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KMID : 1170320150210040043
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Korean Journal of Health Economics and Policy
2015 Volume.21 No. 4 p.43 ~ p.61
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Spatial distribution characteristics of Orthopedic and Rehabilitation Clinics
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Kim Sun-Mi
Moon Kyung-Jun
Lee Kwang-Soo
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Abstract
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Recently, facilitation of primary care has become important issue because of rapid aging trend and increases rate of chronic diseases. The purpose of this study is to analyze the spatial characteristics of rehabilitation clinics and orthopedic clinics in Korea, and the relationships between their distribution and the regional characteristics. The numbers of rehabilitation clinics and orthopedic clinics per 100,000 people were used as dependent variables. For independent variables, demographic factors(total number of population, percentage of residents age 65 and older), health status factor(prevalence rate of arthritis), economic factors(number of business, amount of local taxes per person) were used for the analysis. Ordinary Least Square(OLS) based Linear Regression and Geographically Weighted Regression(GWR) were used for the analysis. Results of OLS showed that for the rehabilitation clinics, total number of population, number of business, and percentage of residents age 65 and older were statistically significant. As for the orthopedic clinics, number of business, total number of population, and amount of local taxes per person were statistically significant. GWR showed better model performance than OLS. Also, we found different relationships by regions and clinics through each region’s regression coefficients. As the number of people with chronic disease and percentage of old people increased, importance of disease care and treatments using primary healthcare organization such as clinics is becoming more emphasized. Also, it is important to manage cost effective care after discharging from hospital. The results of this study will provide information on the policy making and resource distribution for primary healthcare services.
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KEYWORD
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Geographically w eighted reg ression, Spatial analysis, Orthopedic clinics, Rehab ilitation clinics, Reg ional variation
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