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      Assessing the effects of the percentage of chronic disease in households on health payment-induced poverty in Shaanxi Province, China

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          Abstract

          Background

          Chronic disease has become one of the leading causes of poverty in China, which posed heavy economic burden on individuals, households and society, and accounts for an estimated 80% of deaths and 70% of disability-adjusted life-years lost now in China. This study aims to assess the effect of chronic diseases on health payment-induced poverty in Shaanxi Province, China.

          Methods

          The data was from the 5th National Health Survey of Shaanxi Province, which was part of China’s National Health Service Survey (NHSS) conducted in 2013. Totally, 20,700 households were selected for analysis. We used poverty headcount, poverty gap and mean positive poverty gap to assess the incidence, depth and intensity of poverty before and after health payment, respectively. Logistic regression models were further undertaken to evaluate the influence of percentage of chronic patients in households on the health payment-induced poverty with the control of other covariates.

          Results

          In rural areas, the incidence of poverty increased 31.90% before and after health payment in the household group when the percentage of chronic patients in the households was 0, and the poverty gap rose from 932.77 CNY to 1253.85 CNY (50.56% increased). In the group when the percentage of chronic patients in the households was 1–40% and 41–50%, the poverty gap increased 76.78 and 89.29%, respectively. In the group when the percentage of chronic patients in the households was 51~ 100%, the increase of poverty headcount and poverty gap was 49.89 and 46.24%. In the logistic model, we found that the proportion of chronic patients in the households was closely related with the health payment-induced poverty. The percentage of chronic disease in the households increased by 1 %, the incidence of poverty increased by 1.01 times. On the other hand, the male household head and the household’s head with higher educational lever were seen as protective factors for impoverishment.

          Conclusions

          With the percentage of chronic patients in the households growing, the health payment-induced poverty increases sharply. Furthermore, the households members with more chronic diseases in rural areas were more likely to suffer poverty than those in urban areas. Our analysis emphasizes the need to protect households from the impoverishment of chronic diseases, and our findings will provide suggestions for further healthcare reforms in China and guidance for vulnerable groups.

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          Most cited references15

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          Coping with health-care costs: implications for the measurement of catastrophic expenditures and poverty.

          In the absence of formal health insurance, we argue that the strategies households adopt to finance health care have important implications for the measurement and interpretation of how health payments impact on consumption and poverty. Given data on source of finance, we propose to (a) approximate the relative impact of health payments on current consumption with a 'coping'-adjusted health expenditure ratio, (b) uncover poverty that is 'hidden' because total household expenditure is inflated by financial coping strategies and (c) identify poverty that is 'transient' because necessary consumption is temporarily sacrificed to pay for health care. Measures that ignore coping strategies not only overstate the risk to current consumption and exaggerate the scale of catastrophic payments but also overlook the long-run burden of health payments. Nationally representative data from India reveal that coping strategies finance as much as three-quarters of the cost of inpatient care. Payments for inpatient care exceed 10% of total household expenditure for around 30% of hospitalized households but less than 4% sacrifice more than 10% of current consumption to accommodate this spending.Ignoring health payments leads to underestimate poverty by 7-8% points among hospitalized households; 80% of this adjustment is hidden poverty due to coping.
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            Impact of Noncommunicable Disease Multimorbidity on Healthcare Utilisation and Out-Of-Pocket Expenditures in Middle-Income Countries: Cross Sectional Analysis

            Background The burden of non-communicable disease (NCDs) has grown rapidly in low- and middle-income countries (LMICs), where populations are ageing, with rising prevalence of multimorbidity (more than two co-existing chronic conditions) that will significantly increase pressure on already stretched health systems. We assess the impact of NCD multimorbidity on healthcare utilisation and out-of-pocket expenditures in six middle-income countries: China, Ghana, India, Mexico, Russia and South Africa. Methods Secondary analyses of cross-sectional data from adult participants (>18 years) in the WHO Study on Global Ageing and Adult Health (SAGE) 2007–2010. We used multiple logistic regression to determine socio-demographic correlates of multimorbidity. Association between the number of NCDs and healthcare utilisation as well as out-of-pocket spending was assessed using logistic, negative binominal and log-linear models. Results The prevalence of multimorbidity in the adult population varied from 3∙9% in Ghana to 33∙6% in Russia. Number of visits to doctors in primary and secondary care rose substantially for persons with increasing numbers of co-existing NCDs. Multimorbidity was associated with more outpatient visits in China (coefficient for number of NCD = 0∙56, 95% CI = 0∙46, 0∙66), a higher likelihood of being hospitalised in India (AOR = 1∙59, 95% CI = 1∙45, 1∙75), higher out-of-pocket expenditures for outpatient visits in India and China, and higher expenditures for hospital visits in Russia. Medicines constituted the largest proportion of out-of-pocket expenditures in persons with multimorbidity (88∙3% for outpatient, 55∙9% for inpatient visit in China) in most countries. Conclusion Multimorbidity is associated with higher levels of healthcare utilisation and greater financial burden for individuals in middle-income countries. Our study supports the WHO call for universal health insurance and health service coverage in LMICs, particularly for vulnerable groups such as the elderly with multimorbidity.
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                Author and article information

                Contributors
                lanxin1203@126.com
                +86-18291498261 , zzliang1981@mail.xjtu.edu.cn
                hanshi8860@126.com
                shenchi@outlook.com
                emirada@163.com
                chengang1029@gmail.com
                2648070296@qq.com
                xi.chen.edu@gmail.com
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                20 November 2018
                20 November 2018
                2018
                : 18
                : 871
                Affiliations
                [1 ]ISNI 0000 0001 0599 1243, GRID grid.43169.39, School of Public Health, , Xi’an Jiaotong University Health Science Center, ; No. 76 Yanta West Road, Xi’an, 710061 Shaanxi China
                [2 ]ISNI 0000 0001 0599 1243, GRID grid.43169.39, School of Public Policy and Administration, , Xi’an Jiaotong University, ; No. 28 Xianning West Road, Xi’an, 710049 Shaanxi China
                [3 ]ISNI 0000 0004 1936 7857, GRID grid.1002.3, Center for Health Economics (CHE), , Monash University, ; Melbourne, Australia
                [4 ]ISNI 0000000419368710, GRID grid.47100.32, Department of Health Policy and Management and Department of Economics, , Yale University, ; 60 College Street Suite 301, New Haven, CT 06510 USA
                Author information
                http://orcid.org/0000-0002-0330-8081
                Article
                3698
                10.1186/s12913-018-3698-1
                6245518
                30458772
                7139e1d8-6cba-4cca-a0da-39ec52d26073
                © 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
                : 8 February 2018
                : 8 November 2018
                Funding
                Funded by: the Research Program of Shaanxi Soft Science
                Award ID: 2015KRM117
                Award Recipient :
                Funded by: the Basic Scientific Research Funding of Xi’an Jiaotong University
                Award ID: SK2015007
                Award Recipient :
                Funded by: the National Program for Support of Top-notch Young Professionals and China Medical Board
                Award ID: 15-227
                Award Recipient :
                Funded by: the National Natural Science Foundation
                Award ID: 71874137
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Health & Social care
                china,chronic diseases,health payment-induced poverty,logistic model,nhss
                Health & Social care
                china, chronic diseases, health payment-induced poverty, logistic model, nhss

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