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We will perform a rapid scanning of the literature using five approaches: (1) review of relevant international guidelines; (2) review of relevant local guidelines; (3) review of relevant previous studies; (4) review of relevant published and unpublished studies that are currently in process; and (5) review of relevant published and unpublished national and local survey results. We will synthesize findings from the literature reviews, our ongoing literature reviews, and our own literature searches. To best synthesize the literature, we will use a systematic process and employ a well-developed and effective project database. At the project end we will prepare a comprehensive document summarizing the results of this work. In addition, we will provide a full report of the results to the participating community. The final product of this research project will be a rapid content analysis of IPV screening in VAMCs. It will include both IPV screening and referral practices and adaptations for IPV screening implementation. This will be the first comprehensive content analysis of the literature on IPV screening and response. It will take advantage of a hybrid deductive and inductive analytical approach to glean new insights. Through the use of a matrix analysis approach, we will rapidly develop a profile of barriers to and facilitators of screening and referral practices. The matrix and matrix analysis approach will be invaluable tools for describing barriers and facilitators of implementation and sustainability. The project will make a significant contribution to the existing literature on implementation and sustainability of IPV screening. In addition, the project will provide an innovative approach to help reduce the time and cost of research. The application of an inductive analytic approach will allow us to determine the meaning of the data for the respondents and to reveal underlying factors that were not anticipated. The use of a hybrid deductive-inductive approach will allow us to triangulate the literature with our data and to develop new themes.
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