Consensus on a Patient-Centered Definition of Atopic Dermatitis Flare
Bibliographic record
Abstract
Importance: Flare is a term commonly used in atopic dermatitis (AD) care settings and clinical research, but little consensus exists on what it means. Meanwhile, flare management is an important unmet research and treatment need. Understanding how various therapies might comparatively improve AD flares as a measure of treatment effectiveness may facilitate shared decision-making and enable assessment of effectiveness within and outside clinical settings. Objective: To identify patient-reported attributes associated with an AD flare to develop a patient-centered, consensus-based working definition. Design, Setting, and Participants: This consensus survey study used a modified eDelphi method involving consensus-building focus groups and a survey conducted from January 10 through October 24, 2023. Focus groups were conducted virtually, and the online survey was advertised to National Eczema Association members. US adults aged 18 years or older with AD were recruited via convenience sampling. Exposure: Lived experience of AD. Main Outcomes and Measures: The main outcome was consensus on which attributes of AD to include in a patient-centric definition of flare. Using a rating scale (range, 1-9), consensus for the modified eDelphi statement rating was defined as at least 70% of participants rating a statement as 7 to 9 (critical to a flare definition) and less than 15% rating it as 1 to 3 (not important). Results: Twenty-six participants with AD who completed focus group activities (24 aged 18-44 years [92.3%] and 2 aged 45-64 years [7.7%]; 18 women [69.2%]) and 631 participants with AD (mean [SD] age, 45.5 [18.1] years; 533 women [84.5%]) who completed the survey were included in the analysis. Fifteen statements reached consensus from the focus groups, and of those, 12 reached consensus from survey participants. More than half (334 of 631 [52.9%]) of survey participants reported alignment with their health care practitioner on what a flare is, and most (478 of 616 [77.6%]) reported that a patient-centered definition would be useful when communicating with their health care practitioner about their condition. Conclusions and Relevance: In this study, participants with AD reached consensus on what an AD flare means from the patient perspective. This understanding may improve research and care by addressing this key patient-centered aspect of evaluating treatment effectiveness.
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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 | 0.142 | 0.147 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".