Patient-reported burden in adults with atopic dermatitis: an international qualitative study
Bibliographic record
Abstract
The objective was to study a large, international, ethnically diverse population of patients with atopic dermatitis (AD) to support the creation of patient-centric recommendations for AD management. Qualitative data were generated from 45-min, 1:1 telephone interviews conducted across 15 countries in each patient's native language. Interviews explored the impact of AD on patients' lives, patients' most important symptoms, treatment expectations, and treatment decision-making. Participants were also questioned on their current knowledge of AD scoring systems and what was most important to include in these tools. In total, 88 adult patients (≥ 18 years old) receiving treatment for AD were recruited through a market research database, clinician referrals, and local advertising. All patients were screened to ensure a balanced and diverse sample in terms of age, gender, educational level, employment status, geographic location, and AD severity. Patients involved in market research or activities supporting advocacy groups within the previous 6 months or affiliated with or employed by pharmaceutical companies were excluded. AD had a substantial impact on patients' lives. Itch, skin redness, and dry/flaky skin were the most frequently reported symptoms, with > 75% of patients experiencing these symptoms every 1-3 days. Mental health issues were common and resulted in the greatest negative impact on patients' daily lives. Patients perceived clinicians to underestimate the burden of their AD. Patients had little awareness of AD scoring systems and indicated a preference for these to be more clearly incorporated in clinical practice. For an ideal scoring system, patients favored using a combination of patient-reported and clinician-reported outcomes to reflect disease burden and ensure consistency across all settings. This global study generated diverse patient perspectives on the disease burden of AD, their expectations of treatment, and their views on AD scoring methods. These data provide evidence to support the development of patient-centric recommendations for AD management.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".