Preterm birth and its associated factors in Ethiopia: a systematic review and meta-analysis

Maternal risk factors associated with the birth of preterm infants in the West of Iran: a matched case-control study

BACKGROUND

Preterm birth is one of the global most common causes of mortality among infants, especially in developing countries. Therefore, the present study was conducted to determine the maternal risk factors related to the birth of preterm infants.

METHODS

The present case-control study was conducted on 220 premature infants as the case group and 440 term infants as the control group in the hospitals of Khorram Abad, Iran, in 2023. Two groups were matched in terms of gender and date of birth. Data were gathered by the researcher using a researcher-made questionnaire, interviewing the mothers and physicians, and reviewing mothers' medical files in maternity and postpartum wards. Data were analyzed using Stata 17 software and descriptive statistics and conditional logistic regression test at the significance level of less than 0.05.

RESULTS

In multivariable analysis adjusted odds ratio (AOR) was estimated, mother's employment (AOR: 2.85; 95%CI:1.05-7.77), history of abortion (AOR: 2.04; 95%CI: 1.10-3.78), sexual activity from 32nd to 36.6th week of pregnancy (AOR: 0.33; 95%CI: 0.20-0.54), pre-eclampsia (AOR: 11.09; 95%CI: 4.5-27.39), premature rupture of membrane (AOR: 6.76; 95%CI; 3.7-12.34) and placental abruption (AOR: 16.07; 95%CI: 5.45-47.39) were significantly associated with preterm birth of infants. No significant relation was observed between mother's age, assisted reproductive treatment, cervical insufficiency, and the number of received prenatal cares at the health centers and the birth of premature infants.

CONCLUSION

According to the results of the study, factors such as a mother's employment, history of abortion, pre-eclampsia, premature rupture of membranes, and placental abruption can affect the birth of premature infants. Therefore, the control of maternal factors influential in the birth of premature infants, as well as care during pregnancy, can reduce the occurrence of premature births, followed by the reduction of healthcare costs and infant mortality and the improvement of the youth level of the population.

2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2025 AHA Statistical Update is the product of a full year's worth of effort in 2024 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. This year's edition includes a continued focus on health equity across several key domains and enhanced global data that reflect improved methods and incorporation of ≈3000 new data sources since last year's Statistical Update.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

How long does it take to start minimal enteral feeding in preterm Neonates admitted to NICUs in Southern Oromia, Ethiopia?

BACKGROUND

The timely initiation of trophic feeding (TF) is crucial for premature newborns, but challenging due to immaturity, respiratory instability, abdominal distension, resource scarcity, and healthcare worker expertise. Moreover, there is a dearth of information on predictors of full trophic feeding time. Therefore, this retrospective cohort study aimed to investigate the time it takes and its predictors to initiate minimal enteral feeding in preterm neonates in Southern Oromia, Ethiopia.

METHOD

A facility-based retrospective follow up study was conducted among 434 randomly selected preterm neonates admitted to NICU of Bule Hora University Teaching Hospital and Yabello General Hospital from January 1, 2021 to December 30, 2022. Data were extracted by a pretested structured checklist, entered into Epidata 3.1 and then transferred to Stata version 17 for analysis. Kaplan Meier survival curve and log rank test were used to estimate survival time and a statistical comparison respectively. Bivariable and multivariable cox proportional hazard model was fitted to identify predictors of time to initiate TF and their outputs are presented using Adjusted Hazard Ratio (AHR) with 95% Confidence Intervals (CIs).

RESULT

The overall incidence density of TF initiation was reported as 43.6 per 100 neonate-days. Moreover, the median (IQR) time to initiate TF was found to be 2 (1-4) days. Neonates delivered vaginally had a higher likelihood of early TF initiation (AHR: 1.64, CI: 1.26, 2.13), while those born between 32 and 34 weeks (AHR: 0.61, CI: 0.46, 0.81), VLBW neonates (AHR: 0.45, CI: 0.34, 0.60), neonates without KMC (AHR: 0.59, CI: 0.46, 0.79), and those in level II hospitals were less likely to start TF promptly (AHR: 0.78, CI: 0.62, 0.99). Furthermore, neonates with sepsis (AHR: 1.76, CI: 1.36, 2.28) and hypothermia (AHR: 1.51, CI: 1.19, 1.93) had delayed TF initiation.

