Using data to implement pragmatic, action-oriented projects that reduce overdoses and improve opioid use disorder treatment and pain management.

Diversity People Group Team Union Concept

Using data to implement pragmatic, action-oriented projects that reduce overdoses and improve opioid use disorder treatment and pain management.

The Helping to End Addiction Long-term® Initiative, or NIH HEAL Initiative®, Data2Action Program (HD2A) supports Innovation and Acceleration Projects that make data more real-time and useful to accelerate the implementation of evidence-based interventions for opioid use disorder and pain management. HD2A supports efforts across the four pillars of the HHS Overdose Prevention Strategy: Primary Prevention, Harm Reduction, Evidence-Based Treatment, and Recovery Support.

Three centers provide scientific guidance and collaborative support to the HD2A program:

RASC logo

Research Adoption Support Center (RASC)

The RASC enhances the dissemination and implementation (D&I) research capability of the HD2A Innovation Projects and leverages this work to enhance the “implementability” of evidence-based practices beyond HD2A.

MERC

Modeling and Economic Resource Center (MERC)

The MERC provides consultation to the HD2A Innovation Projects about meta-modeling methods and cost analysis to facilitate the estimation of intervention effectiveness and impact.

DISC

Data Infrastructure Support Center (DISC)

The DISC assists HD2A Innovation Projects with data support, tools, coordination, training, and modernization.

Innovation and Acceleration Projects

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Supporting data-driven decision-making to support substance use service expansion policies and to prevent overdoses

Gracelyn Cruden
Chestnut Health Systems

Leveraging Data to Action: Accelerating Emergency Department OUD Care by Improving Data Access and Infrastructure

Arjun Venkatesh, Kathryn Hawk, Andrew Taylor
Yale University

The Use of Novel Linked Databases to Reduce Postoperative Opioid Use Among Patients Undergoing Inpatient Surgery

Eric Sun, Douglas Colquhoun
Stanford University

Chicago Data-driven OUD Screening, Engagement, Treatment and Planning System

Niranjan S. Karnik
University of Illinois Chicago

CADENCE: Continuous and Data-Driven Care

Kimberly Fryer, Jennifer Marshall
University of South Florida

Using Data to Drive Action to Reduce Opioid Overdoses in Seattle, WA

Caleb Banta-Green, Julia Hood
University of Washington

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

Charlie Neighbors, Yuhua Bao, Kelly Ramsey
New York University

Using System Dynamics Modeling to Foster Real-Time Connections to Care

Rebekah Heckmann, Nasim Sabounchi
Yale University

Fatal Overdose Review Teams – Research to Enhance Surveillance Systems (FORTRESS)

Matt Aalsma, Khairi Reda, Bradley Ray
Indiana University

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

Jason Hoppe
University of Colorado