A New Domain Structure for the IMPACT‐III Health‐related Quality of life Tool for Pediatric Inflammatory Bowel Disease
Bibliographic record
Abstract
BACKGROUND: The IMPACT-III measures health-related quality of life (HRQOL) in pediatric patients with Inflammatory Bowel Disease (IBD). The original IMPACT domain structure was developed based on expert opinion and was not psychometrically validated. This study developed a new domain structure based on the current IMPACT version. METHODS: Baseline data from 3 prospectively collected datasets of children and adolescents with IBD was used. Exploratory, then confirmatory factor analyses were carried out to develop a new domain structure. Internal consistency (Cronbach alpha) and construct validity with PROMIS measures (Pearson correlations, and Independent Mann-Whitney U-tests) were examined. RESULTS: Data from the IBD Partners dataset alone (n = 374; 47% girls, mean age = 13.4 ± 2.5 years, median disease duration = 2.5 years, 75% were in remission, with a range of self-reported disease activity) was used to validate the new 4-domain IMPACT-III model. The final domain structure was parsimonious, with factor loadings for individual items ranging from 0.39 to 0.80, and internal consistency for domains from 0.75 to 0.95. The new IMPACT-III domains include: General well-being, Social Functioning, Emotional functioning, and Body Image. IMPACT-III total and domain scores were significantly lower (all P < 0.001) for participants with high (>50) versus low (<50) PROMIS anxiety, depression, fatigue, and pain T-scores; conversely IMPACT-III scores were higher for participants with higher peer-relations PROMIS T-scores. CONCLUSIONS: This valid and reliable IMPACT-III domain structure should be used to capture pediatric self-reported HRQOL, which will help to understand the management of IBD from the perspective of patients.
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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 | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".