IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02509190.html
   My bibliography  Save this paper

The impact of the obstetrical risk insurance scheme in Mauritania on maternal healthcare utilization: a propensity score matching analysis

Author

Listed:
  • Marion Ravit

    (CEPED - UMR_D 196 - Centre population et développement - IRD - Institut de Recherche pour le Développement - UPCité - Université Paris Cité)

  • Andrainolo Ravalihasy

    (CEPED - UMR_D 196 - Centre population et développement - IRD - Institut de Recherche pour le Développement - UPCité - Université Paris Cité)

  • Martine Audibert

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UCA [2017-2020] - Université Clermont Auvergne [2017-2020] - CNRS - Centre National de la Recherche Scientifique)

  • Valery Ridde

    (CEPED - UMR_D 196 - Centre population et développement - IRD - Institut de Recherche pour le Développement - UPCité - Université Paris Cité)

  • Emmanuel Bonnet

    (IDEES - Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés - UNICAEN - Université de Caen Normandie - NU - Normandie Université - ULH - Université Le Havre Normandie - NU - Normandie Université - UNIROUEN - Université de Rouen Normandie - NU - Normandie Université - CNRS - Centre National de la Recherche Scientifique - IRIHS - Institut de Recherche Interdisciplinaire Homme et Société - UNIROUEN - Université de Rouen Normandie - NU - Normandie Université)

  • Bertille Raffalli

    (CEPED - UMR_D 196 - Centre population et développement - IRD - Institut de Recherche pour le Développement - UPCité - Université Paris Cité)

  • Flore-Apolline Roy
  • Anais N’landu
  • Alexandre Dumont

    (CEPED - UMR_D 196 - Centre population et développement - IRD - Institut de Recherche pour le Développement - UPCité - Université Paris Cité)

Abstract

In Mauritania, obstetrical risk insurance (ORI) has been progressively implemented at the health district level since 2002 and was available in 25% of public healthcare facilities in 2015. The ORI scheme is based on pre-payment scheme principles and focuses on increasing the quality of and access to both maternal and perinatal healthcare. Compared with many community-based health insurance schemes, the ORI scheme is original because it is not based on risk pooling. For a pre-payment of 16–18 USD, women are covered during their pregnancy for antenatal care, skilled delivery, emergency obstetrical care [including caesarean section (C-section) and transfer] and a postnatal visit. The objective of this study is to evaluate the impact of ORI enrolment on maternal and child health services using data from the Multiple Indicator Cluster Survey (MICS) conducted in 2015. A total of 4172 women who delivered within the last 2 years before the interview were analysed. The effect of ORI enrolment on the outcomes was estimated using a propensity score matching estimation method. Fifty-eight per cent of the studied women were aware of ORI, and among these women, more than two-thirds were enrolled. ORI had a beneficial effect among the enrolled women by increasing the probability of having at least one prenatal visit by 13%, the probability of having four or more visits by 11% and the probability of giving birth at a healthcare facility by 15%. However, we found no effect on postnatal care (PNC), C-section rates or neonatal mortality. This study provides evidence that a voluntary pre-payment scheme focusing on pregnant women improves healthcare services utilization during pregnancy and delivery. However, no effect was found on PNC or neonatal mortality. Some efforts should be exerted to improve communication and accessibility to ORI.

Suggested Citation

  • Marion Ravit & Andrainolo Ravalihasy & Martine Audibert & Valery Ridde & Emmanuel Bonnet & Bertille Raffalli & Flore-Apolline Roy & Anais N’landu & Alexandre Dumont, 2020. "The impact of the obstetrical risk insurance scheme in Mauritania on maternal healthcare utilization: a propensity score matching analysis," Post-Print hal-02509190, HAL.
  • Handle: RePEc:hal:journl:hal-02509190
    DOI: 10.1093/heapol/czz150
    Note: View the original document on HAL open archive server: https://hal.science/hal-02509190
    as

