Differentiating mortality risk of individual infants and children to improve survival: opportunity for impact
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Updated: Jun 18, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
James A Berkley1, Judd L Walson2, Rajiv Bahl3
1Kenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK.
Insights
Child survival varies significantly due to factors like birth events, nutrition, and infections. Current public health programs need to better identify high-risk infants and allocate resources efficiently to reduce child mortality rates.
Area of Science:
- Global child health
- Public health interventions
- Neonatal mortality research
Background:
- Child survival is not uniform at birth, with highest risks in the perinatal period.
- Mortality is influenced by perinatal events, nutrition, infections, environment, and health services.
- Current public health programs inadequately address the spectrum of child mortality risks.
Purpose of the Study:
- To highlight the need for improved strategies in child survival programs.
- To advocate for a differentiated approach to care based on risk magnitude.
- To address the slowing declines in global child mortality rates.
Main Methods:
- Analysis of global child mortality trends.
- Review of current public health program effectiveness.
- Identification of resource allocation inefficiencies in healthcare.
Main Results:
- High-risk children are underidentified and undertreated.
- Low-risk children receive excessive care, straining resources.
- Global efforts to reduce neonatal and under-5 mortality are off track in numerous countries.
Conclusions:
- A paradigm shift is necessary to meet Sustainable Development Goals for child survival.
- Healthcare systems must become more efficient in addressing residual child mortality.
- Targeted interventions are crucial for improving care, survival, and development in resource-poor settings.
Abstract:
Children are not born equal in their likelihood of survival. The risk of mortality is highest during and shortly after birth. In the immediate postnatal period and beyond, perinatal events, nutrition, infections, family and environmental exposures, and health services largely determine the risk of death. We argue that current public health programmes do not fully acknowledge this spectrum of risk or respond accordingly. As a result, opportunities to improve the care, survival, and development of children in resource-poor settings are overlooked. Children at high risk of mortality are underidentified and commonly treated using guidelines that do not differentiate care according to the magnitude or drivers of those risks. Children at low risk of mortality are often provided with more intensive care than needed, disproportionately using limited health-care resources with minimal or no benefits. Declines in newborn, infant, and child mortality rates globally are slowing, and further reductions are likely to be incrementally more difficult to achieve once simple, high impact interventions have been universally implemented. Currently, 63 countries have rates of neonatal mortality that are off track to meet the Sustainable Development Goal 2030 target of 12 deaths per 1000 livebirths or less, and 54 countries have rates of mortality in children younger than 5 years that are off track to meet the target of 25 deaths per 1000 livebirths or less. If these targets are to be met, a change of approach is needed to address infant and child mortality and for health-care systems to more efficiently address residual mortality.
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