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居民参与长期护理保险的认知、态度和意愿:政策支持的调节作用

Residents' Cognition, Attitudes, and Intentions to Participate in Long-Term Care Insurance: Moderating Effect of Policy Support.

作者信息

Sun Zhaohui, Li Yifan, Gao Shaokui

机构信息

Department of Law and Political Science, North China Electric Power University, Baoding 071003, China.

出版信息

Behav Sci (Basel). 2024 Oct 2;14(10):895. doi: 10.3390/bs14100895.

DOI:10.3390/bs14100895
PMID:39457767
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11505349/
Abstract

This study took a comprehensive approach to considering residents' demands and investigated the intentions of residents in Hebei Province to participate in LTCI, exploring the potential for individual participation. By integrating the unique Chinese context and existing literature, this study established a theoretical framework for research hypotheses concerning the influencing factors of residents' participation intentions. Leveraging a sample of 516 survey responses, we employed structural equation modeling (SEM) and hierarchical regression analysis (HRA) for validation. The research revealed that the heterogeneity of resident attributes has a significant influence on their participation intentions, and a gap exists between residents' attitudes and intentions, leading to a scenario where attitudes are high but intentions are low. Moreover, perceived usefulness, risk perception, and perceived trust were found to directly affect residents' intentions and could indirectly affect intentions through the mediating effect of attitudes. Additionally, the moderating role of policy support is instrumental in facilitating the translation of attitudes into actual intentions, bridging the gap between attitudes and participation intentions. These findings will assist researchers in gaining a deeper understanding of Chinese residents' participation intentions and their underlying influencing factors, ultimately providing a solid foundation for government policy formulation and insurance companies' strategic adjustments.

摘要

本研究采用综合方法考量居民需求,调查了河北省居民参与长期护理保险(LTCI)的意愿,探索了个人参与的潜力。通过结合中国独特的背景和现有文献,本研究建立了一个关于居民参与意愿影响因素的研究假设理论框架。利用516份调查回复样本,我们采用结构方程模型(SEM)和层次回归分析(HRA)进行验证。研究发现,居民属性的异质性对其参与意愿有显著影响,居民的态度和意愿之间存在差距,导致态度高但意愿低的情况。此外,感知有用性、风险感知和感知信任被发现直接影响居民的意愿,并可通过态度的中介作用间接影响意愿。此外,政策支持的调节作用有助于将态度转化为实际意愿,弥合态度与参与意愿之间的差距。这些发现将帮助研究人员更深入地了解中国居民的参与意愿及其潜在影响因素,最终为政府政策制定和保险公司的战略调整提供坚实基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f5/11505349/6e1345423abb/behavsci-14-00895-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f5/11505349/2c520107ac52/behavsci-14-00895-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f5/11505349/7b9bb5439492/behavsci-14-00895-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f5/11505349/2f0ae611bde0/behavsci-14-00895-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f5/11505349/6e1345423abb/behavsci-14-00895-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f5/11505349/2c520107ac52/behavsci-14-00895-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f5/11505349/7b9bb5439492/behavsci-14-00895-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f5/11505349/2f0ae611bde0/behavsci-14-00895-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f5/11505349/6e1345423abb/behavsci-14-00895-g004.jpg

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