Psorcast Mobile Study

At enrollment, participants are asked to complete a baseline health history, family history, and a participant-reported symptom inventory.

Participants are asked to draw the location and size of psoriasis they currently experience. Participants are provided a body template onto which they can draw on their screen. Investigators estimate the percentage of body area affected.

Participants are asked to take a picture of a representative psoriasis plaque and indicate the location of the plaque. They are asked to take a picture of the same area over time. The investigators are developing computer vision algorithms to assess the plaque.

Participants are asked to take pictures of the back of each hand and the top of each foot. These photos can be used to assess finger and toe swelling as well as psoriatic nail involvement. The investigators are developing computer vision algorithms to assess psoriatic nail involvement and digit swelling.

Participants are asked to internally and externally rotate the phone as it rests on a flat surface. Participants perform each direction (internal and external) and each arm (left and right) in turn. Gyroscope sensors measure the degree of rotation.

Participants are asked to walk in a straight line for 30 seconds. Gait is measured by gyroscope and accelerometer sensors. The investigators examine step-dependent and sequence-dependent features from these sensors. The investigators apply feature selection and classifier algorithms to analyze these data.

Participants complete all described behavioral interventions via a dedicated iPhone app, Psorcast.