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      Equity and efficiency of primary health care resource allocation in mainland China

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          Abstract

          Background

          China had proposed the unification of equity and efficiency since the launch of the new round of health system reform in 2009. And the central government gave priority to the development of primary health care (PHC) whilst ensuring its availability and improving its efficiency. This study aimed to evaluate the changes of equity and efficiency in PHC resource allocation (PHCRA) and explored ways to improve the current situation.

          Methods

          The data of this study came from the China Health Statistical Yearbook (2013–2017) and China Statistical Yearbook (2017). Three and five indicators were used to measure equity and efficiency, respectively. The Lorenz curve, Gini coefficient ( G), Theil index ( T) and health resource density index (HRDI) were used to assess equity in demographic and geographical dimensions. Data envelopment analysis (DEA) and the Malmquist productivity index (MPI) were chosen to measure the efficiency and productivity of PHCRA.

          Results

          From 2012 to 2016, the total amount of PHCR had increased year by year. The Gs by population size were below 0.2 and that by geographical area were between 0.6 and 0.7. T had the same trend with G, and intra-regional contribution rates were higher than inter-regional contribution rates, which were all beyond 60%. From 2012 to 2016, the numbers of provinces that achieved an effective DEA were 4, 3, 4, 5 and 5, respectively. The mean of the total factor productivity index was 0.994.

          Conclusion

          The equity of PHCRA in terms of population size is superior in the geographical area. Intra-regional differences are the main source of inequality. The eastern region has the highest density of PHCR, whereas the western region has the lowest. In addition, PHC institutions in more than 80% of the provinces are inefficient, and the productivity of the institutions decline by 0.6% from 2012 to 2016 because of technological retrogression.

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          Most cited references37

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          Harnessing the privatisation of China's fragmented health-care delivery

          Summary Although China's 2009 health-care reform has made impressive progress in expansion of insurance coverage, much work remains to improve its wasteful health-care delivery. Particularly, the Chinese health-care system faces substantial challenges in its transformation from a profit-driven public hospital-centred system to an integrated primary care-based delivery system that is cost effective and of better quality to respond to the changing population needs. An additional challenge is the government's latest strategy to promote private investment for hospitals. In this Review, we discuss how China's health-care system would perform if hospital privatisation combined with hospital-centred fragmented delivery were to prevail—population health outcomes would suffer; health-care expenditures would escalate, with patients bearing increasing costs; and a two-tiered system would emerge in which access and quality of care are decided by ability to pay. We then propose an alternative pathway that includes the reform of public hospitals to pursue the public interest and be more accountable, with public hospitals as the benchmarks against which private hospitals would have to compete, with performance-based purchasing, and with population-based capitation payment to catalyse coordinated care. Any decision to further expand the for-profit private hospital market should not be made without objective assessment of its effect on China's health-policy goals.
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            Inequality in the distribution of health resources and health services in China: hospitals versus primary care institutions

            Background Equity is one of the major goals of China’s recent health system reform. This study aimed to evaluate the equality of the distribution of health resources and health services between hospitals and primary care institutions. Methods Data of this study were drawn from the China Health Statistical Year Books. We calculated Gini coefficients based on population size and geographic size, respectively, for the indicators: number of institutions, number of health workers and number of beds; and the concentration index (CI) for the indicators: per capita outpatient visits and annual hospitalization rates. Results The Gini coefficients against population size ranged between 0.17 and 0.44 in the hospital sector, indicating a relatively good equality. The primary care sector showed a slightly higher level of Gini coefficients (around 0.45) in the number of health workers. However, inequality was evident in the geographic distribution of health resources. The Gini coefficients exceeded 0.7 in the geographic distribution of institutions, health workers and beds in both the hospital and the primary care sectors, indicating high levels of inequality. The CI values of hospital inpatient care and outpatient visits to primary care institutions were small (ranging from -0.02 to 0.02), indicating good wealth-related equality. The CI values of outpatient visits to hospitals ranged from 0.16 to 0.21, indicating a concentration of services towards the richer populations. By contrast, the CI values of inpatient care in primary care institutions ranged from -0.24 to -0.22, indicating a concentration of services towards the poorer populations. The eastern developed region also had a high internal inequality compared with the other less developed regions. Conclusion Significant inequality in the geographic distribution of health resources is evident, despite a more equitable per capita distribution of resources. Richer people are more likely to use well-resourced hospitals for outpatient care. By contrast, poorer people are more likely to use poorly-resourced primary care institutions for inpatient care. There is a risk of the emergence of a two-tiered health care delivery system.
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              Horizontal equity in health care utilization in Brazil, 1998–2008