CONCLUSION

We observed a significant low rate of early TF initiation and higher death rate of preterm newborn in our study as compared to the global. Preterm neonates with lower GA, no KMC, and a VLBW are more likely to have a delayed initiation. Our results highlight that staff training on identifying neonates suitable for TF, and ensuring adequate resources for KMC in all NICU levels should be considered.

Susceptibility profile and associated factors of urinary tract infections among women with established preterm labor delivering at a tertiary teaching hospital in Eastern Uganda: a cross-sectional study

BACKGROUND

Urinary tract infections have been recognized as a significant health issue since ancient times, but they are particularly concerning during pregnancy due to their potential to cause severe complications like preterm labor and low birth weight leading to significant neonatal morbidity and mortality. This study aimed to determine the prevalence, antibiotic susceptibility and factors associated with urinary tract infections among women with established preterm labor at Jinja Regional Referral Hospital.

METHODS

This was a hospital-based cross-sectional study carried out from 1st January 2024 to 30th April 2024. Using a consecutive sampling method, 385 pregnant women were enrolled until the desired sample size was reached. Data was collected via pretested questionnaires, and antibiotic susceptibility patterns were determined via urine culture and sensitivity. Data was analysed using STATA Version 14.2. Bivariate and multivariate analyses were used to determine association between the dependent and independent variables, with P < 0.05 as the level of significance at 95% confidence interval. The results were presented in pie charts, bar graphs and tables.

RESULTS

The prevalence of urinary tract infection was 114 (29.6%). The effectiveness of antibiotics against common Urinary tract Infection (UTI) pathogens varied significantly. E. coli was the most frequently isolated organism in UTIs, accounting for 42.98% of the cases followed by Enterococcus at 24.56%. Ceftriaxone was the most effective agent overall, with 81% of the pathogens showing susceptibility, followed by cefixime (78%) and co-amoxiclav (73%). Nitrofurantoin (64%) and cefuroxime (66%) had moderate effectiveness, whereas ampicillin (50%) was less effective. Azithromycin (34%) and erythromycin (28%) were the least effective. No formal education, being unemployed, monthly income less than 500,000 Ugandan Shillings, a history of urinary tract infection, Parity of one or more, a gestational age ≥ 26 weeks and diabetes (aOR = 8.00; 95% CI = [1.75-36.48]; P = 0.007), (aOR = 2.72; 95% CI = [1.38-5.23]; P = 0.003), (aOR = 2.55; 95% CI = [1.29-5.16]; P = 0.007), (aOR = 4.60; 95% CI = [2.64-8.25]; P < 0.001), (aOR = 1.90; 95% CI = [1.07-3.45]; P = 0.028), (aOR = 2.41; 95% CI = [1.17-4.92]; P = 0.017), (aOR = 3.11; 95% CI = [1.33-7.12]; P = 0.009), respectively, were significantly associated with urinary tract infection.

CONCLUSIONS

In this study, the prevalence of urinary tract infection was high compared with the worldwide prevalence. The majority of the isolates were susceptible to ceftriaxone, followed by co-amoxiclav, cefixime, nitrofurantoin, ampicillin, azithromycin and erythromycin. Primary or no formal education, monthly income ≤ 500,000Ugandan shillings, history of urinary tract infections, gestational age ≥ 26 weeks and diabetes were significantly associated with urinary tract infection.

A Neural Network-based Approach to Prediction of Preterm Birth using Non-invasive Tests

Background

One of the main reasons for neonatal deaths is preterm delivery, and infants who have survived preterm birth (PB) are at risk of significant health complications. However, an effective method for reliable and accurate prediction of preterm labor has yet to be proposed.

Objective

This study proposes an artificial neural network (ANN)-based approach for early prediction of PB, and consequently can hint physicians to start the treatment earlier, reducing the chance of morbidity and mortality in the infant.

