- A Study on the Regional Function of Health Care by the Disease Pattern of the Inpatients.
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Huyn Rim Choi, Sang Il Lee, Young Soo Shin, Yong Ik Kim
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Korean J Prev Med. 1988;21(2):390-403.
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 Abstract
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- The objectives of the study were to provide the basic informations needed in the development of balanced medical services throughout the nation. As the national health care system was expanding rapidly along with the economic growth, quantitative re-evaluation of the system is of great need. For that reason, characteristics of the admitted patients were analyzed for the case-mix and patients' flow within and through regions. Materials were 421,530 cases of inpatients, who were reported through Medical Insurance Corporation(KMIC) for insurance claim, during the period of March 1, 1985 through February 28, 1987. Korean Diagnosis Related Groups(K-DRGs) classification system was adopted for the study of case-mix and 189 cities and countries were classified into 5 district groups by factor analysis results of K-DRGs. The major findings of this study were as follows ; 1) Factor analysis of case-mix, employing K-DRG system, revealed 5 distinct functional district groups. Group A(18 district) was prominent for tertiary medical care. In group B(36 districts), rather simple procedures were prevalent. Group C(26 districts) was distinctive for the medical care of well organized internal medicine practices with qualified clinical laboratories. Group D(17 districts) was characterized by relatively high balanced medical care. Group E (92 districts) was with very low level of medical care. 2) Analysis of the case-flow through the districts showed 3 types of flow patterns ; inflow, outflow, and balanced types. Inflow type of case-flow was found in Group A, C and D while Group B and E showed outflow type. Inflow was most prominent in Group A and Group E was of typical outflow type. Group B was consistently the outflow type except for Major Diagnostic Category XX regardless of the disease treaders, but Group C and D were inflow or outflow types according to the disease tracers.
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Summary
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