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构建居家老年人社区长期照护模式。

The Construction of a Community Long-term Care Model for Home-based Elderly Individuals.

机构信息

Guangxi University of Chinese Medicine.

出版信息

Acta Med Okayama. 2022 Apr;76(2):145-154. doi: 10.18926/AMO/63408.

DOI:10.18926/AMO/63408
PMID:35503442
Abstract

With rapidly aging populations, family care functions can become weakened, and community health services often lack unified standards. A standardized and professional community home-based long-term care model (CHLCM) for the elderly is urgently needed in many regions of China and in other countries. Here, we explored the indicators of the need for a CHLCM among elderly individuals, and we constructed a CHLCM. We created and distributed a questionnaire regarding the requirement of long-term care services, based on a literature review. The two-rounds Delphi method was used, involving 20 experts who were randomly selected from among the medical universities, community health service centers, and nursing homes in Nanning, Guangxi, China. The experts' enthusiasm rates in the questionnaire's two rounds were 95% and 100%, respectively. The authentic coefficient of the experts' consulting was 0.857, and that of the experts' academic level was 0.835; the judgement coefficient was 0.880 and the familiar coefficient was 0.855. The CHLCM includes service content and an evaluation. The coordination coefficients for the two primary, eight secondary, and 29 tertiary indicators were 0.200, 0.386, and 0.184, respectively (p<0.05). The experts' enthusiasm and authority were high. The coordination of the experts' agreement was sufficient, and the analysis results were reliable. The CHLCM includes 29 items that provide a foundation and references for the formulation of concrete indicators and subsequent research.

摘要

随着人口老龄化的加速,家庭护理功能可能会减弱,而社区卫生服务往往缺乏统一的标准。中国许多地区和其他国家都迫切需要建立标准化和专业化的社区居家养老长期护理模式(CHLCM)。在这里,我们探讨了老年人对 CHLCM 的需求指标,并构建了 CHLCM。我们根据文献回顾,制定并分发了一份关于长期护理服务需求的问卷。两轮 Delphi 法涉及 20 名专家,他们是从广西南宁的医科大学、社区卫生服务中心和养老院中随机挑选的。两轮问卷专家的积极性分别为 95%和 100%。专家咨询的真实系数为 0.857,专家学术水平系数为 0.835;判断系数为 0.880,熟悉系数为 0.855。CHLCM 包括服务内容和评估。两个主要指标、八个次要指标和二十九个三级指标的协调系数分别为 0.200、0.386 和 0.184(p<0.05)。专家的积极性和权威性都很高。专家意见的协调程度足够,分析结果可靠。CHLCM 包括 29 项内容,为制定具体指标和后续研究提供了基础和参考。

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Evolutionary game analysis of community elderly care service regulation in the context of "Internet +".“互联网+”背景下社区养老服务规制的演化博弈分析
Front Public Health. 2022 Dec 22;10:1093451. doi: 10.3389/fpubh.2022.1093451. eCollection 2022.