Effect of antenatal care and social well-being on early neonatal mortality in Bangladesh

Spatiotemporal patterns and factors contributing to neonatal mortality in Ethiopia: Data from EDHS 2000 to 2019

BACKGROUND

Although Ethiopia has substantial improvements in various health indicators such as maternal and child mortality, the burden of neonatal mortality remains high. Between 2016 and 2019, neonatal mortality increased from 29 deaths per 1,000 live births to 33 deaths per 1,000 live births. This study aimed to explore the spatial patterns and factors contributing to neonatal mortality in Ethiopia.

METHODS

Data from the Ethiopian Demographic and Health Surveys (EDHS) for the years 2000, 2005, 2011, 2016, and 2019 were analyzed. The EDHS sampling design uses a two-stage cluster sampling technique, considering census enumeration areas as primary sampling units and households as secondary sampling units. We used the Spatial Scan analysis in SaTScan and Getis-Ord Gi* statistic in Geographic Information System (GIS), to analyse the spatiotemporal patterns of neonatal mortality. Maternal, newborn and health service-related factors contributing to neonatal mortality were also analyzed using a multilevel logistic regression model. Adjusted Odds Rios (AOR) with corresponding 95% CI were presented as a measure of association and a P-value of 0.05 was used to declare statistical significance.

RESULTS

During the initial three consecutive surveys, there was a consistent pattern of hot spot clusters in the Amhara and Benshangul Gumuz regions, along with certain parts of the Oromia region. However, in later surveys, these clusters shifted to the eastern parts of the country, notably including the Somali region. Early initiation of breast feeding was associated with reduced chances of neonatal death (Adjusted Odds Ratio [AOR]) = 0.27; 95% Confidence Interval [CI]: 0.23, 0.32). Neonates born at home (AOR = 1.46; 95% CI: 1.16, 1.82) and male babies had a higher likelihood of mortality during the neonatal period compared to their counterparts (AOR = 1.36; 95% CI: 1.24, 1.51). The odds of neonatal mortality increased with the number of children a mother had ever given birth to (AOR = 1.36; 95% CI: 1.24, 1.51). In contrast, longer birth intervals were associated with a reduced risk of neonatal mortality (AOR = 0.76; 95% CI: 0.68, 0.83).

CONCLUSION

The central southern, central-western, north-western, and northern parts of Ethiopia had most of the neonatal death clusters in the first three rounds of DHS while eastern Ethiopia had the highest neonatal mortality clusters in the latest two surveys. Our results underscore the importance for policymakers and health administrators to reassess intervention approaches and reallocate resources to regions identified as hot spots for neonatal mortality. Enhancing the initiation of breastfeeding within the first hour of birth would improve newborn survival rates. Special attention and care need to be given to babies born of smaller sizes.

Early neonatal mortality and determinants in Ethiopia: multilevel analysis of Ethiopian demographic and health survey, 2019

INTRODUCTION

Despite remarkable achievements in improving maternal and child health, early neonatal deaths still persist, with a sluggish decline in Ethiopia. As a pressing public health issue, it requires frequent and current studies to make appropriate interventions. Therefore, by using the most recent Ethiopian Mini Demographic Health Survey Data of 2019, we aimed to assess the magnitude and factors associated with early neonatal mortality in Ethiopia.

METHODS

Secondary data analysis was conducted based on the demographic and health survey data conducted in Ethiopia in 2019. A total weighted sample of 5,753 live births was included for this study. A multilevel logistic regression model was used to identify the determinants of early neonatal mortality. The adjusted odds ratio at 95% Cl was computed to assess the strength and significance of the association between explanatory and outcome variables. Factors with a p-value of < 0.05 are declared statistically significant.

RESULTS

The prevalence of early neonatal mortality in Ethiopia was 26.5 (95% Cl; 22.5-31.08) per 1000 live births. Maternal age 20-35 (AOR, 0.38; 95% Cl, 0.38-0.69), richer wealth index (AOR, 0.47; 95% Cl, 0.23-0.96), having no antenatal care visit (AOR, 1.86; 95% Cl, 1.05-3.30), first birth order (AOR, 3.41; 95% Cl, 1.54-7.56), multiple pregnancy (AOR, 18.5; 95% Cl 8.8-38.9), presence of less than two number of under-five children (AOR, 5.83; 95% Cl, 1.71-19.79) and Somali region (AOR, 3.49; 95% Cl, 1.70-12.52) were significantly associated with early neonatal mortality.

CONCLUSION

This study showed that, in comparison to other developing nations, the nation had a higher rate of early newborn mortality. Thus, programmers and policymakers should adjust their designs and policies in accordance with the needs of newborns and children's health. The Somali region, extreme maternal age, and ANC utilization among expectant moms should all be given special consideration.

