IDEAS home Printed from https://ideas.repec.org/a/igg/jsda00/v8y2019i1p94-111.html
   My bibliography  Save this article

Scaling the Maternal and Newborn Survival Initiative (MANSI): Rural India

Author

Listed:
  • Deepa Fernandes Prabhu

    (Massachusetts Institute of Technology, Cambridge, USA)

  • Richard C. Larson

    (Massachusetts Institute of Technology, Cambridge, USA)

Abstract

The infant mortality rate (IMR) and maternal mortality ratio (MMR) are unacceptably high in many parts of rural India. This article focuses on a system analysis approach to the best practices for scaling and replicating of maternal and newborn survival initiative (MANSI), a field-tested pilot program for addressing high IMRs and MMRs. A system dynamics model of the village birthing system is used to understand the resources needed for the viability of scaling or replication, is constructed and incorporated in the analysis. The MANSI program is a public and private partnership between a few key players. Implemented in the Seraikela area of India's Jharkhand state, the program has achieved a 32.7% reduction in neonatal mortality, a 26.5% reduction in IMR, and a 50% increase in hospital births, which tend to have better health outcomes for women and newborns. The authors conclude with a discussion of the prospects for and difficulties of replicating MANSI in other resource-constrained areas, not only in India but in other developing countries as well.

Suggested Citation

  • Deepa Fernandes Prabhu & Richard C. Larson, 2019. "Scaling the Maternal and Newborn Survival Initiative (MANSI): Rural India," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 8(1), pages 94-111, January.
  • Handle: RePEc:igg:jsda00:v:8:y:2019:i:1:p:94-111
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSDA.2019010106
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:jsda00:v:8:y:2019:i:1:p:94-111. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.