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지역별 요양기관의 분포에 영향을 미치는 인구관련 요인Population-related factors affecting the regional distribution of medical institutions in Korea

Other Titles
Population-related factors affecting the regional distribution of medical institutions in Korea
Authors
이선경조은성윤석준
Issue Date
2013
Publisher
한국병원경영학회
Keywords
The location of medical institutions; Resident population; Daytime population; University-graduate population; the population of age groups
Citation
병원경영학회지, v.18, no.2, pp.15 - 32
Indexed
KCI
OTHER
Journal Title
병원경영학회지
Volume
18
Number
2
Start Page
15
End Page
32
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/104968
ISSN
1226-6299
Abstract
Few public health researchers have paid research attention to the location of medical institutions in Korea. Previous studies were published in geography journals, and relied on limited data in terms of geographic regions and the type of medical institutions. This study utilized nationwide data covering 8 types of medical institutions. We obtained data from Health Insurance Review and Assessment Service and National Population and Housing Census. The correlation coefficients of resident, daytime, university-graduate population, and the population of different age groups (fewer than 15, 15~64, 65 or more) were compared to understand their relative association with the location of medical institutions. Medical clinic, dental clinic, oriental medical clinic, and pharmacy, all of which are almost completely operated by private sector, showed strong positive correlation with population. Hospital-level medical institutions, which are operated by both public and private sector, had moderate positive correlation. Daytime population and university-graduate population, rather than resident population, were more correlated with the location of medical clinics. The correlation coefficients of the population of 15~64 age group and the location of medical institutions were greater than that of other age groups. The results showed that daytime and university-graduate population are more important than resident population to explain the location of medical- related facilities. The results also suggests that the population of age groups (especially, 15~64) might be one of important influence factors in the location of medical institutions.
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