Trends and inequalities in neonatal mortality rate in Bangladesh: Evidence from cross-sectional surveys

Background and Aims

Given the significance of addressing neonatal mortality in pursuing the 2030 Sustainable Development Goal on child health, research focus on this area is crucial. Despite the persistent high rates of neonatal mortality rate (NMR) in Bangladesh, there remains a notable lack of robust evidence addressing inequalities in NMR in the country. Therefore, this study aims to fill the knowledge gap by comprehensively investigating inequalities in NMR in Bangladesh.

Methods

The Bangladesh Demographic and Health Survey (BDHS) data from 2000 to 2017 were analyzed. The equity stratifiers used to measure the inequalities were wealth status, mother's education, place of residence, and subnational region. Difference (D) and population attributable fraction (PAF) were absolute measures, whereas population attributable risk (PAR) and ratio (R) were relative measures of inequality. Statistical significance was considered by estimating 95% confidence intervals (CIs) for each estimate.

Results

A declining trend in NMR was found in Bangladesh, from 50.2 in 2000 to 31.9 deaths per 1000 live births in 2017. This study detected significant wealth-driven (PAF: -20.6, 95% CI: -24.9, -16.3; PAR: -6.6, 95% CI: -7.9, -5.2), education-related (PAF: -11.6, 95% CI: -13.4, -9.7; PAR: -3.7, 95% CI: -4.3, -3.1), and regional (PAF: -20.6, 95% CI: -27.0, -14.3; PAR: -6.6, 95% CI: -8.6, -4.6) disparities in NMR in all survey points. We also found a significant urban-rural inequality from 2000 to 2014, except in 2017. Both absolute and relative inequalities in NMR were observed; however, these inequalities decreased over time.

Conclusion

Significant variations in NMR across subgroups in Bangladesh highlight the need for comprehensive, and targeted interventions. Empowering women through improved access to economic resources and education may help address disparities in NMR in Bangladesh. Future research and policies should focus on developing strategies to address these disparities and promote equitable health outcomes for all newborns.

Predictors of neonatal mortality in Ghana: evidence from 2017 Ghana maternal health survey

BACKGROUND

Neonatal mortality contributes about 47% of child mortality globally and over 50% of under-5 deaths in Ghana. There is limited population level analysis done in Ghana on predictors of neonatal mortality.

OBJECTIVES

The objective of the study was to examine the predictors of neonatal mortality in Ghana.

METHOD

This study utilizes secondary data from the 2017 Ghana Maternal Health Survey (GMHS). The GMHS survey focuses on population and household characteristics, health, nutrition, and lifestyle with particular emphasis on topics that affect the lives of newborns and women, including mortality levels, fertility preferences and family planning methods. A total of 10,624 respondents were included in the study after data cleaning. Descriptive statistical techniques were used to describe important background characteristics of the women and Pearson's Chi-squares (χ2) test used to assess association between the outcome (neonatal death) and independent variables. Multivariate logistic regression analysis was done to estimate odd ratios and potential confounders controlled. Confidence level was held at 95%, and a p < 0.05 was considered statistically significant. Data analysis was done using STATA 15.

RESULTS

The prevalence of neonatal mortality was 18 per 1000 live births. ANC attendance, sex of baby, and skin-to-skin contact immediately after birth were predictors of neonatal mortality. Women with at least one ANC visit were less likely to experience neonatal mortality as compared to women with no ANC visit prior to delivery (AOR = 0.11; CI = 0.02-0.56, p = 0.01). Girls were less likely (AOR = 0.68; CI = 0.47-0.98; p = 0.03) to die during the neonatal period as compared to boys. Neonates who were not put skin-to-skin contact immediately after birth were 2.6 times more likely to die within the neonatal period than those who were put skin-to-skin contact immediately after birth (AOR = 2.59; CI = 1.75-3.83, p = 0.00).

CONCLUSION

Neonatal mortality remains a public health concern in Ghana, with an estimated rate of 18 deaths per 1,000 live births. Maternal and neonatal factors such as the sex of the newborn, the number of antenatal care visits, and skin-to-skin contact between the newborn and mother immediately after birth are the predictors of neonatal mortality in Ghana.

The effect of distance to health facility on neonatal mortality in Ethiopia

INTRODUCTION

In Ethiopia, more than half of newborn babies do not have access to Emergency Obstetric and Neonatal Care (EmONC) services. Understanding the effect of distance to health facilities on service use and neonatal survival is crucial to recommend policymakers and improving resource distribution. We aimed to investigate the effect of distance to health services on maternal service use and neonatal mortality.

