Dataset Information

Incidence and causes of maternal near-miss in selected hospitals of Addis Ababa, Ethiopia.

ABSTRACT:

Background

Because maternal mortality is a rare event, it is important to study maternal near-miss as a complement to evaluate and improve the quality of obstetric care. Thus, the study was conducted with the aim of assessing the incidence and causes of maternal near-miss.

Methods

A facility-based cross-sectional study was conducted in five selected public hospitals of Addis Ababa, Ethiopia from May 1, 2015 to April 30, 2016. All maternal near-miss cases admitted to the selected hospitals during the study period were prospectively recruited. World Health Organization criteria were used to identify maternal near-miss cases. The number of maternal near-miss cases over one year per 1000 live births occurring during the same year was calculated to determine the incidence of maternal near-miss. Underlying and contributing causes of maternal near-miss were documented from each participant's record.

Results

During the one-year period, there were a total of 238 maternal near-miss cases and 29,697 live births in all participating hospitals, which provides a maternal near-miss incidence ratio of 8.01 per 1000 live births. The underlying causes of the majority of maternal near-miss cases were hypertensive disorders and obstetric hemorrhage. Anemia was the major contributing cause reported for maternal near-miss. Most of the maternal near-miss cases occurred before the women's arrival at the participating hospitals.

Conclusion

The study demonstrated a lower maternal near-miss incidence ratio compared to previous country-level studies. The majority of the near-miss cases occurred before the women's arrival at the participating hospitals, which underscores the importance of improving pre-hospital barriers. Efforts made toward improvement in the management of life-threatening obstetric complications could reduce the occurrence of maternal near-miss problems that occur during hospitalization.

SUBMITTER: Liyew EF

PROVIDER: S-EPMC5460898 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Publications

Incidence and causes of maternal near-miss in selected hospitals of Addis Ababa, Ethiopia.

Liyew Ewnetu Firdawek EF Yalew Alemayehu Worku AW Afework Mesganaw Fantahun MF Essén Birgitta B

PloS one 20170606 6

<h4>Background</h4>Because maternal mortality is a rare event, it is important to study maternal near-miss as a complement to evaluate and improve the quality of obstetric care. Thus, the study was conducted with the aim of assessing the incidence and causes of maternal near-miss.<h4>Methods</h4>A facility-based cross-sectional study was conducted in five selected public hospitals of Addis Ababa, Ethiopia from May 1, 2015 to April 30, 2016. All maternal near-miss cases admitted to the selected h ...[more]

PMID: 28586355

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Project description:ObjectiveThe objective of this study was to assess effect of maternal near miss on neonatal mortality.MethodsProspective cohort study was conducted on 384 pregnant women who came for delivery to purposely selected hospitals. The cohort was made up of 128 exposed (near miss) mothers and 256 non-exposed (non-near-miss) mothers. Women who came for delivery were only included. Those who came for services other than delivery such as abortion care, women who developed life-threatening condition not related to delivery, and those who come from no phone network area were excluded. A purposive sampling technique was used by including all mothers with near miss consecutively until the required sample size was obtained. Two non-near-miss mothers were selected using lottery for every near-miss mother. Survival analysis was done for both groups using Cox regression to look for effect of maternal near miss on neonatal mortality. Verbal informed consent from study participants was obtained.ResultsA total of 354 (118 with near miss and 236 without near miss) women completed the follow-up time, yielding response rate of 92.2%. Of all, 55 (15.5%) of them have previous history of abortion, 44 (12.4%) were admitted to the intensive care unit during delivery, and 22 (6.2%) have history of past delivery of still birth. Severe preeclampsia with intensive care unit admission and severe anemia with transfusion of greater than 2 units of blood were common complications leading to maternal near miss. There were 17 (48 per 1000 live birth) neonatal death at the end of the study, of which 15 occurred among mothers with near miss. Monthly income (adjusted hazard ratio = 998, 95% confidence interval = 0.996-0.999), fetal presentation (adjusted hazard ratio = 6.48, 95% confidence interval = 1.84-22.73), APGAR score (adjusted hazard ratio = 0.746, 95% confidence interval = 0.620-0.898), and being near miss mother (adjusted hazard ratio = 8.40, 95% confidence interval = 1.638-43.118) were significantly affecting neonatal mortality.ConclusionMaternal near miss and other fetal and general maternal characteristics have effect on occurrence of neonatal mortality. Therefore, due attention should be given to these factors for improvement of neonatal survival.

