Creating a robust coordinated data and policy framework for addressing substance use issues in the United States.

Area of Science:

• Public Health
• Health Policy
• Data Science

Background:

• The opioid epidemic persists despite available data.
• Current data practices lack cross-sector coordination and actionable insights for policy.
• Existing research and practice have not fully leveraged data for crisis response.

Purpose of the Study:

• To advocate for enhanced data utilization in opioid crisis policy.
• To identify data limitations hindering effective policymaking.
• To propose a coordinated data and policy framework for improved public health outcomes.

Main Methods:

• Review of data challenges in opioid crisis response.
• Analysis of data characteristics (coverage, specificity, timeliness, geography, access).
• Consultation experience with state policymakers on data-informed strategies.

Main Results:

• Data coverage, specificity, timeliness, geographic relevance, and access are key barriers.
• Current data infrastructure is not optimized for policy planning.
• A coordinated framework is needed to bridge data and policy.

Conclusions:

• Enhanced data accessibility and quality are vital for effective opioid epidemic response.
• A coordinated data and policy framework can maximize public health and safety.
• Timely, meaningful data are essential to inform policy and combat the opioid crisis.