METHODS

We implemented a data integration method based on geographic coordinates. We calculated straight-line (Euclidean) distances from the Ethiopian 2016 demographic and health survey (EDHS) clusters to the closest health facility. We computed the distance in ESRI ArcGIS Version 10.3 using the geographic coordinates of DHS clusters and health facilities. Generalised Structural Equation Modelling (GSEM) was used to estimate the effect of distance on neonatal mortality.

RESULTS

Poor geographic accessibility to health facilities affects maternal service usage and increases the risk of newborn mortality. For every ten kilometres (km) increase in distance to a health facility, the odds of neonatal mortality increased by 1.33% (95% CI: 1.06% to 1.67%). Distance also negatively affected antenatal care, facility delivery and postnatal counselling service use.

CONCLUSIONS

A lack of geographical access to health facilities decreases the likelihood of newborns surviving their first month of life and affects health services use during pregnancy and immediately after birth. The study also showed that antenatal care use was positively associated with facility delivery service use and that both positively influenced postnatal care use, demonstrating the interconnectedness of the components of continuum of care for maternal and neonatal care services. Policymakers can leverage the findings from this study to improve accessibility barriers to health services.

Does provision of antenatal care in Southern Asia improve neonatal survival? A systematic review and meta-analysis

BACKGROUND

Southern Asia has one of the highest burdens of neonatal mortality worldwide (26/1000 live births). Ensuring that women receive antenatal care from a skilled provider may play an important role in reducing this burden.

OBJECTIVE

This study aimed to determine whether antenatal care received from a skilled provider could reduce neonatal mortality in Southern Asia by systematically reviewing existing evidence.

STUDY DESIGN

Seven databases were searched (MEDLINE, Embase, Cochrane Library, CINAHL, PubMed, PsycINFO, and International Bibliography of the Social Sciences [IBSS]). The key words included: "neonatal mortality," "antenatal care," and "Southern Asia." Nonrandomized comparative studies conducted in Southern Asia reporting on neonatal mortality in women who received antenatal care compared with those who did not were included. Two authors carried out the screening and data extraction. The Risk of Bias Assessment tool for Non-randomized Studies (RoBANS) was used to assess quality of studies. Results were reported using a random-effects model based on odds ratios with 95% confidence intervals.

RESULTS

Four studies were included in a meta-analysis of adjusted results. The pooled odds ratio was 0.46 (95% confidence interval, 0.24 to 0.86) for neonatal deaths among women having at least 1 antenatal care visit during pregnancy compared with women having none. In the final meta-analysis, 16 studies could not be included because of lack of adjustment for confounders, highlighting the need for further higher-quality studies to evaluate the true impact.

CONCLUSION

This review suggests that in Southern Asia, neonates born to women who received antenatal care have a lower risk of death in the neonatal period compared with neonates born to women who did not receive antenatal care. This should encourage health policy to strengthen antenatal care programs in Southern Asia.

Examining the influence of correlates on different quantile survival times: infant mortality in Bangladesh

BACKGROUND

Several studies have identified factors influencing infant mortality, but, to the best of knowledge, no studies assessed the factors considering unequal effects on different survival times of infant mortality in Bangladesh. In this study, it was examined how a set of covariates behaves on different quantile survival times related with the infant mortality.

METHODS

Data obtained from Bangladesh multiple indicator cluster survey (BMICS), 2019 have been used for purpose of the study. A total of 9,183 reproductive women were included in the study who gave their most recent live births within two years preceding the survey. Kaplan-Meier product limit approach has been applied to find the survival probabilities for the infant mortality, and the log-rank test has also been used to observe the unadjusted association between infant mortality and selected covariates. To examine the unequal effects of the covariates on different quantile survival time of infant mortality, the Laplace survival regression model has been fitted. The results obtained from this model have also been compared with the results obtained from the classical accelerated failure time (AFT) and Cox proportional hazard (Cox PH) models.

RESULTS

The infant mortality in Bangladesh is still high which is around 28 per 1000 live births. In all the selected survival regression models, the directions of regression coefficients were similar, but the heterogenous effects of covariates on survival time were observed in quantile survival model. Several correlates such as maternal age, education, gender of index child, previous birth interval, skilled antenatal care provider, immediate breastfeeding etc. were identified as potential factors having higher impact on initial survival times.

CONCLUSION

Infant mortality was significantly influenced by the factors more in the beginning of the infant's life period than at later stages, suggesting that receiving proper care at an early age will raise the likelihood of survival. Policy-making interventions are required to reduce the infant deaths, and the study findings may assist policy makers to revise the programs so that the sustainable development goal 3.2 can be achieved in Bangladesh.

