1.A survey of end of life care at long-term care facilities in urban areas in Japan
Yuri Morimoto ; Takuya Shinjo ; Masako Sekimoto ; Toshiaki Higashikawa ; Masashi Niikuni ; Mariko Oishi ; Akihiro Ishikawa ; Hiroyuki Makimura ; Takashi Okishio ; Yasunaga Okada ; Akira Honjo
Palliative Care Research 2015;10(1):120-124
The aim of this study was to investigate the end of life care provided by long-term care facilities and nursing homes. A cross-sectional survey of all long-term care facilities and nursing homes in Kobe was performed in July 2013. Questionnaires were sent to 350 facilities with an 89.7% response rate. In total, 121(39%)of respondents stated that end of life care was available, and 151(48%)responded that facilities were willing to provide end of life care for terminally ill residents. One hundred fifty-two(48%)and 183(58%)of respondents answered that facilities were available for managing residents with percutaneous endoscopic gastrostomy, and transfusion, respectively. Seventy-two(23%)of respondents reported that facilities for managing the use of narcotics were available. In conclusion, a minority of long-term care facilities and nursing homes ware available for providing end of life care for residents, though approximately 50% were willing to do so.
2.2 . Overview of the DeSC Database and Utilization for Clinical Epidemiology and Pharmacoepidemiology Research
Japanese Journal of Pharmacoepidemiology 2022;27(1):11-18
Studies using real-world data are recently increasing worldwide. Various types of real-world data are available in Japan. Administrative claims databases include the National Database (NDB) and other types of databases including several commercially available databases. This article describes the DeSC database, newly constructed by DeSC Healthcare Co., Ltd. in 2020. One of the features of the DeSC database is that it includes data from the National Health Insurance, Health Insurance, and Advanced Elderly Medical Service System. In the present article, we referred to our previous study on population representativeness of the DeSC database and explained its overview. Estimated prevalence of some diseases were described for each type of insurance. Furthermore, we discussed the use of the DeSC database for clinical epidemiology and pharmacoepidemiology research.