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Monitoring atopic dermatitis using mobile-app based photography and surveys
Georgia Marquez-Grap1, Andrea Leung1, Faye Orcales1
1Department of Dermatology, University of California, San Francisco, CA, USA.
Purpose/Aim:
Remote clinical research has potential to increase study diversity, reduce costs for researchers and participants, and increase efficiency of studies. This study evaluates the reliability and feasibility of using SkinTracker, a mobile application, for remote AD severity assessment through mobile-app based photography and surveys.
Methods:
This single-center observational study enrolled 28 participants (18 with AD and 10 healthy controls) in an eight-week hybrid clinical study. Participants completed bi-weekly tasks and submitted standardized skin photographs via the SkinTracker app, and clinic-based skin exams and digital single-lens reflex (SLR) photos were obtained at baseline and week 8. Eczema Area Severity Index and Investigator Global Assessment scores were assigned to the photographs by a grader. Intraclass correlation coefficients were used to evaluate agreement between app-based, in-person, and SLR assessments for the 18 participants with AD.
Results:
App-based AD assessment scores had excellent agreement with in-person scores, indicating the reliability of SkinTracker to assess disease activity remotely. Furthermore, all participants had high compliance and satisfaction with app-based activities, indicating that using SkinTracker for remote clinical research is achievable and even preferred by participants.
Conclusion:
Overall, these findings show that SkinTracker is both reliable and feasible for monitoring atopic dermatitis disease activity remotely.
