Funded Projects

The project will apply natural language processing to a rich repository of suicide and other clinical electronic health record and vital statistics to detect opioid problem-related encounters in order to (1) explore the relation between suicide risk and opioid misuse and (2) test whether a Zero Suicide model?s intervention effect is moderated by opioid misuse and whether it can also help to reduce opioid-related harm. First, the team will extract opioid-related EHR data using a combination of diagnostic codes and natural language processing, validated by structured manual chart review using a standardized procedure. Next, they will analyze the interplay between suicide risk and opioid problems in encounters and patients within the repository. Third, they will assess the effect of Zero Suicide implementation on prospective fatal and non-fatal suicidal behavior in patients with an opioid problem and examine whether the implementation had an effect on the incidence of opioid-related outcomes, including intentional overdose.

Increasing primary care clinician intention and behavior to obtain waivers to prescribe buprenorphine for treatment of opioid use disorder and increase use of the Opioid Wizard, a clinical decision support tool, has potential for patient benefit. This supplement will provide support to evaluate a training tool as an intervention to reduce stigma in primary care clinics by integrating a stigma reduction training component into the Opioid Wizard training at multiple sites of the NIDA Clinical Trial Network. Primary care providers will be randomized to novel stigma reduction training, grounded in stigma science, or an attention-control training to determine whether stigma reduction training reduces provider stigma, increases intention to apply for a waiver to prescribe buprenorphine, and ultimately increase the likelihood that providers use Opioid Wizard. The proposed supplement will utilize the randomized controlled trial design embedded in the larger multisite trial to evaluate the Opioid Wizard tool to help primary care clinicians identify, diagnose, and treat patients with opioid use disorder while evaluating the effect of the stigma reduction training.

Due to the opioid misuse epidemic across the nation, more infants are being exposed to narcotics during fetal life and developing neonatal opioid withdrawal syndrome (NOWS) in the neonatal period. Critical gaps remain in our knowledge with respect to best practices for identifying and managing infants with NOWS and no large-scale studies have been published on treatments undertaken and later outcomes of infants with NOWS. To address these gaps in knowledge, the Advancing Clinical Trials in Neonatal Opioid Withdrawal Syndrome (ACT NOW) study will evaluate treatment options and improve clinical care of infants with NAS/NOWS. This collaborative effort will conduct two trials: 1) Eating, Sleeping, Consoling for Neonatal Withdrawal (ESC-NOW): a Function-Based Assessment and Management Approach (ESC Study); and 2) Pragmatic, Randomized, Blinded Trial to Shorten Pharmacologic Treatment of Newborns With Neonatal Opioid Withdrawal Syndrome (NOWS) (Weaning Study).

One novel approach to address the opioid crisis is predicting the likelihood of retention in treatment for opioid use disorder (OUD) by assessing someone?s risk of early departure from treatment. Current methods rely on providers intuition to identify when an individual is at risk of leaving treatment early in order to intervene. This intervention, when it happens, often comes too late. Mobile health (mHealth) and Machine Learning (ML) predictive analytics offer a new opportunity to personalize OUD treatment, improve retention in OUD care, and mitigate the risk of relapse and overdose episodes. Project Motivate will combine physiological and behavioral data from disparate sources in order to predict when an individual is at risk of early departure from OUD treatment. If successful, results of the study will save lives, and lower medical costs, municipal emergency response costs, recidivism, workplace accidents, lost workplace productivity and costs to families.

The United States is in the middle of two intertwined epidemics. Suicide and overdose deaths are at record levels. Opioid use disorder and mental illness are major contributors to both, with the highest death rates seen in people with co-occurring disorders (COD). This competitive revision tests whether enhancements to the collaborative care (CC) model adapted for co-occurring disorders improves retention in medication treatment and decreases suicide and overdose risk. The three additional components include: (1) education of family members about addiction and medication treatment; (2) training for family members to administer naloxone and on how to reduce opioid risk behaviors, and (3) implementation of Caring Contacts, a suicide prevention intervention. This study will examine patient and family member attitudes toward overdose education and naloxone in the population with COD; examine and then intervene with family members around patients? use of medication; and test in the COD population the effectiveness of universal suicide and overdose prevention programs.

Buprenorphine has been shown to be is an effective method for treating Opioid Use Disorder (OUD). However, despite its success, treatment retention rates are notoriously low ? about half of those seeking treatment will have dropped out within the first 6 months. One factor known to negatively impact treatment adherence is stigma. This stigma derives from not only being viewed as individuals with OUD, but even as individuals seeking medications for OUD as these medications often include other forms of opioids. Additionally, individuals with OUD often suffer from other conditions, including psychiatric illness, leading them to live with multiple stigmatized identities. This study will develop tools to assess stigma associated with OUD, seeking medical treatment for OUD, and mental health. This knowledge will then be used to adapt the parent award?s mobile Health intervention intended to overcome stigma barriers and increase adherence to buprenorphine treatment for OUD.

Neonatal opioid withdrawal syndrome (NOWS) has emerged as a tragic by-product of the opioid epidemic. Newborns whose mothers used opioids while pregnant can experience symptoms of opioid withdrawal in the days following birth, such as tremors, irritability, seizures, sleep, digestive, and feeding problems. However, little is known about the effect of antenatal opioid exposure on longer-term infant development over time. To address this gap in understanding, the ACT NOW Longitudinal study is examining a crucial developmental period from birth to two years of life through a comprehensive battery of assessments, including MRI imaging, neurodevelopmental behavioral assessments, and family report measures. This longitudinal cohort study is projected to include a total of 375 infants, 250 who were exposed to opioids and 125 matched controls.

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.

Despite increased efforts to understand the neurodevelopmental sequelae of in utero opioid and other substance exposure on long-term behavioral, cognitive, and societal outcomes, important questions remain, specifically, 1) How is brain growth disrupted by fetal substance and related pre- and post-natal exposures? and 2) How are these disrupted growth patterns causally related to later cognitive and behavioral outcomes? This project seeks to formulate an approach to addressing these key questions and decipher the individual and cumulative effect of these intertwined pre- and post-natal exposures on child neurodevelopment. First, researchers will address the legal, ethical, and mother-child care and support concerns implicit in this study. Next, they will integrate across our areas of neuroimaging expertise to develop, implement, and harmonize a multi-modal MRI and EEG protocol to assess maturing brain structure, function, and connectivity. Finally, researchers will develop and test advanced statistical approaches to model and analyze this multidimensional and longitudinal data.

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.

The Planning for the HEALthy Early Development Study will contribute to the design and recommended protocol for a future large-scale, multi-site research study to prospectively examine human brain, cognitive, behavioral, social, and emotional development of children beginning prenatally through ages 9–10 and to determine the impact of maternal pre- and postnatal substance use on short- and long-term development of children. The planning study will link investigators across 6 research sites who have complementary experience and expertise in the areas that are essential to designing the study. Planning activities will be accomplished using a coordinated set of 10 working groups. By the end of the planning phase, the 6 consortium sites will have produced and tested a recommended protocol for the future multi-site study and will have established feasibility of carrying out the study protocol at each of the 6 linked sites.

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.