earticle

영어

This study purposed to analyze the spatial characteristics of primary care organizations within a metropolitan city. Study city was one of the six metropolitan cities in Korea and had a population over 1.5 million. For the analysis, 500m x 500m cells were created on the map and then study variables were calculated in each cell. Data was from the 5 ward offices and public health centers. Variables which could not calculated directly from each cell such as the number of total population, number of people over 65 year old, number of business, and number of employee were estimated in each cell. Ordinary Least Square (OLS) based regression analysis model as well as Geographic Weighted Regression (GWR) model were developed with the number of primary care organizations, clinics and oriental medicine clinics, as the dependent variable. Road areas, number of subway gate, and number of hospital variables in each cell showed higher significant coefficients than that of population variable. Road areas and number of subway, and number of hospital variables showed large standardized regression coefficients. GWR-based model showed better model performance than that of OLS model. The study model can be used for analyzing the characteristics of local health clinic market and for preparing the policy decisions for distributing health resources.