Actively Recruiting
Supporting Data-driven Decision-Making to Support Substance Use Service Expansion Policies and to Prevent Overdoses
Led by Chestnut Health Systems · Updated on 2026-03-16
341
Participants Needed
1
Research Sites
13 weeks
Total Duration
On this page
Sponsors
C
Chestnut Health Systems
Lead Sponsor
N
National Institute on Drug Abuse (NIDA)
Collaborating Sponsor
AI-Summary
What this Trial Is About
This research focuses on supporting decision makers across various sectors in Oregon, such as community service providers, public health officials, justice system members, advocates, and payers, to improve substance use services and reduce overdoses. Oregon faces significant challenges with opioid and methamphetamine use and limited access to services. The study aims to provide these leaders with relevant, easy-to-use data to guide evidence-informed policies and actions that enhance substance use prevention and treatment statewide. The study evaluates a novel strategy called Co-Design Sessions (CDS), which engages decision makers in collaboratively identifying and refining data products tailored to their needs. Counties are randomly assigned to either participate in CDS and receive customized data products or to receive standardized data products later. CDS uses methods like Liberating Structures, Group Model Building, and human-centered design to create reports, dashboards, and other tools that support policy decisions. The study also includes an extension phase where all counties eventually receive data products. Participants will engage in surveys and assessments at multiple time points over approximately 42 months to measure community engagement, collaboration networks, trust in data, and the usability of data products. Researchers will monitor how these data tools influence policy decisions, substance use service availability, and overdose prevention efforts. The study ensures ongoing evaluation through these measurements and aims to develop sustainable methods for data sharing to support state-wide substance use service improvements.
CONDITIONS
Brief Title
Data2Action Oregon Project: Supporting Data-driven Decision-Making for Substance Use Services, Policy, and Overdose Prevention
Who Can Participate
Eligibility Criteria
You may qualify if you...
- At least 18 years old
- Has decision-making authority related to substance use service delivery or policy within their professional role
- Includes leadership (e.g., executive directors), middle managers (e.g., case managers, supervisors), frontline workers, or advisors (e.g., legislative staff, data analysts)
- Works in organizations involved in behavioral health, public health, health payment, first response, or health advocacy
You will not qualify if you...
- None
AI-Screening
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Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person or virtual) for eligibility assessment
Duration - Up to 2 years depending on wedge assignment
Participants in the CDS group will participate in 4 co-design sessions to collaborate and tailor data products for substance use service decision-making.
4 sessions (in-person or virtual)
Duration - Up to 2 years depending on wedge assignment
Participants receive data products, either fully tailored through CDS or standardized, to inform their daily decision-making related to substance use services and policy.
Data products provided at key timepoints (T3 or T4)
Duration - Approximately 42 months post-baseline
Participants are observed through surveys and assessments measuring community engagement, collaboration, trust in data, and usability of data products over multiple timepoints.
Surveys at baseline, 15, 18, 30, and 42 months post-baseline; annual usability assessments for up to 2 years after data product release
Trial Site Locations
Total: 1 location
1
Chestnut Health Systems
Eugene, Oregon, United States, 97401
Actively Recruiting
Research Team
G
Gracelyn Cruden, PhD, MA
J
Jessica Harrison, MS
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
SEQUENTIAL
Primary Purpose
HEALTH_SERVICES_RESEARCH
Number of Arms
2
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