Measurement of the Allocation Mismatch of Primary Medical Resources in China and Its Spatial and Temporal Evolution Analysis
摘要
Background With the aging of the population and the increase of the proportion of patients with chronic diseases, the people's demand for primary medical resources is diversified and complicated. There are differences in the demand for primary medical resources among different regions and different groups of people. Some areas are facing the problem of lack of primary medical resources, which seriously restricts the coverage and quality of primary medical and health services, and greatly affects the medical experience and health status of residents. Objective In order to promote the high-quality development of the primary medical and health service system, the health distance model is introduced to analyze the spatial and temporal evolution process of the allocation mismatch of primary medical resources in China from 2011 to 2021, so as to provide reference for rationally formulating regional health plans, optimizing the allocation of medical resources, improving the capacity of primary medical and health services, and promoting the high-quality development of medical and health services. Methods An evaluation index system for the mismatch of primary medical resources was established from the three levels of health material resources, human resources and security resources. Data were obtained from the China Statistical Yearbook and China Health Statistics Yearbook. The bi-level programming model and the health distance model were used to measure the mismatch of primary medical resources allocation from 2011 to 2021. Results From 2011 to 2021, the overall mismatch degree of primary medical resources allocation in China has a significant downward trend, but the mismatch degree differences between regions and provinces continue to expand. The average values of mismatch in the eastern, central and western regions in 2011 were 0.633, 0.624 and 0.754, respectively, which were moderate mismatch, mild mismatch and severe mismatch. In 2021, the average values of mismatc