154574 **SESSION ABSTRACT** Building an exchange between politics and science: Moving from barriers to synergy in using data to enhance substance abuse prevention

Monday, November 5, 2007: 2:30 PM

Renée Boothroyd, PhD, MA, MPH, CHES , Gillings School of Global Public Health, Department of Health Behavior and Health Education, Peers for Progress, University of North Carolina at Chapel Hill, Chapel Hill, NC
Johanna Birckmayer, PhD, MPH , Pacific Institute for Research and Evaluation, Calverton, MD
In an age of data for decision making, policy makers and practitioners need to consider and use epidemiological data and other information to make informed decisions for public health. Yet data alone are insufficient for strengthening prevention systems. Deliberate strategies for synthesizing, interpreting, and presenting multiple indicators from different perspectives are required to translate empirical information into understandable and meaningful assessments. There is also the need to frame compelling, objective evidence in terms valued by the public to guide decision makers. How can we build such a functional data-driven decision making system that optimizes features of science and politics?

Beginning in 2004, 62 States, Jurisdictions, and tribal organizations have received federal funding from SAMHSA/CSAP to establish epidemiological workgroups, a network of people/ organizations that bring analytical and other data expertise to strengthen outcome-based thinking for substance abuse prevention. Upon identifying data constructs, indicators, and sources regarding substance use and related consequences, epidemiological workgroups are involved in describing and drawing inferences from the data. This information provides a basis for setting health priorities, allocating resources, planning, implementing, monitoring, and evaluating prevention efforts, and formulating prevention policies. The purpose of this session is to examine the systematic work among epidemiological workgroups and substance abuse prevention agencies to build data-guided decision making systems that strike a balance between rigor and relevance. Upon outlining core epidemiological workgroup tasks (ID#163201), four States will describe case studies of such data efforts and emergent lessons: Arkansas (ID#158427), Indiana (ID#161715), Kentucky (ID#155241), and North Carolina (ID#163703).

Learning Objectives:
1. Describe SAMHSA’s Strategic Prevention Framework, outcome-based prevention, and the epidemiological workgroup infrastructure and data systems for implementing them 2. Explore the realities and challenges of States’ using epidemiological data to identify prevention priorities and define data-guided approaches for allocating resources 3. Examine functional components of a data-guided decision making process that seeks to optimize a bridge between science and practice

Keywords: Substance Abuse Prevention, Epidemiology

Presenting author's disclosure statement:

Any relevant financial relationships? No
Any institutionally-contracted trials related to this submission?

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.