Skip to main content

Main menu

  • Content
    • Current Issue
    • Advance Access
    • Archive
    • Supplements
    • Topic Collections
  • For Authors
    • Instructions for Authors
    • Submit Manuscript
    • Supplements
  • About
    • About GHSP
    • Editorial Team
    • Advisory Board
    • FAQs
    • Instructions for Reviewers
  • Webinars
    • Local Voices Webinar
    • Connecting Creators and Users of Knowledge
    • Publishing About Programs in GHSP
  • Other Useful Sites
    • GH eLearning
    • GHJournal Search

User menu

  • My Alerts

Search

  • Advanced search
Global Health: Science and Practice
  • Other Useful Sites
    • GH eLearning
    • GHJournal Search
  • My Alerts

Global Health: Science and Practice

Dedicated to what works in global health programs

Advanced Search

  • Content
    • Current Issue
    • Advance Access
    • Archive
    • Supplements
    • Topic Collections
  • For Authors
    • Instructions for Authors
    • Submit Manuscript
    • Supplements
  • About
    • About GHSP
    • Editorial Team
    • Advisory Board
    • FAQs
    • Instructions for Reviewers
  • Webinars
    • Local Voices Webinar
    • Connecting Creators and Users of Knowledge
    • Publishing About Programs in GHSP
  • Alerts
  • Visit GHSP on Facebook
  • Follow GHSP on Twitter
  • RSS
  • Find GHSP on LinkedIn
ORIGINAL ARTICLE
Open Access

Maternal and Neonatal Directed Assessment of Technologies (MANDATE): Methods and Assumptions for a Predictive Model for Maternal, Fetal, and Neonatal Mortality Interventions

Bonnie Jones-Hepler, Katelin Moran, Jennifer Griffin, Elizabeth M McClure, Doris Rouse, Carolina Barbosa, Emily MacGuire, Elizabeth Robbins and Robert L Goldenberg
Global Health: Science and Practice December 2017, 5(4):571-580; https://doi.org/10.9745/GHSP-D-16-00174
Bonnie Jones-Hepler
aRTI International, Research Triangle Park, NC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: bonniehepler@rti.org
Katelin Moran
aRTI International, Research Triangle Park, NC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jennifer Griffin
aRTI International, Research Triangle Park, NC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elizabeth M McClure
aRTI International, Research Triangle Park, NC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Doris Rouse
aRTI International, Research Triangle Park, NC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Carolina Barbosa
aRTI International, Research Triangle Park, NC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Emily MacGuire
aRTI International, Research Triangle Park, NC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elizabeth Robbins
aRTI International, Research Triangle Park, NC, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert L Goldenberg
bDepartment of Obstetrics and Gynecology, Columbia University, New York, NY, USA.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
PreviousNext
  • Article
  • Figures & Tables
  • Info & Metrics
  • Comments
  • PDF
Loading
Submit a Comment to This Article
Compose eLetter

More information about text formats

Plain text

  • No HTML tags allowed.
  • Web page addresses and e-mail addresses turn into links automatically.
  • Lines and paragraphs break automatically.
Author Information
First or given name, e.g. 'Peter'.
Your last, or family, name, e.g. 'MacMoody'.
Your email address, e.g. higgs-boson@gmail.com
Your role and/or occupation, e.g. 'Orthopedic Surgeon'.
Your organization or institution (if applicable), e.g. 'Royal Free Hospital'.
Statement of Competing Interests

Vertical Tabs

Jump to comment:

No comments have been published for this article.
PreviousNext
Back to top

In this issue

Global Health: Science and Practice: 5 (4)
Global Health: Science and Practice
Vol. 5, No. 4
December 28, 2017
  • Table of Contents
  • About the Cover
  • Index by Author
  • Complete Issue (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about Global Health: Science and Practice.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Maternal and Neonatal Directed Assessment of Technologies (MANDATE): Methods and Assumptions for a Predictive Model for Maternal, Fetal, and Neonatal Mortality Interventions
(Your Name) has forwarded a page to you from Global Health: Science and Practice
(Your Name) thought you would like to see this page from the Global Health: Science and Practice web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Maternal and Neonatal Directed Assessment of Technologies (MANDATE): Methods and Assumptions for a Predictive Model for Maternal, Fetal, and Neonatal Mortality Interventions
Bonnie Jones-Hepler, Katelin Moran, Jennifer Griffin, Elizabeth M McClure, Doris Rouse, Carolina Barbosa, Emily MacGuire, Elizabeth Robbins, Robert L Goldenberg
Global Health: Science and Practice Dec 2017, 5 (4) 571-580; DOI: 10.9745/GHSP-D-16-00174

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Maternal and Neonatal Directed Assessment of Technologies (MANDATE): Methods and Assumptions for a Predictive Model for Maternal, Fetal, and Neonatal Mortality Interventions
Bonnie Jones-Hepler, Katelin Moran, Jennifer Griffin, Elizabeth M McClure, Doris Rouse, Carolina Barbosa, Emily MacGuire, Elizabeth Robbins, Robert L Goldenberg
Global Health: Science and Practice Dec 2017, 5 (4) 571-580; DOI: 10.9745/GHSP-D-16-00174
del.icio.us logo Digg logo Reddit logo Twitter logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Statistics from Altmetric.com

Jump to section

  • Article
    • Abstract
    • BACKGROUND
    • METHODS FOR DEVELOPING THE MANDATE MODEL
    • DISCUSSION
    • CONCLUSIONS
    • Acknowledgments
    • Notes
    • REFERENCES
  • Figures & Tables
  • Info & Metrics
  • Comments
  • PDF

Related Articles

  • Modeling Outputs Can Be Valuable When Uncertainty Is Appropriately Acknowledged, but Misleading When Not
  • PubMed
  • Google Scholar

Cited By...

  • Evaluating WHO-Recommended Interventions for Preterm Birth: A Mathematical Model of the Potential Reduction of Preterm Mortality in Sub-Saharan Africa
  • Google Scholar

More in this TOC Section

  • Coverage and Drivers to Reaching the Last Child With Vaccination in Urban Settings: A Mixed-Methods Study in Kampala, Uganda
  • Calculating the Cost and Financing Needs of the Basic Package of Health Services in Afghanistan: Methods, Experiences, and Results
  • Stakeholders’ Perspectives on the Application of New Diagnostic Devices for Urinary Schistosomiasis in Oyo State, Nigeria: A Q-Methodology Approach
Show more ORIGINAL ARTICLE

Similar Articles

Subjects

  • Health Topics
    • Maternal, Newborn, and Child Health
US AIDJohns Hopkins Center for Communication ProgramsUniversity of Alberta

Follow Us On

  • Twitter
  • Facebook
  • LinkedIn
  • RSS

Articles

  • Current Issue
  • Advance Access Articles
  • Past Issues
  • Topic Collections
  • Most Read Articles
  • Supplements

More Information

  • Submit a Paper
  • Instructions for Authors
  • Instructions for Reviewers
  • GH Journals Database

About

  • About GHSP
  • Advisory Board
  • FAQs
  • Privacy Policy
  • Contact Us

© 2022 Creative Commons Attribution 4.0 International License. ISSN: 2169-575X

Powered by HighWire