Funded Projects

As part of an ongoing teleECHO learning collaborative (LC),this study will expand clinical research training in evidence-based quality improvementmethods that were central to delivering and sustaining science-based medication-assisted treatment for opioid use disorder (MOUD) within the Vermont Hub-and-Spoke Model (HSM) with fidelity. Participating primary care practices will be trained in the (1) use of astudy-developedtoolkit of research and evaluationquality improvementmethodsintended to expand provider knowledge and performance in the delivery of evidence-based MOUD, (2) systematic tracking of standardized outcome metrics, and (3) sharing of these standardized data with other LC membersso that practices can use this empirical information to refine their care model over time. The study will measure changes in providers’ knowledge about best practices for MOUD, their comfort in caring for OUD patients with MOUD and their performance on all the standardized outcome metrics.

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.

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.

The growing opioid use epidemic in the U.S. has been associated with a significant increase in the prevalence of pregnant opioid-dependent women and neonatal abstinence syndrome, which is associated with adverse health effects for the infant and with costly hospitalizations. Maintenance with sublingual (SL) buprenorphine (BUP) is efficacious for opioid use disorder but has disadvantages that may be heightened in pregnant women, including the potential for poor adherence, treatment dropout, and negative maternal/fetal effects associated with daily BUP peak-trough cycles. Extended release (XR) formulations may address some of these disadvantages. The primary objective of CTN-0080 is to evaluate the impact of treating opioid use disorder in pregnant women (n = 300) with BUP-XR, compared to BUP-SL, on maternal-infant outcomes. Other objectives include testing a conceptual model of the mechanisms by which BUP-XR may improve maternal-infant outcomes, relative to BUP-SL; determining the economic value of BUP-XR, compared with BUP-SL, to treat OUD in pregnant women; and evaluating the impact of BUP-XR, relative to BUP-SL, on neurodevelopment when the infant/child is approximately 12 and 24 months of age. Ultimately, this study will help in increasing access to treatment as well as provide quality care for pregnant/postpartum women.

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.

The U.S. is in the midst of a devastating opioid epidemic. Since 1999, the number of overdose (OD) deaths involving opioids has quadrupled. These trends are magnified among American Indians/Alaska Natives (AI/ANs) compared to other racial/ethnic groups. AI/ANs are second only to Whites in the rate of OD mortality (8/100,000 versus 12/100,000 deaths, respectively). Medications for opioid use disorder (OUD; i.e., methadone, buprenorphine and naltrexone) are considered the most effective treatment, reducing mortality and increasing abstinence and retention. However, numerous barriers limit the uptake of medications for OUD in tribal communities and within urban treatment settings serving AI/AN individuals. This is a two-phase formative research study to develop and test an implementation intervention for programs to provide medications to treat OUD specifically with AI/AN consumers. The objective of Phase I (12 months) is to develop a culturally centered implementation intervention to integrate medications for opioid use disorder (MOUD) into health care/addiction specialty settings. The objective of Phase II (24 months) is to conduct a preliminary test of the implementation intervention at four sites serving AI/AN communities. Community-based participatory research (CBPR) methods will be used throughout both phases. This study will help with decreasing stigma and increase the utilization of MOUD in health care settings that serve AI/AN populations.

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.

People who use opioids in rural areas suffer worse health and less insurance coverage. The opioid problem in rural areas is of particular concern, as rural areas have higher overdose rates despite equivalent rates of OUD. This is because rural areas have a scant number of clinics and clinicians who provide medication treatment for OUD. Thus, people living in rural areas must travel long distances to access clinics that may or may not have expertise in providing treatment to patients with OUD. Telemedicine (TM) could efficiently increase capacity for delivery of buprenorphine in rural areas and may increase the number of patients receiving medication treatment and improve treatment retention and outcomes. While the development of medication treatments for opioid use disorder (MOUD) capacity in primary care settings with optimal/comprehensive services is desirable, the current opioid crisis with escalating overdose death rates in rural areas suggests a need to implement an efficient, cost-effective system of MOUD services that can be scaled up quickly. The use of a centralized and Medicare-covered TM vendor utilizing a developed methodology and established organizational infrastructure offers the great potential for a rapid rollout to increase access to MOUD and improve treatment retention in rural areas. This cluster randomized clinical trial with two phases will test expanded treatment access to improve retention on MOUD in highly affected rural areas. Phase I will include implementing telemedicine in a limited number of rural sites with varying levels of office-based opioid treatment (OBOT) to inform implementation strategies for the main trial, and Phase II will include evaluate comparative effectiveness between OBOT alone and OBOT + TM at 30 sites.

There is a significant treatment gap between patients diagnosed with OUD and those who seek treatment, and only a small proportion of those seeking treatment receive MOUD. Primary care is the most common point of health care contact in the U.S. and is an important venue to address stigma, improve access to treatment and improve quality of care. Over the past decade, electronic health record (EHR)-linked Web-based point-of-care clinical decision support (CDS) systems designed to improve quality of chronic disease care have become increasingly sophisticated and successful. A Web-based and EHR-integrated OUD CDS system to offer expert guidance to primary care providers (PCPs) on the diagnosis and management of OUD was developed and piloted. This project will implement the OUD clinical decision support system in three large diverse health care systems and randomize a minimum of 30 clinics to receive the OUD-CDS intervention or usual care (UC). The project will evaluate the impact of OUD CDS on practice process measures and patient outcomes. The study will also prepare for scalability and dissemination by evaluating facilitators and barriers to implementation, determining the costs of implementation and maintenance and assessing the short-term cost impacts of the OUD-CDS.

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.

This health care data mining study analyzes existing Veterans Health Administration data sets to examine patient and organizational characteristics associated with buprenorphine termination during outpatient OUD treatment. This project will generate data useful for predictive modeling on how to implement targeted approaches to improve retention in OUD treatment. An objective is to identify patient, provider and system targets to reduce unnecessary or inappropriate discontinuation of buprenorphine care. These analyses are critical for establishing initial constructs to evaluate reasons for treatment discontinuation based upon patient, provider and system factors in different health care settings.

The opioid overdose epidemic is increasingly affecting urban, poor and predominantly minority populations in the U.S., including Washington, D.C., as indicated by rapidly increasing overdoses clustered in medically underserved, economically disadvantaged, largely African American areas of the District and many of the nation’s other largest cities. This study seeks to (1) develop, implement and conduct a preliminary evaluation of an integrated, community-based collaborative care model, employing peer recovery coaches and telepsychiatry services, to improve utilization and effectiveness of MOUD in Federally Qualified Health Centers (FQHCs) and (2) use a community-based participatory research approach to develop, implement and conduct a preliminary evaluation of outreach, engagement and recovery support interventions in nontraditional community settings (e.g., grassroots community groups, churches or religious organizations, soup kitchens, black barber shops or nail or hair salons).

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.