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The Global Network Neonatal Cause of Death algorithm for low‐resource settings
Author(s) -
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.,
KosoThomas Marion,
Miodovnik Menachem,
Goldenberg Robert L.
Publication year - 2017
Publication title -
acta paediatrica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 115
eISSN - 1651-2227
pISSN - 0803-5253
DOI - 10.1111/apa.13805
Subject(s) - medicine , asphyxia , neonatal death , cause of death , pediatrics , maternal death , infant mortality , public health , environmental health , pregnancy , population , disease , fetus , nursing , biology , genetics
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.