摘    要目的：基于社会网络分析法，评价我国农村慢性病管理机构协同服务的现状，研究各个农村医疗卫生机构在具体实施协同服务的过程中存在的问题。方法：利用文献研究法和专家咨询法确定四大网络维度：信息交流、资源共享、项目合作、社会扶持网络，构建社会网络模型。对样本县样本乡的共计99家农村慢性病管理机构进行问卷调查，将数据录入UCINET软件进行相关的社会网络指标的测量及分析。结果：息县项店镇的网络密度为信息交流网络0。1050，资源共享网络0。1686，项目合作网络0。0833，社会扶持网络0。1436；息县包信镇的网络密度为信息交流网络0。0569，资源共享网络0。0952，项目合作网络0。0542，社会扶持网络0。1402；武陟县谢旗营镇的网络密度为信息交流网络0。1022，资源共享网络0。1844，项目合作网络0。0803，社会扶持网络0。1403。QAP相关分析显示三个样本乡的四大网络之间都存在相关性，且具有统计学意义（P<0。05），QAP回归分析显示项店镇的回归模型显示确定系数为0。629，信息交流网络和资源共享网络与项目合作网络存在正相关关系，且在统计学上具有显著性意义（P<0。05），社会扶持网络与项目合作网络间存在负相关关系，且在统计学上无显著意义（P>0。05）；包信镇的回归模型显示确定系数为0。589，信息交流网络和资源共享网络的回归系数在统计学上具有显著性意义（P<0。05），社会扶持网络的回归系数在统计学上无显著意义（P>0。05）；谢旗营镇的回归模型显示确定系数为0。512，信息交流网络和资源共享网络与项目合作网络存在正相关的关系，且在统计学上具有显著性意义（P<0。05），社会扶持网络与项目合作网络间存在负相关关系，在统计学上无显著意义（P>0。05）。 结论：县级医疗机构在农村慢性病管理网络中发挥的作用较弱，未起到领导带头作用，政府应加大对县域慢性病管理机构的扶持力度，改善农村慢性病管理服务现状。90245

毕业论文关键词：社会网络分析法； 农村慢性病管理； 协同服务

Abstract Objective: To evaluate the present situation of the cooperative service of rural chronic disease management in China based on Social Network Analysis。 Studying the rural medical and health institutions in the concrete problems existing in the implementation process of collaborative services。 Method: Using the method of literature research and expert consultation to determine four major network dimensions: information exchange, resource sharing, project cooperation, social support network, and construct social network model。 A total of 99 rural chronic disease management institutions in the sample counties were surveyed and the data were entered into UCINET software for the measurement and analysis of the relevant social network indicators。 Results: The network density of the XiangDian town is 0。1050, the resource sharing network 0。1686, the project cooperative network 0。0833, social support network 0。1436, The network density of the BaoXin town is 0。0569, the resource sharing network 0。0952, the project cooperative network 0。0542, and the social support network 0。1402。 The network density of Xie Qiying town is 0。1022, the resource sharing network 0。1844, the project cooperative network 0。0803, social support network 0。1403。 In QAP related analysis, shows three sample township of four big there is correlation between the network, and it has statistical significance (P<0。05), in the QAP regression analysis, a shop in the town of regression model shows that determine the coefficient of 0。629, after the adjustment to determine the coefficient of 0。628, information exchange and resource sharing network and project cooperation networks exist positive correlation, and regression coefficients in statistical significance (P<0。05), social support network and there is a negative correlation relationship between project cooperation network, and there is no significant statistical significance (P>0。05)。 The BaoXin town of regression model shows that determine the coefficient of 0。589, after the adjustment to determine the coefficient of 0。588, information exchange and resource sharing network of regression coefficient in statistical significance (P<0。05), social support networks of regression coefficient in no significant statistically significant (P>0。05); the Xie Qiying town of regression model shows that determine the coefficient of 0。512, after the adjustment to determine the coefficient of 0。512, information exchange and resource sharing network and project cooperation networks exist positive correlation, the relationship between regression coefficients in statistical significance (P<0。05), and the social support network and project cooperation network is negative correlation between the relationship, and there is no significant statistical significance (P>0。05)。 Conclusion: County-level medical institutions in the Rural Chronic Disease management Network play a weaker role, no leadership role, the government should increase the county level of chronic disease management institutions, improve the situation of rural chronic disease management services。