When Helping Babies Breathe Is Not Enough: Designing a Novel, Mid-Level Neonatal Resuscitation Algorithm for Médecins Sans Frontières Field Teams Working in Low-Resource Hospital Settings

Abstract

Background: Neonatal resuscitation (NR) combines a set of life-saving interventions in order to stabilize compromised newborns at birth or when critically ill. Médecins Sans Frontières/Doctors Without Borders (MSF), as an international medical-humanitarian organization working particularly in low-resource settings (LRS), assisted over 250,000 births in obstetric and newborn care aid projects in 2016 and provides thousands of newborn resuscitations annually. The Helping Babies Breathe (HBB) program has been used as formal guidance for basic resuscitation since 2012. However, in some MSF projects with the capacity to provide more advanced NR interventions but a lack of adapted guidance, staff have felt prompted to create their own advanced algorithms, which runs counter to the organization’s aim for standardized protocols in all aspects of its care. Objectives: The aim is to close a significant gap in neonatal care provision in LRS by establishing consensus on a protocol that would guide MSF field teams in their practice of more advanced NR. Methods: An independent committee of international experts was formed and met regularly from June 2016 to agree on the content and design of a new NR algorithm. Results: Consensus was reached on a novel, mid-level NR algorithm in April 2017. The algorithm was accepted for use by MSF Operational Center Paris. Conclusion: This paper contributes to the literature on decision-making in the development of cognitive aids. The authors also highlight how critical gaps in healthcare delivery in LRS can be addressed, even when there is limited evidence to guide the process.