The Utilization of Mobile Phone Technology to Quantitatively Assess Functional Outcomes of Chronic Pain Patients- A Feasibility Study

Status: Terminated
Location: See location...
Intervention Type: Other
Study Type: Observational
SUMMARY

Mobile technology can be used to passively capture data tracing features and fluctuations of patients' daily activities, including activity levels, location patterns, sleep, and a wide variety of other health-relevant metrics. This data can then be combined with contextual recall, collected through a mobile app, to enhance passively captured behavioral data. The resulting data collection is objective, real-time, and contextual, thus addressing the pitfalls of conventional measurement of pain treatment outcomes.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 65
Healthy Volunteers: f
View:

• Patients with eligible smart phone devices (iPhones and Androids- working, newer models (released in the last 3 years)) running a sufficient, current version of iOS or Android

• Chronic low back pain (at least 3 months) with or without lower extremity pain (i.e. lumbar radiculopathy, spinal stenosis)

• Average pain is rated at least moderate (numerical score greater than or equal to 5/10)

• Ages 18 - 65 years

• Participating in Chronic Pain Registry (standard of care)

Locations
United States
New York
Weill Cornell Pain Medicine Center
New York
Time Frame
Start Date: 2015-05-01
Completion Date: 2017-11-01
Participants
Target number of participants: 24
Treatments
Outpatients
Outpatients enrolled in this study are required to complete study assessments on mobile applications and through questionnaires. A daily electronic diary will be completed through the Ohmage app. The Mobility app will be used to track the patients' movement and activity. Patients will be administered a questionnaire at the 1 and 2 week endpoints.
Authors
Related Therapeutic Areas
Sponsors
Leads: Weill Medical College of Cornell University

This content was sourced from clinicaltrials.gov