scholarly journals Editorial: Unsafe abortion and maternal mortality: is Africa prepared to face the reality?

2004 ◽  
Vol 81 (2) ◽  
Author(s):  
KO Rogo
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Gabriel Makuei ◽  
Mali Abdollahian ◽  
Kaye Marion

Maternal mortality rate (MMR) is one of the main worldwide public health challenges. Presently, the high levels of MMR are a common problem in the world public health and especially, in developing countries. Half of these maternal deaths occur in Sub-Saharan Africa where little or nothing progress has been made. South Sudan is one of the developing countries which has the highest MMR. Thus, this paper deploys statistical analysis to identify the significant physiological causes of MMR in South Sudan. Prediction models based on Poisson Regression are then developed to predict MMR in terms of the significant physiological causes. Coefficients of determination and variance inflation factor are deployed to assess the influence of the individual causes on MMR. Efficacy of the models is assessed by analyzing their prediction errors. The paper for the first time has used optimization procedures to develop yearly lower and upper profile limits for MMR. Hemorrhaging and unsafe abortion are used to achieve UN 2030 lower and upper MMR targets. The statistical analysis indicates that reducing haemorrhaging by 1.91% per year would reduce MMR by 1.91% (95% CI (42.85–52.53)), reducing unsafe abortion by 0.49% per year would reduce MMR by 0.49% (95% CI (11.06–13.56)). The results indicate that the most influential predictors of MMR are; hemorrhaging (38%), sepsis (11.5%), obstructed labour (11.5%), unsafe abortion (10%), and indirect causes such as anaemia, malaria, and HIV/AIDs virus (29%). The results also show that to obtain the UN recommended MMR levels of minimum 21 and maximum 42 by 2030, the Government and other stakeholders should simultaneously, reduce haemorrhaging from the current value of 62 to 33.38 and 16.69, reduce unsafe abortion from the current value of 16 to 8.62 and 4.31. Thirty years of data is used to develop the optimal reduced Poisson Model based on hemorrhaging and unsafe abortion. The model with R2 of 92.68% can predict MMR with mean error of −0.42329 and SE-mean of 0.02268. The yearly optimal level of hemorrhage, unsafe abortion, and MMR can aid the government and other stakeholders on resources allocation to reduce the risk of maternal death.


2014 ◽  
Vol 9 (1) ◽  
pp. 33-36 ◽  
Author(s):  
P Rijal ◽  
A Agrawal ◽  
H Pokharel ◽  
T Pradhan ◽  
MC Regmi

Aims: This study was done to assess the main causes of maternal mortality and other co-morbid factors contributing to maternal death at a university teaching hospital. Methods: A retrospective study was carried out in the department of Obstetrics and Gynecology analyzing all case record of maternal deaths from April 2008 to April 2011. Results: Eclampsia, unsafe abortion, puerperal sepsis, hemorrhages were the leading causes of death. Majority of the patients were unbooked. Conclusions: Eclampsia, sepsis and hemorrhage were the main causes of maternal deaths. Elderly ages, illiterate status, rural residence, presence of prior medical disease were statistically significant factors contributing to maternal death. DOI: http://dx.doi.org/10.3126/njog.v9i1.11185 NJOG 2014 Jan-Jun; 2(1):33-36


2015 ◽  
Vol 10 (1) ◽  
pp. 3-11
Author(s):  
TR Bhandari ◽  
G Dangal

Twenty-five years have passed since the global community agreed in Nairobi to address the high maternal mortality by implementing the Safe Motherhood Initiative.  However, every year around 22 million women seek unsafe abortion in developing countries. Globally, the unsafe abortion accounts for 13% maternal deaths. Out of the total aborted women, around five million women were admitted to hospitals as a result of unsafe abortion. Similarly, more than three million women suffer from severe complications from unsafe abortion every year. In 2002, responding to the public voices and high attribution of unsafe abortion on maternal mortality, Nepal granted legal access to safe abortion introducing safe abortion act. Women can seek abortion up to 12 weeks of gestation for any indication. However, sex selective pregnancy termination is prohibited in Nepal. This study aimed to assess the results of various studies on abortion practices in Nepal. Literature published in PubMed, Lancet, Medline, WHO and Google Scholar web pages from 1990 to 2014 were used to prepare this paper. From 2004 to 2014, more than half a million women sought safe abortion care in Nepal. Despite the considerable progress, unsafe abortion is still a major issue in Nepal as it has been estimated that it constitutes half of all abortions undertaken every year. Published literature further showed that still an unmet need of safe abortion services exists in Nepal. However, the overall awareness of legal abortion was found to be high among Nepalese women. We found negative attitude of most people towards women who sought abortion care. Similarly, a large number of unmarried women were found at risk for seeking abortion care due to socio-cultural norms, values and stigmas in Nepal.


2021 ◽  
Vol 70 (5) ◽  
pp. 5-14
Author(s):  
Aydar M. Ziganshin ◽  
Elvina M. Nagimova ◽  
Rail M. Marakanov ◽  
Viktor A. Mudrov

Maternal mortality is the most important indicator of womens health, but its level is still high. In 2018, 146 cases of maternal death were registered in the Russian Federation. Its main causes were extragenital diseases, bleeding, preeclampsia and eclampsia, amniotic fluid embolism, clinical narrow pelvis, and unsafe abortion. The aim of this study was to assess the structure of maternal mortality in recent years and to evaluate possible ways to reduce it. This was achieved by using an analytical method including carrying out a detailed systematic analysis of modern domestic and foreign literature on the maternal mortality issue. The study used databases such as eLIBRARY.RU, Scopus, PubMed, MEDLINE, ScienceDirect, and Cochrane Library from the creation until July 2021. The measures adopted so far do not allow for counting on a further decrease in maternal mortality rate, therefore the coming decade requires the introduction of artificial intelligence technologies.


2009 ◽  
Vol 35 (04) ◽  
pp. 194-202 ◽  
Author(s):  
Friday E. Okonofua ◽  
Afolabi Hammed ◽  
Emily Nzeribe ◽  
Buba Saidu ◽  
Tajudeen Abass ◽  
...  

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