    Download full text from publisher

    File URL: https://hal.science/hal-02509190/document
    Download Restriction: no

    File URL: https://libkey.io/10.1093/heapol/czz150?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. David Mark Dror, 2018. "What Factors Affect Voluntary Uptake of Community-based Health Insurance Schemes in Lowand Middle-Income Countries? A Systematic Review and Meta-Analysis," World Scientific Book Chapters, in: Financing Micro Health Insurance Theory, Methods and Evidence, chapter 14, pages 271-306, World Scientific Publishing Co. Pte. Ltd..
    2. James J. Heckman, 1977. "Sample Selection Bias As a Specification Error (with an Application to the Estimation of Labor Supply Functions)," NBER Working Papers 0172, National Bureau of Economic Research, Inc.
    3. Alberto Abadie & Guido W. Imbens, 2016. "Matching on the Estimated Propensity Score," Econometrica, Econometric Society, vol. 84, pages 781-807, March.
    4. Paul J. Gertler & Sebastian Martinez & Patrick Premand & Laura B. Rawlings & Christel M. J. Vermeersch, 2016. "Impact Evaluation in Practice, Second Edition," World Bank Publications - Books, The World Bank Group, number 25030, December.
    5. Agar Brugiavini & Noemi Pace, 2016. "Extending health insurance in Ghana: effects of the National Health Insurance Scheme on maternity care," Health Economics Review, Springer, vol. 6(1), pages 1-10, December.
    6. Anne-Marie Turcotte-Tremblay & Jessica Spagnolo & Manuela De Allegri & Valéry Ridde, 2016. "Does performance-based financing increase value for money in low- and middle- income countries? A systematic review," Health Economics Review, Springer, vol. 6(1), pages 1-18, December.
    7. Robert Kaba Alhassan & Edward Nketiah-Amponsah & Daniel Kojo Arhinful, 2016. "A Review of the National Health Insurance Scheme in Ghana: What Are the Sustainability Threats and Prospects?," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-16, November.
    8. Richard, F. & Witter, S. & De Brouwere, V., 2010. "Innovative approaches to reducing financial barriers to obstetric care in low-income countries," American Journal of Public Health, American Public Health Association, vol. 100(10), pages 1845-1852.
    9. Aline Philibert & Marion Ravit & Valéry Ridde & Inès Dossa & Emmanuel Bonnet & Florent Bédécarrats & Alexandre Dumont, 2017. "Maternal and neonatal health impact of obstetrical risk insurance scheme in Mauritania : a quasi experimental before-and-after study," Post-Print hal-03852218, HAL.
    10. Sahn, David E. & Stifel, David C., 2000. "Poverty Comparisons Over Time and Across Countries in Africa," World Development, Elsevier, vol. 28(12), pages 2123-2155, December.
    11. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    12. Martine Audibert & Emmanuel Bonnet & Alexandre Dumont & A. N'Landu & Bertille Raffalli & Andrainolo Ravalihasy & M. Ravit & Valéry Ridde & Flore Apolline Roy, 2019. "Impacts du forfait obstétrical en Mauritanie sur l'offre, le recours et les inégalités d'accès aux soins : synthèse du rapport final," Post-Print hal-03834803, HAL.
    13. Smith, Kimberly V. & Sulzbach, Sara, 2008. "Community-based health insurance and access to maternal health services: Evidence from three West African countries," Social Science & Medicine, Elsevier, vol. 66(12), pages 2460-2473, June.
    14. Peter C. Austin, 2009. "The Relative Ability of Different Propensity Score Methods to Balance Measured Covariates Between Treated and Untreated Subjects in Observational Studies," Medical Decision Making, , vol. 29(6), pages 661-677, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nicolas Moreau, 2018. "A SAS macro to estimate Average Treatment Effects with Propensity Score Matching," Working Papers hal-01691528, HAL.
    2. Brown, Zachary, 2016. "Voluntary programs to encourage compliance with refuge regulations for pesticide resistance management: results from a quasi-experiment," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 237333, Agricultural and Applied Economics Association.
    3. Arun Advani & Toru Kitagawa & Tymon Słoczyński, 2019. "Mostly harmless simulations? Using Monte Carlo studies for estimator selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 893-910, September.
