Data2Action Oregon Project: Supporting Data-driven Decision-Making for Substance Use Services, Policy, and Overdose Prevention

Summary

Oregon's decision makers (e.g., community service providers, public health, justice, advocacy groups, payers) are calling for comprehensive, current, and trusted data to inform how they allocate resources to improve substance use services and mitigate the growing opioid and methamphetamine epidemics in their state. Consistent with the HEAL Data2Action call for Innovation projects that drive action with data in real-world settings, this study will refine and test the impact of a novel implementation strategy to engage cross- sector decision makers and make data that they identify as relevant to their decisions available to them in easy- to-use products. The proposed study aims to not only address critical knowledge gaps regarding how and when data can inform impactful, transparent decision-making, but to provide decision makers with the data that they need to achieve community-wide substance use prevention and treatment goals, including the increased delivery of high-quality, evidence-informed, services and the prevention of overdoses.

Conditions

• Substance Abuse
• Decision Making, Shared
• Implementation Science
• Decision Making
• Organizations
• Substance-related Disorders
• Policy

Interventions

OTHER

Co-Design Sessions (CDS)

CDS uses principles and activities from Liberating Structures (LS) and Group Model Building (GMB). Each method uses semi-structured processes for engaging partners to collaborate with one another and address complex problems. Example activities and discussions include: identifying a shared vision for how data can inform decisions related to substance use service delivery and overdose prevention; identifying relevant data that should be disseminated; identifying decisions to be supported with data. Methods from human-centered design - an approach for developing products that are useful and easy to use - will be used to refine data products developed by the study team so that the data products are acceptable and useful to end users. Together, these three methods (Liberating Structures, group model building, human-centered design) will be used to engage partners to iteratively co-design products for disseminating data back to partners to inform their daily substance use service delivery.

OTHER

Data products

Data products disseminate localized data from local, state, or regional-level data sources to local (i.e., county) decision makers to inform their daily decision-making. Data products in counties assigned to CDS will receive fully tailored data products, while no-CDS counties will receive standardized data products. A suite of data products will be made available to inform diverse decisions by a variety of end users. Data products will be identified and prioritized during CDS, but may include reports, policy briefs, journey maps, and technical assistance for data interpretation.

Sponsors & Collaborators

• National Institute on Drug Abuse (NIDA)

  collaborator NIH

• University of California, San Diego

  collaborator OTHER

• Chestnut Health Systems

  lead OTHER

Study Design

Allocation

RANDOMIZED

Purpose

HEALTH_SERVICES_RESEARCH

Masking

NONE

Model

SEQUENTIAL

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2025-02-06

Primary Completion

2028-06-01

Completion

2028-08-31

Countries

• United States

Study Locations