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병원의 경영성과와 투자비용에 대한 병상규모별 차이분석

The Analysis of the Differences by Hospital Size between the Management Performance and Investment Costs of Hospitals

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Objectives: The study analyzed whether investment expenditure variables affecting hospital management performance differ by bed size, how these variables influence proxy variables for management performance, and the magnitude of their impact. Methods: Based on the number of beds, the analysis divided hospitals into three groups: hospitals with fewer than 200 beds, 200-299 beds, and 300 or more beds. Investment expenditure proxy variables included labor costs, welfare costs, education and training costs, and advertising costs, while management performance was represented by medical return ratio and medical profit ratio. Results: The analysis revealed that labor, education, and advertising costs varied by bed size, it was found that the variables of labor costs, education costs, and advertising costs differ by bed size. The rate of medical returns and medical profits also differed according to bed size. Contradictory results were observed : the average medical return was higher in larger hospitals, while another measure of average medical return was higher in smaller hospitals. Labor cost was found to have the greatest influence on hospital management performance. Conclusions: These results provide useful insights for hospital managers to make more efficient decisions regarding resource allocation and management strategies.

Abstract

Objectives: The study analyzed whether investment expenditure variables affecting hospital management performance differ by bed size, how these variables influence proxy variables for management performance, and the magnitude of their impact. Methods: Based on the number of beds, the analysis divided hospitals into three groups: hospitals with fewer than 200 beds, 200-299 beds, and 300 or more beds. Investment expenditure proxy variables included labor costs, welfare costs, education and training costs, and advertising costs, while management performance was represented by medical return ratio and medical profit ratio. Results: The analysis revealed that labor, education, and advertising costs varied by bed size, it was found that the variables of labor costs, education costs, and advertising costs differ by bed size. The rate of medical returns and medical profits also differed according to bed size. Contradictory results were observed : the average medical return was higher in larger hospitals, while another measure of average medical return was higher in smaller hospitals. Labor cost was found to have the greatest influence on hospital management performance. Conclusions: These results provide useful insights for hospital managers to make more efficient decisions regarding resource allocation and management strategies.

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