Development of a Quality-of-Life Measure for Hidradenitis Suppurativa
Bibliographic record
Abstract
BACKGROUND: Hidradenitis suppurativa (HS) is a chronic skin disorder with adverse impacts on both physical and psychosocial well-being. There is presently no validated HS-specific quality-of-life (QoL) measure. OBJECTIVE: The objective of this study is to develop a QoL instrument for HS (HS-QoL) in accordance with recommended standards. METHODS: Patient interviews (concept elicitation) and expert input were used to develop the conceptual framework for outcomes perceived important to patients with HS. A HS-QoL-v1 measure was developed, and cognitive interviews with patients were conducted for pilot testing. RESULTS: Concept elicitation interviews with patients with HS (n = 21) generated 12 themes. Most frequently reported were impacts on daily activities and symptoms due to HS. These themes, along with literature review and input from clinical experts, informed development of the HS-QoL-v1. Nine cognitive interviews were conducted in a pilot test and resulted in the HS-QoL-v2 measure. CONCLUSION: The HS-QoL-v2 is a preliminary QoL instrument for which further psychometric validation and establishment of clinimetric properties will be undertaken.
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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 | 0.014 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".