Bayesian spatial analysis of factors influencing neonatal mortality and its geographic variation in Ethiopia

BACKGROUND

Ethiopia is a Sub-Saharan country with very high neonatal mortality rates, varying across its regions. The rate of neonatal mortality reduction in Ethiopia is slow, and Ethiopia may not meet the third United Nations sustainable development target by 2030. This study aimed to investigate the spatial variations and contributing factors for neonatal mortality rates in Ethiopia.

METHODS

We analysed data from the 2016 Ethiopian Demographic and Health Survey (EDHS), which used a two-stage cluster sampling technique with a census enumeration area as primary and households as secondary sampling units. A Bayesian spatial logistic regression model using the Stochastic Partial Differential Equation (SPDE) method was fitted accounting for socio-economic, health service-related and geographic factors.

RESULTS

Higher neonatal mortality rates were observed in eastern, northeastern and southeastern Ethiopia, and the Somali region had higher risks of neonatal mortality. Neonates from frequently drought-affected areas had a higher mortality risk than less drought-affected areas. Application of traditional substances on the cord increased the risk of neonatal mortality (Adjusted Odds Ratio (AOR) = 2.07, 95% Credible Interval (CrI): 1.12 to 4.30) and getting health facility delivery services had a lower odds of neonatal mortality (AOR = 0.60, 95% CrI: 0.37, 0.98).

CONCLUSIONS

Residing in drought-affected areas, applying traditional substances on the umbilical cord and not delivering at health facilities were associated with a higher risk of neonatal mortality. Policy-makers and resource administrators at different administrative levels could leverage the findings to prioritise and target areas identified with higher neonatal mortality rates.

The tipping point of antenatal engagement: A qualitative grounded theory in Tanzania and Zambia

BACKGROUND

Effective antenatal care is fundamental to the promotion of positive maternal and new-born outcomes. International guidance recommends an initial visit in the first trimester of pregnancy, with a minimum of four antenatal visits in total: the optimum schedule being eight antenatal contacts. In low- and middle-income countries, many women do not access antenatal care until later in pregnancy and few have the recommended number of contacts.

AIM

To gain understanding of women's antenatal experiences in Tanzania and Zambia, and the factors that influence antenatal engagement.

METHODS

The study was underpinned by Strauss's grounded theory methodology. Interviews were conducted with 48 women, 16 partners, 21 health care providers and 11 stakeholders, and analysed using constant comparison.

FINDINGS

The core category was 'The tipping point of antenatal engagement', supported by four categories: awareness of health benefits, experiential motivators, influential support, and environmental challenges. Although participants recognised the importance of antenatal care to health outcomes, individual motivations and external influences determined attendance or non-attendance. The 'tipping point' for antenatal engagement occurred when women believed that any negative impact could be offset by tangible gain. For some women non-attendance was a conscious decision, for others it was an unchallenged cultural norm.

CONCLUSION

A complex interplay of factors determines antenatal engagement. Short-term modifiable factors to encourage attendance include the development of strategies for increasing respectful care; use of positive women's narratives, and active community engagement. Further research is required to develop innovative, cost-effective care models that improve health literacy and meet women's needs.

Does attitude towards wife beating determine infant feeding practices during diarrheal illness in sub-Saharan Africa?

Background

Inappropriate feeding practices of children during illness remains a public health problem globally, particularly in sub-Saharan Africa (SSA). One strategy to improve child health outcomes is through women empowerment—measured by wife beating attitude. However, the role of attitude towards wife beating in child feeding practices has not been comprehensively studied. Therefore, we investigated the association between women's attitude towards wife beating and child feeding practices during childhood diarrhea in 28 countries in SSA.

Methods

We analyzed data from the Demographic and Health Survey on 40,720 children under 5 years. Bivariate and multivariate binary logistic regression analyses were applied to assess the association between women's attitude towards wife beating and child feeding practices. The results were presented using adjusted odds ratio (aOR) with 95% confidence intervals (CIs).

Results

The pooled results showed that appropriate feeding practices during diarrheal illness among under-five children was 9.3% in SSA, varying from 0.4% in Burkina Faso to 21.1% in Kenya. Regarding regional coverage, the highest coverage was observed in Central Africa (9.3%) followed by East Africa (5.5%), Southern Africa (4.8%), and West Africa (4.2%). Women who disagreed with wife-beating practices had higher odds of proper child feeding practices during childhood diarrhea compared to those who justified wife-beating practices (aOR = 2.02, 95% CI; 1.17–3.48).

