Maternal Mortality in the Main Referral Hospital in Angola, 2010-2014: Understanding the Context for Maternal Deaths Amidst Poor Documentation
DOI:
https://doi.org/10.21106/ijma.111Keywords:
- Maternal Mortality,
- Causes,
- Determinants,
- Poor Documentation,
- Angola
Abstract
Background: Increasing global health efforts have focused on preventing pregnancy-related maternal deaths, but the factors that contribute to maternal deaths in specifi c high-burden nations are poorly understood. The aim of this study was to identify factors that infl uence the occurrence of maternal deaths in a regional maternity hospital in Kuando Kubango province of Angola.
Methods: The study was a retrospective cross-sectional analysis of case notes of all maternal deaths and deliveries that were recorded from 2010 to 2014. The information collected included data on pregnancy, labor and post-natal period retrieved from case notes and the delivery register.
Results: During the period under study, a total of 7,158 live births were conducted out of which 131 resulted in maternal death with an overall maternal mortality ratio of 1,830 per 100,000 live births. The causes of death and their importance was relatively similar over the period reviewed. The direct obstetric causes accounted for 51% of all deaths. The major causes were hemorrhage (15%), puerperal sepsis (13%), eclampsia (11%) and ruptured uterus (10%). In addition, indirect non-obstetric medical causes such as Malaria, Anemia, hepatitis, AIDs and cardiovascular diseases accounted for 49% of all maternal deaths. There is poor documentation of personal data and clinical case management of cases. The factors of mutual instability of statistical signifi cance associated with maternal death are: place of domicile (P=0.0001) and distance to the hospital (P=0.0001).
Conclusion and Global Health Implication: The study demonstrated that the MMR in maternity hospital is very high and is higher than the WHO 2014 estimates and the province is yet to achieve the desired MDG 5 target by the end of 2015. A reversal of the present state requires data driven planning in order to improve access and use of Maternal Health Services (MHS) and ultimately lower the number of pregnancy-related maternal deaths.
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Copyright © 2016 Abubakar Sadiq Umar, Lusamba Kabamba. Published by Global Health and Education Projects, Inc., USA.
This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , which permits others to remix, transform, and build upon the work non-commercially, provided the original author is credited and the new creations are licensed under the same terms.