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Record W4405981073 · doi:10.1093/geroni/igae098.2065

BARRIERS AND FACILITATORS TO HELP-SEEKING FOR ELDER ABUSE: A QUALITATIVE STUDY FROM THE PERSPECTIVE OF VICTIMS

2024· article· en· W4405981073 on OpenAlexaff
Andie MacNeil, Jessica Hsieh, Isabel Rollandi, Jo Anne Sirey, Mark S. Lachs, David Burnes

Bibliographic record

VenueInnovation in Aging · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPerspective (graphical)Qualitative researchElder abusePsychologyMedicineMedical emergencySociologySuicide preventionPoison controlComputer science

Abstract

fetched live from OpenAlex

Abstract Understanding help-seeking among victims of elder abuse (EA) is a major challenge and significant knowledge gap in the field. The vast majority of EA victims are not connected with formal response systems, such as Adult Protective Services, law enforcement, and other agencies responsible for addressing this issue in the community. The current study sought to understand barriers and facilitators to help-seeking from the perspective of EA victims. Using a descriptive phenomenological approach, this study conducted in-depth, individual, qualitative interviews with a diverse sample (n = 32) of EA victims living in New York City and Los Angeles, United States. Analysis followed a constant comparison process involving two independent coders of verbatim transcripts. Major themes that emerged as barriers to help-seeking included: embarrassment or shame, self-blame or guilt, fear of perpetrator retaliation, fear of what could happen to perpetrator, concern for family preservation, and lack of awareness of services. Facilitators in the process of help-seeking included: reaching a “tipping point”, concern for self-preservation, accessibility and convenience of services, and having knowledge about where and how to seek support. These findings emphasize that barriers and facilitators to help-seeking span various levels of ecological influence, including the individual victim, the individual perpetrator, the victim-perpetrator relationship, and the family system. To promote greater help-seeking among EA victims, there must be accessible interventions that help address the complex and interrelated psychological, emotional, relational, and familial factors that impact help-seeking behavior among EA victims.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.405
Teacher spread0.369 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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