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      Towards Universal Health Coverage: An Evaluation of Rwanda Mutuelles in Its First Eight Years

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          Abstract

          Background

          Mutuelles is a community-based health insurance program, established since 1999 by the Government of Rwanda as a key component of the national health strategy on providing universal health care. The objective of the study was to evaluate the impact of Mutuelles on achieving universal coverage of medical services and financial risk protection in its first eight years of implementation.

          Methods and Findings

          We conducted a quantitative impact evaluation of Mutuelles between 2000 and 2008 using nationally-representative surveys. At the national and provincial levels, we traced the evolution of Mutuelles coverage and its impact on child and maternal care coverage from 2000 to 2008, as well as household catastrophic health payments from 2000 to 2006. At the individual level, we investigated the impact of Mutuelles' coverage on enrollees' medical care utilization using logistic regression. We focused on three target populations: the general population, under-five children, and women with delivery. At the household level, we used logistic regression to study the relationship between Mutuelles coverage and the probability of incurring catastrophic health spending. The main limitation was that due to insufficient data, we are not able to study the impact of Mutuelles on health outcomes, such as child and maternal mortalities, directly.

          The findings show that Mutuelles improved medical care utilization and protected households from catastrophic health spending. Among Mutuelles enrollees, those in the poorest expenditure quintile had a significantly lower rate of utilization and higher rate of catastrophic health spending. The findings are robust to various estimation methods and datasets.

          Conclusions

          Rwanda's experience suggests that community-based health insurance schemes can be effective tools for achieving universal health coverage even in the poorest settings. We suggest a future study on how eliminating Mutuelles copayments for the poorest will improve their healthcare utilization, lower their catastrophic health spending, and affect the finances of health care providers.

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          Most cited references30

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          Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review

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            Two-stage residual inclusion estimation: addressing endogeneity in health econometric modeling.

            The paper focuses on two estimation methods that have been widely used to address endogeneity in empirical research in health economics and health services research-two-stage predictor substitution (2SPS) and two-stage residual inclusion (2SRI). 2SPS is the rote extension (to nonlinear models) of the popular linear two-stage least squares estimator. The 2SRI estimator is similar except that in the second-stage regression, the endogenous variables are not replaced by first-stage predictors. Instead, first-stage residuals are included as additional regressors. In a generic parametric framework, we show that 2SRI is consistent and 2SPS is not. Results from a simulation study and an illustrative example also recommend against 2SPS and favor 2SRI. Our findings are important given that there are many prominent examples of the application of inconsistent 2SPS in the recent literature. This study can be used as a guide by future researchers in health economics who are confronted with endogeneity in their empirical work.
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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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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                18 June 2012
                : 7
                : 6
                : e39282
                Affiliations
                [1 ]Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
                [2 ]South Asia Department, Asian Development Bank, Metro Manila, Philippines
                [3 ]Department of Community Health, National University of Rwanda School of Public Health, Kigali, Rwanda
                [4 ]Department of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, United States of America
                [5 ]Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America
                [6 ]Ministry of Health, Government of Rwanda, Kigali, Rwanda
                Groningen Research Institute of Pharmacy, United States of America
                Author notes

                Participating discussion at the beginning of the work: BC PB LH. Conceived and designed the experiments: CL KH MM AB. Analyzed the data: CL BC JLL. Contributed reagents/materials/analysis tools: CL BC AB. Wrote the paper: CL BC PB LH KH MM AB.

                Article
                PONE-D-12-06372
                10.1371/journal.pone.0039282
                3377670
                22723985
                7f9acec1-2342-40da-b7e0-def9a1ac042b
                Lu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 27 February 2012
                : 17 May 2012
                Page count
                Pages: 16
                Categories
                Research Article
                Medicine
                Global Health
                Non-Clinical Medicine
                Health Care Policy
                Health Systems Strengthening
                Health Care Providers
                Health Care Quality
                Health Economics
                Health Services Administration and Management
                Health Services Research
                Social and Behavioral Sciences
                Economics
                Human Capital
                Economics of Health
                Economics of Poverty
                Health Economics

                Uncategorized
                Uncategorized

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