[Examination of Factors that Influence the Operation Income and Expenditure Balance Difference Rate of 20 Educational Foundation Universities].

Objectives: The objective of this study is to examine the factors that influence the operation income and expenditure balance ratio of school corporations running university hospitals by multiple regression analysis.

Methods: 1. We conducted cluster analysis of the financial ratio and classified the school corporations into those running colleges and universities.

[Type Classification Based on Inpatient Ratio According to Major Diagnosis Category of Group III in the Diagnosis Procedure Combination System].

Objectives: The target was 1,283 hospitals in group III of medical institutions. Using the Diagnosis Procedure Combination (DPC) data and the inpatient ratio according to the major diagnosis category (MDC), group III hospitals were clarified on the basis of the Mahalanobis distance (D(2)) calculated using the Mahalanobis·Taguchi (MT) method.

Methods: About 50 hospitals with the top inpatient ratio in each MDC and 1,233 other hospitals.

[Examination of the Difference in Medical Treatment Contents According to Major Diagnostic Category of Hospital Group I and Group II Using the Diagnosis Procedure Combination Survey Data].

Objectives: A difference in the medical treatment situation between the first group and the second group of the hospital group in the DPC system was clarified using Diagnosis Procedure Combination (DPC) survey data according to Major Diagnostic Category (MDC). Furthermore, the division between the first group and the second group was examined.

Methods: DPC survey data collected in 2012 was used.

[Examination of diagnosis procedure combination survey data that influence function evaluation coefficient II].

Objectives: On the basis of Diagnosis Procedure Combination (DPC) survey data, the factors that increase the value of function evaluation coefficient II were considered.

Methods: A total of 1,505 hospitals were divided into groups I, II, and III, and the following items were considered. 1.

[Examination of correlation between medical expenses with average life expectancy according to municipality and gender].

Objectives: To determine the influence of medical expenses on life expectancy.

Methods: The expenses of 1,718 municipalities were divided into total expenses, hospitalization expenses and expenses other than hospitalization and dental expenses. 1) The correlation of life expectancy with sex was considered.