A new model developed by researchers can more accurately and efficiently assess which children are at the highest risk of preventable death.
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‘Identifying at risk children as those in the 20% poorest will miss the majority of children who could benefit from health policy interventions.’
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One of UN's Sustainable Development Goals aims to see a substantial reduction in preventable deaths for children five and younger by 2030. 
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However, recent studies have shown that multiple risk factors are implicated in under-5 mortality, and program targeting based purely on poverty can be inefficient.
A new and more comprehensive model developed by Ramos and colleagues used data from multiple demographic variables to measure mortality inequities and identify high-risk subpopulations of kids that would otherwise be left behind.
The authors used data on 1,691,039 births from 182 different surveys across 67 low- and middle-income countries (LMIC). After estimating each child's mortality risk in the dataset, the authors went on to quantify mortality risk within and between socioeconomic groups and describe the highest-risk sub-populations.
Study Results
- More variability in mortality within socioeconomic groups than between them--and within countries observed.
- Socioeconomic membership explained less than 20% of the variation in mortality risk.
- The highest-risk births are from mothers in the lowest socioeconomic group, live in rural areas, and/or already experienced the death of a previous child.
- Poverty is linked to an increased risk in mortality.
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