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Applying Apriori algorithm to explore long-term care services usage status—Variables based on the combination of patients with dementia and their caregivers

PURPOSE: The aim of this study was to identify the combination of patients with dementia and their caregivers' characteristics associated with long-term care (LTC) services usage. PATIENTS AND METHODS: A cross-sectional study was conducted with 475 patients with mild, moderate, and severe demen...

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Autores principales: Chen, Yen-Jen, Jhang, Kai-Ming, Wang, Wen-Fu, Lin, Guan-Cheng, Yen, Shao-Wei, Wu, Hsin-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792981/
https://www.ncbi.nlm.nih.gov/pubmed/36582325
http://dx.doi.org/10.3389/fpsyg.2022.1022860
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author Chen, Yen-Jen
Jhang, Kai-Ming
Wang, Wen-Fu
Lin, Guan-Cheng
Yen, Shao-Wei
Wu, Hsin-Hung
author_facet Chen, Yen-Jen
Jhang, Kai-Ming
Wang, Wen-Fu
Lin, Guan-Cheng
Yen, Shao-Wei
Wu, Hsin-Hung
author_sort Chen, Yen-Jen
collection PubMed
description PURPOSE: The aim of this study was to identify the combination of patients with dementia and their caregivers' characteristics associated with long-term care (LTC) services usage. PATIENTS AND METHODS: A cross-sectional study was conducted with 475 patients with mild, moderate, and severe dementia at Changhua Christian Hospital, Taiwan. Eleven types of variables from patients with dementia, nine types of variables from patients' caregivers, and 15 types of LTC services were used for this study. The Apriori algorithm was employed to identify the attributes from the patients and their caregivers who used a particular LTC service from a comprehensive viewpoint. RESULTS: A total of 75 rules were generated by the Apriori algorithm with support of 2%, confidence of 80%, and lift >1. Among these rules, 25 rules belonged to home personal care services which were summarized further into four general rules for home personal care services. On the other hand, 50 rules belonged to assistive devices that were summarized further into 21 general rules based on their similarities. Patient's walking ability, patient's emotional liability, unemployed or retired caregivers, caregivers' feelings with either helplessness or hopelessness, and caregivers who cared for patients with dementia solely were found to be the critical variables to use home personal care services. In contrast, patient's walking ability, age, and severity as well as caregivers' age, mood, marital status, caregiving burden, and the patient being cared for mainly by a foreign care helper were found to be the critical variables to use assistive devices. CONCLUSION: This study showed preliminary results on the LTC service usage from patients with dementia and their caregivers residing in the community. Understanding the patient–caregiver dyad's profile leads the service providers, policymakers, and the referral team to tailor service provisions better to meet the needs and identify the potential target groups. The findings in this study serve as references to reduce caregivers' burden as well as to improve the quality of care for patients with dementia.
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spelling pubmed-97929812022-12-28 Applying Apriori algorithm to explore long-term care services usage status—Variables based on the combination of patients with dementia and their caregivers Chen, Yen-Jen Jhang, Kai-Ming Wang, Wen-Fu Lin, Guan-Cheng Yen, Shao-Wei Wu, Hsin-Hung Front Psychol Psychology PURPOSE: The aim of this study was to identify the combination of patients with dementia and their caregivers' characteristics associated with long-term care (LTC) services usage. PATIENTS AND METHODS: A cross-sectional study was conducted with 475 patients with mild, moderate, and severe dementia at Changhua Christian Hospital, Taiwan. Eleven types of variables from patients with dementia, nine types of variables from patients' caregivers, and 15 types of LTC services were used for this study. The Apriori algorithm was employed to identify the attributes from the patients and their caregivers who used a particular LTC service from a comprehensive viewpoint. RESULTS: A total of 75 rules were generated by the Apriori algorithm with support of 2%, confidence of 80%, and lift >1. Among these rules, 25 rules belonged to home personal care services which were summarized further into four general rules for home personal care services. On the other hand, 50 rules belonged to assistive devices that were summarized further into 21 general rules based on their similarities. Patient's walking ability, patient's emotional liability, unemployed or retired caregivers, caregivers' feelings with either helplessness or hopelessness, and caregivers who cared for patients with dementia solely were found to be the critical variables to use home personal care services. In contrast, patient's walking ability, age, and severity as well as caregivers' age, mood, marital status, caregiving burden, and the patient being cared for mainly by a foreign care helper were found to be the critical variables to use assistive devices. CONCLUSION: This study showed preliminary results on the LTC service usage from patients with dementia and their caregivers residing in the community. Understanding the patient–caregiver dyad's profile leads the service providers, policymakers, and the referral team to tailor service provisions better to meet the needs and identify the potential target groups. The findings in this study serve as references to reduce caregivers' burden as well as to improve the quality of care for patients with dementia. Frontiers Media S.A. 2022-12-13 /pmc/articles/PMC9792981/ /pubmed/36582325 http://dx.doi.org/10.3389/fpsyg.2022.1022860 Text en Copyright © 2022 Chen, Jhang, Wang, Lin, Yen and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Chen, Yen-Jen
Jhang, Kai-Ming
Wang, Wen-Fu
Lin, Guan-Cheng
Yen, Shao-Wei
Wu, Hsin-Hung
Applying Apriori algorithm to explore long-term care services usage status—Variables based on the combination of patients with dementia and their caregivers
title Applying Apriori algorithm to explore long-term care services usage status—Variables based on the combination of patients with dementia and their caregivers
title_full Applying Apriori algorithm to explore long-term care services usage status—Variables based on the combination of patients with dementia and their caregivers
title_fullStr Applying Apriori algorithm to explore long-term care services usage status—Variables based on the combination of patients with dementia and their caregivers
title_full_unstemmed Applying Apriori algorithm to explore long-term care services usage status—Variables based on the combination of patients with dementia and their caregivers
title_short Applying Apriori algorithm to explore long-term care services usage status—Variables based on the combination of patients with dementia and their caregivers
title_sort applying apriori algorithm to explore long-term care services usage status—variables based on the combination of patients with dementia and their caregivers
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792981/
https://www.ncbi.nlm.nih.gov/pubmed/36582325
http://dx.doi.org/10.3389/fpsyg.2022.1022860
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