Conclusion

The findings suggest that women’s disagreement with wife beating is strongly associated with proper child feeding practices during diarrheal illness in SSA. Proactive measures and interventions designed to change attitudes towards wife-beating practices are crucial to improving proper feeding practices in SSA.

The impact of community health workers on antenatal and infant health in India: A cross-sectional study

Background

Community health workers (CHWs) are central to India's strategy for reaching the Sustainable Development Goals around maternal and child health. Despite India's significant investment in these programs, few studies have analyzed the effect of CHWs across India.

Objective

This study aims to analyze multiple types of CHWs and their impact on a broad range of antenatal and infant health outcomes across India.

Methods

In this population-based cross-sectional study, we analyzed data of women interviewed by the most recent 2015–2016 National Family Health Survey-4 (NFHS-4) in India. This study performed multiple variable regressions to examine the effect of receiving ANC during pregnancy from 1) any CHW and 2) by specific type of CHW - Accredited Social Health Activist (ASHA), Anganwadi Worker (AWW), and Community/Village Health Worker (defined in Table 1) on antenatal and infant health outcomes.

Results

Of 166,498 women, 14.2% received ANC from any CHW with specifically 5.9% receiving from ASHAs, 10.2% receiving from AWWs, and 0.5% receiving from Community/Village Health Workers. Women who received ANC from an ASHA had increased ANC utilization (OR 1.77; 95% CI 1.65, 1.91) as well as quality (IRR 1.06; 95% CI 1.05, 1.08), increased early initiation of breast feeding (OR 1.20; 95% CI 1.12, 1.29), and decreased one-year mortality (OR 0.75; 95% CI 0.63, 0.88). Women who received ANC from an AWW had increased ANC utilization (OR 2.24; 95% CI 2.12, 2.37) as well as quality (IRR 1.07, 95% CI 1.06, 1.08) and increased early initiation of breast feeding (OR 1.30; 95% CI 1.26, 1.40).

Conclusion

Receiving ANC from ASHAs and AWWs is associated with improved ANC utilization, ANC quality, early initiation of breastfeeding and the key outcome of reduced infant mortality.

•

14% of women received antenatal care from any community health worker.

•

ASHAs improve antenatal care utilization and quality, early initiation of breastfeeding, and infant mortality.

•

Anganwadi workers improve antenatal care utilization and quality as well as early initiation of breastfeeding.

A 12 Years Neonatal Mortality Rate and Its Predictors in Eastern Ethiopia

Introduction. Surviving and thriving of newborn is essential to ending extreme poverty. However, the surviving and thriving of new born is depends on where neonates are born. The true feature of neonatal mortality rate and trends is not well known in the study area. Thus, we aimed to estimate a neonatal mortality incidence in each year, and determine factors associated though pregnancy observation cohort study in Eastern Ethiopia. Methods. The study was conducted in Kersa Health Demographic Surveillance System (KHDSS) among 36 kebeles. We extracted all events (38 541 live birth and 776 neonatal death) occurred between January 1, 2008 and December 30, 2019. Neonatal mortality rate was presented by neonatal death per 1000 live birth with 95% confidence interval in each years, and trends of neonatal morality was described with line regression. Cox proportional regression model was used to assess predictors and presented with an adjusted hazard ratio (AHR) and 95% CI. Results. The estimated cumulative average of neonatal mortality rate in this study was 20.3 (95% CI: 18.9-21.8) per 1000 live births. The rate was decline with regression coefficient β = -1.60. Risk of neonatal death was found to be significantly associated with neonate born to mother living in rural Kersa (AHR = 5.31; 95% CI: 3.07-9.18), born to mother not receiving antenatal care (AHR = 1.43; 95% CI: 1.15-1.78), low birthweight (AHR = 2.59; 95% CI: 2.05-3.27), and preterm newborn (AHR = 12.10; 95% CI: 9.23-15.86). Conclusion. Neonatal mortality in the study site is far from reaching the national and global target goals.

Predictive model and determinants of odds of neonates dying within 28 days of life in Ghana

BACKGROUND

One of the priorities and important current problem in public health research globally is modeling of neonatal mortality and its risk factors in using the appropriate statistical methods. It is believed that multiple risk factors interplay to increase the risk of neonatal mortality. To understand the risk factors of neonatal mortality in Ghana, the current study carefully evaluated and compared the predictive accuracy and performance of two classification models.

METHODS

This study reviewed the birth history data collected on 5884 children born in the 5 years preceding the 2014 Ghana Demographic and Health Survey (GDHS). The 2014 GDHS is a cross-sectional nationally representative household sample survey. The relevant variables were selected using leaps-and-bounds method, and the area under curves were compared to evaluate the predictive accuracy of unweighted penalized and weighted single-level multivariable logistic regression models for predicting neonatal mortality using the 2014 GDHS data.

