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Development of an Innovative Mobile Phone-Based Newborn Care Training Application

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Innovations in Bio-Inspired Computing and Applications (IBICA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 939))

Abstract

Mobile infrastructure in low - and middle-income countries (LMIC) has shown immense potential to reach the unreachable. Healthcare providers (HCP) are one such group who are at the frontline of the fight against infant mortality in LMICs. Mortality among newborn infants (birth to 28 days) now accounts for around 45% of all under 5-years child mortality. Birth asphyxia is one of the three leading causes of newborn death; neonatal resuscitation training, among health care providers, reduces mortality from birth asphyxia. We have developed a mobile phone-based training app, called mobile Helping Babies Survive (mHBS), to support the training of health care providers on neonatal resuscitation. mHBS is integrated with the District Health Information System (DHIS2) platform, which is used in over 60 countries around the world. The mHBS/DHIS2 training app is a part of an application suite which includes another DHIS2-linked data collection app, mHBS tracker. The mHBS training application has the potential to scale-up integration with other neonatal training apps. Ultimately, the mHBS training suite will provide new insights into healthcare worker education along with the necessary tools for effective care of newborn babies.

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Acknowledgment

We would like to acknowledge the contributions of previous developers of the mHBS/DHIS2 application, in particular, Siva Addepally, Olakunle Oladiran, and Taylor Childers. The work reported in this paper was completed as a partial requirement for an undergraduate Capstone Honors Thesis (Informatics) by Ms. Elisabeth Meyers (Drs. Saptarshi Purkayastha and Sherri Bucher, co-Mentors). Ms. Meyers was awarded “Best Scientific Presentation” for this work by the IUPUI Center for Research and Learning on April 6, 2018. We also acknowledge the support of collaborators from University of Washington, Oxford University, Moi University (Kenya) and University of Lagos (Nigeria), as well as the Bill and Melinda Gates Foundation Funding for this work was provided by two grants from the IUPUI Center for Research and Learning, Multidisciplinary Undergraduate Research Initiative (MURI), to Dr. Sherri Bucher (Summer, 2017; Academic year 2017–2018).

Author information

Authors and Affiliations

  1. Department of Pediatrics, Indiana University School of Medicine, Indianapolis, USA

    Sherri Bucher

  2. School of Informatics and Computing, IUPUI, Indianapoli, USA

    Elizabeth Meyers, Bhavani Singh Agnikula Kshatriya & Saptarshi Purkayastha

  3. Computer and Information Science, IUPUI, Indianapolis, USA

    Prem Chand Avanigadda

Authors
  1. Sherri Bucher
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  2. Elizabeth Meyers
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  3. Bhavani Singh Agnikula Kshatriya
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  4. Prem Chand Avanigadda
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  5. Saptarshi Purkayastha
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Corresponding author

Correspondence to Saptarshi Purkayastha .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

  3. Department of Applied Science and Engineering, Indian Institute of Technology, Roorkee, India

    Millie Pant

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Bucher, S., Meyers, E., Kshatriya, B.S.A., Avanigadda, P.C., Purkayastha, S. (2019). Development of an Innovative Mobile Phone-Based Newborn Care Training Application. In: Abraham, A., Gandhi, N., Pant, M. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2018. Advances in Intelligent Systems and Computing, vol 939. Springer, Cham. https://doi.org/10.1007/978-3-030-16681-6_36

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