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The Resource Exploring elder financial exploitation victimization : identifying unique risk profiles and factors to enhance detection, prevention and intervention, Jason Burnett [and three others]

Exploring elder financial exploitation victimization : identifying unique risk profiles and factors to enhance detection, prevention and intervention, Jason Burnett [and three others]

Creator
Author
Contributor
Summary
Statement of Purpose: Explore risk factors across the socioecological framework (i.e. individual, perpetrator and community-levels) to identify the most important factors that differentiate elder financial exploitation (FE) from other forms of abuse as well as pure FE from hybrid FE. Description of Research Subjects: Older adults 65 years and older with a confirmed case of abuse (i.e. financial exploitation, caregiver neglect, physical abuse, emotional abuse) by Texas Adult Protective Services between the years 2009-2014. Methods: Secondary data analysis of a 5-year statewide aggregated cohort of Texas Adult Protective Services confirmed cases of abuse between the years 2009-2014. Case investigation data such as demographics, reported and confirmed abuse types, victim and perpetrator mental and physical health, substance use, social and financial factors along with community-level data (Geographic Information Systems) were analyzed.^Supervised Learning, which provides a step-by-step statistical decision-making process was used to identify the most reliable, interpretive and predictive risk factor models. Training and test sampling was included for replication purposes. Results: Financially-based variables are the best predictors of FE versus other forms of abuse, but apparent injury appears to be the most important indicator of other forms of abuse even in the presence of FE. Hybrid FE may be strongly related to poorer outcomes compared to pure FE however, the most predictive model found negative effects of others, alcohol and substance use by others as well as foreclosure and inadequate medical supplies to be the most important predictors of hybrid FE. Models that accounted for less linearity between the variables resulted in greater accuracy in group classification indicating the need to account for complex interactions across the socioecological context.^Conclusion: Different factors across the socioecological context are needed to reliably differentiate between elder FE and other forms of abuse as well as pure versus hybrid FE. These factors will also vary depending on the perspective one takes regarding the linearity of the interactions between the different factors. The findings provide support for the need to differentiate between types of abuse and subtypes of elder FE and the need for frontline workers and social service agencies and researchers to account for variables across the socioecological context when developing surveillance, intervention and prevention programs
Language
eng
Work
Publication
Extent
1 online resource ([65] pages)
Note
  • "Document Number: 250756" -- Grant transmittal document
  • "Date Received: May 2017" -- Grant transmittal document
  • CRDP Program record
Link
http://purl.fdlp.gov/GPO/gpo81669
Instance
Label
Exploring elder financial exploitation victimization : identifying unique risk profiles and factors to enhance detection, prevention and intervention
Title
Exploring elder financial exploitation victimization
Title remainder
identifying unique risk profiles and factors to enhance detection, prevention and intervention
Statement of responsibility
Jason Burnett [and three others]
Title variation
National Institute of Justice final technical report
Creator
Contributor
Author
Issuing body
Subject
Genre
Language
eng
Summary
Statement of Purpose: Explore risk factors across the socioecological framework (i.e. individual, perpetrator and community-levels) to identify the most important factors that differentiate elder financial exploitation (FE) from other forms of abuse as well as pure FE from hybrid FE. Description of Research Subjects: Older adults 65 years and older with a confirmed case of abuse (i.e. financial exploitation, caregiver neglect, physical abuse, emotional abuse) by Texas Adult Protective Services between the years 2009-2014. Methods: Secondary data analysis of a 5-year statewide aggregated cohort of Texas Adult Protective Services confirmed cases of abuse between the years 2009-2014. Case investigation data such as demographics, reported and confirmed abuse types, victim and perpetrator mental and physical health, substance use, social and financial factors along with community-level data (Geographic Information Systems) were analyzed.^Supervised Learning, which provides a step-by-step statistical decision-making process was used to identify the most reliable, interpretive and predictive risk factor models. Training and test sampling was included for replication purposes. Results: Financially-based variables are the best predictors of FE versus other forms of abuse, but apparent injury appears to be the most important indicator of other forms of abuse even in the presence of FE. Hybrid FE may be strongly related to poorer outcomes compared to pure FE however, the most predictive model found negative effects of others, alcohol and substance use by others as well as foreclosure and inadequate medical supplies to be the most important predictors of hybrid FE. Models that accounted for less linearity between the variables resulted in greater accuracy in group classification indicating the need to account for complex interactions across the socioecological context.^Conclusion: Different factors across the socioecological context are needed to reliably differentiate between elder FE and other forms of abuse as well as pure versus hybrid FE. These factors will also vary depending on the perspective one takes regarding the linearity of the interactions between the different factors. The findings provide support for the need to differentiate between types of abuse and subtypes of elder FE and the need for frontline workers and social service agencies and researchers to account for variables across the socioecological context when developing surveillance, intervention and prevention programs
Cataloging source
ZCY
http://library.link/vocab/creatorName
Burnett, Jason
Government publication
federal national government publication
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • technical reports
http://library.link/vocab/relatedWorkOrContributorName
National Criminal Justice Reference Service (U.S.)
http://library.link/vocab/subjectName
  • Older people
  • Older people
  • Swindlers and swindling
  • Abused elderly
  • Fraud
Label
Exploring elder financial exploitation victimization : identifying unique risk profiles and factors to enhance detection, prevention and intervention, Jason Burnett [and three others]
Link
http://purl.fdlp.gov/GPO/gpo81669
Instantiates
Publication
Note
  • "Document Number: 250756" -- Grant transmittal document
  • "Date Received: May 2017" -- Grant transmittal document
  • CRDP Program record
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Control code
ocn990778556
Dimensions
unknown
Extent
1 online resource ([65] pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Specific material designation
remote
Label
Exploring elder financial exploitation victimization : identifying unique risk profiles and factors to enhance detection, prevention and intervention, Jason Burnett [and three others]
Link
http://purl.fdlp.gov/GPO/gpo81669
Publication
Note
  • "Document Number: 250756" -- Grant transmittal document
  • "Date Received: May 2017" -- Grant transmittal document
  • CRDP Program record
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Control code
ocn990778556
Dimensions
unknown
Extent
1 online resource ([65] pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Specific material designation
remote

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