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      The impact of health insurance on maternal health care utilization: evidence from Ghana, Indonesia and Rwanda

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          Abstract

          While research has assessed the impact of health insurance on health care utilization, few studies have focused on the effects of health insurance on use of maternal health care. Analyzing nationally representative data from the Demographic and Health Surveys (DHS), this study estimates the impact of health insurance status on the use of maternal health services in three countries with relatively high levels of health insurance coverage—Ghana, Indonesia and Rwanda. The analysis uses propensity score matching to adjust for selection bias in health insurance uptake and to assess the effect of health insurance on four measurements of maternal health care utilization: making at least one antenatal care visit; making four or more antenatal care visits; initiating antenatal care within the first trimester and giving birth in a health facility. Although health insurance schemes in these three countries are mostly designed to focus on the poor, coverage has been highly skewed toward the rich, especially in Ghana and Rwanda. Indonesia shows less variation in coverage by wealth status. The analysis found significant positive effects of health insurance coverage on at least two of the four measures of maternal health care utilization in each of the three countries. Indonesia stands out for the most systematic effect of health insurance across all four measures. The positive impact of health insurance appears more consistent on use of facility-based delivery than use of antenatal care. The analysis suggests that broadening health insurance to include income-sensitive premiums or exemptions for the poor and low or no copayments can increase use of maternal health care.

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          An Introduction to Sample Selection Bias in Sociological Data

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            Methods for constructing and assessing propensity scores.

            To model the steps involved in preparing for and carrying out propensity score analyses by providing step-by-step guidance and Stata code applied to an empirical dataset.
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              Towards Universal Health Coverage: An Evaluation of Rwanda Mutuelles in Its First Eight Years

              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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                Author and article information

                Journal
                Health Policy Plan
                Health Policy Plan
                heapol
                Health Policy and Planning
                Oxford University Press
                0268-1080
                1460-2237
                April 2017
                04 October 2016
                04 October 2016
                : 32
                : 3
                : 366-375
                Affiliations
                [1 ]International Health and Development Division, ICF International, Rockville, MD, USA
                [2 ]Avenir Health, Glastonbury, CT, USA
                Author notes
                [* ]Corresponding author. International Health and Development Division, ICF, 530 Gaither Road, Suite 500, Rockville, MA, USA. E-mail: wenjuan.wang@ 123456icf.com
                Article
                czw135
                10.1093/heapol/czw135
                5400062
                28365754
                776d5c98-6361-4045-abee-bd8217869ede
                © The Author 2016. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 22 August 2016
                Page count
                Pages: 10
                Funding
                Funded by: United States Agency for International Development (USAID) through the DHS Program
                Award ID: #AID-OAA-C-13-00095
                Categories
                Original Articles

                Social policy & Welfare
                ghana,health insurance,impact evaluation,indonesia,maternal health care,rwanda
                Social policy & Welfare
                ghana, health insurance, impact evaluation, indonesia, maternal health care, rwanda

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