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KMID : 1138720160420020045
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Korean Public Health Research
2016 Volume.42 No. 2 p.45 ~ p.55
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Study on the Relationship between the Efficiency of Regional Health Care Resource Uses and Health Status Focusing on Seoul and Gyeonggi Province in South Korea
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Kwak Jin-Mi
Lee Kwang-Soo
Seo Eun-Won
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Abstract
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Objective: This study analyzes the relationship between the efficiency of regional health care resource uses and health status of population focusing on Seoul and Gyeonggi Province in South Korea.
Methods: Data was collected from the 2013 statistical yearbook published by the National Health Insurance Corporation, Statistics Korea, and the Ministry of Health and Welfare. Study units included 56 basic local governments, city (si in Korean), county (gun in Korean) and district (gu in Korean), in 2013. Data envelopment analysis (DEA) with input-oriented BCC model was applied to produce efficiency score. Structural equation modeling (SEM) was applied to explore the relationship between efficiency of regional health care resource uses and health status of population. Variables such as the percentage of high school graduates, population size, types of local government, level of subjective health awareness, and level of financial independence were included in the model to control their differences among regions.
Results: Analysis result showed that the efficiency of regional health care resource uses were not statistically related to health status. Regional variables such as the percentage of high school graduates, population size, and county local government were found to have significant relationships with health status.
Conclusion: It suggests that it is need to manage the health of local residents with multidisciplinary approaches consisted with various members of the local health system organizations rather than mainly focusing on health service uses. Health policy makers will require introducing the concept of deinstitutionalization and building an integrated community health to manage the health of population.
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KEYWORD
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Data envelopment analysis, Structural equation modeling, Efficiency scores, Health care resources, Health Status
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