search
for
 About Bioline  All Journals  Testimonials  Membership  News


East African Journal of Public Health
East African Public Health Association
ISSN: 0856-8960
Vol. 3, No. 2, 2006, pp. 10-13
Bioline Code: lp06009
Full paper language: English
Document type: Research Article
Document available free of charge

East African Journal of Public Health, Vol. 3, No. 2, 2006, pp. 10-13

 en LEVELS, TRENDS AND RISK FOR EARLY NEONATAL MORTALITY AT MUHIMBILI NATIONAL HOSPITAL, TANZANIA, 1999 - 2005
Method R. Kazaura, HL Kidanto and Siriel N. Massawe

Abstract

Objective: To determine the magnitude, trend and to assess risk factors for early neonatal mortality in one of the referral hospitals in Tanzania
Methods: We used logistic regression analyses with data from the Maternity Unit of Muhimbili National Hospital, Tanzania, adjusting for possible confounding factors.
Results: We found early neonatal mortality rate of 20 per 1000 live births (95%CI, 19/1000 - 21/1000). Results indicated the reduced risk of 0.8 (95% CI, 0.7 - 0.9) per 10 years increase of maternal age at delivery. We also found a reduced risk of neonatal mortality by increase in birth weight of the infant (OR = 0.87: 95%CI, 0.87-0.88 per 100 grams increase). Male born babies were found to have an elevated risk (OR = 1.4, 95%CI, 1.3 - 1.5) of early neonatal mortality as compared to females and the risk of neonatal mortality among offspring of women who have history of neonatal death was 1.9 times (95%CI, 1.1 - 3.1) as compared to those without a history of neonatal death.
Conclusions: Hospital-based data understate the magnitude of early neonatal mortality but maternal age and history of previous neonatal death should be used as markers for such undesired birth outcome.

Keywords
Early neonatal mortality; Risk; Tanzania

 
© Copyright 2006 - East African Journal of Public Heath

Home Faq Resources Email Bioline
© Bioline International, 1989 - 2024, Site last up-dated on 01-Sep-2022.
Site created and maintained by the Reference Center on Environmental Information, CRIA, Brazil
System hosted by the Google Cloud Platform, GCP, Brazil