Patient Eczema Education Pictorial Study (PEEPS): A Pilot Investigation
Bibliographic record
Abstract
BACKGROUND: For optimal control of atopic dermatitis (AD), patient education is essential to complement traditional therapy. Patient education has proven to benefit AD outcomes, but previous methods of delivery are costly and time-consuming. OBJECTIVE: To assess the effectiveness of a one-page pictorial education tool at improving AD quality of life (QoL) and disease severity. METHODS: Patients with AD and caregivers (if patient <18 years) received education with a pictorial education tool. QoL and disease severity were measured at baseline and in follow-up 2 to 6 months after education. RESULTS: Forty-seven patients and caregivers from speciality clinics in dermatology and allergy received education. At follow-up, there were significant decreases in QoL scores and median disease severity scores. CONCLUSIONS: A pictorial education tool for AD is associated with significant benefits for patients and caregivers after 2 to 6 months. This tool may be valuable for health care providers who are in need of an effective and efficient method of AD education; however, further studies are needed to address identified knowledge gaps and expand to other sites and non-specialist clinics.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".