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      Progress on Catastrophic Health Expenditure in China: Evidence from China Family Panel Studies (CFPS) 2010 to 2016

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          Abstract

          Background: To provide an updated estimate of the level and change in catastrophic health expenditure in China and examine the association between catastrophic health expenditure and family net income, we obtained data from four waves of the China Family Panel Studies conducted between 2010 and 2016. Method: We defined catastrophic health expenditure as out-of-pocket payments equaling or exceeding 40% of the household’s capacity to pay. The Poisson regression with robust variance and generalized estimated equation (Poisson-GEE) model was used to quantify the level and change of catastrophic health expenditure, as well as the association between catastrophic heath expenditure and family net income. Result: Overall, the incidence of catastrophic expenditure in China experienced a 0.70-fold change between 2010 (12.57%) and 2016 (8.94%). The incidence of catastrophic health expenditure (CHE) decreased more in the poorest income quintile than the richest income quintile (annual decrease of 1.17% vs. 0.24% in urban areas, p < 0.001; 1.64% vs. −0.02% in rural areas, p < 0.001). Every 100% increase in income was associated with a 14% relative-risk reduction in CHE (RR = 0.86, 95% CI: 0.85–0.88) after adjusting for demographics, health needs, and health utilization characteristics; this association was weaker in recent years. Conclusion: Our analysis found that China made progress to reduce catastrophic health expenditure, especially for poorer groups. Income growth is strongly associated with this change.

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          Most cited references22

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          What are the economic consequences for households of illness and of paying for health care in low- and middle-income country contexts?

          This paper presents the findings of a critical review of studies carried out in low- and middle-income countries (LMICs) focusing on the economic consequences for households of illness and health care use. These include household level impacts of direct costs (medical treatment and related financial costs), indirect costs (productive time losses resulting from illness) and subsequent household responses. It highlights that health care financing strategies that place considerable emphasis on out-of-pocket payments can impoverish households. There is growing evidence of households being pushed into poverty or forced into deeper poverty when faced with substantial medical expenses, particularly when combined with a loss of household income due to ill-health. Health sector reforms in LMICs since the late 1980s have particularly focused on promoting user fees for public sector health services and increasing the role of the private for-profit sector in health care provision. This has increasingly placed the burden of paying for health care on individuals experiencing poor health. This trend seems to continue even though some countries and international organisations are considering a shift away from their previous pro-user fee agenda. Research into alternative health care financing strategies and related mechanisms for coping with the direct and indirect costs of illness is urgently required to inform the development of appropriate social policies to improve access to essential health services and break the vicious cycle between illness and poverty.
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            An assessment of progress towards universal health coverage in Brazil, Russia, India, China, and South Africa (BRICS)

            Summary Brazil, Russia, India, China, and South Africa (BRICS) represent almost half the world's population, and all five national governments recently committed to work nationally, regionally, and globally to ensure that universal health coverage (UHC) is achieved. This analysis reviews national efforts to achieve UHC. With a broad range of health indicators, life expectancy (ranging from 53 years to 73 years), and mortality rate in children younger than 5 years (ranging from 10·3 to 44·6 deaths per 1000 livebirths), a review of progress in each of the BRICS countries shows that each has some way to go before achieving UHC. The BRICS countries show substantial, and often similar, challenges in moving towards UHC. On the basis of a review of each country, the most pressing problems are: raising insufficient public spending; stewarding mixed private and public health systems; ensuring equity; meeting the demands for more human resources; managing changing demographics and disease burdens; and addressing the social determinants of health. Increases in public funding can be used to show how BRICS health ministries could accelerate progress to achieve UHC. Although all the BRICS countries have devoted increased resources to health, the biggest increase has been in China, which was probably facilitated by China's rapid economic growth. However, the BRICS country with the second highest economic growth, India, has had the least improvement in public funding for health. Future research to understand such different levels of prioritisation of the health sector in these countries could be useful. Similarly, the role of strategic purchasing in working with powerful private sectors, the effect of federal structures, and the implications of investment in primary health care as a foundation for UHC could be explored. These issues could serve as the basis on which BRICS countries focus their efforts to share ideas and strategies.
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              Inequality in household catastrophic health care expenditure in a low-income society of Iran.

              We assessed change in household catastrophic health care expenditures (CHE) and inequality in facing such expenditures in south-west Tehran. A cluster-sampled survey was conducted in 2003 using the World Health Survey questionnaire. We repeated the survey on the same sample in 2008 (635 and 603 households, respectively). We estimated the proportion of households facing CHE using the 'household's capacity to pay'. We identified the determinants of the household CHE using regression analysis and used the concentration index to measure socio-economic inequality and decompose it into its determinants factors. Findings showed that the proportion of household facing CHE had no significant change in this period (12.6% in 2003 vs 11.8% in 2008). The key determinants of CHE for both years were health care utilization and health care insurance status. Socio-economic status was the main contributor to inequality in CHE, while unequal utilization of dentistry and outpatient services had reduced the inequality in CHE between socio-economic groups. We observed no significant change in the CHE proportion despite policy interventions aimed at reducing such expenditures. Any solution to the problem of CHE should include interventions aimed at the determinants of CHE. It is essential to increase the depth of social insurance coverage by expanding the basic benefit package and reducing co-payments.
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                28 November 2019
                December 2019
                : 16
                : 23
                : 4775
                Affiliations
                [1 ]China Center for Health Development Studies, Peking University, Beijing 100191, China; xma@ 123456hsc.pku.edu.cn (X.M.); ziyuewang@ 123456bjmu.edu.cn (Z.W.)
                [2 ]Department of Health Policy and Management, School of Public Health, Peking University, Beijing 100191, China
                Author notes
                [* ]Correspondence: xiaoyunliu@ 123456pku.edu.cn
                [†]

                These authors contributed equally and are co-first authors.

                Article
                ijerph-16-04775
                10.3390/ijerph16234775
                6926556
                31795178
                ef7ae552-2b16-4c34-88b2-f9442f1735ee
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 08 November 2019
                : 26 November 2019
                Categories
                Article

                Public health
                catastrophic health expenditure,inequity,health care expenditures,income,china
                Public health
                catastrophic health expenditure, inequity, health care expenditures, income, china

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