Funded Projects

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Project # Project Title Research Focus Area Research Program Administering IC Institution(s) Investigator(s) Location(s) Year Awarded
3UG1DA015815-17S4
Selection Bias-Free Estimation of the Impact of Drug-Focused 12-step Mutual Help Groups Translation of Research to Practice for the Treatment of Opioid Addiction Enhancing the National Drug Abuse Treatment Clinical Trials Network to Address Opioids NIDA UNIVERSITY OF CALIFORNIA, SAN FRANCISCO SORENSEN, JAMES L.; KORTHUIS, PHILIP TODD San Francisco, CA 2018
NOFO Title: Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional)
NOFO Number: PA-18-591
Summary:

Using a meta-analytic approach, this study analyzes existing data sets of individuals with drug use disorders to determine the impact of drug-focused 12-step mutual help groups, free of selection bias, in reducing opioid consumption and opioid-related problems.These data will be used to predict how augmentation of 12-step mutual help groups, added to medications for opioid use disorder (MOUD), may be used to improve retention in OUD treatment.
75N95019D00013-0-759501900091-1
Clinic-Randomized Trial of Clinical Decision Support for Opioid Use Disorders in Medical Settings Translation of Research to Practice for the Treatment of Opioid Addiction Enhancing the National Drug Abuse Treatment Clinical Trials Network to Address Opioids NIDA Emmes Corporation VanVeldhuisen, Paul Rockville, MD 2019
NOFO Number:
Summary:

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.
3UG1DA015831-18S6  
Exemplar Hospital Initiation Trial to Enhance Treatment Engagement (EXHIT ENTRE) Translation of Research to Practice for the Treatment of Opioid Addiction Enhancing the National Drug Abuse Treatment Clinical Trials Network to Address Opioids NIDA McLean Hospital Weiss, Roger Belmont, MA 2019
NOFO Title: Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional)
NOFO Number: PA-18-591
Summary:

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.
3UG1DA013732-19S4
Validation of a Community Pharmacy-based Prescription Drug Monitoring Program Risk Screening Tool (PHARMSCREEN) Translation of Research to Practice for the Treatment of Opioid Addiction Enhancing the National Drug Abuse Treatment Clinical Trials Network to Address Opioids NIDA University of Cincinnati WINHUSEN, THERESA M Cincinnati, OH 2019
NOFO Title: Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional)
NOFO Number: PA-18-591
Summary:

Community pharmacies are optimal—yet underutilized—settings for identifying individuals with opioid use disorder (OUD) and increasing their access to treatment. Approximately 93 percent of individuals in the U.S. live within 5 miles of a community pharmacy. The most common opioid-related tool available to pharmacists is the prescription drug monitoring program (PDMP), which provides highly limited information and support for clinical decision making. Appriss Health, the largest U.S. PDMP vendor, covering 42 states, has developed an opioid risk measure, the NarxScore. This study will clinically validate the NarxScore metric and identify high, moderate and low opioid risk thresholds to inform OUD care management within urban and rural community pharmacies. This is a prospective cross-sectional comprehensive OUD risk and behavioral/physical health survey administered electronically with patients (n = 1,523) filling opioid medications in urban/rural community pharmacies in Ohio (pharmacy sites: n = 12) and Indiana (pharmacy sites: n = 3), states that continue to have disproportionately high rates of overdose and opioid prescribing. Correlation, regression and kappa statistics will be calculated for validation; receiver operating curves with sensitivity/specificity values will be employed for threshold identification (with >95 percent power to detect an area of 0.7 under the curve value).