Using the lives saved tool (LiST) to model mHealth impact on neonatal survival in resource-limited settings.
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Date
2014-07-12
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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
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Keywords
Newborn, Infant, Timeliness of care, Maternal health, Pregnancy, Antenatal care, Birth planning, Postpartum care, Social and behavior change communication, Health education or promotion, Community-based health worker, Breastfeeding, Newborn care, SMS, Text, Conditional cash transfers, Appointment reminders