scholarly journals Risk factors for stillbirth and early neonatal death: a case-control study in tertiary hospitals in Addis Ababa, Ethiopia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Eskinder Kebede ◽  
Melani Kekulawala

Abstract Background Ethiopia is a Sub-Saharan country that has made significant improvements in maternal mortality and under-five mortality over the past 15 years. However, the nation continues to have one of the highest rates of perinatal mortality in the entire world with current estimates at 33 deaths per 1000 live births. Methods This case-control study was conducted between October 2016 and May 2017 at Tikur Anbessa Hospital and Gandhi Memorial Hospital. All women who had a stillbirth or early neonatal death (i.e. death within 7 days) during this period willing to participate were included as cases. A systematic random sample of women delivering at the hospital were approached for recruitment as controls to generate a 2:1 ratio of controls to cases. Data on risk factors were retrieved from medical records including delivery records, and treatment charts. Statistical differences in background and social characteristics of cases and controls were determined by t-test and chi-squared (or fisher’s exact test) for quantitative and categorical variables respectively. Binary logistic regression analysis was completed to determine any associations between risk factors and stillbirth/early neonatal death. Results During the study period, 366 women delivering at the hospitals were enrolled as cases and 711 women delivering at the hospitals were enrolled as controls. Records from both hospitals indicated that the estimated stillbirth and neonatal mortality rates were 30.7 per 1000. Neonatal causes (43.4%) were the most common, followed by antepartum (32.5%) and intrapartum (24.5%). Risk factors for stillbirths and early neonatal death were low maternal education (aOR 1.747, 95%CI 1.098–2.780), previous stillbirth (aOR 9.447, 95%CI 6.245–14.289), previous preterm birth (aOR 3.620, 95%CI 2.363–5.546), and previous child with congenital abnormality (aOR 2.190, 95% 1.228–3.905), and antepartum hemorrhage during pregnancy (aOR 3.273, 95% 1.523–7.031). Conclusion Antepartum hemorrhaging is the only risk factor in our study amenable for direct intervention. Efforts should be maximized to improve patient education and antenatal and obstetric services. Moreover, the most significant cause of mortality was asphyxia-related causes. It is imperative that obstetric capacity in rehabilitation services are strengthened and for further studies to investigate the high burden of asphyxia at these tertiary hospitals to better tailor interventions.

2020 ◽  
Author(s):  
Eskinder Kebede Weldetensaye ◽  
Melani Kekulawala

Abstract Background: Globally, Ethiopia is ranked seventh in the absolute number of stillbirths. Attempts to decrease this number have been obstructed by an inadequate understanding of the risk factors leading to stillbirth and early neonatal death in Ethiopia. This study was conducted in two tertiary hospitals in Addis Ababa, Ethiopia, to identify the risk factors for stillbirth and neonatal death in this setting.Methods: This case-control study was conducted between October 2016 and May 2017 at Tikur Anbessa Hospital (TAH) and Gandhi Memorial Hospital (GMH). All enrolled women who had a stillbirth or early neonatal death during this period were included as cases and a random sample of women delivering at the hospital was selected to enroll as controls for a 2:1 ratio of controls to cases. Data on potential risk factors were retrieved from medical records including health passports, delivery records, and treatment charts. Statistical differences in background and social characteristics of cases and controls were determined by t-test and chi-squared (or fisher’s exact test) for quantitative and categorical variables, respectively. Binary logistic regression analysis was completed to determine any associations between risk factors and stillbirth/early neonatal death.Results: During the study period, 366 women delivering at the hospitals were enrolled as cases and 711 women delivering at the hospitals were enrolled as controls. During the study period, hospital records indicated that the estimated stillbirth and neonatal death rates were 30.7 per 1000. Neonatal causes (43.4%) were the most common, followed by antepartum (32.5%) and intrapartum (24.5%). Risk factors for stillbirths and early neonatal death were maternal education (aOR 1.747, 95%CI 1.098-2.780), parity (aOR 1.114, 95%CI .058- 2.484), previous stillbirth (aOR 9.447, 95%CI 6.245-14.289), previous preterm birth (aOR 3.620, 95%CI 2.363-5.546), and previous child with congenital abnormality (aOR 2.190, 95% 1.228-3.905), and antepartum hemorrhage during pregnancy (aOR 3.273, 95% 1.523-7.031).Conclusion: Antepartum hemorrhaging is the only risk factor in our study amenable for direct intervention. Efforts should be maximized to improve patient education and antenatal and obstetric services, particularly for women who have a history of obstetric complications identified as risk factors.