Material and Methods

This historical cohort study proposes a feed-forward ANN with 7 hidden neurons to predict PB. Thirteen risk factors of PB were collected from 300 pregnant women (150 with preterm delivery and 150 normal) as the ANN inputs from 2018 to 2019. From each group, 70%, 15%, and 15% of the subjects were randomly selected for training, validation, and testing of the model, respectively.

Results

The ANN achieved an accuracy of 79.03% for the classification of the subjects into two classes normal and PB. Moreover, a sensitivity of 73.45% and specificity of 84.62% were obtained. The advantage of this approach is that the risk factors used for prediction did not require any lab test and were collected in a questionnaire.

Conclusion

The efficacy of the proposed approach for the early identification of pregnant women, who are at high risk of preterm delivery, leads to necessary care and clinical interventions, applied during the pregnancy.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Is intimate partner violence and obstetrics characteristics of pregnant women associated with preterm birth in Ethiopia? Umbrella review on preterm birth

BACKGROUND

Preterm birth is a significant contributor to newborns morbidity and mortality. Despite the availability of highly effective and powerful interventions, the burden of preterm birth has not decreased. Given the relevance of the topic to clinical decision-making, strong conclusive and supporting evidence emanating from the umbrella review is required. To this end, this umbrella review study sought to determine the association between intimate partner violence and obstetrics characteristics of women with preterm birth in Ethiopia.

METHODS

Six systematic review and meta-analysis studies searched across multiple databases were included in this umbrella review. The quality of the included systematic review and meta-analysis studies was evaluated using the Assessment of Multiple Systematic Reviews (AMSTAR-2) checklist. STATA version 18 was used for the statistical analysis. A random-effects model was used to calculate the overall effect measurement.

RESULTS

A total of 114 observational studies in the six systematic review and meta-analysis studies involving 75,624 pregnant women were included in this comprehensive analysis. The preterm birth rate among mothers in Ethiopia was 11% (95% CI 10-13%; I2 = 98.08). Preterm birth was significantly associated with intimate partner violence (POR: 2.32; 95% CI 1.74-2.90), multiple pregnancies (POR: 3.36; 95% CI 2.41-4.32), pregnancy-induced hypertension (POR: 4.13; 95% CI 3.17-5.10), anemia (POR: 2.76; 95% CI 1.97-3.56), and premature rupture of pregnancy (POR: 5.1; 95% CI 3.45-6.75).

CONCLUSIONS

More than one out of ten pregnant women experienced preterm birth in Ethiopia. Intimate partner violence is significantly associated with preterm birth. Furthermore, multiple pregnancies, pregnancy-induced hypertension, anemia, and premature rupture of the membrane were significant predictors of preterm birth. Therefore, policymakers should consider further instigations and implementations of policies and strategies closely related to reductions of intimate partner violence. It is also crucial to the early identification and treatment of high-risk pregnancies.

Development and validation of a prognosis risk score model for preterm birth among pregnant women who had antenatal care visit, Northwest, Ethiopia, retrospective follow-up study

BACKGROUND

Prematurity is the leading cause of neonatal morbidity and mortality, specifically in low-resource settings. The majority of prematurity can be prevented if early interventions are implemented for high-risk pregnancies. Developing a prognosis risk score for preterm birth based on easily available predictors could support health professionals as a simple clinical tool in their decision-making. Therefore, the study aims to develop and validate a prognosis risk score model for preterm birth among pregnant women who had antenatal care visit at Debre Markos Comprehensive and Specialized Hospital, Ethiopia.

METHODS

A retrospective follow-up study was conducted among a total of 1,132 pregnant women. Client charts were selected using a simple random sampling technique. Data were extracted using structured checklist prepared in the Kobo Toolbox application and exported to STATA version 14 and R version 4.2.2 for data management and analysis. Stepwise backward multivariable analysis was done. A simplified risk prediction model was developed based on a binary logistic model, and the model's performance was assessed by discrimination power and calibration. The internal validity of the model was evaluated by bootstrapping. Decision Curve Analysis was used to determine the clinical impact of the model.

