Medication-related perceptions of children and adolescents with severe asthma and moderate-to-severe atopic dermatitis: a non-interventional exploratory study
Bibliographic record
Abstract
BACKGROUND: Severe asthma and moderate-to-severe atopic dermatitis can significantly impact the lives of children and adolescents. However, real-world data on pediatric patients' perceptions of their medication are limited. METHODS: This non-interventional cross-sectional study at a university hospital explored patients' perceptions. We included patients aged between 6 and 17 with severe asthma and/or moderate-to-severe atopic dermatitis. For patients treated with dupilumab, a minimum dupilumab treatment duration of 16 weeks was required. We conducted one structured interview per patient, based on a questionnaire consisting of open questions and ratings on 6-point Likert scales (response scale range: "0: not at all" to "5: very strongly"). RESULTS: The study included 57 participants (severe asthma: n = 31; moderate-to-severe atopic dermatitis: n = 21; both: n = 5) who reported a "rather moderate" burden of asthma (median: 2; Q25/Q75: 0.3/2.8) or atopic dermatitis (3; 1.5/3.5). They experienced their current medications as "rather helpful" (asthma: 4; 3/5; atopic dermatitis: 4; 3/5). Twelve of the participants (21%) reported refusing to take their medication because of reluctance, but all resumed treatment. All participants receiving dupilumab therapy (n = 16) reported an improvement in their disease within a maximum of 2.5 months after starting treatment. The median fear of injection decreased from 3 (0/5) before the first injection to 0.5 (0/1) at the time of the survey. CONCLUSIONS: In this real-world, interview-based study, we found that pediatric patients perceived treatment as highly beneficial for asthma and atopic dermatitis. Furthermore, pediatric patients seemed to respond well to dupilumab therapy in terms of both disease improvement and less fear of injection. TRIAL REGISTRATION: DRKSID DRKS00028092.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".