The Inflammatory Bowel Disease Symptom Inventory: A Patient-report Scale for Research and Clinical Application
Bibliographic record
Abstract
OBJECTIVES: Existing measures of inflammatory bowel disease (IBD) symptoms are not well suited to self-report, inadequate in measurement properties, insufficiently specific, or burdensome for brief or repeated administration. We aimed to develop a patient-reported outcome measure to assess a broader range of IBD symptoms. METHODS: The IBD Symptoms Inventory (IBDSI) was developed by adapting symptom items from existing clinician-rated or diary-format inventories; after factor analysis, 38 items were retained on 5 subscales: bowel symptoms, abdominal discomfort, fatigue, bowel complications, and systemic complications. Participants completed the IBDSI and other self-report measures during a clinic visit. A nurse administered the Harvey Bradshaw Index (HBI) for Crohn's disease (CD) or the Powell-Tuck Index (PTI) for ulcerative colitis (UC), and a gastroenterologist completed a global assessment of disease severity (PGA). RESULTS: The 267 participants with CD (n = 142) or UC (n = 125), ages 18 to 81 (M = 43.4, SD = 14.6) were 58.1% female, with a mean disease duration of 13.9 (SD = 10.5) years. Confirmatory factor analysis supported the 5 subscales. The total scale and subscales showed good reliability and significant correlations with self-report symptom and IBD quality of life measures, the HBI, PTI, and PGA. CONCLUSIONS: The IBDSI showed strong measurement properties: a supported factor structure, very good internal consistency, convergent validity, and excellent sensitivity and specificity to clinician-rated active disease. Self-report HBI and PTI items, when extracted from this measure, produced scores comparable to clinician-administered versions. The 38-item IBDSI, or 26-item short form, can be used as a brief survey of common IBD symptoms in clinic or research settings.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".