Development and Psychometric Validation of a Patient-Reported Outcome Measure to Assess the Signs and Symptoms of Chronic Hand Eczema: The Hand Eczema Symptom Diary (HESD)
Bibliographic record
Abstract
INTRODUCTION: Chronic Hand Eczema (CHE) is an inflammatory skin disease of the hands. The Hand Eczema Symptom Diary (HESD) is a new patient-reported outcome measure of worst severity of core CHE signs/symptoms. This study aimed to evaluate content and psychometric validity of the HESD. METHODS: The HESD was developed based on the literature and concept elicitation interviews. Qualitative cognitive debriefing interviews were conducted with CHE patients to assess relevance and understanding of items, response options and recall period. Psychometric properties of the HESD (item performance, dimensionality, reliability, validity, responsiveness and estimation of meaningful change thresholds) were then assessed, first using data from a phase 2b trial (NCT03683719), and confirmed using data from the first 280 participants completing the 16-week treatment phase of a phase 3 trial (NCT04871711). RESULTS: Cognitive debriefing supported item refinement and removal of items and confirmed all items were well understood and relevant to patients. Item properties and dimensionality analyses in the phase 2b data supported removal of additional items, resulting in the 6-item HESD included in the phase 3 trial. Unidimensionality was supported by inter-item correlations (all > 0.70) and Rasch analysis. Internal consistency (Cronbach's alpha = 0.96) and test-retest reliability (Intraclass Correlation Coefficient > 0.89) results were very strong. Construct validity was supported by moderate correlations with concurrent measures (0.53-0.64) and significant differences between severity groups (p < 0.001). Large effect sizes for mean change scores in participants that improved and significant differences between change groups indicated the ability to detect change. Anchor-based analyses supported within-individual responder definitions of ≥ 4-points for improvements in 7-day average HESD scores. CONCLUSION: The HESD is the first CHE-specific, patient-reported outcome measure of CHE signs/symptoms developed and validated in line with regulatory guidance. This article provides evidence of strong content validity and psychometric validity and shows improvements of ≥ 4 points on 7-day average HESD scores represent clinically meaningful, important changes. TRIAL REGISTRATION: NCT03683719, NCT04871711.
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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 | 0.024 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".