Funded Projects

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.

The System of Safety (SOS) represents an opportunity to study the implementation of best practice suicide-related care processes that embody the Zero Suicide Essential Elements of Care across emergency departments, inpatient medical and behavioral health units, and primary care clinics associated with a large healthcare system. This effectiveness trial will use a stepped wedge design across a total of 39 clinical units. Aim 1 will measure suicide risk screening and screening's impact on risk identification. Aim 2 will measure the effective implementation of clinician-administered interventions, such as safety planning with means restriction counseling, on suicide, suicide attempts, and suicide-related acute healthcare. Exploratory aims will examine mechanisms of action, moderators, economics, and population effects of the intervention. This study's innovative approach positions it for a significant impact on the fields of suicide prevention, CQI, and effectiveness trial design and analysis.

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.

Innovative interventions being conducted in emergency departments (EDs) for the treatment of opioid use disorders (OUD) have engaged more OUD individuals in treatment and saved lives. However, individuals who present to the ED following an opioid overdose, particularly those who have received naloxone reversal, are often resistant to accepting treatment. An innovative state-funded project called FAVOR Overdose Recovery Coaching Evaluation (FORCE) was initiated to try to address this problem wherein trained peer recovery coaches are called to the ED as soon as an opioid overdose victim is admitted. The proposed project will assess the feasibility and replicability of this model, assess whether the FORCE approach leads to more opioid overdose survivors entering formal substance use disorder treatment at one month compared to treatment as usual, and assess whether the FORCE approach leads to better retention in SUD treatment for OUD overdose survivors over time.

Hospital inpatient stays due to opioid-related health problems are a reachable moment for increasing access to treatment with medications for opioid use disorder (MOUD). Hospitalized patients with opioid use disorder (OUD) are at particularly high risk for morbidity, mortality, and high medical costs in the U.S. This study will substantially inform the care management of OUD in hospitalized patients. The project includes a comparative effectiveness research trial and an implementation research trial, which will lead to models of broad dissemination for treatment approaches to this largely unaddressed population. They will examine whether (1) in hospitals with addiction medicine consultation services, hospital-initiated extended-release buprenorphine (XR-BUP), compared with other OUD medications, results in increased engagement in treatment with MOUD following hospital discharge and (2) training hospitals without such consultation services on best practices for initiating MOUD using consultation service hubs improves medication uptake in hospitals and increased MOUD treatment engagement following discharge.

Debilitating pain is the most common complication of sickle cell disease (SCD), but there is significant variability in pain expression in these patients. Currently, there is no plasma biomarker that can prognosticate which patients are likely to experience pain. The overall goal of this proposed research is to develop a biomarker that prognosticates the clinical expression of pain in SCD. Project aims are to (1) derive the inflammatory index for pain by identifying inflammatory and immune regulatory gene probe sets that will distinguish healthy controls, patients with SCD in baseline health, and patients with SCD in acute pain and (2) determine whether co-expressed genes from patients with SCD correlate with clinical pain data. Subsequent aims are to (1) determine the clinically meaningful changes of the index in patients with SCD and (2) investigate the preliminary clinical validity of the index as a prognostic biomarker for pain in patients with SCD.

With the entwined crises of opioid use and chronic pain, there is a need for alternative, safe therapies to manage opioid use disorder, opioid withdrawal symptoms, chronic pain, and/or associated anxiety and depression. A proof-of-concept preclinical study has already been conducted of a cannabinoid-opioid combination that demonstrated opioid-sparing and synergistic analgesic effects, with the combination providing greater analgesia in a rodent model of chronic pain than a standard dose of the opioid alone. This proposal aims to develop a fixed-dose combination (FDC) of the cannabinoid-opioid that may have improved analgesia with lower opioid doses and thereby lower the risk of dependence, withdrawal, diversion, abuse, and overdose. Preclinical pharmacokinetic and ?in vivo ?safety studies will help determine if co-administration alters the pharmacokinetics and/or respiratory depression related to either compound in rodents.

