Exploring Elder Financial Exploitation Victimization: Identifying Unique Risk Profiles and Factors to Enhance Detection, Prevention and Intervention, Texas 2009-2014 (ICPSR 36559)

Version Date: Feb 28, 2018 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
Carmel Dyer, UTHealth Science Center at Houston; Jason Burnett, UTHealth Science Center at Houston

https://doi.org/10.3886/ICPSR36559.v1

Version V1

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.

Dyer, Carmel, and Burnett, Jason. Exploring Elder Financial Exploitation Victimization: Identifying Unique Risk Profiles and Factors to Enhance Detection, Prevention and Intervention, Texas 2009-2014. Inter-university Consortium for Political and Social Research [distributor], 2018-02-28. https://doi.org/10.3886/ICPSR36559.v1

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United States Department of Justice. Office of Justice Programs. National Institute of Justice (2013-IJ-CX-0050)

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Access to these data is restricted. Users interested in obtaining these data must complete a Restricted Data Use Agreement, specify the reasons for the request, and obtain IRB approval or notice of exemption for their research.

Inter-university Consortium for Political and Social Research
2009 -- 2014
2009-01-01 -- 2014-12-31 (Perpetrator Dataset), 2009-01-01 -- 2014-12-31 (Victim Dataset)
  1. 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.

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

Longitudinal

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

Individual

U.S Census Data

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.

Not applicable

Client Assessment and Risk Evaluation (CARE) Tool

2018-02-28

Notes

  • 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.

  • The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.

  • One or more files in this data collection have special restrictions. Restricted data files are not available for direct download from the website; click on the Restricted Data button to learn more.

  • The citation of this study may have changed due to the new version control system that has been implemented.