Medical-deficient area identification method based on multi-level medical resource balance

Abstract

The invention discloses a medical-deficient area identification method based on multi-level medical resource balance. The method comprises the steps of S1, collecting data; S2, establishing a logic framework for 2R grid-hierarchy method; S3, completing permanent resident population data gridding based on administrative unit permanent resident population data and night light image data; S4, calculating the accessibility of the medical space; S5, carrying out multi-level medical resource space superposition and medical-deficient area identification to obtain the spatial accessibility range of medical resources of each level of the research area, and forming a multi-level medical resource space; superposing the multi-level medical resource space layers by utilizing GIS space superposition analysis to obtain a multi-level medical resource space balance distribution diagram of the research area, and identifying the type and the space pattern of the medical-deficient area; and subjecting thegrid distribution diagram of the permanent resident population and the multi-level medical resource space balance distribution diagram to superposition analysis, so that the population distribution and aggregation conditions of the medical-deficient area are accurately identified, and policy suggestions and scientific references are provided for urban public medical resource planning.

Description

technical field [0001] The invention relates to the field of medical and health technologies, in particular to a method for identifying areas lacking medical care based on the balance of multi-level medical resources. Background technique [0002] The uneven allocation of medical resources in space and between levels is the main reason for the poor accessibility and disorder of medical treatment for residents. The hierarchical diagnosis and treatment reform implemented in 2015 aims at the fairness and efficiency of multi-level medical resources. In recent decades, China's urban structure has undergone tremendous changes, and the allocation of medical resources in metropolitan cities must take into account the changing population layout and the development of transportation. Therefore, the spatial accessibility and balance of dynamic multi-level medical resources have become the key points of technological breakthroughs. However, the current medical spatial analysis technol...

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Problems solved by technology

[0004] In the existing analysis technology of the accessibility (and its fairness) of medical resources, it is mainly inclined to static spatial data analysis, and when expressing the spatial distribution of the population in need of medical resources, the statistical population of administrative divisions is more used Or the population of residential areas lacks the consideration of the characteristics and differentiation details of the spatial distribution of the population in the region, which affects the accuracy o

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