Mobile Phone Technology for Chronic Pain Patients- A Feasibility Study
Stopped early
Conditions studied: Chronic Pain
In brief
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.
Key facts
- Study ID
- NCT02447107
- Run by
- Weill Medical College of Cornell University
- People needed
- 24
- Starts
- 2015-05-01
- Expected to finish
- 2017-11-01
- Last updated by the study team
- 2017-11-06
Who can join
Age: 18 and older, up to 65. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- 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)
You may not qualify if…
- Conditions limiting mobility
- Non-ambulatory (wheelchair bound)
- Movement or neuromuscular disorders
- Significant lower extremity weakness
- Severe cardiorespiratory disease
- Moderate to severe cognitive impairment
- Active cancer therapy (chemotherapy or radiation) in the last year
- Major surgery in the last 3 months
- Inability to comply with study requirements per investigator judgement
Where it is running
- Weill Cornell Pain Medicine Center — New York, New York, United States
Full record on ClinicalTrials.gov
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