Burden of Disease in Japan: Using National and Subnational Data to Inform Local Health Policy
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(Gilmou Stuart) - University of Tokyo Graduate School of Medicine Department of Global Health Policy
(Liao Yi) - University of Tokyo Graduate School of Medicine Department of Global Health Policy
(Bilano Ver) - University of Tokyo Graduate School of Medicine Department of Global Health Policy
(Shibuya Kenji) - University of Tokyo Graduate School of Medicine Department of Global Health Policy
Abstract
The Global Burden of Disease (GBD) study has been instrumental in guiding global health policy development since the early 1990s. The GBD 2010 project provided rich information about the key causes of mortality, disability-adjusted life years, and their associated risk factors in Japan and provided a unique opportunity to incorporate these data into health planning. As part of the latest update of this project, GBD 2013, the Japanese GBD collaborators plan to update and refine the available burden of disease data by incorporating sub-national estimates of the burden of disease at the prefectural level. These estimates will provide health planners and policy makers at both the national and prefectural level with new, more refined tools to adapt local public health initiatives to meet the health needs of local populations. Moreover, they will enable the Japanese health system to better respond to the unique challenges in their rapidly aging population and as a complex combination of non-communicable disease risk factors begin to dominate the policy agenda. Regional collaborations will enable nations to learn from the experiences of other nations that may be at different stages of the epidemiological transition and have different exposure profiles and associated health effects. Such analyses and improvements in the data collection systems will further improve the health of the Japanese, maintain Japan¡¯s excellent record of health equity, and provide a better understanding of the direction of health policy in the region.
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Burden of disease, Japan, Comparative risk factor analysis, Health policy, Non-communicable disease, Aging
KMID :
0371020140470030136
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