There are large regional differences in the health care costs for the late elderly in Japan.　These regional differences could cause welfare loss, and various policies have been formulated to correct these differences.　In particular, “inpatient health care costs” is the most important that contributes to the aforementioned regional differences in the health care costs.　Although numerous analyses of the factors affecting the regional differences in inpatient health care costs have been conducted, none of the studies has analyzed such factors according to the type of bed.　Therefore, the purpose of this study was to clarify the influence of inpatient health care costs for the late elderly according to the type of bed on the regional differences in health care costs.

The coefficient of variations and maximum/minimum ratio were calculated to identify the locations of the regional differences, and the explanatory power of each factor for regional differences in the inpatient health care costs was assessed using multilevel analysis of the proportional changes in variance.　Data from health insurance claims submitted to Fukuoka Prefecture Wide-Area Association of Latter-Stage Elderly Healthcare were used for the study.　The study period was 5 years, from fiscal year 2010 to fiscal year 2014.

Regional differences in the admission rates were relatively greater for mental care and long-term care beds.　It was found that the admission rates could explain approximately 80% of the regional differences in the inpatient health care costs for all types of beds.　The regional differences in the long-term care and mental care beds were better explained by length of hospital stay, and the regional differences in the beds by DPC （Diagnosis Procedure Combination）payments were better explained by the inpatient health care costs per day.

　　［Introduction］　This study represents an attempt to elaborate a method for detecting cases of severe pneumothorax associated with placement of a central venous catheter using information on fee-for-medical-service records, to realize conformation of internal audits with actual medical service situations.　［Methods］　Cases with calculated medical fees for central venous catheterization and continuous thoracic cavity drainage were extracted from the EF file information.　In this study population, the detection sensitivity of the following methods for the above-mentioned adverse event cases were compared:Method 1, detection by reference to the name of the disorder occurring after hospital admission;Method 2, detection by reference to the diagnosis stated on the medical bill;Method 3, detection based on a survey of the medical records;Method 4, early detection by reference to the diagnosis stated on the medical bill without prior extraction from the EF files.　［Results］　The detection sensitivities of the four methods were found to be 15.4%, 42.3%, 69.2% and 53.8%, respectively, the incidence of central venous catheterization-associated severe pneumothorax was 0.8%, and the incident report submission rate was 61.5%.　［Conclusion］　Detection of adverse events based on Fee-for-medical-service information involves problems that need to be resolved, such as the detection sensitivity being dependent on the data input accuracy and the subject events being limited.　Concurrent use of survey of the medical records, however, enabled even detection of events that could not be identified from incident reports.

　　Purpose:The purpose of this study was to identify trends of academic terms used in the past decade along with collateral information for the Japan Society for Healthcare Administration.

Methods:Quantitative text analysis of the academic terms published in the Journal of the Japan Society for Healthcare Administration between January 2005 and December 2014 was performed to compare the number of terms by type and year.　In addition, groups of terms obtained by clustering were also performed on multiple correspondence analyses.

Results:Three terms, nursing, system and management, were the central keywords.　Terms related to the use of big data such as diagnosis procedure combination （DPC）, home medical care, home-visit nursing, management based on analysis, and medical care for foreigners tended to appear more often in 2010-14 than in 2005-09.

Discussion:Changes in and the characteristics of academic terms used by type and year are speculated to be related to the Japan’s situation, suggesting the necessity for new term selection, classification and explanation.