東京大学医学系研究科 国際保健政策学 東京大学 The University of Tokyo

Department of Global Health Policy

Graduate School of Medicine, The University of Tokyo

Health system performance assessment

保健医療制度のパフォーマンスの評価

保健医療制度がどう機能し、医療政策の適切な実行においてどのような障害が存在し、
保健医療制度が健康上の脅威に対処する能力に
どのように外的あるいは組織的な要因が影響を与えるか、についての理解を深める

Understanding how health systems work, what barriers exist to the proper implementation of health policy,
and how external and institutional factors can affect the ability of the health system
to respond to routine and extraordinary health threats.

Analysis of health system inputs 保健医療制度のインプット分析

To understand how health system financing, human resource distribution and planning,
or private organizations and individuals can work to improve health system performance.

Analysis of health system outputs 保健医療制度のアウトプット分析

To examine how health systems perform, how well they deliver the services they are funded for,
and how policy-making is converted into practice in the real world. Understanding how resource allocation can affect and be affected by disease and illness.

Measuring impact インパクトの測定

To estimate the magnitude of a policy’s effect and the effectiveness of a health system or policy change in measurable
and important health outcomes, including tracking progress towards the Millennium Development Goals and contributing to the Global Burden of Disease study.

Recent Publications

Nomura S, Shibuya K. Improving Population Health in the Era of Superaging: Japan’s Challenges and Opportunities. In: Sean Connell, Shuhei Nomura, Kenji Shibuya and Benjamin Shobert. Innovative Asia: Innovation Policy and the Implications for Healthcare and the Life Sciences. Washington: The National Bureau of Asian Research; 2018.

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Sakamoto H , Rahman MM, Nomura S, Okamoto E, Koike S, Yasunaga H et al. Japan Health System Review . Vol. 8 No. 1. New Delhi: World Health Organization, Regional Office for South-East Asia, 2018.

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Rahman MS, Rahman MM, Gilmour S, Swe KT, Abe SK, Shibuya K. Trends in, and projections of, indicators of universal health coverage in Bangladesh, 1995–2030: a Bayesian analysis of population-based household data. The Lancet Global Health. 2018; 6: e84-94.

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GBD 2016 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet. 2017; 390: 1345-1422.

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GBD 2016 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet. 2017; 390: 1260–1344.

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GBD 2016 Causes of Death Collaborators. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet. 2017; 390: 1151–1210.

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GBD 2016 Mortality Collaborators. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet. 2017; 390: 1084–1150.

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GBD 2016 SDG Collaborators. Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016. The Lancet. 2017; 390: 1423–59.

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Rahman MM, Karar A, Rahman MS, Parsons A, Abe SK, Bilano V, Gilmour S, Shibuya K. Progress toward universal health coverage: a comparative analysis in 5 South Asian countries. JAMA Intern Med. 2017; 177(9): 1297-1305.

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Saito E, Gilmour S, Yoneoka D, Gautam GS, Rahman MM, Shrestha PK, Shibuya K. Inequality and inequity in healthcare utilization in urban Nepal: a cross-sectional observational study. Health Policy and Planning. 2016;31(7):817-24.

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Liao Y, Gilmour S, Shibuya K. Health Insurance Coverage and Hypertension Control in China: Results from the China Health and Nutrition Survey. PLOSE ONE. 2016; 11(3): e0152091.

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Kinoshita R, Nishiura H. Assessing herd immunity against rubella in Japan: a retrospective seroepidemiological analysis of age-dependent transmission dynamics. BMJ Open. 2016; 6(1): e009928.

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Reich M, Shibuya K. The Future of Japan's Health System — Sustaining Good Health with Equity at Low Cost. The New England Journal of Medicine. 2015; 373:1793-1797. DOI: 10.1056/NEJMp1410676

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Yoneoka D, Henmi M, Sawada N, Inoue M. Synthesis of clinical prediction models under different sets of covariates with one individual patient data. BMC Medical Research Methodology. 2015;15(1):101. doi: 10.1186/s12874-015-0087-x.

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Nishiura H, Kinoshita R, Miyamatsu Y, Mizumoto K. Investigating the immunizing effect of the rubella epidemic in Japan, 2012-14. International Journal of Infectious Diseases. 2015; 38:16-18.

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