浙江省医疗资源分布状况的聚类分析研究

Cluster analysis of the distribution of medical resources in Zhejiang

目的了解和分析浙江省各个地区的医疗资源分布状况,为进一步合理配置卫生资源提供依据。方法采用基于智能聚类理论的两步聚类分析法,通过计算和比较对数似然距离(log-likeli-hood distances)对浙江省11个地区的医疗资源分布状况进行归类。结果按照AIC值、BIC值、类间距离最大等最优聚类判别原则,将我省11个地区聚类成4个不同医疗资源分布状况的类别:杭州和宁波为第1类;舟山、金华和丽水为第2类;湖州和衢州为第3类;温州、嘉兴、绍兴和台州等归为第4类。结论浙江省医疗资源的地区分布不够均衡,各地应有针对性地合理分配资源,完善医疗资源配置结构。

Objective To understand the distribution of medical resources in the various regions of Zhejiang so as to provide basis for furthering the rational allocation of health resources. Methods Using two-step cluster analysis based on intelligence cluster theories, medical resources in the 11 regions of Zhejiang were classified by calculating and comparing log-likelihood distances. Results The 11 regions were clustered into 4 different types of distribution according to AIC value, BIC value, and the principles of maximum distances and most optimal cluster and differentiation between the various types： type 1 included Hangzhou and Ningbo, type 2 included Zhoushan, Jinhua and Lishui; type 3 included Huzhou and Quzhou; type 4 included Wenzhou, Jiaxing, Shaoxing and Taizhou. Condusion Medical resources in Zhejiang are unevenly distributed. The various regions there ought to take relevant measures to rationally allocate medical resources and improve the structure for the allocation of medical resources.