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      Equity in the distribution of CT and MRI in China: a panel analysis

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          Abstract

          Introduction

          China is facing a daunting challenge to health equity in the context of rapid economic development. This study adds to the literature by examining equity in the distribution of high-technology medical equipment, such as CT and MRI, in China.

          Methods

          A panel analysis was conducted with information about four study sites in 2006 and 2009. The four provincial-level study sites included Shanghai, Zhejiang, Shaanxi, and Hunan, representing different geographical, economic, and medical technology levels in China. A random sample of 71 hospitals was selected from the four sites. Data were collected through questionnaire surveys. Equity status was assessed in terms of CT and MRI numbers, characteristics of machine, and financing sources. The assessment was conducted at multiple levels, including international, provincial, city, and hospital level. In addition to comparison among the study sites, the sample was compared with OECD countries in CT and MRI distributions.

          Results

          China had lower numbers of CTs and MRIs per million population in 2009 than most of the selected OECD countries while the increases in its CT and MRI numbers from 2006 to 2009 were higher than most of the OECD countries. The equity status of CT distribution remained at low inequality level in both 2006 and 2009 while the equity status of MRI distribution improved from high inequality in 2006 to moderate inequality in 2009. Despite the equity improvement, the distributions of CTs and MRIs were significantly positively correlated with economic development level across all cities in the four study sites in either 2006 or 2009. Our analysis also revealed that Shanghai, the study site with the highest level of economic development, had more advanced CT and MRI machine, more imported CTs and MRIs, and higher government subsidies on these two types of equipment.

          Conclusions

          The number of CTs and MRIs increased considerably in China from 2006 to 2009. The equity status of CTs was better than that of MRIs although the equity status in MRI distribution got improved from 2006 to 2009. Still considerable inequality exists in terms of characteristics and financing of CTs and MRIs.

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          Most cited references16

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          China's human resources for health: quantity, quality, and distribution.

          In this paper, we analyse China's current health workforce in terms of quantity, quality, and distribution. Unlike most countries, China has more doctors than nurses-in 2005, there were 1.9 million licensed doctors and 1.4 million nurses. Doctor density in urban areas was more than twice that in rural areas, with nurse density showing more than a three-fold difference. Most of China's doctors (67.2%) and nurses (97.5%) have been educated up to only junior college or secondary school level. Since 1998 there has been a massive expansion of medical education, with an excess in the production of health workers over absorption into the health workforce. Inter-county inequality in the distribution of both doctors and nurses is very high, with most of this inequality accounted for by within-province inequalities (82% or more) rather than by between-province inequalities. Urban-rural disparities in doctor and nurse density account for about a third of overall inter-county inequality. These inequalities matter greatly with respect to health outcomes across counties, provinces, and strata in China; for instance, a cross-county multiple regression analysis using data from the 2000 census shows that the density of health workers is highly significant in explaining infant mortality.
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            Explaining the differences in income-related health inequalities across European countries.

            This paper provides new evidence on the sources of differences in the degree of income-related inequalities in self-assessed health in 13 European Union member states. It goes beyond earlier work by measuring health using an interval regression approach to compute concentration indices and by decomposing inequality into its determining factors. New and more comparable data were used, taken from the 1996 wave of the European Community Household Panel. Significant inequalities in health (utility) favouring the higher income groups emerge in all countries, but are particularly high in Portugal and - to a lesser extent - in the UK and in Denmark. By contrast, relatively low health inequality is observed in the Netherlands and Germany, and also in Italy, Belgium, Spain Austria and Ireland. There is a positive correlation with income inequality per se but the relationship is weaker than in previous research. Health inequality is not merely a reflection of income inequality. A decomposition analysis shows that the (partial) income elasticities of the explanatory variables are generally more important than their unequal distribution by income in explaining the cross-country differences in income-related health inequality. Especially the relative health and income position of non-working Europeans like the retired and disabled explains a great deal of 'excess inequality'. We also find a substantial contribution of regional health disparities to socio-economic inequalities, primarily in the Southern European countries. Copyright 2004 John Wiley & Sons, Ltd.
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              Trends in geographic disparities in allocation of health care resources in the US.

              This study aimed to examine current level and historical trends in health resources distribution in the US; to investigate the relationships between both levels and trends of inequality with--geographic location, inequality of income and rates per capita of hospital-beds and physicians. The Gini Coefficient was used to measure variations in distribution of physicians and hospital-beds (at the county level) during three decades. Physician distribution has become less equitable, while hospital-beds' equity has increased. physicians' distribution exhibited a geographic trend, becoming more equitable in the West. No association was found between equality in hospital-beds' distribution and rates of hospital-beds per capita. Rates per capita might not be sufficient in determining availability of resources. Further research is needed to determine implications for health outcomes.
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                Author and article information

                Journal
                Int J Equity Health
                Int J Equity Health
                International Journal for Equity in Health
                BioMed Central
                1475-9276
                2013
                6 June 2013
                : 12
                : 39
                Affiliations
                [1 ]Department of Hospital Management, School of Public Health, National Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, P. R. China
                [2 ]RAND Corporation, Pittsburgh, USA
                Article
                1475-9276-12-39
                10.1186/1475-9276-12-39
                3682935
                23742755
                2532e89c-40e3-46de-a55a-f0f12d4fe257
                Copyright ©2013 He et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 3 March 2013
                : 17 May 2013
                Categories
                Research

                Health & Social care
                high technology medical equipment,equity,distribution,financing,lorenz curve,gini coefficients

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