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      Extending health insurance to the poor in India: An impact evaluation of Rashtriya Swasthya Bima Yojana on out of pocket spending for healthcare

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          Abstract

          India launched the ‘Rashtriya Swasthya Bima Yojana’ (RSBY) health insurance scheme for the poor in 2008. Utilising 3 waves (1999–2000, 2004–05 and 2011–12) of household level data from nationally representative surveys of the National Sample Survey Organisation (NSSO) (N = 346,615) and district level RSBY administrative data on enrolment, we estimated causal effects of RSBY on out-of-pocket expenditure. Using ‘difference-in-differences’ methods on households in matched districts we find that RSBY did not affect the likelihood of inpatient out-of-pocket spending, the level of inpatient out of pocket spending or catastrophic inpatient spending. We also do not find any statistically significant effect of RSBY on the level of outpatient out-of-pocket expenditure and the probability of incurring outpatient expenditure. In contrast, the likelihood of incurring any out of pocket spending (inpatient and outpatient) rose by 30% due to RSBY and was statistically significant. Although out of pocket spending levels did not change, RSBY raised household non-medical spending by 5%. Overall, the results suggest that RSBY has been ineffective in reducing the burden of out-of-pocket spending on poor households.

          Highlights

          • RSBY has no effects in reducing probability of incurring and level of inpatient expenditure.

          • Probability of catastrophic inpatient expenditure declined only marginally.

          • Probability of incurring of total out-of-pocket expenditure increased by 30%.

          • Non-medical expenditure of households increased by 6% after the RSBY intervention.

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          Most cited references28

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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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            Health insurance and the demand for medical care: evidence from a randomized experiment.

            We estimate how cost sharing, the portion of the bill the patient pays, affects the demand for medical services. The data come from a randomized experiment. A catastrophic insurance plan reduces expenditures 31 percent relative to zero out-of-pocket price. The price elasticity is approximately -0.2. We reject the hypothesis that less favorable coverage of outpatient services increases total expenditure (for example, by deterring preventive care or inducing hospitalization).
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              Can insurance increase financial risk? The curious case of health insurance in China.

              We analyze the effect of insurance on the probability of an individual incurring 'high' annual health expenses using data from three household surveys. All come from China, a country where providers are paid fee-for-service according to a schedule that encourages the overprovision of high-tech care and who are only lightly regulated. We define annual spending as 'high' if it exceeds a threshold of local average income and as 'catastrophic' if it exceeds a threshold of the household's own per capita income. Our estimates allow for different thresholds and for the possible endogeneity of health insurance (we use instrumental variables and fixed effects). Our main results suggest that in all three surveys health insurance increases the risk of high and catastrophic spending. Further analysis suggests that this is due to insurance encouraging people to seek care when sick and to seek care from higher-level providers.
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                Author and article information

                Contributors
                Journal
                Soc Sci Med
                Soc Sci Med
                Social Science & Medicine (1982)
                Pergamon
                0277-9536
                1873-5347
                1 May 2017
                May 2017
                : 181
                : 83-92
                Affiliations
                [a ]Indian Institute of Public Health Delhi (IIPHD), Public Health Foundation of India, Delhi NCR, India
                [b ]Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Harvard University, Boston, USA
                [c ]Nossal Institute for Global Health, University of Melbourne, Melbourne, Australia
                Author notes
                []Corresponding author. Indian Institute of Public Health Delhi (IIPHD), Plot No. 47, Sector 44, Institutional Area, Gurgaon, Delhi NCR 122002, India.Indian Institute of Public Health Delhi (IIPHD)Plot No. 47Sector 44Institutional AreaGurgaonDelhi NCR122002India anup.karan@ 123456iiphd.org
                Article
                S0277-9536(17)30207-1
                10.1016/j.socscimed.2017.03.053
                5408909
                28376358
                17facffe-9476-4d36-be52-66f77cbbdbda
                © 2017 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 14 May 2016
                : 16 March 2017
                : 24 March 2017
                Categories
                Article

                Health & Social care
                india,health insurance,rsby,impact evaluation,financial burden
                Health & Social care
                india, health insurance, rsby, impact evaluation, financial burden

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