RESULT

The incidence of preterm birth was 10.9%. The developed risk score model comprised of six predictors that remained in the reduced multivariable logistic regression, including age < 20, late initiation of antenatal care, unplanned pregnancy, recent pregnancy complications, hemoglobin < 11 mg/dl, and multiparty, for a total score of 17. The discriminatory power of the model was 0.931, and the calibration test was p > 0.05. The optimal cut-off for classifying risks as low or high was 4. At this cut point, the sensitivity, specificity and accuracy is 91.0%, 82.1%, and 83.1%, respectively. It was internally validated and has an optimism of 0.003. The model was found to have clinical benefit.

CONCLUSION

The developed risk-score has excellent discrimination performance and clinical benefit. It can be used in the clinical settings by healthcare providers for early detection, timely decision making, and improving care quality.

Retinopathy of prematurity among infants admitted to two neonatal intensive care units in Ethiopia

OBJECTIVE

This study was conducted to determine the prevalence and risk factors for retinopathy of prematurity (ROP) in two neonatal intensive care units (NICUs) in Addis Ababa, Ethiopia.

METHODS AND ANALYSIS

A prospective screening survey was conducted from June 2019 to June 2020 in two level 3 public NICUs. Infants with a birth weight (BW) of ≤1500 g or gestational age (GA) of ≤32 weeks and those with a BW of >1500 g and GA of >32 weeks with an unstable clinical course were included. Data on demographic and neonatal characteristics, neonatal and maternal comorbidities, and therapeutic interventions were collected. Logistic regression analysis was used to identify predictors of ROP.

RESULTS

Two hundred and two infants were included: mean BW: 1658g (range: 700-2400 g) and mean GA: 32.4 weeks (range: 26-34 weeks). 32.2% had any stage of ROP, and 6.4% had Type 1 ROP. Lower BW, smaller GA and total days on oxygen were independent risk factors for severe ROP (Type 1 or worse). All 13 neonates with severe ROP were treated.

CONCLUSION

ROP is emerging as a concern in Ethiopia. ROP screening should include neonates with BW of <1800 g or GAs of ≤33 weeks, but further studies are needed in level 2 and private NICUs. Screening guidelines need to be developed and implemented in all hospitals with NICUs.

The Utilization of Sodium Concentration in Human Milk from Pump-Dependent Mothers of Preterm Infants as a Measure of Milk Production

Objective: This study investigated changes in sodium concentrations in human milk from mothers of premature infants using different breast pumps for 14 days postpartum, and the correlation between the sodium concentration in mother's own milk (MOM) and the volume pumped. Study Design: This randomized controlled study recruited 66 mothers of premature infants delivered in our hospital from February to December 2018, and we assigned them to three groups using an envelope method. In intervention group 1, a hospital-grade electric breast pump was used from postpartum day 1 to 14; in intervention group 2, a hospital-grade electric breast pump was used on postpartum days 1 to 5 and a normal personal electric breast pump on postpartum days 6 to 14; in the control group, a personal normal electric breast pump was used from postpartum day 1 to 14. Data recorded included the breast milk volume pumped and milk sodium concentration. Results: The average daily volume of MOM pumped differed statistically (p < 0.05) between the intervention and control groups at postpartum days 7 and 14. The average daily volume pumped did not differ between intervention groups 1 and 2 by postpartum day 14 (p > 0.05). However, the time taken for the sodium concentrations to normalize differed significantly (p < 0.01). At postpartum day 5, the sodium concentrations of 73% of intervention group 1 and 2 mothers were within normal limits, and they were maintained until day 14. In comparison, only 41% of the controls had normal MOM sodium levels on day 5, and they were still high on day 7 in 27.3% of controls. Conclusions: In the early stage of lactation initiation (within 5 days postpartum), using a hospital-grade electric breast pump promotes lactation in mothers who deliver prematurely and the sodium concentrations normalize more quickly. Sodium can be used as an objective biomarker of MOM to evaluate the possibility of delayed lactation in mothers of premature infants, and it could assist interventions in the early postpartum period. Trial Registration: Chinese Clinical Trial Registry, ChiCTR2200061384.

Maternal, obstetric and gynecological factors associated with preterm birth in Rwanda: findings from a national longitudinal study

BACKGROUND

Preterm birth is one of the key causes of morbidity and mortality among neonates in low-income countries. In Rwanda, at least 35,000 babies are born prematurely each year, and 2600 children under the age of five die due to direct complications of prematurity each year. A limited number of studies have been conducted locally, many of which are not nationally representative. Thus, this study determined the prevalence as well as the maternal, obstetric, and gynecological factors associated with preterm birth in Rwanda at the national level.

