Asploro Journal of Pediatrics and Child Health
Article Type: Original Article
Asp J Pediatrics Child Health. 2021 Feb 02;2(3):72-79
Ibrahim AS1, Salama H1*, Al-Obiedly S1, Al-Rifai H1, Al-Qubaisi M1
1Women Wellness and Research Center, Hamad Medical Corporation, Doha, Qatar
Corresponding Author: Husam Salama ORCID iD
Address: Senior Neonatologist, Women wellness and research center, Hamad Medical Corporation, Doha Qatar.
Received date: 28 December 2020; Accepted date: 25 January 2021; Published date: 02 February 2021
Citation: Ibrahim AS, Salama H, Al-Obiedly S, Al-Rifai H, Al-Qubaisi M. Socioeconomic Risk Factors for Hospital-based Neonatal Death: A Population-based Study. Asp J Pediatrics Child Health. 2021 Feb 02;2(3):72-79.
Copyright © 2021 Ibrahim AS, Salama H, Al-Obiedly S, Al-Rifai H, Al-Qubaisi M. This is an open-access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Socioeconomic, Hospital Neonatal Death, Maternal, Newborn, Outcome
Abbreviation: NND: Neonatal Death; AL: Alife
Introduction: The aim of this study to review the socioeconomic determinants of neonatal death compared to living infants in a multinational’s population.
Methods: A retrospective data analysis of 58,990 births. Population-based Cohort study retrieved from the perinatal registry for the 4 years period. We compared socio-economic factors in cases of neonatal death [NND] who died in the hospital with infants who have discharged alive from the hospital [AL]. Socioeconomic factors including nationality, religion, marital status, level of education, parents’ occupation, family income, consanguinity, early childbearing, smoking, assisted conception, antenatal care, and place of delivery.
Results: There were 336 cases of ND and 58,654 of AL. The prevalence of NND was 5.7/1000 births. There were more neonatal deaths among uneducated mothers with P-value < 0.0003, and OR=2.0, mothers with low income (P=0.0008, CI=1.34-3.16, OR=2.07), families living in a shared houses (P=0.008, CI=1.23-3.19, OR=1.34), consanguinity (P=0.005, CI=1.13-2.0, OR=1.5), unemployed father (P=0.027, CI=1.24-4.28, OR=2.4), father’s education (P=0.017, CI=1.065-1.92, OR=1.4), assisted conception (P= 0.0001, CI=2.99-5.46, OR=4.04) and those mothers with no antenatal care (P=0.0001, CI=2.54-4.48, OR=3.37). Preterm birth in a referral/tertiary hospital was significantly high. There was no negative impact of nationality, mother’s occupation, maternal age, gravidity, or smoking. Comparing means among maternal and neonatal outcome categories showed no negative impact of crowding index (family members/number of rooms), number of rooms, number of family members, number of children in the house, or number of parties.
Conclusion: In this study, antenatal care, parent’s education, father’s unemployment, low income of the mother, poor housing, consanguinity, assisted conception, and preterm birth were all associated with in-hospital neonatal death.