Project description:BackgroundOne-third to two-thirds of operated patients in low-income countries acquire surgical site infection, which is nine times higher when compared to high-resource countries. Identifying the incidence and risk factors that contribute to surgical site infection following cesarean delivery is a step ahead for preventing and reducing the problem. Nonetheless, the distribution of the problem in Addis Ababa, where the rate of cesarean delivery is relatively high compared to other parts of the country, is under investigation.ObjectiveThe aim of this study is to assess the incidence of surgical site infection among cesarean deliveries and factors associated with it in selected governmental hospitals found in Addis Ababa, Ethiopia, in 2019.MethodA hospital-based prospective cohort study design was employed to follow 175 women, who gave birth by cesarean delivery in selected government hospitals in Addis Ababa, from March 11 to April 9, 2019. Convenience sampling method was used to select study units from the randomly selected hospitals. Descriptive statistics were run for determining the rate of cesarean delivery surgical site infection. Presence and degree of association between outcome and independent variables were computed through bivariate logistic regression analysis and factors that had p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis.ResultFrom 166 participants who completed 30-day follow-up, 25 (15%) of the participants developed surgical site infection. Age, gestational age, duration of operation, and ≥5 vaginal examinations showed a significant association with the outcome variable with AOR (95% CI) of ((AOR = 1.504, 95% CI: (1.170 - 1.933, p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. p < 0.2 significance level in the bivariate logistic regression analysis were considered in the multivariable logistic regression analysis. Conclusion and recommendation. Surgical site infection rate is higher and certain associations lost due to small sample size. Further interventional studies with vast sample size are recommended.

Project description:ObjectiveTo assess where the delays occur in the referral chain of most maternal health outcomes in Addis Ababa, Ethiopia, based on the three-delay model.DesignThe study was a facility-based, cross-sectional study.SettingTwo public and tertiary hospitals in Addis Ababa.ParticipantsAll pregnant women who were referred only for labour and delivery services after 28 weeks of gestation between December 2018 and February 2019 in Zewditu and Gandhi Memorial Hospitals.Primary and secondary outcome measuresThe primary outcome was the type of delays, from the three-delay model, which met operationally defined time. The secondary outcome was maternal health outcomes based on the three-delay model.ResultsA total of 403 pregnant women referred for delivery to the study hospitals were included in the study. Three-fourths (301, 74.7%) of the referred pregnant women experienced the third delay (delay in receiving appropriate care); 211 (52.4%) experienced the first delay (delay in making a decision to seek care). Overall 366 (90.8%) pregnant women had experienced at least one of the three delays and 71 (17.6%) experienced all three delays. Twenty-nine (7.2%) referred women had severe maternal outcomes. The leading causes/diagnoses of severe maternal outcomes were blood transfusion (17, 58.6%), followed by postpartum haemorrhage (15, 52%) and eclampsia (9, 31%). In addition, women who experienced severe maternal outcomes were 2.9 times more likely to have experienced at least one of the three delays.Conclusion and recommendationThis study highlights the persistence of delays at all levels, and especially the third delay and its contribution to severe maternal outcomes. We recommend strengthening the health referral systems and addressing specific health system bottlenecks during labour and birth in order to ensure no mother is endangered. We also recommend conducting a qualitative method of study (focus group discussion and indepth interview) and observing tertiary hospitals' set-up and readiness to manage obstetric emergencies.

Dataset Information

Incidence and causes of maternal near-miss in selected hospitals of Addis Ababa, Ethiopia.

Background

Methods

Results

Conclusion

Publications

Incidence and causes of maternal near-miss in selected hospitals of Addis Ababa, Ethiopia.

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