■分级医疗体系是促进公平医疗保健和维持经济发展的重要措施。随着居民消费水平的提高,对医疗服务的需求也在增加。基于中国的城乡视角,本研究旨在探讨中国分级医疗制度的有效性及其与经济发展的关系。
■该研究分析了从中国政府当局收集的面板数据,涵盖2009年至2022年期间。根据中国的区域发展政策,中国分为以下几个地区:东部,中间,西方,和东北。使用主成分分析(PCA)对城乡成分因素进行了缩减。利用因子得分公式结合城乡差距率(ΔD),从城乡角度构建了评价分级医疗系统有效性的模型。然后构建向量自回归模型,分析分级医疗制度效果与经济增长之间的动态关系,并预测未来的潜在变化。
■提取了三个主要因素。三个主要因素的贡献分别为38.132、27.662和23.028%。2021年,河南省分级医疗系统运行良好(F=47245.887),山东(F=45999.640),和广东(F=42856.163)。东北地区(ΔDmax=18.77%)和东部地区(ΔDmax=26.04%)的差异小于中部地区(ΔDmax=49.25%)和西部地区(ΔDmax=56.70%)。向量自回归模型揭示了经济发展与城乡居民医疗负担之间的长期协整关系(β城市=3.09,β农村=3.66),以及接受健康教育的人数(β=-0.3492)。格兰杰因果关系检验和脉冲响应分析都验证了分级医疗制度的影响与经济增长之间存在实质性的时滞。
■城区居民受经济因素影响较大,而农村地区的人更受时间考虑的影响。城乡分级医疗体系的差距与该地区的经济发展水平有关。在为经济相关的分级医疗系统制定政策时,重要的是要考虑更长的滞后的影响。
UNASSIGNED: The hierarchical medical system is an important measure to promote equitable healthcare and sustain economic development. As the population\'s consumption level rises, the demand for healthcare services also increases. Based on urban and rural perspectives in China, this study aims to investigate the effectiveness of the hierarchical medical system and its relationship with economic development in China.
UNASSIGNED: The study analyses panel data collected from Chinese government authorities, covering the period from 2009 to 2022. According to China\'s regional development policy, China is divided into the following regions: Eastern, Middle, Western, and Northeastern. Urban and rural component factors were downscaled using principal component analysis (PCA). The factor score formula combined with Urban-rural disparity rate (ΔD) were utilized to construct models for evaluating the effectiveness of the hierarchical medical system from an urban-rural perspective. A Vector Autoregression model is then constructed to analyze the dynamic relationship between the effects of the hierarchical medical system and economic growth, and to predict potential future changes.
UNASSIGNED: Three principal factors were extracted. The contributions of the three principal factors were 38.132, 27.662, and 23.028%. In 2021, the hierarchical medical systems worked well in Henan (F = 47245.887), Shandong (F = 45999.640), and Guangdong (F = 42856.163). The Northeast (ΔDmax = 18.77%) and Eastern region (ΔDmax = 26.04%) had smaller disparities than the Middle (ΔDmax = 49.25%) and Western region (ΔDmax = 56.70%). Vector autoregression model reveals a long-term cointegration relationship between economic development and the healthcare burden for both urban and rural residents (βurban = 3.09, βrural = 3.66), as well as the number of individuals receiving health education (β = -0.3492). Both the Granger causality test and impulse response analysis validate the existence of a substantial time lag between the impact of the hierarchical medical system and economic growth.
UNASSIGNED: Residents in urban areas are more affected by economic factors, while those in rural areas are more influenced by time considerations. The urban rural disparity in the hierarchical medical system is associated with the level of economic development of the region. When formulating policies for economically relevant hierarchical medical systems, it is important to consider the impact of longer lags.