The Global Network Neonatal Cause of Death algorithm for low‐resource settings

Aim This study estimated the causes of neonatal death using an algorithm for low‐resource areas, where 98% of the world's neonatal deaths occur. Methods We enrolled women in India, Pakistan, Guatemala, the Democratic Republic of Congo, Kenya and Zambia from 2014 to 2016 and tracked their delive...

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Bibliographic Details
Published in:Acta Paediatrica 2017-06, Vol.106 (6), p.904-911
Main Authors: Garces, Ana L., McClure, Elizabeth M., Pérez, Wilton, Hambidge, K Michael, Krebs, Nancy F., Figueroa, Lester, Bose, Carl L., Carlo, Waldemar A., Tenge, Constance, Esamai, Fabian, Goudar, Shivaprasad S., Saleem, Sarah, Patel, Archana B., Chiwila, Melody, Chomba, Elwyn, Tshefu, Antoinette, Derman, Richard J., Hibberd, Patricia L., Bucher, Sherri, Liechty, Edward A., Bauserman, Melissa, Moore, Janet L., Koso‐Thomas, Marion, Miodovnik, Menachem, Goldenberg, Robert L.
Format: Article
Language:English
Subjects:
Algorithms
Asphyxia
Cause of Death
Congenital anomalies
Congenital defects
Death
Developing Countries
Fatalities
Female
Global Network Cause of Death algorithm
Humans
Infant
Infant Mortality
Infant, Newborn
Infection
Low‐ to middle‐income countries
Neonatal mortality
Neonates
Pregnancy
Preterm birth
Public health
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Summary:Aim This study estimated the causes of neonatal death using an algorithm for low‐resource areas, where 98% of the world's neonatal deaths occur. Methods We enrolled women in India, Pakistan, Guatemala, the Democratic Republic of Congo, Kenya and Zambia from 2014 to 2016 and tracked their delivery and newborn outcomes for up to 28 days. Antenatal care and delivery symptoms were collected using a structured questionnaire, clinical observation and/or a physical examination. The Global Network Cause of Death algorithm was used to assign the cause of neonatal death, analysed by country and day of death. Results One‐third (33.1%) of the 3068 neonatal deaths were due to suspected infection, 30.8% to prematurity, 21.2% to asphyxia, 9.5% to congenital anomalies and 5.4% did not have a cause of death assigned. Prematurity and asphyxia‐related deaths were more common on the first day of life (46.7% and 52.9%, respectively), while most deaths due to infection occurred after the first day of life (86.9%). The distribution of causes was similar to global data reported by other major studies. Conclusion The Global Network algorithm provided a reliable cause of neonatal death in low‐resource settings and can be used to inform public health strategies to reduce mortality.
ISSN:0803-5253
1651-2227
DOI:10.1111/apa.13805