Funded Projects

This research project will include focus group interviews with clinicians, patients, medical interpreters, and healthcare administrators to identify barriers and facilitators to administering the GetActive+ intervention in a group visit at a clinic for older adults with chronic pain, to inform development of a therapy manual. The project will then test the GetActive+ intervention for changes in physical function immediately post-intervention and after 6 months, as well as for changes in pain, sleep, depression, and anxiety at both time points. This research will also assess feasibility, acceptability, fidelity, and adoption of the intervention with patients, providers, and healthcare staff. 

Because pain is a multidimensional phenomenon with physical and psychosocial components, a pain management approach relying solely on analgesics is unlikely to be efficacious. Nonpharmacologic therapies for co-occurring chronic pain and opioid use in hemodialysis patients should target and alter cognitive-affective circuits that govern responses elicited by pain, stress, mood disorders, and opioid-related cues. These domains are directly addressed through the behavioral therapy program known as MORE (Mindfulness-Oriented Recovery Enhancement)—a multipronged mindfulness-oriented individualized group therapy that integrates mindfulness training, cognitive reappraisal, and enhancement of natural reward processing. The specific aims are 1) to determine the impact of MORE on chronic pain and opioid use in hemodialysis patients and 2) to determine predictors of chronic pain, opioid use, and response to MORE.

Cancer pain treatment disparities are associated with a decreased ability to tolerate treatment, as well as increased rates of disability, unemployment, institutionalization, and early death. The Achieving Equity through SocioCulturally-informed, Digitally-Enabled Cancer Pain managemeNT (ASCENT) clinical trial will test whether a novel digitally enabled, collaborative approach to team-based pain management can improve clinical outcomes and reduce long-standing and devastating disparities among rural dwelling and Hispanic/Latinx cancer survivors. A major focus of the randomized, effectiveness clinical trial is to test the hypothesis that the ASCENT intervention will reduce pain and unplanned healthcare use, while improving function, mood, sleep, and quality of life.

Pain in the muscles and surrounding connective tissue (myofascial pain) is a significant health concern affecting hundreds of millions of Americans. Understanding and managing myofascial pain has been limited due to a lack of tools to help clinicians diagnose and treat this disorder. While past efforts to understand myofascial pain have focused on impairments in how connective tissues connect to other tissues in the body, this project will use a new imaging technique to study myofascial tissue physical properties, including how they move in the body and their structural stiffness. This research will identify an imaging biomarker to be used in a randomized controlled clinical trial to predict patient responses to a myofascial pain treatment.

The Medical University of South Carolina (MUSC) Specialized Clinical Center (Hub) of the Early Phase Pain Investigation Clinical Network (EPPIC-Net) will provide a robust and readily accessible infrastructure for rapid implementation and performance of high-quality comprehensive studies of novel treatments for patients with a wide variety of pain conditions. The MUSC-Hub will harness multidisciplinary clinical, research, statistical, and data management expertise to provide the scientific leadership and infrastructure required to design and conduct multisite Phase II clinical trials, biomarker validation studies, and deep phenotyping of patient populations as part of the EPPIC-Net with the overall goal of accelerating the development of new therapies for patients with acute and/or chronic pain.

In this study, 600 to 700 hemodialysis patients receiving chronic opioids will be randomized across the Hemodialysis Opioid Prescription Effort (HOPE) Consortium to enhanced treatment as usual, buprenorphine therapy, or buprenorphine plus mindfulness-based cognitive therapy intervention delivered by telephone and adapted for pain (MBCT-TP). The following specific aims will be assessed: Aim 1—to assess the effectiveness of buprenorphine in reducing chronic opioid use and prescriptions in hemodialysis patients on opioids at baseline, compared with an enhanced treatment as usual intervention and to assess the effectiveness of buprenorphine in improving pain intensity, quality of life measures, and hospitalizations; Aim 2—to assess the incremental effectiveness of MBCT-TP added to buprenorphine compared with buprenorphine alone on pain interference with physical, social, and mental functioning, opioid use, pain intensity, other quality of life measures, hospitalizations, and mortality.

