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The willingness and influencing factors to choose smart senior care among old adults in China

BACKGROUND: Population aging has become an escalating issue in China resulting in increasing healthcare demand. Smart senior care has the potential to help older adults live independently and relieve the pressure of healthcare including home-based care. This study aimed to explore Chinese older adul...

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Autores principales: Huang, Qiyuan, Li, Ying, Wu, Xiang, Ge, Song, Qu, Zhe, Wang, Aming, Tang, Xianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750727/
https://www.ncbi.nlm.nih.gov/pubmed/36517739
http://dx.doi.org/10.1186/s12877-022-03691-3
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author Huang, Qiyuan
Li, Ying
Wu, Xiang
Ge, Song
Qu, Zhe
Wang, Aming
Tang, Xianping
author_facet Huang, Qiyuan
Li, Ying
Wu, Xiang
Ge, Song
Qu, Zhe
Wang, Aming
Tang, Xianping
author_sort Huang, Qiyuan
collection PubMed
description BACKGROUND: Population aging has become an escalating issue in China resulting in increasing healthcare demand. Smart senior care has the potential to help older adults live independently and relieve the pressure of healthcare including home-based care. This study aimed to explore Chinese older adults’ preferred access models and service content of smart senior care and factors affecting their willingness to choose smart senior care. METHODS: This was a cross-sectional study. A total of 760 community-dwelling older adults from Xuzhou, China were included in this study. Their demographics, family support, health status, smart senior care use, and willingness to choose smart senior care were collected. The Chi-square test was used for single factor analysis of each variable. The statistically significant variables were included in the logistics regression model to analyze factors influencing older adults’ willingness to choose smart senior care. The chi-square goodness of fit test was used to analyze the preferred content and access models of smart senior care; the Bonferroni method was used to correct the results. RESULTS: The finding indicated that participants’ age, number of children, frequency of children visiting parents, adequate senior care, self-reported health, chronic diseases, smartphone use, and attitude toward smart senior care were significantly associated with their willingness to choose the smart senior care (p < 0.05). For smart senior care access models, participants preferred the remote monitoring model, telephone call model, and the community site model over the health smart home model and the smart application platform model. There was no statistical difference among these three preferred access models (p’ > 0.005). Regarding service content, participants desired medical care service the most (p’ < 0.005). CONCLUSIONS: Chinese older adults’ willingness to choose smart senior care is affected by personal, family, health, and other factors. To develop China’s senior care, we should consider their demand and preference for smart senior care. It is important to enrich the content of smart senior care, especially on medical care services, and maintain the dynamic balance between supply and demand using a diverse supply approach. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03691-3.
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spelling pubmed-97507272022-12-15 The willingness and influencing factors to choose smart senior care among old adults in China Huang, Qiyuan Li, Ying Wu, Xiang Ge, Song Qu, Zhe Wang, Aming Tang, Xianping BMC Geriatr Research BACKGROUND: Population aging has become an escalating issue in China resulting in increasing healthcare demand. Smart senior care has the potential to help older adults live independently and relieve the pressure of healthcare including home-based care. This study aimed to explore Chinese older adults’ preferred access models and service content of smart senior care and factors affecting their willingness to choose smart senior care. METHODS: This was a cross-sectional study. A total of 760 community-dwelling older adults from Xuzhou, China were included in this study. Their demographics, family support, health status, smart senior care use, and willingness to choose smart senior care were collected. The Chi-square test was used for single factor analysis of each variable. The statistically significant variables were included in the logistics regression model to analyze factors influencing older adults’ willingness to choose smart senior care. The chi-square goodness of fit test was used to analyze the preferred content and access models of smart senior care; the Bonferroni method was used to correct the results. RESULTS: The finding indicated that participants’ age, number of children, frequency of children visiting parents, adequate senior care, self-reported health, chronic diseases, smartphone use, and attitude toward smart senior care were significantly associated with their willingness to choose the smart senior care (p < 0.05). For smart senior care access models, participants preferred the remote monitoring model, telephone call model, and the community site model over the health smart home model and the smart application platform model. There was no statistical difference among these three preferred access models (p’ > 0.005). Regarding service content, participants desired medical care service the most (p’ < 0.005). CONCLUSIONS: Chinese older adults’ willingness to choose smart senior care is affected by personal, family, health, and other factors. To develop China’s senior care, we should consider their demand and preference for smart senior care. It is important to enrich the content of smart senior care, especially on medical care services, and maintain the dynamic balance between supply and demand using a diverse supply approach. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03691-3. BioMed Central 2022-12-14 /pmc/articles/PMC9750727/ /pubmed/36517739 http://dx.doi.org/10.1186/s12877-022-03691-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Huang, Qiyuan
Li, Ying
Wu, Xiang
Ge, Song
Qu, Zhe
Wang, Aming
Tang, Xianping
The willingness and influencing factors to choose smart senior care among old adults in China
title The willingness and influencing factors to choose smart senior care among old adults in China
title_full The willingness and influencing factors to choose smart senior care among old adults in China
title_fullStr The willingness and influencing factors to choose smart senior care among old adults in China
title_full_unstemmed The willingness and influencing factors to choose smart senior care among old adults in China
title_short The willingness and influencing factors to choose smart senior care among old adults in China
title_sort willingness and influencing factors to choose smart senior care among old adults in china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750727/
https://www.ncbi.nlm.nih.gov/pubmed/36517739
http://dx.doi.org/10.1186/s12877-022-03691-3
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