W2804851894 on OpenAlexafffund
Rebecca Wang, Ronik Kanani, Niraj Mistry, Yara El Bardisi, Joana Dos Santos

Bibliographic record

VenuePaediatrics & Child Health · 2018
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersOntario Ministry of Health and Long-Term Care
KeywordsMedicinePsychosocialEncopresisConstipationAnxietyPopulationDysfunctional familyPediatricsFamily medicinePhysical therapyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Bowel and bladder dysfunction (BBD) is a common yet underdiagnosed paediatric condition that describes a constellation of lower urinary tract symptoms (LUTS) associated with constipation and/or encopresis. Many children with BBD have co-morbid neuropsychiatric symptoms (e.g., inattention, anxiety) and psychosocial stressors. Thus, clinical assessment of behavioural symptoms and social risk factors in this population is essential. However, there is no standardized approach for a comprehensive assessment of BBD. OBJECTIVES We aim to develop and evaluate physician and parent perceptions with 1) a standardized BBD history and physical intake form for physicians, and 2) a parent-reported intake form. DESIGN/METHODS From June to Oct 2017, a quality improvement study was conducted in the BBD network, an existing paediatric collaborative initiative consisting of 7 community sites with support of the paediatric urology division in a tertiary hospital. Based on literature review and expert opinions, a standardized intake form was developed for BBD assessment with targeted questions for LUTS, constipation, behavioural, dietary, and psychosocial history, along with a physical exam checklist for neurological red flags. Further, a shorter parent-reported intake questionnaire was developed to clarify patterns of dysfunctional voiding symptoms, dietary recall and stool history. Both forms underwent usability testing and iterative refinement. Prior to clinic, families of children referred for BBD were mailed an intake package for completion. During the clinic, physicians were asked to use the standardized intake form for new referrals. Afterwards, both physicians and parents were given anonymous surveys to evaluate their perceptions of the intake process. RESULTS A total of 8 physicians and 20 parents responded, with 60% of patients being between ages 4–10 and 55% male. Physicians found the standardized intake form to be a useful guide that reminded them to ask about specific urinary symptoms (88% of the time), constipation (75%), and psychosocial history (76%). The majority of physicians (75%) agreed they would use the intake form again and recommended its implementation. Further, parents responded positively by agreeing that the intake package was easy to complete (65%), felt included in care decisions (95%), and had questions answered appropriately (100%). CONCLUSION In assessment of BBD, a standardized intake form can help guide physicians to efficiently gather a comprehensive history, rule out red flags, and screen for psychosocial risk factors. With refinements, it can potentially help create a common clinical experience and empower more community paediatricians to manage BBD in the future.

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)0.091
metaresearch head score (Gemma)0.088
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: Methods · Consensus signal: Methods
Teacher disagreement score0.091
Threshold uncertainty score0.480

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0910.088
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0070.003
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0030.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.043
GPT teacher head0.359
Teacher spread0.316 · 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
GenreMethods

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

Citations1
Published2018
Admission routes2
Has abstractyes

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