RESULTS

The study found neonatal mortality prevalence of 2.8%. A sample of 4514 children born in the 5 years preceding the 2014 GDHS was included in the inferential analysis. The results of the current study show that for the unweighted penalized single-level multivariable logistic model, there is an increased risk of neonatal death among babies born to mothers who received prenatal care from non-skilled worker [OR: 3.79 (95% CI: 2.52, 5.72)], multiple births [OR: 3.10 (95% CI: 1.89, 15.27)], babies delivered through caesarian section [OR: 2.24 (95% CI: 1.30, 3.85)], and household with 1 to 4 members [OR: 5.74 (95% CI: 3.16, 10.43)], respectively. The predictive accuracy of the unweighted penalized and weighted single-level multivariable logistic regression models was 82% and 80%, respectively.

CONCLUSION

The study advocates that prudent and holistic interventions should be institutionalized and implemented to address the risk factors identified in order to reduce neonatal death and, by large, improve child and maternal health outcomes to achieve the SDG target 3.2.

Intervention fidelity and its determinants of focused antenatal care package implementation, in south Wollo zone, Northeast Ethiopia

Background

Focused antenatal care is directed at sustaining maternal health and improving fetal wellbeing to ensure birth of a healthy neonate. Failure to implement focused antenatal care can result in inability to reduce maternal and perinatal morbidity and mortality in low income countries. Due to evidence-practice gaps, however, thousands of maternal, fetal and neonatal lives are still lost every day, mostly from preventable causes. This study aimed to assess focused antenatal care package’s intervention fidelity and its determinant factors in South Wollo Zone, Northeast Ethiopia.

Methods

A cross-sectional study design was employed and a total of 898 women who gave birth in the last 6 months prior to data collection were included. Also 16 health extension workers, working in ten selected health posts, were included. Interviews and self-administered questionnaires were used to collect data from mothers and health extension workers. Ten [10] health posts were audited to assess availability and functionality of drugs and supplies to provide focused antenatal care. Mothers were asked whether or not the required level of care was provided. Health extension workers were provided with self-administered questionnaires to assess socio-demographic characteristics, reception of training, facilitation strategies for the implementation of focused antenatal care and ability to classify danger signs. Multilevel linear regression analysis was performed to identify individual and organizational level’s factors influencing focused antenatal care package intervention fidelity.

Results

Overall weighted average focused antenatal care package intervention fidelity (implemented as intended/planned) was 49.8% (95% CI: 47.7–51.8), which means the average number of focused antenatal care package interventions women received is 49.8%. Health extension workers implemented 55.1% and skilled providers (nurses, midwives, health officers or medical doctors) 44.9% of focused antenatal care package interventions. Overall antenatal care coverage, irrespective of frequency (at least one visit), was 752/898 women (83.7%; 95% CI: 81.3–86.1); 263/752 women (35.0%; 95% CI: 31.6–38.4) received at least four antenatal visits and only 46/752 women (6.1%; 95% CI: 4.4–7.8) received all recommended components of focused antenatal care. Previous pregnancy-related problems, paternal education and implementation of facilitation strategies were found to be significant factors enhancing focused antenatal care package intervention fidelity.

Conclusion

Focused antenatal care package intervention fidelity in the study area was low; this may imply that the current level of maternal, perinatal and neonatal mortality might be partly due to the low level of focused antenatal care intervention fidelity. Improving implementation of facilitation strategies is highly required to contribute to the reduction of those mortalities.

Trends and projections of under-5 mortality in Bangladesh including the effects of maternal high-risk fertility behaviours and use of healthcare services

OBJECTIVE

This study examines trends and puts forward projections of under-5 mortality (U5M) in Bangladesh and identifies the effects of maternal high-risk fertility behaviours and use of healthcare services.

METHODS

Data from seven waves of the Bangladesh Demographic and Health Survey (1994-2014) were analyzed for trends and projections of U5M and a Chi-square (χ2) test was used to identify if there was any association with maternal high-risk fertility behaviours and use of healthcare services. A multivariate logistic regression model was used to determine the effects of fertility behaviors and healthcare usage on the occurrence of U5M adjusting with confounders.

