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Preventing elder maltreatment: Identification of high risk factors from LTC administrative data

Elder maltreatment is a serious problem endangering physical, emotional, and material well-being of older persons, especially those with physical and cognitive impairment. However, detecting the incident of elder maltreatment is difficult and its prevalence has been seriously underestimated. This st...

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Autores principales: Chao, Shiau-Fang, Hsiang, Chen-Wei, Chen, Kuan-Ming, Chen, Ya-Mei, Hsieh, Ji-Lung, Chou, Yu-Hsuan, Lin, Ming-Jen, Wu, Shih-Cyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8682650/
http://dx.doi.org/10.1093/geroni/igab046.3522
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author Chao, Shiau-Fang
Hsiang, Chen-Wei
Chen, Kuan-Ming
Chen, Ya-Mei
Hsieh, Ji-Lung
Chou, Yu-Hsuan
Lin, Ming-Jen
Wu, Shih-Cyuan
author_facet Chao, Shiau-Fang
Hsiang, Chen-Wei
Chen, Kuan-Ming
Chen, Ya-Mei
Hsieh, Ji-Lung
Chou, Yu-Hsuan
Lin, Ming-Jen
Wu, Shih-Cyuan
author_sort Chao, Shiau-Fang
collection PubMed
description Elder maltreatment is a serious problem endangering physical, emotional, and material well-being of older persons, especially those with physical and cognitive impairment. However, detecting the incident of elder maltreatment is difficult and its prevalence has been seriously underestimated. This study explores how LTC use relates to elder maltreatment report, using government LTC service records in Taiwan. A total of 88,633 reported cases in adult protection system in 2019 were merged with 443,952 valid cases in LTC service system. Descriptive statistics were firstly performed to examine the proportion and characteristics of repeated cases in both systems. Linear probability modeling was then used for analyses. 1. In 2019, 3,413 elder maltreatment clients can be identified in LTC service system, accounting for 27.3% of the elder maltreatment cases. 2. Older persons who used LTC service first and being reported as elder maltreatment cases later had a higher prevalence of being discovered by social workers and care attendants. 3. These group of clients also had higher proportion of being reported as neglected by others, abandonment, and self-neglected. 4. Characteristics in LTC service system, such as being older, low severity of disability, high cognitive impairments, low income status, and with a LTC service use record, were related to high probability of being detected with elder maltreatment problems. Characteristics in LTC service system could be effective indicators in discovering potentially abusive situations of disabled older persons. Training and education are essential for LTC service providers to enhance their literacy and ability of assessing elder maltreatment.
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spelling pubmed-86826502021-12-20 Preventing elder maltreatment: Identification of high risk factors from LTC administrative data Chao, Shiau-Fang Hsiang, Chen-Wei Chen, Kuan-Ming Chen, Ya-Mei Hsieh, Ji-Lung Chou, Yu-Hsuan Lin, Ming-Jen Wu, Shih-Cyuan Innov Aging Abstracts Elder maltreatment is a serious problem endangering physical, emotional, and material well-being of older persons, especially those with physical and cognitive impairment. However, detecting the incident of elder maltreatment is difficult and its prevalence has been seriously underestimated. This study explores how LTC use relates to elder maltreatment report, using government LTC service records in Taiwan. A total of 88,633 reported cases in adult protection system in 2019 were merged with 443,952 valid cases in LTC service system. Descriptive statistics were firstly performed to examine the proportion and characteristics of repeated cases in both systems. Linear probability modeling was then used for analyses. 1. In 2019, 3,413 elder maltreatment clients can be identified in LTC service system, accounting for 27.3% of the elder maltreatment cases. 2. Older persons who used LTC service first and being reported as elder maltreatment cases later had a higher prevalence of being discovered by social workers and care attendants. 3. These group of clients also had higher proportion of being reported as neglected by others, abandonment, and self-neglected. 4. Characteristics in LTC service system, such as being older, low severity of disability, high cognitive impairments, low income status, and with a LTC service use record, were related to high probability of being detected with elder maltreatment problems. Characteristics in LTC service system could be effective indicators in discovering potentially abusive situations of disabled older persons. Training and education are essential for LTC service providers to enhance their literacy and ability of assessing elder maltreatment. Oxford University Press 2021-12-17 /pmc/articles/PMC8682650/ http://dx.doi.org/10.1093/geroni/igab046.3522 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Chao, Shiau-Fang
Hsiang, Chen-Wei
Chen, Kuan-Ming
Chen, Ya-Mei
Hsieh, Ji-Lung
Chou, Yu-Hsuan
Lin, Ming-Jen
Wu, Shih-Cyuan
Preventing elder maltreatment: Identification of high risk factors from LTC administrative data
title Preventing elder maltreatment: Identification of high risk factors from LTC administrative data
title_full Preventing elder maltreatment: Identification of high risk factors from LTC administrative data
title_fullStr Preventing elder maltreatment: Identification of high risk factors from LTC administrative data
title_full_unstemmed Preventing elder maltreatment: Identification of high risk factors from LTC administrative data
title_short Preventing elder maltreatment: Identification of high risk factors from LTC administrative data
title_sort preventing elder maltreatment: identification of high risk factors from ltc administrative data
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8682650/
http://dx.doi.org/10.1093/geroni/igab046.3522
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