Masakazu Mushiaki    Department   Kawasaki University of Medical Welfare  ,    Position   Assistant Professor
Article types	原著
Language	Japanese
Peer review	Peer reviewed
Title	Trends in Elderly Patients in Okayama Prefecture Based on Discharge Status: Medical Care Analysis Using DPC Data
Journal	Formal name：Kawasaki medical welfare journal ISSN code：09174605
Domestic / Foregin	Domestic
Publisher	Kawasaki Medical Welfare Society
Volume, Issue, Page	pp.123-133
Author and coauthor	Yusei OI, Katsumi HONNO, Nao KASHIMURA, Masakazu MUSHIAKI, Takehiko MITA, Tomohiro TANIKAWA, Suguru OSAKA, Hiromi KATAOKA, Hitoshi OBARA
Publication date	2023/09
Summary	Data analysis of medical and long-term care data is essential for building effective and efficient medical and long-term care systems to cope with the 2040 problem, when the working-age population is expected to rapidly decline. In this study, DPC (Data Processing Code) data collected from 18 facilities in Okayama Prefecture were used to analyze the gender, discharge destination, nursing care status required, and home care of discharged patients in the main diagnosis groups of MDC (Major Diagnosis Category) 01, MDC04, MDC05, and MDC16 aged 65 or older. As a result, it was found that MDC01 and MDC04 have a higher proportion of individuals requiring long-term care levels 1 to 5, while MDC05 and MDC16 have a higher proportion of individuals requiring support levels 1 to long-term care level 3. Patients in MDC01 had higher overall medical needs, and many of those certified as requiring nursing care were transitioned to home care, while those certified as requiring nursing care in MDC04 were unable to receive home care in some cases. In addition, MDC05 and MDC16 certified persons in need of care were found to have a high rate of discharge to other facilities, although their level of care needs were low. The condition of those certified as requiring long-term care at the time of discharge suggested that they tended to have higher levels of care requirements and lower discharge rates to home. Integrating medical and long-term care data is crucial.