2020 ◽  
Author(s):  
Eskinder Kebede Weldetensaye ◽  
Melani Kekulawala

Abstract Background: Ethiopia is a Sub-Saharan country that has made significant improvements in maternal mortality and under-five mortality over the past 15 years. However, perinatal mortality continues to be a major obstacle. The nation continues to have one of the highest rates of perinatal mortality in the entire world with current estimates at 33 deaths per 1000 live births.Methods: This case-control study was conducted between October 2016 and May 2017 at Tikur Anbessa Hospital (TAH) and Gandhi Memorial Hospital (GMH). All women who had a stillbirth or early neonatal mortality during this period willing to participate were included as cases. A systematic random sample of women delivering at the hospital was approached for recruitment as controls to generate a 2:1 ratio of controls to cases. Data on potential risk factors were retrieved from medical records including health passports, delivery records, and treatment charts. Statistical differences in background and social characteristics of cases and controls were determined by t-test and chi-squared (or fisher's exact test) for quantitative and categorical variables respectively. Binary logistic regression analysis was completed to determine any associations between risk factors and stillbirth/early neonatal mortality.Results: During the study period, 366 women delivering at the hospitals were enrolled as cases and 711 women delivering at the hospitals were enrolled as controls. During the study period, records from both hospitals indicated that the estimated stillbirth and neonatal mortality rates were30.7 per 1000. Neonatal causes (43.4%) were the most common, followed by antepartum (32.5%) and intrapartum (24.5%). Risk factors for stillbirths and early neonatal mortality were low maternal education (aOR 1.747, 95%CI 1.098-2.780), high parity (aOR 1.114, 95%CI .058- 2.484), previous stillbirth (aOR 9.447, 95%CI 6.245-14.289), previous preterm birth (aOR 3.620, 95%CI 2.363-5.546), and previous child with congenital abnormality (aOR 2.190, 95% 1.228-3.905), and antepartum hemorrhage during pregnancy (aOR 3.273, 95% 1.523-7.031).Conclusion: Antepartum hemorrhaging is the only risk factor in our study amenable for direct intervention. Efforts should be maximized to improve patient education and antenatal and obstetric services, particularly for women who have a history of obstetric complications identified as risk factors. Moreover, the most significant cause of mortality was asphyxia-related causes. It is imperative that obstetric capacity in rehabilitation services are strengthened and for further studies to investigate the high burden of asphyxia at these tertiary hospitals to better tailor interventions.


Author(s):  
Abi Bazar

Objectives: Maternal mortality is one indicator to assess a nation’s health care quality. This research was conducted to determine the determinant risk factors for maternal mortality. Methods: A retrospective case control study at Dr. Mohammad Hoesin General Hospital for 5 years, with 200 samples consists of 50 cases of maternal mortality and 150 physiological labor cases as control group. Results: For 5 years, there was 109 cases of maternal mortaliy. Of the 50 samples of maternal mortality cases, the most common cause were preeclampsia/eclampsia (50%), followed by hemorrhage (28%). The risk factors were categorized as distant, intermediate, and outcome factors, as stated by McCarthy et al. On bivariate analysis, we found the significance on maternal education and husband’s occupation (distant factors), residence, referral status, numbers of ANC visits, first attendant, labor facility and history of prior medical history (intermediate factors), and also modes of delivery and complications (outcome factors). On the multivariate analysis to determine the most contributing risks factors for maternal mortality, it was found that maternal education and residence were the most influencing factors for maternal mortality (OR 5.74 and 4.65 respectively; p=0.001). Conclusions: The most contributing risks factors for maternal mortality were maternal education and residence. [Indones J Obstet Gynecol 2012; 36-1:8-13] Keywords: case control study, maternal mortality, risk factors.


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 59
Author(s):  
George N. Agot ◽  
Marshal M. Mweu ◽  
Joseph K. Wang'ombe

