title: Using the lives saved tool (LiST) to model mHealth impact on neonatal survival in resource-limited settings.
abstract: 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.
authors.affiliation: Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America; Johns Hopkins University Global mHealth Initiative, Baltimore, Maryland, United States of America.
authors.forename: Youngji
authors.initials: Y
authors.lastname: Jo
authors.affiliation: Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America; Johns Hopkins University Global mHealth Initiative, Baltimore, Maryland, United States of America.
authors.forename: Alain B
authors.initials: AB
authors.lastname: Labrique
authors.affiliation: Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America; Johns Hopkins University Global mHealth Initiative, Baltimore, Maryland, United States of America.
authors.forename: Amnesty E
authors.initials: AE
authors.lastname: Lefevre
authors.affiliation: World Health Organization, Department of Reproductive Health and Research, Geneva, Switzerland.
authors.forename: Garrett
authors.initials: G
authors.lastname: Mehl
authors.affiliation: Johns Hopkins University Global mHealth Initiative, Baltimore, Maryland, United States of America; Department of Community Public Health, Johns Hopkins School of Nursing, Baltimore, Maryland, United States of America.
authors.forename: Teresa
authors.initials: T
authors.lastname: Pfaff
authors.affiliation: Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
authors.forename: Neff
authors.initials: N
authors.lastname: Walker
authors.affiliation: Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
authors.forename: Ingrid K
authors.initials: IK
authors.lastname: Friberg
mesh_terms: D001459:Bangladesh; D002648:Child; D036861:Delivery, Obstetric / Q000193:education / Q000534:rehabilitation*; D003906:Developing Countries; D005260:Female; D006801:Humans; D007223:Infant; D007226:Infant Mortality / Q000208:ethnology / Q000639:trends*; D007231:Infant, Newborn; D008427:Maternal Health Services / Q000458:organization & administration / Q000706:statistics & numerical data*; D011247:Pregnancy; D012984:Software; D017216:Telemedicine / Q000458:organization & administration / Q000706:statistics & numerical data*; D014454:Uganda