    4. Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2020. "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany's programmes for long term unemployed," Labour Economics, Elsevier, vol. 65(C).
    5. Veronica Vargas & Sayem Ahmed & Alayne M Adams, 2018. "Factors enabling comprehensive maternal health services in the benefits package of emerging financing schemes: A cross-sectional analysis from 1990 to 2014," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-15, September.
    6. Bagnoli, Lisa, 2019. "Does health insurance improve health for all? Heterogeneous effects on children in Ghana," World Development, Elsevier, vol. 124(C), pages 1-1.
    7. Emmanuel Nshakira-Rukundo & Essa Chanie Mussa & Nathan Nshakira & Nicolas Gerber & Joachim von Braun, 2021. "Impact of community-based health insurance on utilisation of preventive health services in rural Uganda: a propensity score matching approach," International Journal of Health Economics and Management, Springer, vol. 21(2), pages 203-227, June.
    8. Raquel Justo & Emilio Congregado & Concepción Román, 2021. "Becoming self-employed from inactivity: an in-depth analysis of satisfaction," Small Business Economics, Springer, vol. 56(1), pages 145-187, January.
    9. Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2020. "Inferences for Partially Conditional Quantile Treatment Effect Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202005, University of Kansas, Department of Economics, revised Feb 2020.
    10. Pender, John & Reeder, Richard, 2011. "Impacts of Regional Approaches to Rural Development: Initial Evidence on the Delta Regional Authority," Economic Research Report 262240, United States Department of Agriculture, Economic Research Service.
    11. Egana-delSol, Pablo & Contreras, Dante & Valenzuela, Juan Pablo, 2019. "The impact of art-education on human Capital: An empirical assessment of a youth orchestra," International Journal of Educational Development, Elsevier, vol. 71(C).
    12. Raymond Elikplim Kofinti & Josephine Baako-Amponsah & Prince Danso, 2023. "Household National Health Insurance Subscription and Learning Outcomes of Poor Children in Ghana," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 357-394, February.
    13. Lloro, Alicia & Brownstone, David, 2018. "Vehicle choice and utilization: Improving estimation with partially observed choices and hybrid pairs," Journal of choice modelling, Elsevier, vol. 28(C), pages 137-152.
    14. Agnes Quisumbing & Bob Baulch & Neha Kumar, 2011. "Evaluating the long-term impact of anti-poverty interventions in Bangladesh: an overview," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 3(2), pages 153-174.
    15. Bianconi, Marcelo & Tan, Chih Ming, 2019. "Evaluating the instantaneous and medium-run impact of mergers and acquisitions on firm values," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 71-87.
    16. Delgado, Michael S. & Guilfoos, Todd & Boslett, Andrew, 2016. "The cost of unconventional gas extraction: A hedonic analysis," Resource and Energy Economics, Elsevier, vol. 46(C), pages 1-22.
    17. Rezki, Jahen Fachrul, 2018. "Call Your Leader: Does the Mobile Phone Affect Policymaking?," SocArXiv 3s784, Center for Open Science.
    18. John A Maluccio & Tia Palermo & Suneetha Kadiyala & Rahul Rawat, 2015. "Improving Health-Related Quality of Life among People Living with HIV: Results from an Impact Evaluation of a Food Assistance Program in Uganda," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-17, August.
    19. Mebratie, Anagaw D. & Sparrow, Robert & Yilma, Zelalem & Alemu, Getnet & Bedi, Arjun S., 2015. "Enrollment in Ethiopia’s Community-Based Health Insurance Scheme," World Development, Elsevier, vol. 74(C), pages 58-76.
    20. Moretti, Luca & Mayerl, Martin & Mühlemann, Samuel & Schlögl, Peter & Wolter, Stefan C., 2017. "So Similar and Yet So Different: A Comparative Analysis of a Firm's Cost and Benefits of Apprenticeship Training in Austria and Switzerland," IZA Discussion Papers 11081, Institute of Labor Economics (IZA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-02509190. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.