Insights From Caregivers on the Impact of Pediatric Atopic Dermatitis on Families: “I’m Tired, Overwhelmed, and Feel Like I’m Failing as a Mother”
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The impact of pediatric atopic dermatitis (AD) on families is largely hidden from view, and AD is commonly misunderstood as a minor skin condition. Few studies have examined the full burden of AD from the family perspective. OBJECTIVE: The aim of the study was to assess the burden of AD on children and families using a caregiver-centered survey. METHODS: A 72-item anonymous online survey was posted on social media sites targeted to or composed of parents of children with AD. It explored the following 9 domains of impact: sleep, social isolation, time requirements, life decisions, family relationship dynamics, energy/fatigue, mental health impacts, and unmet treatment needs. Atopic dermatitis severity was reported by respondents using the Patient-Oriented Eczema Measure. Statistical analyses were conducted using R 3.6.0. RESULTS: Two hundred thirty-five individuals completed the survey during the 1-month period that it was promoted via social media. Caregivers reported frequent sleep disturbance, exhaustion, worry, and social isolation related to their child's AD. CONCLUSIONS: Results highlight the need for psychosocial support and respite care for caregivers of children with AD.
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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 it