Factors Associated with Older Adults' Intention to Use Community-based Elderly Care:a Study Using the Decision Tree and Logistic Regression Models
BackgroundCommunity-based elderly care may effectively contribute to the handling of serious elderly care challenges brought by an increasingly aging population in China.ObjectiveTo explore the factors associated with older adults' intention to choose community-based elderly care using the...
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Format: | Article |
Language: | zho |
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Chinese General Practice Publishing House Co., Ltd
2022-01-01
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Series: | Zhongguo quanke yixue |
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Online Access: | https://www.chinagp.net/fileup/1007-9572/PDF/1640772552574-122034713.pdf |
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author | YAN Rui, ZHAO Shoumei, ZHANG Xinxin, LYU Yumei |
author_facet | YAN Rui, ZHAO Shoumei, ZHANG Xinxin, LYU Yumei |
author_sort | YAN Rui, ZHAO Shoumei, ZHANG Xinxin, LYU Yumei |
collection | DOAJ |
description | BackgroundCommunity-based elderly care may effectively contribute to the handling of serious elderly care challenges brought by an increasingly aging population in China.ObjectiveTo explore the factors associated with older adults' intention to choose community-based elderly care using the decision tree and Logistic regression models.MethodsThis questionnaire survey was conducted in three communities selected from Daqing by convenient sampling from August to December 2020. 500 eligible community-dwelling older adults (≥60 years old) were selected as the research objects. The decision tree and Logistic regression models were used to explore factors associated with these older adults' intention to choose community-based elderly care via analyzing their demographics, self-rated physical and mental health, and family and social support collected by the survey.ResultsAltogether, 489 cases (97.8%) who effectively responded to the survey were included for analysis. The prevalence of intending to choose community-based elderly care in the respondents was 32.5% (159/489) . Logistic regression analysis revealed that the older adults' understanding level of community-based elderly care, views of elderly care, sense of loneliness, and intergenerational relationship had varying degrees of influence on their intention to choose community-based elderly care (P<0.05) . The decision tree analysis found that the older adults' understanding level of community-based elderly care, views of elderly care, sense of loneliness, social network, self-rated health, education level, and living status (alone or not) were key factors influencing their intention to choose community-based elderly care (P<0.05) . By both Logistic regression and decision tree analyses, understanding level of community-based elderly care, views of elderly care, and sense of loneliness were found to be three factors influencing older adults' intention to use community-based elderly care most. In exploring the factors associated with older adults' intention to choose community-based elderly care, Logistic regression analysis had an AUC of 0.985 (0.974, 0.996) with 94.34% sensitivity and 95.75% specificity, and decision tree analysis had an AUC of 0.980 (0.968, 0.992) with 88.05% sensitivity and 97.87% specificity, the performance of the two was similar (Z=-0.625, P=0.268) .ConclusionThe combination of decision tree and Logistic regression model has high application value in the study of influencing factors of community pension willingness of the elderly. The prevalence of intending to use community-based elderly care was relatively low in Daqing older adults. To improve this, it is suggested to take actions to change older adults' traditional views of elderly care, to better their physical and mental health and family relationships. |
first_indexed | 2024-04-24T12:00:20Z |
format | Article |
id | doaj.art-f1a41c546d2c40caa139a87d9b0cf4d1 |
institution | Directory Open Access Journal |
issn | 1007-9572 |
language | zho |
last_indexed | 2024-04-24T12:00:20Z |
publishDate | 2022-01-01 |
publisher | Chinese General Practice Publishing House Co., Ltd |
record_format | Article |
series | Zhongguo quanke yixue |
