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Digital health screening tool for identification of elder mistreatment
Author(s) -
Fuad Abujarad,
Chelsea Edwards,
Esther K. Choo,
Michael V. Pantalon,
Karen Jubanyik,
James Dziura,
Gail D’Onofrio,
Thomas M Gill
Publication year - 2020
Publication title -
gerontechnology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 17
eISSN - 1569-111X
pISSN - 1569-1101
DOI - 10.4017/gt.2020.19.s.70138
Subject(s) - coaching , elder abuse , focus group , interview , identification (biology) , medicine , psychology , human factors and ergonomics , nursing , poison control , medical emergency , botany , marketing , political science , law , business , psychotherapist , biology
It is estimated that 15.7% of people aged 60 years and older were subjected to some form of Elder Mistreatment (EM) globally (Yon et al., 2017). In the USA, as many as 1 in 24 EM cases are left unidentified by professionals, with a 300% increased mortality risk for older adults who do not receive help (National Center on Elder Abuse, n.d.; Dong, 2009). Current methods of screening tend to miss less obvious signs of EM and may discourage older adults from disclosing EM, due to either a lack of understanding of what constitutes mistreatment or fear of retaliation from the perpetrator.

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