Psorcast Mobile Study

Summary

The purpose of this study is to understand variation in the symptoms of psoriasis and psoriatic arthritis using simple, scalable smartphone-based measurements. This study uses an iPhone app to record these symptoms through questionnaires and sensors.

Conditions

• Psoriatic Arthritis
• Psoriasis
• Psoriatic Conditions
• Dermatologic Disease
• Rheumatologic Disease
• Psoriatic Nail
• Plaque Psoriasis
• Joint Pain
• Dactylitis

Interventions

BEHAVIORAL

Participant self-assessment surveys

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

BEHAVIORAL

Psoriasis Draw

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.

BEHAVIORAL

Psoriasis Area Photo

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.

BEHAVIORAL

Finger and Toe Photos

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.

BEHAVIORAL

Digital Jar Open

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.

BEHAVIORAL

30 Second Walk

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.

OTHER

Psorcast mobile application

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

Sponsors & Collaborators

• Brigham and Women's Hospital

  collaborator OTHER

• NYU Langone Health

  collaborator OTHER

• University of Pennsylvania

  collaborator OTHER

• Harvard Medical School (HMS and HSDM)

  collaborator OTHER

• New York University

  collaborator OTHER

• Sage Bionetworks

  lead OTHER

Principal Investigators

• Solveig Sieberts, Ph.D · Sage Bionetworks

• Jose Scher, MD · NYU Langone Medical Center

• Joseph Merola, MD, MMSc · Brigham and Women's Hospital & Harvard Medical School

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2022-01-01

Primary Completion

2027-01-31

Completion

2027-01-31

Countries

• United States

Study Locations