Funded Projects

Explore our currently funded projects. You may search with all three fields, then focus your results by applying any of the dropdown filters. After customizing your search, you may download results and even save your specific search for later.

Project # Project Title Research Focus Area Research Program Administering IC Institution(s) Investigator(s) Location(s) Year Awarded Sort descending
3U54GM104942-03S1
WEST VIRGINIA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: IMPROVING HEALTH THROUGH PARTNERSHIPS AND TRANSFORMATIVE RESEARCH New Strategies to Prevent and Treat Opioid Addiction NIGMS West Virginia University HODDER, SALLY LYNN MORGANTOWN, WV 2018
NOFO Title: Institutional Development Award (IDeA) Program Infrastructure for Clinical and Translational Research (IDeA-CTR)(U54)
NOFO Number: PAR-14-303
Summary:

Mortality rates in Appalachia have progressively increased over recent years, in contrast to decreasing mortality rates observed in the remainder of the U.S. The West Virginia Clinical and Translational Science Institute (WVCTSI) was created in 2012 through the initial Clinical and Translational Research (CTR) award and has subsequently formed a well-connected, statewide research network, creating the infrastructure to address the substantial health disparities that exist in West Virginia. WVCTSI is now well positioned to attain the goals of this renewal application that include: 1) building sustainable research infrastructure that substantively contributes to improving West Virginia health outcomes by 2022; 2) recruiting the next generation of clinician scientists and translational researchers that excel in team science and are positioned for long-term success; and 3) actively engaging with multiple stakeholders that include communities, medical providers, and policy makers to drive research that improves the health of West Virginians.

3R01AT008559-02S1
MECHANISMS OF PSYCHOSOCIAL TREATMENTS FOR CHRONIC LOW BACK PAIN New Strategies to Prevent and Treat Opioid Addiction NCCIH University of Washington JENSEN, MARK P; DAY, MELISSA ANNE SEATTLE, WA 2018
NOFO Title: NIH Research Project Grant (Parent R01)
NOFO Number: PA-16-160
Summary:

Chronic low back pain (CLBP) is a problem affecting millions of Americans. Psychosocial approaches are efficacious for addressing the multidimensional nature of CLBP. Three of the most widely implemented nonpharmacological techniques for CLBP management are cognitive therapy (CT), mindfulness meditation (MM), and behavioral activation (BA). However, there is a critical lack of research examining if these techniques work via the mechanisms specified by theory. Ecological momentary assessment (EMA) and ActiGraph technology embedded within a randomized controlled trial, consisting of daily measures of process and outcome, is ideal for testing mechanism models both during treatment and during the critical period following treatment. The current proposal seeks to utilize EMA and ActiGraph to examine if changes in cognitive content, cognitive process, and activity level are mechanisms specific to CT, MM, and BA, respectively, for reducing pain interference. Elucidating the mechanisms of pain coping skills will lead to streamlined CLBP interventions.

3U54EB020404-05S1
CENTER OF EXCELLENCE FOR MOBILE SENSOR DATA-TO-KNOWLEDGE (MD2K) - OVERALL New Strategies to Prevent and Treat Opioid Addiction NIBIB University of Memphis KUMAR, SANTOSH MEMPHIS, TN 2018
NOFO Title: Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional)
NOFO Number: PA-18-591
Summary:

Rapid technological advances are leading to field-deployable mobile sensing devices that can quantify complex dynamics of key physical, biological, behavioral, social, and environmental factors, enabling us to understand causation in complex disorders. Significant new investment is needed to develop and disseminate data analytics tools. The Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) will generate generalizable theory, methods, tools, and software to address major barriers to processing complex mobile sensor data and its use in biomedical knowledge discovery and just-in-time care delivery. We will develop and implement a standards-based, interoperable, extensible, and open-source big data software platform for efficient implementation of MD2K data analytics. MD2K will demonstrate the feasibility, utility, and generalizability of this approach by implementing the entire MD2K data analytics system in the context of two biomedical applications: reducing relapse among abstinent daily smokers and reducing readmission among congestive heart failure patients

3UG3DA044826-02S1
COMMUNITY-BASED, CLIENT-CENTERED PREVENTION HOMES TO ADDRESS THE RURAL OPIOID EPIDEMIC New Strategies to Prevent and Treat Opioid Addiction NIDA University of Wisconsin, Madison WESTERGAARD, RYAN PATRICK; SEAL, DAVID W MADISON, WI 2018
NOFO Title: Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional)
NOFO Number: PA-18-591
3R01NR016681-02S1
MECHANISMS OF MUSIC THERAPY TO PALLIATE PAIN IN PATIENTS WITH ADVANCED CANCER Clinical Research in Pain Management NINR DREXEL UNIVERSITY BRADT, JOKE Philadelphia, PA 2018
NOFO Title: Arts-Based Approaches in Palliative Care for Symptom Management (R01)
NOFO Number: PAR-14-294
Summary:

This study addresses the public health problem of chronic pain as one of the most feared symptoms in people with cancer. Insufficient relief from pharmacological treatments and the fear of side effects are important reasons for the growing use of complementary pain management approaches in people with cancer. One such approach is music therapy. Although efficacy of music therapy for pain has been established, there are no mechanistic studies clarifying how it works in clinical populations. The overarching goals of this study are to 1) examine mediators and moderators hypothesized to account for the pain-reducing effects of interactive music therapy (IMT) in people with advanced cancer and chronic pain and 2) validate IMT’s theory of action. The results of this study will provide estimated effects sizes of IMT on the mediators and preliminary effect size estimates for the pain outcomes. This information will be instrumental in the development of a subsequent large-scale efficacy trial.