RESULTS

U5M declined from 82.5 to 41.0 per 1000 livebirths during 1994-2014 and is projected to further reduce to 17.6 per 1000 livebirths by 2030. The study identified a noticeable regional variation in U5M with maternal high-risk fertility behaviours including age at birth <18 years (aOR: 1.84, 95% CI: 1.23-2.76) and birth interval <24 months (aOR: 1.56, 95% CI: 1.02-2.37) found to be significant determinants. There was a 39-53% decline in this rate of mortality among women that had used antenatal care services at least four times (aOR, 0.51, 95% CI: 0.27-0.97), delivery care (aOR, 0.47, 95% CI: 0.24-0.95), and had received postnatal care (aOR, 0.61, 95% CI: 0.41-0.91) in their last birth. Cesarean section was found to be associated with a 51% reduction in U5M (aOR, 0.49, 95% CI: 0.29-0.82) compared to its non-use.

CONCLUSION

The Sustainable Development Goals require a U5M rate of 25 per 1000 livebirths to be achieved by 2030. This study suggests that with the current trend of reduction, Bangladesh will achieve this target before the deadline. This study also found that maternal high-risk fertility behaviours and non-use of maternal healthcare services are very prevalent in some regions of Bangladesh and have increased the occurrence of U5M in those areas. This suggests therefore, that policies and programmes designed to reduce the pregnancy rates of women that are at risk and to encourage an increase in the use of maternal healthcare services are needed.

Factors associated with neonatal mortality in a tertiary hospital in Phnom Penh, Cambodia

This study aimed to identify hospital neonatal mortality rate (NMR) and the causes of neonatal deaths, and to understand risk factors associated with neonatal mortality in a national tertiary hospital in Cambodia. The study included all newborn infants, aged 0-28 days old, hospitalized in the Pediatrics department of Khmer-Soviet Friendship Hospital between January 2016 and December 2017. In total, 925 infants were included in the study. The mean gestational age was 35.9 weeks (range, 24-42 weeks). Preterm infants and low birth weight accounted for 47.5% and 56.7%, respectively. With respect to payment methods, the government (53.5%) and non-governmental organizations (NGO) (13.7%) paid the fees as the families were not in a financial position to do so. The hospital NMR at the Pediatrics department was 9.3%. Respiratory distress syndrome (37.2%) was the main cause of deaths followed by hypoxic-ischemic encephalopathy (31.4%) and neonatal infection (21.0%). Factors associated with neonatal mortality were Apgar score at 5th minute <7 (adjusted odds ratio (AOR) = 3.57), payment by the government or NGO (AOR = 11.32), admission due to respiratory distress (AOR = 11.94), and hypothermia on admission (AOR = 9.41). The hospital NMR in the Pediatrics department was 9.3% (95% confidence interval 7.50-11.35) at Khmer-Soviet Friendship Hospital; prematurity and respiratory distress syndrome were the major causes of neonatal mortality. Introducing continuous positive airway pressure machine for respiratory distress syndrome and creating neonatal resuscitation guidelines and preventing hypothermia in delivery rooms are required to reduce the high NMR.

The effect of antenatal care on perinatal outcomes in Ethiopia: A systematic review and meta-analysis

BACKGROUND

The estimated annual global perinatal and neonatal death is four million. Stillbirths are almost equivalent to neonatal mortality, yet they have not received the same attention. Antenatal care is generally thought to be an effective method of improving pregnancy outcomes, but its effectiveness as a means of reducing perinatal mortality has not been evaluated in Ethiopia. Therefore, we will identify the pooled effect of antenatal care on perinatal outcomes in Ethiopia.

METHODS

Medline, Embase, Cinahl, African journal online and Google Scholar was searched for articles published in English language between January 1990 and May 2020. Two independent assessors selected studies and extracted data from eligible articles. The Risk of Bias Assessment tool for Non-Randomized Studies was used to assess the quality of each included study. Data analysis was performed using RevMan 5.3. Heterogeneity and publication bias were assessed using I2 test statistical significance and Egger's test for small-study effects respectively. The random effect model was employed, and forest plot was used to present the risk ratio (RR) with 95% confidence interval (CI).

RESULTS

Thirteen out of seventeen included studies revealed antenatal care utilization had a significant association with perinatal outcomes. The pooled risk ratio by the random-effects model for perinatal death was 0.42 (95% CI: 0.34, 0.52); stillbirth 0.34 (95% CI: 0.25, 0.46); early neonatal death 0.85 (95% CI: 0.21. 3.49).

CONCLUSION

Women who attended at least one antenatal care visit were more likely to give birth to an alive neonate that survives compared to their counterpart. Therefore, the Ethiopian Ministry of health and other stakeholders should design tailored interventions to increase antenatal care utilization since it has been shown to reduce perinatal mortality.