There is a clear public health imperative to improve the care and outcomes of people who experience severe acute and chronic pain. The Early Phase Pain Investigation Clinical Network (EPPIC-Net) is charged with conducting deep phenotyping and biomarker studies for specific pain conditions – and with conducting high-quality phase II clinical trials to test novel non-opioid pain treatments with academic and industry partners. This research will extend EPPIC-Net’s current portfolio to develop novel and efficient data-analytic methodologies for complex medical data, such as those that are expected to be generated by the clinical trials conducted by EPPIC-Net.

The Data Coordinating Center (DCC) of the Early Phase Pain Investigation Clinical Network (EPPIC-Net) will be the data and biospecimen manager for pain research within the HEAL Partnership. As such, it will host, manage, standardize, curate, and provide a sharing platform for data and biospecimens for HEAL initiatives, such as the Acute to Chronic Pain Signatures initiative and the BACPAC, in addition to EPPIC-Net studies. The DCC will develop and maintain a databank for depositing data, will link these data with a repository for biological samples, and will create a platform for teams to work together to analyze and interpret data. Further, the DCC will provide leadership in the statistical design and analysis of EPPIC-Net studies and will deploy advanced systems and processes for data collection, management, quality assurance, and reporting. The DCC will create, sustain, and continually advance a robust organization for the rapid design, implementation, and performance of high-quality rigorous Phase II clinical trials to test promising therapeutics for pain.

The Greater New York Clinical Center (GNYCC) aims to engage experts in pain research and pain practice to build the infrastructure required to support the objectives of the Early Phase Pain Investigation Clinical Network (EPPIC-Net). The GNYCC will provide expertise and resources to perform phase 2 clinical trials to test the efficacy of novel pain treatments, as well as phenotyping and biomarker studies that will enable customized treatments. The consortium comprises four major academic centers in New York City, one of the most diverse cities in the United States and the nation’s largest metropolitan area. We will 1) build infrastructure to rapidly access clinical trial resources and a network of investigators and clinical leaders, 2) develop a plan for swift evaluation and launch of proposed studies, and 3) optimize patient retention and monitor sites to ensure protocol adherence, data quality, and efficiency.

Current diagnostics and treatments of chronic low back pain (cLBP) rely primarily on subjective metrics and do not target all the multidimensional biopsychosocial mechanisms. This multidisciplinary effort will develop and validate a digital health platform and provide meaningful data-driven metrics that enable an integrated approach to clinical evaluation and treatment of cLBP. This platform will facilitate the use of quantitative spinal motion metrics (function), patient-reported outcomes, and patient preference information to enable deep patient phenotyping and inform clinical decision making on personalized treatments in order to improve outcomes. This effort will involve software and hardware development to enable data collection, analysis, and visualization in clinical settings. The outcome of this project will be a digital health platform with data to support regulatory submission for clinical use. At the end of this effort, the researchers will have a validated tool for integration in clinical research studies supported by the BACPAC Consortium.

African American adults are less likely to receive analgesics, particularly opioids. Research in the pediatric surgical population is limited, but the pattern of disparate use of opioids appears consistent with adults. Furthermore, adolescent access to prescribed opioids has increased, both through physician prescribing and misuse of medications prescribed to family members or friends. This study will explore the interrelated impacts of policy, clinical need, and sociodemographic factors by combining Medicaid claims and electronic health record data with findings from a statewide opioid policy inventory. We will focus on discharge prescribing of opioids in three high-volume pediatric surgical procedures: tonsillectomy/adenoidectomy, supracondylar fracture, and appendectomy. We aim to 1) determine the extent of racial disparities in postoperative discharge opioid prescribing since the 2011 onset of enhanced opioid prescription reduction activities and 2) develop an expanded model to assess the linkage between differential opioid use for pediatric postoperative pain and opioid use-related outcomes.