A prediction of the paths to equalization of basic public health services based on Gragh Neural Network(GNN)

作者：Min Duan, Tao Tan, Binzhe Zhang, Xun Bo Zhou · 发表于：Research Square · 年份：2022 · DOI：10.21203/rs.3.rs-1611220/v1 · 被引用次数：2 · 研究领域：Healthcare Systems and Reforms、Health disparities and outcomes

Abstract The contradiction between supply and demand of China's health resources has become increasingly prominent under the strategic requirement of “High-quality public health development”. Especially in the context of accelerated population aging and changes in the disease spectrum, chronic diseases and other health issues are increasingly concerned. The government, as the main supplier, have to solve the outstanding conflicts of imbalance in resource allocation in the region. Our study aims to analyze inequalities in the utilization behavior of basic public health services for chronic diseases, to explore the influence of both supply and demand elements, and to assess whether the balanced allocation of resources at different levels within a region can contribute to equalization of basic public health services. This study collected the health insurance swipe records of diabetic patients in S city, and visualizes the supply and demand of medical resources on a map. Secondly, we construct a heterogeneous graph neural network(GNN) of hospital-patient medical resource utilization to explore the combinatorial effects of unequal utilization. Finally, we predict the changes in patients' behavior after two supply optimization means of improving the service quality of primary care institutions and sinking of high-quality medical resources. The analysis shows that the utilization of regional healthcare resources is also influenced by the center-edge supply structure, and the concent...