Literature DB >> 19136443

Logic models as a tool for sexual violence prevention program development.

Stephanie R Hawkins1, A Monique Clinton-Sherrod, Neil Irvin, Laurie Hart, Sarah Jane Russell.   

Abstract

Sexual violence is a growing public health problem, and there is an urgent need to develop sexual violence prevention programs. Logic models have emerged as a vital tool in program development. The Centers for Disease Control and Prevention funded an empowerment evaluation designed to work with programs focused on the prevention of first-time male perpetration of sexual violence, and it included as one of its goals, the development of program logic models. Two case studies are presented that describe how significant positive changes can be made to programs as a result of their developing logic models that accurately describe desired outcomes. The first case study describes how the logic model development process made an organization aware of the importance of a program's environmental context for program success; the second case study demonstrates how developing a program logic model can elucidate gaps in organizational programming and suggest ways to close those gaps.

Mesh:

Year:  2009        PMID: 19136443     DOI: 10.1177/1524839908318803

Source DB:  PubMed          Journal:  Health Promot Pract        ISSN: 1524-8399


  3 in total

1.  Changing the paradigm: Using strategic communications to promote recognition of child sexual abuse as a preventable public health problem.

Authors:  Rebecca L Fix; Daniel S Busso; Tamar Mendelson; Elizabeth J Letourneau
Journal:  Child Abuse Negl       Date:  2021-04-09

2.  Can programme theory be used as a 'translational tool' to optimise health service delivery in a national early years' initiative in Scotland: a case study.

Authors:  Jennifer Eaves; Wendy Gnich
Journal:  BMC Health Serv Res       Date:  2013-10-20       Impact factor: 2.655

3.  The Prevalence of Sexual Violence among Female Refugees in Complex Humanitarian Emergencies: a Systematic Review and Meta-analysis.

Authors:  Alexander Vu; Atif Adam; Andrea Wirtz; Kiemanh Pham; Leonard Rubenstein; Nancy Glass; Chris Beyrer; Sonal Singh
Journal:  PLoS Curr       Date:  2014-03-18
  3 in total

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