Background: Although major external structural birth defects continue to occur globally, the greatest burden is shouldered by resource-constrained countries with no surveillance systems. To our knowledge, many studies have been published on risk factors for major external structural birth defects, however, limited studies have been published in developing countries. The objective of this study was to identify risk factors for major external structural birth defects among children in Kiambu County, Kenya. Methods: A hospital-based case-control study was used to identify the risk factors for major external structural birth defects. A structured questionnaire was used to gather information retrospectively on maternal exposure to environmental teratogens, multifactorial inheritance, and sociodemographic-environmental factors during the study participants' last pregnancies.  Descriptive analyses (means, standard deviations, medians, and ranges) were used to summarize continuous variables, whereas categorical variables were summarized as proportions and percentages in frequency tables. Afterward, logistic regression analyses were conducted to estimate the effects of the predictors on the odds of major external structural birth defects in the country. Results: Women who conceived when residing in Ruiru sub-county (adjusted odds ratio [aOR]: 5.28; 95% CI: 1.68-16.58; P<0.01), and Thika sub-county (aOR: 0.27; 95% CI; 0.076-0.95; P =0.04); and preceding siblings with history of birth defects (aOR: 7.65; 95% CI; 1.46-40.01; P =0.02) were identified as the significant predictors of major external structural birth defects in the county. Conclusions: These findings pointed to MESBDs of genetic, multifactorial inheritance, and sociodemographic-environmental etiology. Thus, we recommend regional defect-specific surveillance programs, public health preventive measures, and treatment strategies to understand the epidemiology and economic burden of these defects in Kenya. We specifically recommend the integration of clinical genetic services with routine reproductive health services because of potential maternal genetic predisposition in the region.


Author(s):  
Zulfikar Ahmad ◽  
Siti Surya Indah Nurdin

Preeclampsia is one of the major causes of maternal, fetal and neonatal morbidity and mortality. The research aimed at investigating the risk factor of the preeclampsia incident in Mother and Child Hospital Siti Khadijah Gorontalo. The research used the case control study design. Case samples are mothers who suffer from preeclampsia, while control samples are mothers who did not experience preeclampsia during pregnancy. The total sample of 78 people The results of this study indicate that risk factors for the incidence of preeclampsia include socioeconomic status (OR = 3,976, CI%: 1,399 - 11,301), maternal education (OR = 4,396, 95% CI: 1,518 - 12,374), and history preeclampsia (OR = 8,441, 95% CI: 1,469 - 48,501). Maternal occupation, maternal age, history of hypertension, and parity are not risk factors for the incidence of preeclampsia. The most influential factor on the incidence of preeclampsia is the history of preeclampsia.Preeklampsia merupakan salah satu penyebab morbiditas dan mortalitas pada ibu, janin dan neonatal. Penelitian ini bertujuan untuk mengetahui faktor yang berhubungan dengan kejadian preeklampsia di RSIA Siti Khadijah Gorontalo. Penelitian ini menggunakan desain Case Control Study. Populasi penelitian adalah semua ibu melahirkan selama tahun 2019 di RSIA Siti Khadijah Gorontalo. Sampel kasus merupakan ibu yang menderita preklamsia, sedangkan sampel kontrol merupakan ibu yang tidak mengalami preeklampsia saat hamil. Jumlah sampel sebanyak 78 orang Hasil penelitian ini menunjukkan bahwa faktor risiko terhadap kejadian preeklampsia meliputi status sosial ekonomi (OR = 3,976, CI %: 1,399 – 11,301), pendidikan ibu (OR = 4,396, CI 95% : 1,518 – 12,374), dan riwayat preeklampsia (OR = 8,441, CI 95%: 1,469 – 48,501). Pekerjaan ibu, usia ibu, riwayat hipertensi, dan paritas bukan faktor risiko terhadap kejadian preeklampsia. Faktor yang paling berpengaruh terhadap kejadian preeklampsia adalah riwayat preeklampsia.


2021 ◽  
Author(s):  
Ethar Abdullah

Abstract Low birth weight (delivery of an infant with less than 2500 grams) is owed to two main causes, either IUGR or pre-term delivery. It makes the newborn susceptible to many health issues from birth and through the adulthood life. Whoever IUGR is the leading cause of LBW in developing countries, and hence it is more reliable here in Sudan to study the risk factors that lead to it which are whoever mostly modifiable. This is a hospital based unmatched case-control study. A total of 134 (67 cases and 67 controls) mothers and their full-term newborn infants were included in the study. The participants were interviewed with a questionnaire and anthropometric measurements were obtained at the end of the interview. The data was analyzed using SPSS and Odd ratios of the risk factors were calculated. The main risk factors that found to influence the birth weight of our study participants were lack of maternal education, rural place of residence, bleeding during pregnancy, high blood pressure during pregnancy, inadequate spacing, lack of ANC follow up, not having iron supplementation and exposure to passive smoking during pregnancy.


2001 ◽  
Vol 77 (4) ◽  
pp. 294-8 ◽  
Author(s):  
Sílvia W. Sarinho ◽  
Djalma A.M. Filho ◽  
Gisélia A.P. da Silva ◽  
Marília C. Lima

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