Funded Projects

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Project # Project Title Research Focus Area Research Program Administering IC Institution(s) Investigator(s) Location(s) Year Awarded
3UG1CA189824-07S2
Wake Forest NCORP Research Base Clinical Research in Pain Management Pain Management Effectiveness Research Network (ERN) NCATS WAKE FOREST UNIVERSITY HEALTH SCIENCES LESSER, GLENN J Winston-Salem, NC 2020
NOFO Title: Notice of Special Interest to Encourage Eligible NIH HEAL Initiative Awardees to Apply for Administrative Supplements to Promote Training in Clinical Research on Pain (Admin Supp ? Clinical Trial Not Allowed)
NOFO Number: NOT-NS-20-044
Summary:

Pain is one of the most common symptoms in cancer patients and one least likely to be adequately treated. It is particularly common in advanced cancer, affecting an estimated 64% of patients with advanced disease. Pain treatment guidelines state patients should have access to behavioral pain interventions that educate them about pain and teach them skills for managing it. The parent grant will evaluate the effectiveness of an evidence based pain management intervention called ?Pain Coping Skills Training? in a web based format for patients with advanced cancer. This supplement will provide support for a training opportunity that aligns with the goals of the parent grant and includes community outreach and engaging underserved populations in clinical research.
1UH2AR076723-01
Wearable nanocomposite sensor system for diagnosing mechanical sources of low back pain and guiding rehabilitation Clinical Research in Pain Management Back Pain Consortium Research Program NIAMS BRIGHAM YOUNG UNIVERSITY BOWDEN, ANTON E Provo, UT 2019
NOFO Title: HEAL Initiative: Back Pain Consortium (BACPAC) Research Program Technology Research Sites (UH2/UH3 Clinical Trial Optional)
NOFO Number: RFA-AR-19-028
Summary:

Chronic low back pain (cLBP) is recurrent and often nonresponsive to conservative treatments. Biomechanists, physical therapists, and surgeons each utilize a variety of tools and techniques to assess and interpret qualitative movement changes to understand potential mechanical and neurological sources of low back pain and as critical elements in their treatment paradigm. However, objectively characterizing and communicating this information is currently impossible, since clinically feasible (i.e., cost-effective, objective, and accurate) tools and quantitative benchmarks do not exist. This research addresses the challenge to improve cLBP outcomes through the use of unique, inexpensive, screen-printable, elastomer-based, nanocomposite, piezoresponsive sensors, which will be integrated into a SPInal Nanosensor Environment (SPINE) sense system to measure lumbar kinematics and provide an objective, quantitative platform for diagnosis, monitoring, and follow-up assessment of cLBP.