Adapting the Elder Abuse Suspicion Index© for Use in Long-Term Care: A Mixed-Methods Approach
Autor: | Stephanie A. Ballard, Linda August, Mark J. Yaffe, Deniz Cetin-Sahin, Machelle Wilchesky |
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Rok vydání: | 2017 |
Předmět: |
Male
medicine.medical_specialty Canada media_common.quotation_subject Elder Abuse Neglect 03 medical and health sciences 0302 clinical medicine Nursing medicine Homes for the Aged Humans 030212 general & internal medicine Psychiatry Cognitive impairment Psychological abuse Geriatric Assessment media_common Aged Aged 80 and over 030214 geriatrics business.industry Elder abuse Focus Groups Mental Status and Dementia Tests Focus group Long-Term Care Nursing Homes Long-term care Cross-Sectional Studies Ambulatory Female Geriatrics and Gerontology business Nursing homes Gerontology |
Zdroj: | Journal of applied gerontology : the official journal of the Southern Gerontological Society. 38(10) |
ISSN: | 1552-4523 |
Popis: | Currently available elder abuse screening and identification tools have limitations for use in long-term care (LTC). This mixed-methods study sought to explore the appropriateness of using the Elder Abuse Suspicion Index© (a suspicion tool originally created for use with older adults in the ambulatory setting with Mini-Mental State Examination scores ≥ 24) with similarly cognitively functioning persons residing in LTC. Results were informed by a literature review, Internet-based consultations with elder abuse experts across Canada ( n = 19), and data obtained from two purposively selected focus groups ( n = 7 local elder abuse experts; n = 7 experienced front-line LTC clinicians). Analyses resulted in the development of a nine-question tool, the EASI-ltc, designed to raise suspicion of EA in cognitively intact older adults residing in LTC (with little or no cognitive impairment). Notable modifications to the original Elder Abuse Suspicion Index© (EASI) included three new questions to further address neglect and psychological abuse, and a context-specific preamble to orient responders. |
Databáze: | OpenAIRE |
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