Using essential elements to select, adapt, and evaluate violence prevention approaches
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2017
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English
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Description:The mission of the Centers for Disease Control and Prevention’s (CDC) Division of Violence Prevention is to prevent injuries, deaths, and other health consequences that result from violence. The Division’s efforts focus on factors that place people at risk for and protect them from child maltreatment, youth violence, teen dating violence, sexual violence, intimate partner violence, suicide, and elder maltreatment. The Division’s work involves helping state and local partners plan, implement, and evaluate evidence-based prevention approaches. CDC’s ultimate goal is to stop violence before it begins, and most
of CDC’s prevention efforts focus on influencing factors that are associated with violence perpetration.
Preventing violence requires understanding the factors that influence it. CDC uses a four-level social-ecological model to better understand violence and the effects of potential prevention approaches. This model considers the complex interplay between individual, relationship, community, and societal influences on risk and protective factors. It allows us to understand the range of factors that put people at risk for or protect them from experiencing or perpetrating violence.
This document was developed through the Adaptation Project, funded by a grant from the Robert Wood Johnson Foundation from 2012-2016. The Adaptation Project was a partnership between the CDC Foundation, the Robert Wood Johnson Foundation, and the Centers for Disease Control and Prevention’s Division of Violence Prevention.
AK2017
Suggested citation: Perkinson, L., Freire, K.E., & Stocking, M. (2017). Using Essential Elements to Select, Adapt, and Evaluate Violence Prevention Approaches. Atlanta, GA: National Center for Injury Prevention and Control, Centers for Disease Control and Prevention.
adaptationguidance.pdf
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Pages in Document:47 numbered pages
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Main Document Checksum:urn:sha256:2bb74b19d9255b3fe805ec4438ae74386a281a674b653386eaea78b94132fff7
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