Funded Projects

Explore our currently funded projects. You may search with all three fields, then focus your results by applying any of the dropdown filters. After customizing your search, you may download results and even save your specific search for later.

Project # Project Title Research Focus Area Research Program Administering IC Institution(s) Investigator(s) Location(s) Year Awarded
4R33DA057667-02
CADENCE - Continuous And Data-drivEN CarE Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA UNIVERSITY OF SOUTH FLORIDA MARSHALL, JENNIFER (contact); WRIGHT, TANNER Tampa, FL 2024
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-DA-22-051
4R33DA059169-02
Leveraging Data to Action: Accelerating Emergency Department OUD Care by Improving Data Access and Infrastructure Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA YALE UNIVERSITY VENKATESH, ARJUN KRISHNA (contact); HAWK, KATHRYN; TAYLOR, RICHARD ANDREW New Haven, CT 2024
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation and Acceleration Projects, Phased Awards (R61/R33, Clinical Trial Optional)
NOFO Number: RFA-DA-23-057
4R33DA057600-02
Using data to drive action to reduce opioid overdoses in Seattle, WA Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA UNIVERSITY OF WASHINGTON BANTA-GREEN, CALEB (contact); HOOD, JULIA ELIZABETH Seattle, WA 2024
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-DA-22-051
4R33DA057610-02
Improving pain management and opioid safety through a systemwide, data driven evaluation of the CDC opioid prescribing guideline best practices and the use of Clinical Decision Support Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA UNIVERSITY OF COLORADO DENVER HOPPE, JASON Aurora, CO 2024
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-DA-22-051
4R33DA057660-02
Fatal Overdose Review Teams - Research to Enhance Surveillance Systems (FORTRESS) Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA INDIANA UNIVERSITY INDIANAPOLIS AALSMA, MATTHEW (contact); RAY, BRADLEY; REDA, KHAIRI Indianapolis, IN 2024
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-DA-22-051
4R33DA059163-02
Supporting data-driven decision-making to support substance use service expansion policies and to prevent overdoses Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA CHESTNUT HEALTH SYSTEMS, INC. CRUDEN, GRACELYN Eugene, OR 2024
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation and Acceleration Projects, Phased Awards (R61/R33, Clinical Trial Optional)
NOFO Number: RFA-DA-23-057
4R33DA057683-02
Leveraging regulatory flexibility for methadone take-home dosing to improve retention in treatment for opioid use disorder: A stepped-wedge randomized trial to facilitate clinic level changes Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA NEW YORK UNIVERSITY SCHOOL OF MEDICINE NEIGHBORS, CHARLES J (contact); BAO, YUHUA; RAMSEY, KELLY S New York, NY 2023
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-DA-22-051
1R61DA059163-01
Supporting Data-Driven Decision-Making to Support Substance Use Service Expansion Policies and to Prevent Overdoses Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA CHESTNUT HEALTH SYSTEMS, INC. CRUDEN, GRACELYN Bloomington, IL 2023
NOFO Title: HEAL Initiative: HEAL Data2Action – Innovation and Acceleration Projects, Phased Awards (R61/R33, Clinical Trial Optional)
NOFO Number: RFA-DA-23-057
Summary:

Oregon ranks last in the United States for access to substance use services, having passed a novel ballot measure bringing unprecedented funding levels to expand services and decriminalize possession of personal amounts of substances. This project will develop and evaluate a strategy to inform development of the policy. Cross-sector participants (e.g., community service providers, law enforcement, advocates) will co-design protocols for linking and distributing substance use service data through reports, simulations, and dashboards. This research will test the usability of the developed products and their impact of DDS on service gaps, evidence-based decision-making, quality of evidence-based services, service recipient outcomes, and cross-sector collaboration. The research will also help state decision makers implement strategies for other substance use policies.

1R61DA059168-01
The Use of Novel Linked Databases to Reduce Postoperative Opioid Use Among Patients Undergoing Inpatient Surgery Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA STANDFORD UNIVERSITY SUN, ERIC (contact); COLQUHOUN, DOUGLAS ALASTAIR Stanford, CA 2023
NOFO Title: HEAL Initiative: HEAL Data2Action – Innovation and Acceleration Projects, Phased Awards (R61/R33, Clinical Trial Optional)
NOFO Number: RFA-DA-23-057
Summary:

Older adults make up more than half of all surgical patients in the United States, putting them at risk for a range of harmful outcomes including misusing opioids, developing opioid use disorder (OUD), opioid overdose, and surgical complications. This project seeks to understand whether pre-surgery interventions can prevent harmful opioid-related outcomes. The research will combine data from a registry of electronic health records and from Medicare claims data to learn about the relationship between these interventions and opioid-related outcomes including persistent opioid use, OUD, and other harmful outcomes.