METHODS

A longitudinal cohort study was conducted from July 2020 to July 2021 among first-trimester pregnant women. A total of 817 women from 30 health facilities in 10 districts were included in the analysis. A pre-tested questionnaire was used to collect data. In addition, medical records were reviewed to extract relevant data. Ultrasound examination was used to assess and confirm gestational age on recruitment. A multivariable logistic regression analysis was performed to determine the independent maternal, obstetric, and gynecological factors associated with preterm birth.

RESULTS

The prevalence of preterm births was 13.8%. Older maternal age- 35 to 49 years [Adjusted odds ratio (AOR) = 2.00; 95% Confidence Interval (CI) = 1.13-3.53)], secondhand smoke exposure during pregnancy (AOR = 1.91; 95% CI = 1.04-3.51), a history of abortion (AOR = 1.89; 95% CI = 1.13-3.15), premature membrane rupture (AOR = 9.30; 95% CI = 3.18-27.16), and hypertension during pregnancy (AOR = 4.40; 95% CI = 1.18-16.42) were identified as independent risk factors for preterm birth.

CONCLUSION

Preterm birth remains a significant public health issue in Rwanda. The associated risk factors for preterm birth were advanced maternal age, secondhand smoke, hypertension, history of abortion, and preterm membrane rupture. This study therefore recommends routine antenatal screening to identify and closely follow-up of those high-risk groups, in order to avoid the short- and long-term effects of preterm birth.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

The bayesian approach of factors associated with preterm birth among mothers delivered at public hospitals in Southeast Ethiopia

Background

Preterm birth remains the commonest cause of neonatal mortality, and morbidity represents one of the principal targets of neonatal healthcare. Ethiopia is one of the countries which accounts for the highest burden of preterm birth. Therefore, this study aimed to assess factors associated with preterm birth at public hospitals in Sidama regional state.

Methods

A facility-based cross-sectional study was conducted at public hospitals in Southeast Ethiopia from 1 June to 1 September 2020. To recruit the study participants, systematic random sampling techniques were used. Data were collected using pretested structured interviewer-administered questionnaire and a checklist via chart review. Data were entered using EpiData version 3.1 and exported to R software version 4.0 for analysis. Then, factors associated with preterm birth among mothers were assessed based on the Bayesian statistical approach.

Results

The study showed that the prevalence of preterm birth was 20.6%. Being a rural resident (AOR = 2; 95% CrI: 1.2-3.5), having no antenatal care service utilization (AOR = 2.3; 95% CrI: 1.1-4.8), hypertensive disorder of pregnancy (AOR = 3.5; 95% CrI: 1.8-6.9), birth space less than 2 years (AOR = 3.4; 95% CrI: 1.5-7.9), having premature rupture of membrane (AOR = 2.4; 95% CrI: 1.3-5.4), and physical intimate violence (AOR = 2.876; 95%CI: 1.534, 5.393) were risk factors of preterm birth. Whereas, women who had primary, secondary, and higher education levels (AOR = 0.2; 95% CrI: 0.1-0.4, AOR = 0.1; 95% CrI: 0.06-0.3, and AOR = 0.2; 95% CrI: 0.1-0.4), respectively, were preventive factors.

Conclusion

Most of the risk factors of preterm birth were found to be modifiable. Community mobilization on physical violence during pregnancy and antenatal care follow-up are the ground for the prevention of preterm birth because attentive and critical antenatal care screening practices could early identify risk factors. In addition, information communication education about preterm birth prevention was recommended.

Effect of optimal antenatal care on maternal and perinatal health in Ethiopia

INTRODUCTION

Receiving at least four antenatal care (ANC) visits have paramount importance on the health of mothers and perinates. In Ethiopia, several studies were conducted on ANC service utilization; however, limited studies quantified the effect of care on maternal and perinate health. In response to this gap, this study is conducted to quantify the effect of optimal ANC care (≥4 visits) on maternal and perinatal health among women who received optimal care in comparison to women who did not receive optimal care.

