ArticleJAAD international2023
Remote severity assessment in atopic dermatitis: Validity and reliability of the remote Eczema Area and Severity Index and Self-Administered Eczema Area and Severity Index.
Article in JAAD international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Mobile Health App as an Auxiliary Tool in Management of Atopic Dermatitis in Children: Randomized Controlled Trial.JMIR dermatology · 2025Trial
- Teleconsultations for Eczema in CHildren (TECH) feasibility study: a mixed-methods study with adolescents and parents.Skin health and disease · 2026Article
- The Validity and Reliability of Patient-provided Photographs for Diagnosing and Assessing the Severity of Hand Eczema.Acta dermato-venereologica · 2026Article
- Asynchronous 3D Photography Is a Reliable Tool for the Assessment of Mycosis Fungoides Clinical Severity.The Australasian journal of dermatology · 2025Article
- Perspectives and Challenges of Telemedicine and Artificial Intelligence in Pediatric Dermatology.Children (Basel, Switzerland) · 2024Review
- Observational
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Authors and funding
7 authors.
Funding
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Abstract
Background: Reliable assessment of atopic dermatitis (AD) severity is necessary for clinical practice and research. Valid and reliable remote assessment is essential to facilitate remote care and research. Objectives: Assess the validity and reliability of the Eczema Area and Severity Index (EASI) based on images and patient-assessed severity based on the Self-Administered EASI (SA-EASI). Methods: Whole-body clinical images were taken during consultation from children with AD. After consultations, caregivers completed the SA-EASI and provided images from home. Four raters assessed all images twice using EASI. Results: A total of 1534 clinical images and 425 patient-provided images were collected from 87 and 32 children. Excellent (0.90) validity, good inter (0.77) and intrarater reliability (0.91), and standard error of measurement (4.31) was found for the EASI based on clinical images. Feasibility of patient-provided images showed limitations with missing images (43.8%) and quality issues (23.1%). However, good validity (0.86), inter (0.74) and intrarater reliability (0.94) were found when assessment was possible. Moderate correlation (0.60) between SA-EASI and EASI was found. Limitations: Low portion patient-provided images. Conclusion: AD severity assessment based on images strongly correlates with in-person AD assessment. Good measurement properties confirm the potential of remote assessment. Moderate correlation between SA-EASI and in-person EASI suggest limited value of self-assessment.
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