DOI: 10.3886/icpsr36559
title: Exploring Elder Financial Exploitation Victimization: Identifying Unique Risk Profiles and Factors to Enhance Detection, Prevention and Intervention, Texas 2009-2014
title: Archival Version

description: These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.
This study explores the victim level, perpetrator level and community level variables associated with Adult Protective Services Substantiated Financial Exploitation in Older Adults. The aims of the study were to identify factors that differentiate financial exploitation from other forms of elder abuse as well as differentiate pure financial exploitation from hybrid financial exploitation.
description: 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.
description: 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.
description: 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.;
description: Presence of Common Scales: 
					Client Assessment and Risk Evaluation (CARE) Tool
description: Response Rates: 
					Not applicable
description: Datasets: 
					
						DS1: Dataset
description: record abstracts
description: coded on-site observation
description: face-to-face interview
description: 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
				   		Smallest Geographic Unit: County
description: 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