Perceived Types, Causes, and Consequences of Financial Exploitation: Narratives From Older Adults

J Gerontol B Psychol Sci Soc Sci. 2021 Apr 23;76(5):996-1004. doi: 10.1093/geronb/gbab010.

Abstract

Objectives: The goal of this study was to investigate the perception of financial exploitation and its causes and consequences by older adults who have firsthand experience of being exploited.

Method: Thirty-one cognitively healthy older adult participants aged 50 or older were drawn from the Finance, Cognition, and Health in Elders Study. In-depth, one-on-one interviews were conducted. Interview transcripts were analyzed using an iterative, data-driven, thematic coding scheme and emergent themes were summarized.

Results: Categories of financial exploitation included (a) investment fraud, (b) wage theft/money owed, (c) consumer fraud, (d) imposter schemes, and (e) manipulation by a trusted person. Themes emerged around perceived causes: (a) element of trust, (b) promise of financial security, (c) lack of experience or awareness, (d) decision-making, and (e) interpersonal dynamics. Perceived consequences included negative and positive impacts around (a) finances, (b) financial/consumer behaviors (c) relationships and trust, (d) emotional impact, and (e) future outlook.

Discussion: These narratives provide important insights into perceived financial exploitation experiences.

Keywords: Elder abuse; Financial fraud; Interviews.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Crime Victims / economics
  • Crime Victims / legislation & jurisprudence
  • Crime Victims / statistics & numerical data*
  • Elder Abuse / economics
  • Elder Abuse / legislation & jurisprudence
  • Elder Abuse / statistics & numerical data*
  • Fraud / legislation & jurisprudence
  • Fraud / statistics & numerical data*
  • Humans
  • Male
  • Risk Factors
  • Socioeconomic Factors
  • Theft / economics
  • Theft / legislation & jurisprudence
  • Theft / statistics & numerical data*
  • United States