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赋权个体在伊朗卫生系统中的作用:采用 Z 认知图方法的定性研究。

Empowerment of individuals in Iranian health systems: a qualitative study using the Z-cognitive map approach.

机构信息

National Center for Health Insurance Research, Tehran, Iran.

Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.

出版信息

BMC Health Serv Res. 2024 Apr 3;24(1):414. doi: 10.1186/s12913-024-10866-8.

Abstract

The empowerment of people is considered as one of the most effective approaches in national healthcare systems. Identifying the effective criteria for this empowerment approach can be useful for planning enhancements. Therefore, studying and researching different aspects of people empowerment, and identifying the various relationships among related factors are of great importance. In this study - after identifying and extracting the effective factors in empowering individuals/insured persons, and interviewing health insurance and healthcare experts through content analysis - a causal model examining variables and their impact intensity through cognitive mapping is designed and drawn up. In modeling the concept of empowerment, to cover the ambiguity of expert comments, a combination of the Z-number approach with cognitive mapping has been used. Results demonstrate how various factors relate to insured empowerment. According to the results of empowerment strategies, the insurance participation strategy with the highest central index was determined as the most effective strategy, and the appropriate component for individuals gained the highest score in the centrality index. The results of this article help a lot to policy making in medical insurance.

摘要

赋予人民权力被认为是国家医疗保健系统中最有效的方法之一。确定这种赋权方法的有效标准对于规划增强措施是有用的。因此,研究和研究人民赋权的不同方面,并确定相关因素之间的各种关系非常重要。在这项研究中-在确定和提取赋予个人/被保险人的有效因素,并通过内容分析对健康保险和医疗保健专家进行访谈之后-设计并制定了通过认知图检查变量及其影响强度的因果模型。在对赋权概念进行建模时,为了涵盖专家意见的模糊性,使用了 Z 数方法与认知图的组合。结果表明了各种因素与被保险人赋权之间的关系。根据赋权策略的结果,确定保险参与策略的中心索引最高,是最有效的策略,而个人的适当组成部分在中心索引中获得了最高分数。本文的结果对医疗保险政策制定有很大帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/812b/10988921/dbed8e04dfd4/12913_2024_10866_Fig1_HTML.jpg

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