Psychometric Properties of the Instrument for Scoring Clinical Outcomes of Research for Epidermolysis Bullosa patient score (iscorEB-p): a patient-reported outcome measure
Bibliographic record
Abstract
BACKGROUND: In contrast to clinical diagnosis via external examination, patient-related outcome measures (PROMs) allow access to patients' internal perceptions. In the case of epidermolysis bullosa (EB) - a rare disease characterized by a wide variety of symptoms and individual disease courses - it is important to integrate the patient's perspective into diagnostic processes. The Instrument for Scoring Clinical Outcomes of Research for EB (iscorEB) is an EB-specific measurement tool, combining a clinician score (iscorEB-c) and a patient questionnaire (iscorEB-p). OBJECTIVES: The aim of this study is to establish the iscorEB-p as an independent PROM tool by exploring its psychometric properties. METHODS: Sample-based psychometric testing and evaluation were performed on data collected via a multinational online cross-sectional study. RESULTS: Data analysis was performed with n = 95 participants across all EB types. The reliability and internal consistency of the iscorEB-p was excellent (α = 0.90). Principal component analysis with a varimax rotation resulted in a two-factor solution, explaining 55.6% of the total variance, with the distinct factors 'everyday life functioning' and 'specific EB symptoms'. Convergent validity was shown by high correlations to the Satisfaction With Life Scale (r = -0.52, P < 0.001), the Quality of Life in Epidermolysis Bullosa questionnaire (r = 0.72, P < 0.001) and the Epidermolysis Bullosa Family Burden of Disease questionnaire (r = -0.73, P < 0.001). CONCLUSIONS: The iscorEB-p is a reliable and valid instrument to assess patient-reported health status of people with EB.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".