Conceptual Model to Illustrate the Symptom Experience and Humanistic Burden Associated With Atopic Dermatitis in Adults and Adolescents
Bibliographic record
Abstract
Atopic dermatitis (AD) is a pruritic or painful dermatologic disease characterized by xerosis and eczema lesions. The symptoms/signs of AD can significantly impact patients' health-related quality of life (HRQoL). This study aimed to qualitatively explore the adult and adolescent experience of AD. A targeted literature review and qualitative concept elicitation interviews with clinicians (n = 5), adult AD patients (n = 28), and adolescent AD patients (n = 20) were conducted to elicit AD signs/symptoms and HRQoL impacts experienced. Verbatim transcripts were analyzed using thematic analysis. Twenty-nine symptoms/signs of AD were reported, including pruritus, pain, erythema, and xerosis. Atopic dermatitis symptoms/signs were reported to substantially impact HRQoL. Scratching was reported to influence the experience of symptoms and HRQoL impacts. Four proximal impacts (including discomfort and sleep disturbance) were reported. Ten domains of distal impact were reported, including impacts on psychological and social functioning and activities of daily living. A conceptual model was developed to summarize these findings. This study highlights the range of symptoms and HRQoL impacts experienced by adults and adolescents with AD. To our knowledge, this study was first to explore the lived experience of AD in both adult and adolescent patients, providing valuable insight into the relatively unexplored adolescent experience of AD.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".