Patients' and Caregivers' Preferences for Mental Health Care and Support in Atopic Dermatitis
Bibliographic record
Abstract
Abstract: Background: Atopic dermatitis (AD) has large mental health impacts for patients and caregivers, yet their preferences regarding how to relieve these impacts are poorly understood. Objective: To understand patients' and caregivers' preferences for AD-related mental health care and support. Methods: We surveyed 279 adult AD patients and 154 caregivers of children with AD across 26 countries regarding their AD-related mental health burden, preferred strategies for improving AD-related mental health, and experiences with mental health care in AD. Results: Caregivers reported significantly worse overall mental health ( P = 0.01) and anxiety ( P = 0.03) than adult patients when controlling for AD severity. Among adult patients, 58% selected treating the AD, 51% managing itch, 44% wearing clothing to cover up skin, 43% avoiding social situations, and 41% spending time alone, as strategies they felt would improve their own AD-related mental health. Caregivers selected managing itch and treating the AD most frequently for both their own (76% and 75%, respectively) and their children's (75% and 61%) mental health. Adult patients were less satisfied with mental health care from mental health providers versus nonmental health providers ( P < 0.001). Conclusions: Effective AD management is the preferred method for improving mental health among patients as well as caregivers, who may experience the greatest mental health impacts. Self-care strategies should be considered in a shared decision-making approach.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".