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Updated: Jun 29, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
Four million newborn deaths: is the global research agenda evidence-based?
Joy E Lawn1, Igor Rudan, Craig Rubens
1Senior Research and Policy Advisor, Saving Newborn Lives, Save the Children-US, South Africa. joylawn@yahoo.co.uk
Insights
Millions of newborns die annually, primarily in low-income nations. Prioritizing newborn research investment and capacity building in underserved regions is crucial for reducing neonatal mortality and morbidity globally.
Area of Science:
- Global Health
- Neonatal Research
- Public Health Policy
Background:
- Neonatal mortality remains a significant global health challenge, with an estimated four million deaths annually, predominantly in low-income countries.
- Despite the high burden, research investment in neonatal health is disproportionately low, particularly in regions like South Asia and sub-Saharan Africa, which bear 75% of the global burden.
- Current research priorities do not fully align with the epidemiological evidence, which highlights the need to focus on the poorest families, critical periods like birth, and major causes such as infections, preterm birth, and asphyxia.
Purpose of the Study:
- To address the critical gap between the burden of neonatal mortality and morbidity and the current research investment and priorities.
- To propose a structured approach for prioritizing newborn research, focusing on a research pipeline from description to scale-up delivery.
- To advocate for the development of a "people pipeline" to build essential research capacity in low-income countries.
Main Methods:
- Review of epidemiological evidence to identify key areas for newborn research prioritization.
- Proposal of a systematic research pipeline model: description, discovery, development, and delivery with scale-up.
- Introduction of a quantitative scoring system for transparent and systematic research prioritization.
- Emphasis on the necessity of a parallel "people pipeline" for capacity building.
Main Results:
- Identified a significant mismatch between the global burden of neonatal mortality/morbidity and the allocation of research funding.
- Highlighted the inadequacy of current research investment in low-income countries, which face the highest mortality rates.
- Proposed a comprehensive framework for research prioritization and capacity building to address global neonatal health inequities.
Conclusions:
- Urgent reallocation of research funding and strategic prioritization are necessary to effectively combat neonatal mortality and morbidity.
- Implementing a structured research pipeline and investing in local research capacity are essential for equitable global health outcomes.
- A concerted, globally coordinated effort is required to ensure that newborn research benefits the most vulnerable populations and reduces preventable deaths.
Abstract:
Four million neonates die each year. These deaths are mostly in low-income countries, but neonatal mortality and morbidity are also a priority burden in high-income countries. Epidemiological evidence suggests newborn research would prioritise the poorest families; birth and the first days of life; major causes particularly infections, preterm birth and asphyxia; and include preventive strategies as well as improved care. However research investment is not commensurate to burden, and there is a mismatch with current research priorities. South Asia and sub Saharan Africa, with 75% of the burden, expend around US$20 million per year on newborn research, a fraction of what is spent on a smaller proportion of health problem in rich countries. We propose a research pipeline of description, discovery, development of solutions and delivery of research with scale-up to reach the poorest families. Listing research options and applying quantitative scoring enables systematic, transparent research prioritisation. As well as a research pipeline, a "people pipeline" is required to generate research capacity in low-income countries.
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