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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".