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Measuring Physical Function in Children with Spina Bifida and Dislocated Hips

2005· article· en· W2023890626 on OpenAlexaff
Patricia L. Smith, Janice Owen, Darcy Fehlings, James G. Wright

Bibliographic record

VenueJournal of Pediatric Orthopaedics · 2005
Typearticle
Languageen
FieldMedicine
TopicSpinal Dysraphism and Malformations
Canadian institutionsUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsSpina bifidaMedicineIntraclass correlationPhysical therapyConstruct validityPediatricsPsychometricsClinical psychology

Abstract

fetched live from OpenAlex

The objective of this study was to develop a questionnaire to evaluate the activities of daily living that are important to children with spina bifida and dislocated hips and their families. Ninety-six items were generated from a review of the literature and interviews with clinicians, parents, and children with spina bifida and dislocated hips. Items were rated independently for "importance" and "severity" by the children and their parents. The 26 most important and severe items were formatted into a self-administered questionnaire, the Spina Bifida Hips Questionnaire (SBHQ). Parents and children completed 2 weeks apart the SBHQ, the Activities Scale for Kids (ASK), and the Pediatric Outcomes Data Collection Questionnaire (PODCQ). The SBHQ showed excellent test-retest reliability (intraclass correlation = 0.97). Construct validity was established by correlations with the ASK (r = 0.79, P < 0.01) and the PODCQ (r = 0.84, P < 0.01). In conclusion, the SBHQ is a valid and reliable questionnaire for the evaluation of treatment outcomes for children with spina bifida and dislocated hips.

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)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.015
GPT teacher head0.230
Teacher spread0.215 · 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 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

Citations16
Published2005
Admission routes1
Has abstractyes

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