              Introduction This study assesses trends in horizontal equity in the utilization of healthcare services from 1998 to 2008--a period of major economic and social change in Brazil. Methods Data are from nationally representative surveys repeated in 1998, 2003, and 2008. We apply established methods for assessing horizontal inequity in healthcare access (the principle that people with the same healthcare needs should have similar access to healthcare services). Horizontal inequity is calculated as the difference between observed healthcare utilization and utilization predicted by healthcare needs. Outcomes examined include the probability of a medical, dental, or hospital visit during the past 12 months; any health service use in the past two weeks; and having a usual source of healthcare. We use monthly family income to measure differences in socioeconomic position. Healthcare needs include age, sex, self-rated health, and chronic conditions. Non-need factors include income, education, geography, health insurance, and Family Health Strategy coverage. Results The probability of having at least one doctor visit in the past 12 months became substantially more equitable over time, ending with a slightly pro-rich orientation in 2008. Any hospitalization in the past 12 months was found to be pro-poor in all periods but became slightly less so in 2008. Dental visits showed the largest absolute decrease in horizontal inequity, although they were still the most inequitably (pro-rich) distributed outcome in 2008. Service use in the past two weeks showed decreased inequity in 2003 but exhibited no significant change between 2003 and 2008. Having a usual source of care became less pro-rich over time and was nearly income-neutral by 2008. Factors associated with greater inequities include income, having a private health plan, and geographic location. Factors associated with greater equity included health needs, schooling, and enrolment in the Family Health Strategy. Conclusions Healthcare utilization in Brazil appears to have become increasingly equitable over the past 10 years. Although this does not imply that equity in health outcomes has improved correspondingly, it does suggest that government policies aimed at increasing access, especially to primary care, have helped to make healthcare utilization in Brazil fairer over time.
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                Author and article information

                Contributors
                18364167663@163.com
                349843432@qq.com
                3038493651@qq.com
                Jianw@sdu.edu.cn
                Journal
                Int J Equity Health
                Int J Equity Health
                International Journal for Equity in Health
                BioMed Central (London )
                1475-9276
                12 September 2018
                12 September 2018
                2018
                : 17
                : 140
                Affiliations
                [1 ]ISNI 0000 0004 1761 1174, GRID grid.27255.37, School of Health Care Management, , Shandong University, ; 44 Culture Road, Li Xia District, Jinan, 250012 Shandong Province China
                [2 ]ISNI 0000 0004 1761 1174, GRID grid.27255.37, NHC Key Laboratory of Health Economics and Policy Research (Shandong University), ; Jinan, 250012 China
                [3 ]ISNI 0000 0004 1761 1174, GRID grid.27255.37, School of Foreign Languages and Literature, , Shandong University, ; 5 Hongjialou, Li Cheng District, Jinan, 250100 Shandong Province China
                Article
                851
                10.1186/s12939-018-0851-8
                6134520
                30208890
                e2a55f62-d3cd-4dd7-8a86-4541cf1fb3f8
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 9 May 2018
                : 27 August 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100009108, Shandong University;
                Award ID: 2017Y03
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Health & Social care
                primary health care,equity,efficiency,productivity
                Health & Social care
                primary health care, equity, efficiency, productivity

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