Italian version of qualiveen‐30: Cultural adaptation of a neurogenic urinary disorder‐specific instrument
Bibliographic record
Abstract
PURPOSE: Qualiveen-30 is a neurological urinary disorder (UD)-specific health-related quality of life (HRQL) instrument, recommended in the European Association of Urology guideline 2008. The objective is to complete the cultural adaptation of Qualiveen-30 into Italian. MATERIALS AND METHODS: One hundred and twenty eight Italian-speaking spinal cord injury (SCI) patients completed Qualiveen-30 and the SF-12 physical and mental component (PC and MC) at enrollment and 4 weeks later. At follow-up, patients also made global ratings of change (GRC) in urinary HRQL (GRC). RESULTS: Qualiveen-30 proved reliable (intraclass correlation coefficients of four domains: 0.77-0.90). Correlations with SF-12 and GRC were generally consistent with our a priori predictions. Qualiveen-30 domains showed weak-to-moderate cross-sectional correlations with SF-12 scores (0.31-0.45 PC and 0.28-0.45 MC). Correlations between changes in Qualiveen-30 scores and in SF-12-PC scores were weak or absent. Correlations between changes in Qualiveen-30 scores and in SF-12-MC scores were weak to moderate (0.25-0.38). Relationships between change in Qualiveen-30 and GRC were moderate to strong (0.48-0.56). The responsiveness was excellent, similar to the original form (SMR: 1.76-2.31). Minimally important difference values in the four domains varied from 0.34 to 0.47. CONCLUSIONS: Italian Qualiveen-30 is a reliable, valid, and responsive measure of UD-related HRQL in SPI patients. Investigators can be confident of the Qualiveen-30 questionnaire's ability in distinguishing between patients in a cross-sectional survey, as well as in measuring within-subject changes over time in clinical trials in French, English, and Italian.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".