Therapeutic Patient Education in Atopic Dermatitis: Worldwide Experiences
Bibliographic record
Abstract
Therapeutic patient education (TPE) has proven effective in increasing treatment adherence and improving quality of life (QoL) for patients with numerous chronic diseases, especially atopic dermatitis (AD). This study was undertaken to identify worldwide TPE experiences in AD treatment. Experts from 23 hospitals, located in 11 countries, responded to a questionnaire on 10 major items. Patients in TPE programs were mainly children and adolescents with moderate to severe AD or markedly affected QoL. Individual and collective approaches were used. Depending on the center, the number of sessions varied from one to six (corresponding to 2 to 12 hours of education), and 20 to 200 patients were followed each year. Each center's education team comprised multidisciplinary professionals (e.g., doctors, nurses, psychologists). Evaluations were based on clinical assessment, QoL, a satisfaction index, or some combination of the three. When funding was obtained, it came from regional health authorities (France), insurance companies (Germany), donations (United States), or pharmaceutical firms (Japan, Italy). The role of patient associations was always highlighted, but their involvement in the TPE process varied from one country to another. Despite the nonexhaustive approach, our findings demonstrate the increasing interest in TPE for managing individuals with AD. In spite of the cultural and financial differences between countries, there is a consensus among experts to integrate education into the treatment of eczema.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".