Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
general
Using the Lives Saved Tool (LiST) to model mHealth impact on neonatal survival in resource-limited settings
PLoS ONE, Volume 9, No. 7, Article e102224, Year 2014
Notification
URL copied to clipboard!
Description
While the importance of mHealth scale-up has been broadly emphasized in the mHealth community, it is necessary to guide scale up efforts and investment in ways to help achieve the mortality reduction targets set by global calls to action such as the Millennium Development Goals, not merely to expand programs. We used the Lives Saved Tool (LiST)-an evidence-based modeling software-to identify priority areas for maternal and neonatal health services, by formulating six individual and combined interventions scenarios for two countries, Bangladesh and Uganda. Our findings show that skilled birth attendance and increased facility delivery as targets for mHealth strategies are likely to provide the biggest mortality impact relative to other intervention scenarios. Although further validation of this model is desirable, tools such as LiST can help us leverage the benefit of mHealth by articulating the most appropriate delivery points in the continuum of care to save lives. © 2014 Jo et al.
Available Materials
https://efashare.b-cdn.net/share/pmc/articles/PMC4094557/bin/pone.0102224.s001.docx
https://efashare.b-cdn.net/share/pmc/articles/PMC4094557/bin/pone.0102224.s002.xlsx
Authors & Co-Authors
Jo, Youngji
United States, Baltimore
Johns Hopkins Bloomberg School of Public Health
United States, Baltimore
Johns Hopkins University
Labrique, Alain Bernard
United States, Baltimore
Johns Hopkins Bloomberg School of Public Health
United States, Baltimore
Johns Hopkins University
LeFevre, Amnesty E.
United States, Baltimore
Johns Hopkins Bloomberg School of Public Health
United States, Baltimore
Johns Hopkins University
Mehl, Garrett Livingston
Switzerland, Geneva
Organisation Mondiale de la Santé
Walker, Neff P.
United States, Baltimore
Johns Hopkins Bloomberg School of Public Health
Friberg, Ingrid K.
United States, Baltimore
Johns Hopkins Bloomberg School of Public Health
Statistics
Citations: 39
Authors: 6
Affiliations: 4
Identifiers
Doi:
10.1371/journal.pone.0102224
ISSN:
19326203
Research Areas
Health System And Policy
Maternal And Child Health
Study Design
Randomised Control Trial
Study Locations
Uganda