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Grollman C, Arregoces L, Martinez-Alvarez M, et al. Developing a dataset to track aid for reproductive, maternal, newborn and child health, 2003-2013. Sci Data. 2017;4:170038doi: 10.1038/sdata.2017.38.
Grollman, C., Arregoces, L., Martinez-Alvarez, M., Pitt, C., Powell-Jackson, T., Hsu, J., Greco, G., & Borghi, J. (2017). Developing a dataset to track aid for reproductive, maternal, newborn and child health, 2003-2013. Scientific data, 4170038. https://doi.org/10.1038/sdata.2017.38
Grollman, Christopher, et al. "Developing a dataset to track aid for reproductive, maternal, newborn and child health, 2003-2013." Scientific data vol. 4 (2017): 170038. doi: https://doi.org/10.1038/sdata.2017.38
Grollman C, Arregoces L, Martinez-Alvarez M, Pitt C, Powell-Jackson T, Hsu J, Greco G, Borghi J. Developing a dataset to track aid for reproductive, maternal, newborn and child health, 2003-2013. Sci Data. 2017 Mar 28;4:170038. doi: 10.1038/sdata.2017.38. PMID: 28350378; PMCID: PMC5369316.
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Sci Data. 2017 Mar 28;4:170038. doi: 10.1038/sdata.2017.38.

Developing a dataset to track aid for reproductive, maternal, newborn and child health, 2003-2013.

Scientific data

Christopher Grollman, Leonardo Arregoces, Melisa Martinez-Alvarez, Catherine Pitt, Timothy Powell-Jackson, Justine Hsu, Giulia Greco, Josephine Borghi

Affiliations

  1. Department of Global Health and Development, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London WC1H 9SH, UK.
  2. Department of Health Systems Governance and Financing, World Health Organization, 20 avenue Appia, 1211 Geneva 27, Switzerland.

PMID: 28350378 PMCID: PMC5369316 DOI: 10.1038/sdata.2017.38

Abstract

We created a dataset to generate estimates of donor-reported 'official development assistance' and private grants (ODA+) to reproductive, maternal, newborn and child health (RMNCH) by donor, recipient country and activity type over the period 2003-2013. We collected disbursement information from the Organisation for Economic Co-operation and Development Creditor Reporting System (CRS) in January 2015. All 2.1 million records across all sectors were coded based on donor name, project title, short and long descriptions, and CRS code describing the purpose of the disbursement. We classified records according to the degree to which they would promote attainment of Millennium Development Goals 4 and 5 (reproductive and sexual health, maternal and newborn health, and child health). We also classified records according to whether they supported prenatal and neonatal health (PNH). The dataset includes project funding as well as allocating shares of general budget support, health sector support and basket funding. The data can be used to analyse resource flows to RMNCH or to other purposes or beneficiaries of ODA+.

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