The geographical analysis of the occurrence and treatment of severe diseases in China
Severe diseases have a significant impact on patients and their families,and treating severe diseases is a basic need for people's well-being,so the issue of severe diseases is one of the key focuses in constructing a Healthy China.The occurrence and treatment of severe diseases in China show significant spatial heterogeneity.Therefore,taking geographical perspectives and methods can improve efforts to prevent severe diseases in different regions and facilitate the allocation of healthcare resources nationwide.This article collected individual samples from a national representative severe disease mutual aid platform,using prefecture-level cities as the basic analysis unit.Spatial correlation analysis,geographical detector model,multiple variables regression,geographic inequality decomposition,and cohort analysis.This article found that:(1)strong spatial clustering phenomenon exists in six severe diseases,including lung cancer,gastrointestinal cancer,breast cancer,cerebral stroke,acute myocardial infarction-and thyroid cancer;(2)several natural geographic and human geographic factors have strong explanatory power for the occurrence of severe diseases,but large variations exist in influencing factors among different diseases;(3)significant differences exist in healthcare resources among regions,leading patients to weigh both geographical distance and the quality of medical services when choosing a destination for cross-border medical treatment;(4)the disparity in the treatment-to-occurrence ratio of severe diseases across regions is large between regions divided by the Hu Huanyong Line;(5)the inequality level of the national treatment-to-occurrence ratio increased with the evolution of newer birth cohorts among patients and decreased with the establishment of new hospitals.This article concludes by suggesting policy policies tailored to local conditions to improve the prevention,control,and treatment of severe diseases.
severe diseasehospitalgeographical inequalityhealth geographyHealthy Chinainsurance
NETL
NSTL
万方数据