spelling | doaj.art-f1a41c546d2c40caa139a87d9b0cf4d12024-04-09T02:47:21ZzhoChinese General Practice Publishing House Co., LtdZhongguo quanke yixue1007-95722022-01-012501879310.12114/j.issn.1007-9572.2021.00.321Factors Associated with Older Adults' Intention to Use Community-based Elderly Care:a Study Using the Decision Tree and Logistic Regression ModelsYAN Rui, ZHAO Shoumei, ZHANG Xinxin, LYU Yumei0 1.School of Nursing,Harbin Medical University,Harbin 150081,China 2.Sarertu District Dongan Subdistrict Community Health Center,Daqing 163319,China *Corresponding author:LYU Yumei,Associate professor,Master supervisor;E-mail:438866749@qq.com BackgroundCommunity-based elderly care may effectively contribute to the handling of serious elderly care challenges brought by an increasingly aging population in China.ObjectiveTo explore the factors associated with older adults' intention to choose community-based elderly care using the decision tree and Logistic regression models.MethodsThis questionnaire survey was conducted in three communities selected from Daqing by convenient sampling from August to December 2020. 500 eligible community-dwelling older adults (≥60 years old) were selected as the research objects. The decision tree and Logistic regression models were used to explore factors associated with these older adults' intention to choose community-based elderly care via analyzing their demographics, self-rated physical and mental health, and family and social support collected by the survey.ResultsAltogether, 489 cases (97.8%) who effectively responded to the survey were included for analysis. The prevalence of intending to choose community-based elderly care in the respondents was 32.5% (159/489) . Logistic regression analysis revealed that the older adults' understanding level of community-based elderly care, views of elderly care, sense of loneliness, and intergenerational relationship had varying degrees of influence on their intention to choose community-based elderly care (P<0.05) . The decision tree analysis found that the older adults' understanding level of community-based elderly care, views of elderly care, sense of loneliness, social network, self-rated health, education level, and living status (alone or not) were key factors influencing their intention to choose community-based elderly care (P<0.05) . By both Logistic regression and decision tree analyses, understanding level of community-based elderly care, views of elderly care, and sense of loneliness were found to be three factors influencing older adults' intention to use community-based elderly care most. In exploring the factors associated with older adults' intention to choose community-based elderly care, Logistic regression analysis had an AUC of 0.985 (0.974, 0.996) with 94.34% sensitivity and 95.75% specificity, and decision tree analysis had an AUC of 0.980 (0.968, 0.992) with 88.05% sensitivity and 97.87% specificity, the performance of the two was similar (Z=-0.625, P=0.268) .ConclusionThe combination of decision tree and Logistic regression model has high application value in the study of influencing factors of community pension willingness of the elderly. The prevalence of intending to use community-based elderly care was relatively low in Daqing older adults. To improve this, it is suggested to take actions to change older adults' traditional views of elderly care, to better their physical and mental health and family relationships.https://www.chinagp.net/fileup/1007-9572/PDF/1640772552574-122034713.pdf|health services for the aged|community health services|community endowment|decision tree|logistic regression|root cause analysis |
spellingShingle | YAN Rui, ZHAO Shoumei, ZHANG Xinxin, LYU Yumei Factors Associated with Older Adults' Intention to Use Community-based Elderly Care:a Study Using the Decision Tree and Logistic Regression Models Zhongguo quanke yixue |health services for the aged|community health services|community endowment|decision tree|logistic regression|root cause analysis |
title | Factors Associated with Older Adults'
Intention to Use Community-based Elderly Care:a Study Using the
Decision Tree and Logistic Regression Models |
title_full | Factors Associated with Older Adults'
Intention to Use Community-based Elderly Care:a Study Using the
Decision Tree and Logistic Regression Models |
title_fullStr | Factors Associated with Older Adults'
Intention to Use Community-based Elderly Care:a Study Using the
Decision Tree and Logistic Regression Models |
title_full_unstemmed | Factors Associated with Older Adults'
Intention to Use Community-based Elderly Care:a Study Using the
Decision Tree and Logistic Regression Models |
title_short | Factors Associated with Older Adults'
Intention to Use Community-based Elderly Care:a Study Using the
Decision Tree and Logistic Regression Models |
title_sort | factors associated with older adults intention to use community based elderly care a study using the decision tree and logistic regression models |
topic | |health services for the aged|community health services|community endowment|decision tree|logistic regression|root cause analysis |
url | https://www.chinagp.net/fileup/1007-9572/PDF/1640772552574-122034713.pdf |
work_keys_str_mv | AT yanruizhaoshoumeizhangxinxinlyuyumei factorsassociatedwitholderadultsintentiontousecommunitybasedelderlycareastudyusingthedecisiontreeandlogisticregressionmodels |