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