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Data-Driven Decision Making in the Strategic Prevention Framework: Three-part Series

10:30am - January 13, 2021 | Timezone: US/Central
Great Lakes PTTC
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The Great Lakes PTTC offers this training for prevention practitioners in HHS Region 5: IL, IN, MI, MN, OH, and WI

January 13: Part One:  Data throughout the SPF: Introduction and Assessment
January 27: Part Two:  Data throughout the SPF: Capacity, Planning, and Implementation
February 3: Part Three:  Data throughout the SPF: Evaluation and Sustainability  

10:30 am– 12:00 noon CST
11:30 am–1:00 pm EST

Please plan to attend all three of the training sessions. Only one registration needed - Zoom link will be the same for all three sessions.

These virtual training sessions will focus on the importance and role of data throughout the Strategic Prevention Framework (SPF).  The series will review the use of data to drive decision making throughout the SPF and in each of the five steps and two core themes. 

This highly interactive webinar series will use a logic model format to walk through a case study and give participants the opportunity to practice working with data within the SPF framework.

Learning Objectives for the Series

  • Summarize the importance of data-driven decision making in the Strategic Prevention Framework
  • Compare how data informs each of the five steps of the SPF
  • Describe the use of a logic model to track data throughout the SPF process
  • Apply data-driven decision-making tools to the SPF Process



Kyle Barrington

Kyle Barrington, PhD, has over 30 years’ experience in the field of substance use prevention and treatment. His experiences include being a substance use counselor, director of a dual-diagnosis hospital unit for adults and youth, director of an emergency shelter for runaway and homeless youth, and evaluator for local and statewide organizations. He has extensive experience evaluating the impact of alcohol and drug use prevention programs and practices. He has published peer-reviewed articles and has been quoted in several scholarly articles.