School of Business, Minnan Normal University, Zhangzhou, China.
College of Life Science, Longyan University, Longyan, China.
BMC Health Serv Res. 2024 Mar 12;24(1):329. doi: 10.1186/s12913-024-10798-3.
Based on the panel data of 31 provinces (municipalities and autonomous regions) in China from 2012 to 2019, this paper constructs the evaluation index system of basic medical and health services in China from seven dimensions: medical and health facilities, health expenditure, medical services, traditional Chinese medicine hospital services, maternal and child health care, people's health and medical security, disease control and public health. The entropy method was used to measure the level of basic medical and health services in China, and its spatial differences and convergence characteristics were further investigated. In this study, we employ the entropy weight method, σ convergence, and β convergence as our primary methodologies. The entropy weight method is used to evaluate the variability of each indicator, determine the weights of indicators, and quantify the information content of the data. σ convergence illustrates the process by which the variance of a sample decreases over time. β convergence refers to the gradual approach of variables within an economic system towards their long-term equilibrium level over time. The results show that: (1) The scores of basic medical and health services in China's four major regions (including Northeast, East, Central and West) remain in a relatively stable state, with small fluctuations and great room for improvement; (2) There are significant regional differences in the level of basic medical and health services in China, and the intra-regional differences are much greater than the inter-regional differences; (3) There is no significant σ convergence observed in China and its four major regions; however, there is a notable presence of β convergence.
基于 2012 年至 2019 年中国 31 个省（自治区、直辖市）的面板数据，本文从医疗设施、卫生支出、医疗服务、中医医院服务、妇幼保健、人民健康与医疗保障、疾病防控与公共卫生七个维度构建了中国基本医疗卫生服务评价指标体系，对中国基本医疗卫生服务水平进行了测度，并进一步探讨了其空间差异和收敛特征。本研究采用熵权法、σ收敛和β收敛作为主要方法。熵权法用于评估各指标的变异性，确定指标权重，量化数据的信息量。σ收敛表示样本方差随时间减少的过程。β收敛是指经济系统内的变量随着时间的推移逐渐趋近其长期均衡水平的过程。结果表明：（1）中国四大地区（东北、东部、中部和西部）的基本医疗卫生服务得分处于相对稳定状态，波动较小，提升空间较大；（2）中国基本医疗卫生服务水平存在显著的区域差异，且区内差异远大于区际差异；（3）中国及其四大地区均不存在显著的σ收敛，但存在明显的β收敛。