1R61DA057629-01A1
Chicago Data-driven OUD Screening, Engagement, Treatment and Planning (C-DOSETaP) System Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA UNIVERSITY OF ILLINOIS AT CHICAGO KARNIK, NIRANJAN Chicago, IL 2023
NOFO Title: HEAL Initiative: HEAL Data2Action – Innovation and Acceleration Projects, Phased Awards (R61/R33, Clinical Trial Optional)
NOFO Number: RFA-DA-23-057
Summary:

Health services for the treatment of opioid use disorder (OUD) are fragmented in west Chicago, an epicenter for overdose deaths. This project will develop a data-driven opioid response plan involving key partners. These include local health departments, community organizations, health care systems, and people with lived experience. The research will develop a digital screening tool for OUD that can be used in hospitals and their emergency departments. The tool will be built from machine learning of data from electronic health records, the prescription drug monitoring program, and patient-reported measures. The research will test the value of the screening tool for connecting people to treatment and preventing fatal overdoses mortality in local neighborhoods.

1R61DA059169-01
Leveraging Data to Action: Accelerating Emergency Department OUD Care by Improving Data Access and Infrastructure Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA YALE UNIVERSITY VENKATESH, ARJUN KRISHNA (contact); HAWK, KATHRYN; TAYLOR, RICHARD ANDREW New Haven, CO 2023
NOFO Title: HEAL Initiative: HEAL Data2Action – Innovation and Acceleration Projects, Phased Awards (R61/R33, Clinical Trial Optional)
NOFO Number: RFA-DA-23-057
Summary:

Emergency departments (EDs) are key settings for identifying and treating opioid use disorder (OUD), but EDs are underused for this purpose. This project aims to develop a data system that automates and integrates electronic health record and administrative data from EDs into the Clinical Emergency Department Registry, partnering with the American College of Emergency Physicians. The research will assess the digital readiness of ED systems before developing and deploying the enhanced ED OUD data infrastructure. This research aims to guide near-real time hospital quality improvement initiatives, toward development of a web-based, near-real time dashboard that can be used in EDs across the country.

1R61DA057600-01
Using Data to Drive Action to Reduce Opioid Overdoses in Seattle, WA Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA UNIVERSITY OF WASHINGTON BANTA-GREEN, CALEB (contact); HOOD, JULIA ELIZABETH Seattle, WA 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-DA-22-051
Summary:

This project will use a data-to-action framework to guide implementation of opioid use disorder treatment and harm reduction interventions based on rapid data analysis. It will leverage existing data systems such as Emergency Medical Services (EMS) reports, mobile integrated health case management data, and medical examiner data for near real-time data analyses, visualization, and action planning. This research will collect a range of data (opioid treatment, use of acute care services, morbidity, mortality, incarceration, housing support, and cost benefits) from a sub-acute stabilization center for people at high risk for opioid overdose, including those who have recently overdosed and are referred and transported by EMS teams.

1U24DA057612-01
WF DISC: Navigating Data Solutions for Chronic Pain and Opioid Use Disorder Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA WAKE FOREST UNIVERSITY HEALTH SCIENCES ADAMS, MEREDITH C B Winston-Salem, NC 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Data Infrastructure Support Center (U24 Clinical Trial Optional)
NOFO Number: RFA-DA-22-052
Summary:

This project creates the HEAL Data2Action Data Infrastructure Support Center that will conduct research as well as support the HEAL Data2Action Innovation Projects with analytics and support for navigating electronic health records and other “big data” sources, as well as logistical processes related to privacy and ethics. The center will help plan for data collection and assessing outcomes, as well as provide data visualization efforts for various stakeholders. Key support mechanisms include courses, seminars, conferences, trainings, and on-demand technical assistance.

1U2CDA057717-01
HD2A Research Adoption Support Center (RASC) Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA STANFORD UNIVERSITY MCGOVERN, MARK P (contact); BECKER, SARA J; BECKER, WILLIAM C; BROWN, C HENDRICKS Redwood City, CA 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Research Adoption Support Center (U2C Clinical Trial Optional)
NOFO Number: RFA-DA-22-050
Summary:

This project creates the HEAL Data2Action Research Adoption Support Center to support the HEAL Data2Action Innovation Projects. It will provide supportive evidence for prevention and treatment practices, form implementation strategies, assess outcomes, obtain feedback from the projects, and assess readiness for scalability. This center will offer on-demand technical assistance, host a learning collaborative, harmonize dissemination and implementation data, provide implementation support, and help with stakeholder engagement. The research will also catalogue evidence-based and emerging opioid use disorder and pain management practices as a resource to the field. The center will address timely, high-priority implementation challenges.

1R61DA057667-01
CADENCE – Continuous and Data-drivEN CarE Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA UNIVERSITY OF SOUTH FLORIDA FRYER, KIMBERLY (contact); MARSHALL, JENNIFER Tampa, FL 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-DA-22-051
Summary:

Maternal opioid use disorder is the leading cause of death for women who die within a year of giving birth. Many pregnant women do not have access to prenatal care and medications known to be standard of care for opioid use disorder. This project will create, measure, and evaluate costs for an interactive dashboard that collects and analyzes data about maternal, newborn, and infant outcomes for pregnancies affected by opioid use disorder. This research will also monitor mothers’ use of medications for opioid use disorder and the number of infants born with neonatal withdrawal syndrome that require medication treatment.

