The overall purpose of this research is to understand factors that place older adults at greater risk for financial exploitation and the interactions between individual victims, perpetrator and community-level risk factors that may work synergistically to increase the risk of elder financial exploitation.
This research seeks to identify risk and protective factors for elder financial exploitation at the individual and community-levels, use well-established social and behavioral sciences methodological approaches to identify underlying types of elder financial exploitation and risk factor profiles for victims and perpetrators, and investigate the presence of sociocultural/community-level influences for elder financial exploitation and its potentially different forms.
This study utilizes a five-year statewide aggregated cohort of Texas Adult Protective Services reported and substantiated cases to build risk factor profiles using victim level, perpetrator level and geographic level data. The primary analytic strategy used for differentiating pure and hybrid financial exploitation was Supervised Learning, which provides a step-by-step statistical decision-making process that results in a more reliable set of risk factors. Hold-out sampling is included for replication purposes. Geographic information systems (GIS) were used to develop the geographic level data.
The data used to conduct this secondary analysis were obtained from the Texas Department of Family and Protective Services, Division of Adult Protective Services (APS). The data provided by APS for the current study represent Texas statewide confirmed and unconfirmed cases of elder abuse within the years of 2009 - 2014. Only records for adults 65 years and older were included. The confirmed and unconfirmed abuse types included financial exploitation, physical abuse, psychological abuse, physical self-neglect, medical self-neglect, mental health self-neglect and caregiver neglect. Caregiver neglect (n=266085) consisted of any of the physical, medical and mental health neglects where a perpetrator (n=367244), other than the victim, was identified and confirmed. Unconfirmed cases were identified as those in which APS received a referral, but was unable to find sufficient evidence to support the allegation
Perpetrators 18 years and older and victims 65 years and older involved in Texas Adult Protective Services' confirmed and unconfirmed cases of elder abuse from 2009 through 2014
The research collected information from multiple sources and produced the following two datasets:
- perp_info.dat (54 variables, n=367244): The variables include victim characteristics, community information(victim address based), per victim perpetrator info summary, per victim abuse summary.
- victim_info.dat (207 variables, n=266805): The variables include perpetrator characteristics and abuse type indicators.
Client Assessment and Risk Evaluation (CARE) Tool