Description

In the continually shifting landscape of substance use and its dangerous consequences, selecting the right mix of programs and policies is crucial to achieving prevention outcomes in our communities. Decisions about which programs and policies to implement become even more critical when considering the scarcity of resources available for primary prevention. During this webinar, we will explore the power of data-informed decision-making using SAMHSA’s Strategic Prevention Framework (SPF) to create high-impact, comprehensive strategic plans that reduce substance use and its consequences.

Presenter

Alyssa O’Hair, MPH, MA, CPS, is a Senior Manager of Workforce Development at CASAT in the School of Public Health at the University of Nevada, Reno (UNR). With over 15 years of experience providing training and technical assistance, she currently serves as the Principal Investigator (PI) and Project Director for the Pacific Southwest Prevention Technology Transfer Center (PTTC) and PI/Regional Director for the Strategic Prevention Technical Assistance Center (SPTAC) for HHS Regions IX and X. In addition, she is the lead evaluator for the Pacific Southwest Rural Opioid Technical Assistance Regional (ROTA-R) center. O’Hair has extensive subject matter knowledge in training design and facilitation, technical assistance and consultation, the Strategic Prevention Framework, community needs assessments, and evaluation design and methodology. Prior to joining CASAT, she worked at UNR’s Center for Program Evaluation for almost 10 years, conducting evaluations for school districts, non-profit organizations, community coalitions, statewide education and public health initiatives, and regional public health initiatives.

Learning Objectives

• Participants will be able to identify and define types of data used for strategic planning.
• Participants will be able to explain how each data type contributes to strategic planning when using the Strategic Prevention Framework (SPF) model.
• Participants will be able to demonstrate how a logic model links data-informed priorities with best fit, evidence-based programs and policies and intended outcomes.

Content Level

Beginning and Intermediate.

• Beginning level courses introduce learners to a content area; include information about a condition, treatment method, or issue; and involve learning and comprehending content.
• Intermediate level courses provide information that builds on knowledge practitioners with some experience already have. These courses focus on skill-building or adding knowledge, possibly following a brief overview of basic information, and involve using information in concrete situations and understanding the underlying structure of the material.

Price: Education is FREE to all professionals.

Earn 1.5 Continuing Education Hour (CEs)