加强老年护理服务：全面的互联网+社区家庭指标系统。

Enhancing older care services: a comprehensive internet + community home indicator system.

机构信息

Department of Nursing, Jinzhou Medical University, Jinzhou, China.

Department of Health, Yantai Nanshan University, Yantai, China.

出版信息

BMC Public Health. 2024 Oct 5;24(1):2713. doi: 10.1186/s12889-024-20221-5.

DOI:10.1186/s12889-024-20221-5

PMID:39367381

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11453015/

Abstract

OBJECTIVE

Constructing a demand-oriented Internet + community home care service indicator system, starting from the actual needs of the elderly, and quantifying the demand into specific service contents that can be provided, so as to realize the effective supply of services. It aims to provide a theoretical basis for the government to formulate relevant aging policies and provide a reference basis for promoting the innovation and development of the Internet + elderly care model.

METHODS

Based on existence needs, relationship needs and growth needs abbreviated as "Existence, Relatedness, Growth (ERG)" demand theory, through the discussion in the group meeting, form the expert consultation questionnaire of the demand-oriented Internet + community home care service indicator system, select experts in related fields to conduct two rounds of Delphi expert consultation, summarize the experts' opinions to determine the indicator system items, and use the Analytic Hierarchy Process (AHP) method to construct the judgment matrix to derive the weighting coefficients of the indicators, and establish the ultimate demand-oriented Internet + community home care service indicator system.

RESULTS

The effective recovery rates for the two rounds of expert consoulation questionnaires were 100%, with expert authority coefficients of 0.852 and 0.868, respectively. The Kendall coefficients for the second round of expert views varied from 0.226 to 0.431, with coefficients of variation for all indexes less than 0.25.The finalized demand-oriented Internet + community home care service indicator system includes 3 first-level indicators, 10 s-level indicators, and 46 third-level indicators. The consistency ratios of indicator judgment matrices at all levels are less than 0.10, suggesting that the hierarchical analysis findings are consistent, implying that the weight coefficient distribution is appropriate.

CONCLUSION

The demand-oriented Internet + community home care service Indicator System, which was created through expert consultation and AHP method, has reasonable content and is more dependable as an evaluation tool for reliably assessing demand for elderly servic.

摘要

目的

构建以需求为导向的互联网+社区居家养老服务指标体系，从老年人的实际需求出发，将需求量化为具体可提供的服务内容，实现服务的有效供给。旨在为政府制定相关老龄化政策提供理论依据，为推动互联网+养老服务模式创新发展提供参考依据。

方法

基于存在需求、关系需求和成长需求的缩写“ERG”需求理论，通过小组会议讨论，形成需求导向的互联网+社区居家养老服务指标体系的专家咨询问卷，选取相关领域专家进行两轮德尔菲专家咨询，总结专家意见，确定指标体系条目，运用层次分析法（AHP）构建判断矩阵，推导出指标权重系数，建立最终的以需求为导向的互联网+社区居家养老服务指标体系。

结果

两轮专家咨询问卷的有效回收率均为 100%，专家权威系数分别为 0.852 和 0.868。第二轮专家意见的 Kendall 系数范围为 0.226 至 0.431，所有指标的变异系数均小于 0.25。最终确定的以需求为导向的互联网+社区居家养老服务指标体系包括 3 个一级指标、10 个二级指标和 46 个三级指标。各层次指标判断矩阵的一致性比率均小于 0.10，说明层次分析结果具有一致性，表明权重系数分布合理。