This ecological study revealed the relationship between the percentage of death at home and medical and socioeconomic characteristics. This study was a secondary analysis of national data from the Population Survey Report in 2010 and government statistics in Japan. This data was analyzed by exploratory factor analysis and multiple linear regression analysis. As a result of exploratory factor analysis, medical and social characteristics are classified in three domains, “depopulation and aging”, “hospital and medical facility resources” and “access for home medical care”. By multiple linear regression analysis using results of exploratory factor analysis, cancer death was associated with “access for home medical care” and death from all causes was associated with “hospital and medical facility resources” and “access for home medical care”. In conclusion, death at home in cancer patients was strongly affected by “access for home medical care”. Death at home from all causes was due to poor hospital and medical facility resources and good access to home medical.

East Japan earthquake after cancer is not little survey about patients with palliative care and home health care. In this study, the cancer during an earthquake which aims to make recommendations for future large－scale disasters, and investigation of actual conditions of palliative care and home health care system or manual for basic data. Healthcare in the stricken coastal region 53 conducted semi－structured interviews. Results than cancer healthcare for patients with palliative care and home health care experience is 【cancer providing healthcare to patients with disabilities】【patient lost during the tsunami damage and evacuation oral medication continued failure】【failure of the medical provision of in－home patients by disruption of lifeline】【regional health providers and backward medical assistance and emergency medical group with disabilities】【mental care to medical staff】【disorder of the nuclear power plant accident community health providers】 of 6 organized by category. Be prepared for major disasters, disasters when cancer patients with palliative care and home care issues and how to respond it became evident.

Object: We validated the adequacy of using Palliative Prognostic Index (PPI) as a prognostic method for medical oncology patients. Method: PPI was measured for patients with advanced cancer admitted to our department from May 2015 to June 2016.Result: There were 45 patients analyzed. When classified into three groups according to the score of PPI, there was a tendency for survival curves to separate according to risk. Especially, there was a statistical difference in survival time between the high-risk group (PPI: ≥6.5) and the low-risk group (PPI: ≤4.0) (median survival time: 11 days vs 39 days, p=0.0048, HR: 2.75, 95%CI: 1.32-5.84). Prognostic accuracy of the PPI≥6.5 is similar to other reports. There is no difference in the accuracy of the prognostic prediction depending on the period from drug therapy to PPI evaluation. It was suggested that the influence of drug therapy on PPI evaluation is small. Discussion: We showed that it is appropriate to use PPI for the prognostic prediction of medical oncology patients.