Very little research has been conducted on better understanding of phenotypic characterization of individuals with OUD (beyond DSM-5 diagnoses) and how these features predict illness severity, treatment retention or outcomes. The primary objective of the deep phenotyping study is to provide a comprehensive phenotypic characterization (e.g., domains of negative affect, reward salience, cognitive control, mental health) of a heterogeneous sample of individuals (n = 1,000) who currently meet one or more DSM-5 diagnostic criteria for OUD and are in treatment for OUD. In a subset of this sample (n = 100), the investigators conduct digital phenotyping to examine the utility of ecological momentary assessment (EMA), digital sensing and social media to predict retention, medication adherence and opioid use outcomes in patients receiving buprenorphine for OUD. It is anticipated that this foundational study will inform the feasibility and utility of such assessments that can be successfully embedded into imminent and future CTN and other OUD clinical trials.

Effective treatment for OUD has been shown to improve patient outcomes and reduce health care costs; however, evidence of this effect in primary care settings is severely limited. The health economic findings from this study will supplement the parent PROUD trial’s results regarding clinical effectiveness and implementation outcomes and provide critical contextual information for health systems and other health care stakeholders. The study will evaluate the economic viability of the PROUD collaborative care model for OUD—that is, from the perspective of the health care sector, to what extent do the downstream cost savings associated with improved patient outcomes offset the additional costs of the PROUD intervention? The specific aims are to (1) estimate the start-up and ongoing management costs of the PROUD intervention, (2) assess costs associated with health care utilization for patients who receive primary care treatment in PROUD and usual care clinics and have been identified with recognized OUDs before clinic randomization, and (3) estimate the economic value of the PROUD intervention, measured as net monetary benefit (NMB, incremental benefit minus incremental cost), from the health care sector perspective.

The opioid crisis continues its highly negative impact, with more than 49,000 opioid-related overdose deaths in 2017. In 2016, the Centers for Disease Control and Prevention (CDC) issued guidelines for opioid prescribing that included opioid dosing and risk mitigation strategies, and health systems implemented similar initiatives even earlier. This has resulted in a quickly changing and more conservative prescribing environment. National data indicate the number of prescriptions has fallen between 2013 and 2016. Registries and electronic health record (EHR) data are increasingly cited as valuable resources to address critical research questions on opioid use with high efficiency. To our knowledge, no investigators have established an EHR-based prescription opioid registry across several diverse health systems with common data algorithms with the flexibility to address multiple questions. The goal of the proposed research is to develop a prescription opioid registry across 10 diverse health systems with harmonized EHR data from years 2012-2018 and leverage it to answer several key “next-step” research questions in response to the opioid crisis. The registry will include medications prescribed for treatment of OUD, including buprenorphine products.

Very little research has been conducted on better understanding of phenotypic characterization of individuals with OUD (beyond DSM-5 diagnoses) and how these features predict illness severity, treatment retention or outcomes. The primary objective of the deep phenotyping study is to provide a comprehensive phenotypic characterization (e.g., domains of negative affect, reward salience, cognitive control, mental health) of a heterogeneous sample of individuals (n = 1,000) who currently meet one or more DSM-5 diagnostic criteria for OUD and are in treatment for OUD. In a subset of this sample (n = 100), the investigators conduct digital phenotyping to examine the utility of ecological momentary assessment (EMA), digital sensing and social media to predict retention, medication adherence and opioid use outcomes in patients receiving buprenorphine for OUD. It is anticipated that this foundational study will inform the feasibility and utility of such assessments that can be successfully embedded into imminent and future CTN and other OUD clinical trials.

Effective treatment for OUD has been shown to improve patient outcomes and reduce health care costs; however, evidence of this effect in primary care settings is severely limited. The health economic findings from this study will supplement the parent PROUD trial’s results regarding clinical effectiveness and implementation outcomes and provide critical contextual information for health systems and other health care stakeholders. The study will evaluate the economic viability of the PROUD collaborative care model for OUD—that is, from the perspective of the health care sector, to what extent do the downstream cost savings associated with improved patient outcomes offset the additional costs of the PROUD intervention? The specific aims are to (1) estimate the start-up and ongoing management costs of the PROUD intervention, (2) assess costs associated with health care utilization for patients who receive primary care treatment in PROUD and usual care clinics and have been identified with recognized OUDs before clinic randomization, and (3) estimate the economic value of the PROUD intervention, measured as net monetary benefit (NMB, incremental benefit minus incremental cost), from the health care sector perspective.