Adaptation and Validation of the Fear of Blistering Disease Recurrence Inventory
Bibliographic record
Abstract
INTRODUCTION: Autoimmune blistering diseases (AIBDs) are severe, life-threatening conditions known for their debilitating physical and psychological impacts. The conditions also have a high rate of recurrence, leading to patient distress. This study adapted and validated a widely used measure, the Fear of Cancer Recurrence Inventory - Short Form, for use with patients with AIBDs. METHODS: Adult volunteers (n = 219) with AIBD completed an anonymous online questionnaire battery. In addition to the Fear of Blistering Disease Recurrence Inventory - Short Form (FBDRI-SF), participants provided demographic and disease course information and completed the ultra-brief Patient Health Questionnaire for Depression and Anxiety (PHQ-4). RESULTS: The FBDRI-SF demonstrated excellent psychometric properties. Scores on the FBDRI-SF were associated with disease course, depression, and anxiety, suggesting that it is a valid indicator of clinically significant psychological distress. CONCLUSION: The FBDRI-SF is a brief and useful screen to identify AIBD patients likely to benefit from psychological evaluation and support.
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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".