Selecting Evidence-based Interventions: Finding the
Webinar Date: July 28, 2021
Webinar Support Materials:
Prevention leaders are dedicated to improving the health of their communities through effective strategies to reduce substance misuse and its related consequences. Perhaps the most critical decisions prevention staff weigh are what set of interventions to implement, typically with limited resources. This webinar will provide an introduction to best processes and resources available to use when making these critical decisions. Attendees will also be given priority to enroll in a new 6-week distance learning course for in-depth, skill-based and real-world learning and practice in selecting evidence-based programs, practices, and policies.
By the end of this training, participants will be able to:
• Describe key features of an evidence-based intervention
• Name at least two locations to locate potential evidence-based interventions
• Describe the three conditions for determining the “fit” of an evidence-based intervention
Community, tribal, jurisdiction, and state-level prevention practitioners and allied health partners and community members located in the Pacific Southwest states and jurisdictions of American Samoa, Arizona, California, Commonwealth of the Northern Mariana Islands, Federated States of Micronesia, Guam, Hawaii, Nevada, Republic of the Marshall Islands, and the Republic of Palau.
Alyssa O’Hair, MPH, MA, CPS. Alyssa O’Hair is a Senior Manager, Workforce Development at
the Center for the Application of Substance Abuse Technologies (CASAT) at the University of
Nevada, Reno (UNR). With over 10 years of experience providing training and technical
assistance, she currently serves as the Project Director for the Pacific Southwest Prevention
Technology Transfer Center, which aims to build the skills of the substance abuse prevention
workforce. Alyssa has extensive subject matter knowledge in training and technical assistance
provision; public health approach for prevention; community needs assessments; data-driven
decision-making; and evaluation design and methodology.