Italian Cross-Cultural Adaptation of a Knowledge Assessment Tool (IBD-KID2) for Children with Inflammatory Bowel Disease
Bibliographic record
Abstract
Background: For children with inflammatory bowel disease (IBD), understanding their condition may lead to better outcomes. Knowledge assessment is imperative to identify where education may be required. An IBD knowledge assessment tool (IBD-KID2) is available in English; the aim of this study was to translate IBD-KID2 in to Italian and assess its validity/reliability among children with IBD. Methods: IBD-KID2 has fifteen items, scoring one point per correct answer. IBD-KID2 items were assessed for cultural comprehension/relevance by Italian gastroenterologists using a content validity index; those items with a maximum score proportion <0.78 were reviewed. IBD-KID2 was then translated using ‘forward–backward’ process and reviewed for content/meaning. A prospective study among Italian children with IBD enabled score comparisons with established populations (z test), and reliability was assessed using test–retest completion (Pearson correlation (r), paired t-test). Results: Twenty-five children participated: 16 (64%) male, mean age 14.9 years (SD2.4), Crohn’s disease 13 (52%). The mean IBD-KID2 score was 8.8 (SD2.8), with no association with independent variables. Test–retest showed strong correlation between scores (r = 0.78, p < 0.001), with no mean difference (p = 0.39). Comparison with other pediatric IBD populations (NZ/Australia/Canada) showed no score difference (p = 0.62, CI −0.9 to 1.5). Conclusions: The translation of IBD-KID2 to Italian used a rigorous methodology. Scores showed the translated tool has equivalence and generalizability to Italian children with IBD.
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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".