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      Changes in health care utilization and financial protection after integration of the rural and urban social health insurance schemes in Beijing, China

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          Abstract

          Background

          China expanded health coverage to residents in informal economic sectors by the rural new cooperative medical scheme (NCMS) for rural population and urban resident basic medical insurance scheme (URBMI) for non-working urban residents. Fragmentation of resident social health insurance schemes exacerbated the health inequity and China started the integration of urban and rural resident medical insurance schemes since 2016. Beijing finished the insurance integration in 2017 and has been implementing a unified urban and rural resident basic medical insurance scheme (URRBMI) since the beginning of 2018. This study aims to examine changes in health care utilization and financial protection after integration of the rural and urban social health insurance schemes.

          Methods

          We used household survey data from Beijing Health Services Survey in 2013 and 2018. Respondents who were 15 or older and covered by URBMI, NCMS or URRBMI were included in this study. Our study finally included 8,554 individuals in 2013 and 6,973 individuals in 2018, about 70% of which were rural residents in each year. Descriptive analysis was used to compare the healthcare utilization, healthcare expenditure and incidence of catastrophic health expenditure between different groups. A series of two-part regression models were used to analyze the changes of healthcare utilization, healthcare expenditure and incidence of catastrophic health expenditure.

          Results

          From 2013 to 2018, urban–rural disparity in outpatient care utilization seemed widened because urban residents’ utilization of outpatient care increased 131% while rural residents’ utilization only increased 72%; both rural and urban residents’ spending on outpatient care increased about 50%. Utilization of inpatient care changed little and poor residents still used significantly less inpatient care compared with the rich residents. Poor residents still suffered heavily catastrophic health expenditures.

          Conclusion

          From 2013 to 2018, residents’ utilization of healthcare, especially outpatient care, increased in Beijing. Health insurance reforms increased residents’ utilization of healthcare but failed to reduce their healthcare financial burden, especially for poor people. Our study advocates more pro-poor insurance policies and more efforts on the efficiency of health system.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12913-022-08602-1.

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          Most cited references41

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          Household catastrophic health expenditure: a multicountry analysis.

          Health policy makers have long been concerned with protecting people from the possibility that ill health will lead to catastrophic financial payments and subsequent impoverishment. Yet catastrophic expenditure is not rare. We investigated the extent of catastrophic health expenditure as a first step to developing appropriate policy responses. We used a cross-country analysis design. Data from household surveys in 59 countries were used to explore, by regression analysis, variables associated with catastrophic health expenditure. We defined expenditure as being catastrophic if a household's financial contributions to the health system exceed 40% of income remaining after subsistence needs have been met. The proportion of households facing catastrophic payments from out-of-pocket health expenses varied widely between countries. Catastrophic spending rates were highest in some countries in transition, and in certain Latin American countries. Three key preconditions for catastrophic payments were identified: the availability of health services requiring payment, low capacity to pay, and the lack of prepayment or health insurance. People, particularly in poor households, can be protected from catastrophic health expenditures by reducing a health system's reliance on out-of-pocket payments and providing more financial risk protection. Increase in the availability of health services is critical to improving health in poor countries, but this approach could raise the proportion of households facing catastrophic expenditure; risk protection policies would be especially important in this situation.
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            Extending health insurance to the rural population: an impact evaluation of China's new cooperative medical scheme.

            In 2003, China launched a heavily subsidized voluntary health insurance program for rural residents. We combine differences-in-differences with matching methods to obtain impact estimates, using data collected from program administrators, health facilities and households. The scheme has increased outpatient and inpatient utilization, and has reduced the cost of deliveries. But it has not reduced out-of-pocket expenses per outpatient visit or inpatient spell. Out-of-pocket payments overall have not been reduced. We find heterogeneity across income groups and implementing counties. The program has increased ownership of expensive equipment among central township health centers but has had no impact on cost per case.
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              • Article: not found

              Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods

              John Cragg (1971)
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                Author and article information

                Contributors
                qmeng@bjmu.edu.cn
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                3 October 2022
                3 October 2022
                2022
                : 22
                : 1226
                Affiliations
                [1 ]GRID grid.11135.37, ISNI 0000 0001 2256 9319, Department of Health Policy and Management, School of Public Health, , Peking University, ; Beijing, China
                [2 ]GRID grid.11135.37, ISNI 0000 0001 2256 9319, China Center for Health Development Studies, Peking University, ; Beijing, China
                [3 ]Beijing Municipal Health Big Data and Policy Research Center, Beijing, China
                Article
                8602
                10.1186/s12913-022-08602-1
                9528155
                36192795
                3212654c-b5e7-4630-9042-6e195f4ab5f8
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

                History
                : 5 July 2022
                : 26 September 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Health & Social care
                health equity,health insurance,rural health services,reimbursement,risk sharing

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