METHODS

The study utilized the Ethiopian perinatal death surveillance and response (PDSR) system dataset. A total of 3,814 reviewed perinatal deaths were included in the study. Considering the nature of the data, preferential within propensity score matching (PWPSM) was performed to determine the effect of optimal ANC care on maternal and perinatal health. The effect of optimal care was reported using average treatment effects of the treated [ATT].

RESULT

The result revealed that optimal ANC care had a positive effect on reducing perinatal death, due to respiratory and cardiovascular disorders, [ATT = -0.015, 95%CI (-0.029 to -0.001)] and extending intrauterine life by one week [ATT = 1.277, 95%CI: (0.563-1.991)]. While it's effect on maternal health includes, avoiding the risk of having uterine rupture [ATT = -0.012, 95%CI: (-0.018 to -0.005)], improving the utilization of operative vaginal delivery (OVD) [ATT = 0.032, 95%CI: (0.001-0.062)] and avoiding delay to decide to seek care [ATT = -0.187, 95%CI: (-0.354 to -0.021)].

CONCLUSION

Obtaining optimal ANC care has a positive effect on both maternal and perinatal health. Therefore, policies and interventions geared towards improving the coverage and quality of ANC services should be the top priority to maximize the benefit of the care.

Cause and risk factors of early neonatal death in Ethiopia

Background

Globally, three fourth of neonatal deaths occur during the early neonatal period, this makes it a critical time to reduce the burden of neonatal death. The survival status of a newborn is determined by the individual (neonatal and maternal), and facility-level factors. Several studies were conducted in Ethiopia to assess early neonatal death; however, most of the studies had limited participants and did not well address the two main determinant factors covered in this study. In response to this gap, this study attempted to examine factors related to early neonatal death based on perinatal death surveillance data in consideration of all the possible determinants of early neonatal death.

Methods

The national perinatal death surveillance data were used for this study. A total of 3814 reviewed perinatal deaths were included in the study. Bayesian multilevel parametric survival analysis was employed to identify factors affecting the survival of newborns during the early neonatal period. Adjusted time ratio (ATR) with 95% Bayesian credible intervals (CrI) was reported and log-likelihood was used for model comparison. Statistical significance was declared based on the non-inclusion of 1.0 in the 95% CrI.

Result

More than half (52.4%) of early neonatal deaths occurred within the first two days of birth. Per the final model, as gestational age increases by a week the risk of dying during the early neonatal period is reduced by 6% [ATR = 0.94,95%CrI:(0.93–0.96)]. There was an increased risk of death during the early neonatal period among neonates deceased due to birth injury as compared to neonates who died due to infection [ATR = 2.05,95%CrI:(1.30–3.32)]; however, perinates who died due to complication of an intrapartum event had a lower risk of death than perinates who died due to infection [ATR = 0.87,95%CrI:(0.83–0.90)]. As the score of delay one and delay three increases by one unit, the newborn’s likelihood of surviving during the early neonatal period is reduced by 4% [ATR = 1.04,95%CrI:(1.01–1.07)] and 21% [ATR = 1.21,95%CrI:(1.15–1.27)] respectively. Neonates born from mothers living in a rural area had a higher risk of dying during the early neonatal period than their counterparts living in an urban area [ATR = 3.53,95%CrI:(3.34–3.69)]. As compared to neonates treated in a primary health facility, being treated in secondary [ATR = 1.14,95%CrI:(1.02–1.27)] and tertiary level of care [ATR = 1.15,95%CrI:(1.04–1.25)] results in a higher risk of death during the early neonatal period.

Conclusion

The survival of a newborn during the early neonatal period is determined by both individual (gestational age, cause of death, and delay one) and facility (residence, type of health facility and delay three) level factors. Thus, to have a positive early neonatal outcome, a tailored intervention is needed for the three major causes of death (i.e Infection, birth injury, and complications of the intrapartum period). Furthermore, promoting maternal health, improving the health-seeking behaviour of mothers, strengthening facility readiness, and narrowing down inequalities in service provision are recommended to improve the newborn’s outcomes during the early neonatal period.