Preliminary Validation of the HS-QoL: A Quality-of-Life Measure for Hidradenitis Suppurativa
Bibliographic record
Abstract
BACKGROUND: Hidradenitis suppurativa (HS) is a chronic inflammatory skin disease with adverse physical and psychosocial impacts. The development of an HS quality-of-life measure, HS-QoL, has been recently described. OBJECTIVE: This study was designed to validate the HS-QoL. METHOD: Fifty-five patients with HS from 4 dermatology clinics completed the 30-minute online survey. Item reduction, reliability (internal consistency), and correlation analysis (to assess convergent validity) were conducted. RESULTS: The HS-QoL was reduced from 53 items to 44 items, resulting in a 7-subscale questionnaire. All subscales demonstrated excellent internal consistency, except for the support subscale, which had adequate internal consistency. All 7 HS-QoL subscales were related to other measures of QoL, life satisfaction, and mental health, which demonstrates convergent validity. CONCLUSION: The 44-item HS-QoL demonstrated strong preliminary evidence of reliability (internal consistency) and convergent validity.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".