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Under the Background of Medical Alliances Construction a Simulation Study on the Residents’ First Diagnosis Choice Behavior at Basic-medical Institutions Based on SD Model : —Taking Jiangsu province, China as an Example

机译:基于SD模型的医学联盟建设居民居民初步诊断选择行为的仿真研究:江苏省江苏省

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Objective: Under the background of MAs construction, the SD model of residents’ first diagnosis choice at the basic-medical institutions was established to observe the change trend of the number of first medical diagnosis at the basic-medical institutions and the hospital with Jiangsu province as an example. Methods: Combined with the background of Jiangsu MAs construction, the data of Jiangsu statistical yearbook from 2013 to 2017 were used to make a simulation analysis on the factors affecting the choice of residents’ first medical diagnosis institutions by using the method of system dynamics. Results: All the five kinds of intervention behaviors can effectively affect the number of first medical diagnosis at the basic-medical institutions, but the effects are different. Conclusions: The model can objectively simulate the system structure and behavior rules, and can be used to predict the residents’ choice of the first medical diagnosis institutions. Among the five interventions, the construction of internal information platform of MAs and the sinking of quality medical resources in MAs can maximize the first-diagnosis rate of residents at the basic-medical institutions, which is of great significance for optimizing the structure of medical diagnosis and treatment and guiding residents to seek medical diagnosis in an orderly manner.
机译:目的:在MAS建设的背景下,居民第一次诊断选择的基础医学机构的SD模型成立,观察基本医疗机构和江苏省第一医学诊断数量的变化趋势举个例子。方法:结合江苏MAS建设的背景,2013年至2017年江苏统计年鉴的数据用于通过使用系统动态方法对影响居民选择第一医学诊断制度的因素进行仿真分析。结果:所有五种干预行为都能有效影响基本医疗机构的首次医学诊断数量,但效果是不同的。结论:该模型可以客观地模拟系统结构和行为规则,可用于预测居民的第一医学诊断机构的选择。在五个干预,金管局的内部信息平台的建设和优质医疗资源的MA的那颗可以最大限度地在基础医疗机构的居民的第一诊断率,这是具有重要意义的优化医疗诊断的结构治疗和指导居民以有序的方式寻求医学诊断。

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