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:Maternal near-miss (MNM) refers to a woman who nearly died but survived a complication that occurred during pregnancy, childbirth, or within 42 days of termination of pregnancy. Studies in Ethiopia showed an inconsistent proportion of MNM across time and in different setups. This study is aimed at assessing the magnitude, trends, and correlates of MNM at three selected hospitals in North Shewa Zone, Central Ethiopia. A hospital-based cross-sectional study was conducted among 905 mothers who gave birth from 2012 to 2017 in three hospitals using the WHO criteria for MNM. Medical records of the study subjects were selected using a systematic sampling technique. Data were retrieved using a pretested data extraction tool. Association between MNM and independent variables was assessed by using a binary logistic regression model. An odds ratio with a 95% confidence interval (CI) and p value of <0.05 were used to declare the level of significance. Of the 905 medical records reviewed, the prevalence of MNM was 14.3% (95%CI = 11.9 - 16.6) and similar over the last six years (2012-2017). The magnitude of life-threatening pregnancy complications was found to be 12.7%; severe preeclampsia (31%) and postpartum hemorrhage (26%) account for the highest proportion. Admission at a higher level of obstetric care like referral hospital (AOR = 4.85; 95% CI: 1.82-12.94) and general hospital (AOR = 3.76; 95% CI: 1.37-10.33), not using partograph for labor monitoring (AOR = 1.89; 95% CI: 1.17-3.04), history of abortion (AOR = 2.52; 95% CI: 1.18-5.37), and any other pregnancy complications (AOR = 6.91; 95% CI: 3.89-12.28) were factors significantly associated with higher MNM. Even though lower than the national figure, the proportion of MNM in the study area was very high, and there were no significant changes over the last six consecutive years. Giving special emphasis to women with prior history of pregnancy complications, hypertensive disorders of pregnancy, and obstetric hemorrhage with strict and quick management protocols and the use of partograph for labor monitoring are recommended to reduce the burden of severe maternal outcomes in the study area and Ethiopia.

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:IntroductionAutism is a neurodevelopmental disorder that occurs in the early childhood period and is characterized by altered social interaction, communication problems, repetitive, and stereotyped behavior. Genetic, environmental, or physical risk factors are associated with prenatal, natal, or postnatal complications, leading to the development of autism spectrum disorders. Prompt diagnosis and management should be an integral component of the care provision in countries like Ethiopia.ObjectiveThis study aimed to assess knowledge of childhood autism among nurses working in governmental hospitals in Addis Ababa, Ethiopia.MethodsInstitutional based cross-sectional study design was used. The sample size was calculated using the single population proportion formula, and the final sample size was 360. Final study subjects were selected by using the simple random sampling method. Data were collected using structured self-administered questionnaires and were then coded and entered into Epi-data version 3.1 and exported to SPSS version 21 for analysis. Descriptive statistics were utilized to show frequencies and percentages, and analysis of variance was carried out to compute the association between the dependent and independent variables. Independent t-test was also done to see the association between dependent variables and independent variables with two means. A p-value of less than 0.05 was considered statistically significant.ResultsThe mean score for knowledge-related items was 8.79 ± 0.4. In this study, out of 331 nurses, 180 (54.35%) had good knowledge. Significant mean score difference was observed among age distribution (F-Ratio = 2.8, p-value = 0.04), level of education (F-ratio = 13.97, p < 0.001) and work experience (F-Ratio = 3.07 p-value = 0.017).ConclusionA significant gap was observed in the overall knowledge of childhood autism among nurses employed in the governmental hospitals of Addis Ababa. The respondents' knowledge level was significantly different among age group distributions, education levels, and work experience.

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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