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      Health system productivity in China: a comparison of pre- and post-2009 healthcare reform

      1 , 2 , 2 , 3 , 3 , 1
      Health Policy and Planning
      Oxford University Press (OUP)

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          Abstract

          In 2009, China launched an ambitious health system reform that combined extending social health insurance scheme with improving efficiency, access and quality of care in the country. To assess the impact of the policy on efficiency and productivity change, we investigated the country’s health system performance at provincial levels during pre- and post-reform period. Outputs were measured using multiple health outcomes (namely, non-communicable diseases free healthy life years and infant and maternal survival rates), while health expenditure, number of medical personnel and hospital beds per 1000 residents were used as proxy measures for health inputs. Changes in productivity were quantified using a bootstrap Malmquist productivity index (MPI). The analysis focused on the period between 2004 and 2015. This was to capture pre- and post-policy implementation experience and to ensure that enough time was allowed for the policy to work through. Finally, a bootstrap Tobit regression model for panel data was applied to examine the potential effects of contextual factors on productivity change. The result showed that the reform has had negative effects on productivity. Only scale efficiency had improved steadily, but the decline in the scale of technological change observed during the same period meant that the progress in scale efficiency had been masked. Better economic performance (as measured by per capita Gross Domestic Product (GDP)) and higher human resource to capital investment ratio (as measured by density of medical staff per hospital beds) tended to boost productivity growth, while population aging, low educational attainment and higher percentage of out-of-pocket (OOP) payments had adverse effects. Improving health system productivity in China requires improving financial risk protection and maintaining proper balance between human and capital investment in the country.

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              Cause-specific mortality for 240 causes in China during 1990-2013: a systematic subnational analysis for the Global Burden of Disease Study 2013.

              China has experienced a remarkable epidemiological and demographic transition during the past three decades. Far less is known about this transition at the subnational level. Timely and accurate assessment of the provincial burden of disease is needed for evidence-based priority setting at the local level in China.
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                Author and article information

                Contributors
                Journal
                Health Policy and Planning
                Oxford University Press (OUP)
                0268-1080
                1460-2237
                April 2020
                April 01 2020
                December 12 2019
                April 2020
                April 01 2020
                December 12 2019
                : 35
                : 3
                : 257-266
                Affiliations
                [1 ]Faculty of Health, University of Canberra, Building 22, 11 Kirinari Street, Bruce, ACT 2617, Australia
                [2 ]Department of Health Economics and National Health Accounts Research, China National Health Development Research Center, B3 Wudong Building, 9 Chegongzhuang Street, Xicheng District, Beijing 100044, China
                [3 ]National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing 102206, China
                Article
                10.1093/heapol/czz157
                31828335
                f9b21d95-1bc9-4f03-8ca3-3114fc4a5b94
                © 2019

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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