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Record W4366819801 · doi:10.1002/nau.25183

Vancouver Symptom Score for Dysfunctional Elimination Syndrome: Hindi translation and validation

2023· article· en· W4366819801 on OpenAlexaboutno aff
Aishwarya Madaan, Viswas Chhapola, Soumya Tiwari

Bibliographic record

VenueNeurourology and Urodynamics · 2023
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCronbach's alphaIntraclass correlationFace validityConstruct validityReceiver operating characteristicConvergent validityHindiCriterion validityClinical psychologyPhysical therapyPsychometricsInternal medicineArtificial intelligenceInternal consistency

Abstract

fetched live from OpenAlex

BACKGROUND: Bladder and bowel dysfunction (BBD) is a common problem in school-aged children and is evaluated using questionnaires. Among available questionnaires, "Vancouver Symptom Score for Dysfunctional Elimination Syndrome" (VSSDES) is considered superior in validity and reliability. We translated VSSDES into Hindi and performed validity and reliability testing of Hindi-VSSDES in children aged 4-16 years with lower urinary tract dysfunction (LUTD). METHODS: In this cross-sectional study, we followed Consensus-based Standards for the selection of health Measurement Instruments recommendation to develop Hindi-VSSDES. Forward-translation-harmonization-back-translation-expert committee review-prefinal version sequence of translation was followed by cognitive debriefing. One hundred and sixteen children with symptoms suggestive of LUTD and 106 healthy controls were recruited. Construct validity of Hindi-VSSDES was assessed via structural validity (factor analysis) and hypotheses testing. In addition, test-retest reliability and internal-consistency reliability were assessed. RESULTS: Hindi-VSSDES had acceptable face validity. Factor analysis identified four factors representing three domains. All a priori hypotheses were met. The questionnaire displayed excellent convergent validity and discriminative ability (area under receiver operating characteristic curve 0.83). The cutoff scores for screening and diagnosis were 7 and 11, respectively. Scores were comparable whether children self-filled the questionnaire or parents were proxy. Scores in girls were significantly higher. It had an excellent test-retest reliability (intraclass correlation coefficient = 0.96) and Cronbach's ɑ was 0.62. The smallest detectable change was 4.1 points. Median time to complete the questionnaire was 7 min and majority (91%) rated it as easy. CONCLUSIONS: Hindi-VSSDES is the first validated and reliable Hindi questionnaire for children with BBD. Clinimetric properties of responsiveness and interpretability are yet to be tested.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
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)0.0040.001

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 head0.023
GPT teacher head0.253
Teacher spread0.230 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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