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                            Funding & Awards
 Elder Financial Exploitation Victimization: Indentifying Unique Risk Profiles and Factors to Enhance Detection, Prevention and Intervention
Award Information
Awardee
              The University of Texas Health Science Center at Houston
Award #
              2013-IJ-CX-0050
Funding Category
              Competitive
Location
                    Houston, TX
Awardee County
              Harris
Congressional District
              9
Status
              Closed
Funding First Awarded
              2013
Total funding (to date)
              $387,736
Original Solicitation
              NIJ FY 13 Research and Evaluation on the Abuse, Neglect and Exploitation of Elderly Individuls and Residents of Residential Care Facilities
Description of original award (Fiscal Year 2013, $387,736)
This study seeks to build on and advance previous studies which have identified multiple forms of elder financial exploitation associated with specific risk factors. The objectives are to identify victim, perpetrator and community-level and sociocultural risk factors for elder financial exploitation in order to inform the development of targeted public service announcements as well as to enhance law enforcement prevention efforts. This study will consist of a secondary data analysis of the Texas Adult Protective Services (APS) statewide database. These data will include in-depth investigation reports for 878 substantiated cases of elder financial exploitation in adults 65 years of age and older between 2004 and 2012. Data from the recently validated Texas APS Client Assessment and Risk Evaluation (CARE) tool will provide systematic and reliable data regarding the victim's social, mental health, physical, environmental and financial conditions. Perpetrator, community-level and sociocultural factors will also be assessed for relevance to victimization risks. Bayesian model averaging, which provides the most accurate set of risk factors when using predictive models, will be used to determine the best set of risk factors. Individual level risk factors for victims and perpetrators will be drawn from the CARE tool and APS archived data. Community level risk factors for elder financial exploitation, such as crime rates, poverty levels, racial heterogeneity, vacant homes and others will be identified using Geographic Information Systems. Latent profile analysis, a method commonly used in social sciences, including criminal justice, will be used to identify distinct types of elder financial exploitation based on unique combinations and patterns of the ascertained risk factors.ca/ncf



  
Grant-Funded Publications
        
                      Socioecological indicators of senior financial exploitation: an application of data science to 8,800 substantiated mistreatment cases
                  Computers Learn To Detect Financial Abuse of the Elderly
                  Exploring Elder Financial Exploitation Victimization: Identifying Unique Risk Profiles and Factors To Enhance Detection, Prevention and Intervention

  
Date Created: September 12, 2013
    
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