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Universal health coverage for inclusive and sustainable development. A synthesis of 11 country case studies.

MAEDA, Akiko
ARAUJO, Edson
CASHIN, Cheryl
HARRIS, Joseph
IKEGAMI, Naoki
REICH, Michael R.
et al
2014

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Universal health coverage (UHC) for inclusive and sustainable development synthesises the experiences from 11 countries—Bangladesh, Brazil, Ethiopia, France, Ghana, Indonesia, Japan, Peru, Thailand, Turkey, and Vietnam—in implementing policies and strategies to achieve and sustain UHC. These countries represent diverse geographic and economic conditions, but all have committed to UHC as a key national aspiration and are approaching it in different ways. The UHC policies for each country are examined around three common themes: (1) the political economy and policy process for adopting, achieving, and sustaining UHC; (2) health financing policies to enhance health coverage; and (3) human resources for health policies for achieving UHC. The path to UHC is specific to each country, but countries can benefit from experiences of others and avoid potential risks

Disease control priorities in developing countries. 2nd edition. Chapter 15. Cost-effectiveness analysis for priority setting.

MUSGROVE, Phillip
FOX-RUSHBY, Julia
2006

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What cost-effectiveness analysis (CEA) does and does not provide, how it is related to the concept of burden of disease, and how it can be used, along with other criteria, in setting priorities is discussed. The several meanings of the term CEA and the way that interventions are classified and evaluated are described. Estimating the effectiveness of an intervention requires specifying the units which in turn requires choices of several parameter values, including, in the analyses reported here, the discount rate applied to future years; the disability weights that describe the severity of diseases and conditions, corresponding to the health losses that they cause; and the life expectancy at different ages. Costs of interventions to include in the analysis, and conversion of costs to equivalents in U.S. dollars for international comparisons are described. Variations of results and uncertainty of estimates are discussed. Two ways are suggested to consider costs and outcomes at the population level, allowing for large differences among countries in the size of population; the incidence or prevalence of a disease, condition, or risk factor; and the amount spent or available to spend on an intervention

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