1U24DA057650-01
HEAL Data2Action Modeling and Economic Resource Center Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA WEILL MEDICAL COLL OF CORNELL UNIV SCHACKMAN, BRUCE R (contact); LINAS, BENJAMIN P; MCCOLLISTER, KATHRYN E New York, NY 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Modeling and Economic Resource Center (U24 Clinical Trial Optional)
NOFO Number: RFA-DA-22-049
Summary:

This project creates the HEAL Data2Action Modeling and Economic Resource Center that will conduct research as well as support the HEAL Data2Action Innovation Projects with expertise and consultation about simulation modeling and economic evaluation methods. The consultation service will advise on how to select and use various research methods, including economic evaluation, simulation modeling, advanced statistical analysis, behavioral economics, treatment program organization research, and cost analysis. The center will use a dynamic simulation model of opioid use disorder to enhance data-driven decision making. The center will also provide online training resources, tools, and other resources to assess a variety of economic aspects related to the HEAL Data2Action Innovation Projects.

1R61DA057610-01
Improving Pain Management and Opioid Safety Through a Systemwide, Data Driven Evaluation of the CDC Opioid Prescribing Guideline Best Practices and the Use of Clinical Decision Support Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA UNIVERSITY OF COLORADO DENVER HOPPE, JASON Aurora, CO 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects
NOFO Number: RFA-DA-22-051 
Summary:

Clinical decision support tools help clinicians make treatment decisions based on routinely collected data and offer a promising strategy to implement evidence-based practices for safe and effective pain management. This project will use clinical decision support tools embedded into electronic health records to help healthcare providers make treatment decisions that align with opioid prescribing guidelines from the Centers for Disease Control and Prevention (CDC). The project will also use information from prescription drug monitoring programs, insurance claims, and mortality data to evaluate patient outcomes. This research will evaluate how prescribing practices that align with CDC guidelines affect patient outcomes and whether clinical decision support tools provide an advantage over standard care practices for pain management.

1R61DA057675-01
Using System Dynamics Modeling to Foster Real-Time Connections to Care Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA YALE UNIVERSITY HECKMANN, REBEKAH (contact); S SABOUNCHI, NASIM New Haven, CT 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-DA-22-051
Summary:

First responders prevent many overdose deaths by providing life-saving resuscitation and giving naloxone to reverse an opioid overdose. This project will use a modeling approach to assess the impact of Good Samaritan Laws that protect people from certain criminal penalties if they call 911 to save an overdose victim by giving naloxone on overdose mortality. This research will develop and test a novel, scalable, telehealth platform that can be used at the time of an opioid overdose to link patients with access to medication for opioid use disorder, harm reduction services, and recovery support. The research will be informed by patient-outcome data.

1R61DA057660-01
Fatal Overdose Review Teams – Research to Enhance Surveillance Systems (FORTRESS) Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS AALSMA, MATTHEW (contact); RAY, BRADLEY ; REDA, KHAIRI Indianapolis, IN 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-DA-22-051
Summary:

Overdose fatality review teams review cases of overdose deaths to identify system gaps and innovative prevention and intervention strategies. With the rise in overdose deaths, these multidisciplinary teams require more timely population-level data to inform their recommendations. This project will develop the Overdose Touchpoints Dashboard that uses real-time data and records from multiple sources to help visualize common “overdose touchpoints” for harm reduction services and treatment opportunities. This research will compare use of the dashboard to standard overdose fatality review practices. The project will assess multiple aspects related to use of the dashboard, including process, staff attitudes, implementation successes, and usability.

1R61DA057683-01
Leveraging Regulatory Flexibility for Methadone Take-Home Dosing to Improve Retention in Treatment for Opioid Use Disorder: A Stepped-wedge Randomized Trial to Facilitate Clinic Level Changes Cross-Cutting Research Translating Data 2 Action to Prevent Overdose NIDA NEW YORK UNIVERSITY SCHOOL OF MEDICINE NEIGHBORS, CHARLES J (contact); BAO, YUHUA ; RAMSEY, KELLY S New York, NY 2022
NOFO Title: HEAL Initiative: HEAL Data2Action Innovation Projects (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-DA-22-051
Summary:

During the COVID-19 public health emergency, the Substance Use and Mental Health Services Administration relaxed regulations for take-home dosing of methadone, offering an opportunity to improve methadone treatment access and address racial and ethnic disparities. This project aims to address regulatory, legal liability, and financial concerns related to clinical practice changes in opioid treatment programs. The project will first review state administrative data and conduct qualitative interviews to inform the intervention approach. The project will then evaluate an opioid treatment program intervention involving take-home methadone and its effect on take-home dosing, retention in care, and health outcomes for Black/African American and Hispanic/Latino individuals who take methadone for opioid use disorder.