The impact of antenatal care on under-five mortality in Ethiopia: a difference-in-differences analysis

Background

Sub-Saharan Africa, as opposed to other regions, has the highest under-five mortality rates yet makes the least improvement in reducing under-five mortality. Despite the decline, Ethiopia is among the top ten countries contributing the most to global under-five mortalities. This article examines the impact of the number of antenatal care and the timing of first antenatal care on child health outcomes. We specifically investigated if the utilization of antenatal care services positively affects the reduction of under-five mortality.

Methods

We employ a difference-in-differences design with propensity score matching to identify direct causal effects of antenatal care on under-five mortality based on the Ethiopian Demographic Health Survey data of 2011 and 2016. Our sample includes 22 295 women between the ages of 14–49 who had antenatal care visits at different times before delivery.

Results

The study revealed 1 481 cases of reported under-five mortality. 99.0% of that under-five mortality cases are women who had less than eight antenatal care visits, while only 1% of that is by women who had eight or more antenatal care visits. Antenatal care visit decreases the likelihood of under-five mortality in Ethiopia by 45.2% (CI = 19.2–71.3%, P-value < 0.001) while the timing of first antenatal care within the first trimester decreases the likelihood of under-five mortality by 10% (CI = 5.7–15.6%, P-value < 0.001).

Conclusions

To achieve a significant reduction in the under-five mortality rate, Intervention programs that encourages more antenatal care visits should be considered. This will improve child survival and help in attaining Sustainable Development Goal targets.

Prevention of social exclusion and role of antenatal care by BRAC community health workers in improving safe motherhood and neonatal care in urban slums of Bangladesh

The transformation of the BRAC MANOSHI programme from humanitarian to a social enterprise model, has made it increasingly urgent to enumerate the minimum number of door-to-door antenatal care (ANC) visits by community health workers (CHWs), for the purpose of effectively improving facility delivery. Thus prevent social exclusion of poor slum communities in Bangladesh with regard to safe motherhood and essential newborn care (ENC). This cross-sectional study was conducted, during March–July, 2015 in slums of Chittagong, Dhaka and Sylhet city corporations of Bangladesh. A census was conducted among 25,700 households covering 10 branch offices of MANOSHI to identify women with a delivery outcome in the preceding three years of the survey. A total of 1100 respondents were interviewed randomly through a structured questionnaire. These women were stratified into three categories-1, 2 & 3, consisting of 497, 205 and 398 women respectively. Women in category-1 did not receive any ANC checkup from the BRAC CHWs, while women in category-2 and category-3 received one to three and ≥four ANC checkups from BRAC CHWs respectively. Data was analysed using STATA Version 13 (Chicago Inc.). Findings revealed that women, who received ≥four ANC checkups from BRAC CHWs, are 25% more likely to avail facility delivery [adjusted Prevalence Ratio (aPR) 1.25; 95% confidence interval (CI) (1.01–1.54)] compared to the women who did not receive any ANC from BRAC CHWs. Women in category-2 [aPR3.64; 95% CI (1.76–7.54)] and in category-3 [aPR5.92; 95% CI (3.04–11.53)] respectively had four and six folds higher tendency to receive postnatal care (PNC) within 48 hours after delivery. Furthermore, facility delivery improved PNC assisted by medically trained providers (MTPs) within 48 hours after delivery and ENC in both categories 2 & 3. The evidence shows that at least four ANC visits of BRAC CHWs can increase institutional delivery, and which can further facilitate PNC and ENC visits. At present, the BRAC MANOSHI programme needs to implement feasible strategies to include pregnant women in the slums in receiving at least four ANC checkups by BRAC CHWs for ensuring safe motherhood and newborn care.

Unattended Pregnancies and Perinatal Mortality in Georgia

Introduction

The majority of pregnant women in Georgia attend the free-of-charge, national antenatal care (ANC) programme, but over 5% of pregnancies in the country are unattended. Moreover, Georgia has one of the highest perinatal mortality (PM) rates in Europe (11.7/1000 births).

Purpose

To assess the association between unattended pregnancies and the risk of PM.

Methods

Data were extracted from the Georgian Birth Registry (GBR) and the national vital registration system. All mothers who had singleton births and delivered in medical facilities in Georgia in 2017–2018 were included in the study and categorised into attended pregnancies (at least one ANC visit during pregnancy) and unattended pregnancies (no ANC visits during pregnancy). After exclusions, the study sample included 101,663 women and their newborns, of which 1186 were either stillborn or died within 7 days. Logistic regression analysis was used to assess the effect of unattended pregnancies on PM.

Results

During the study period, the PM rate was 12.9/1000 births. In total, 5.6% of women had unattended pregnancies. The odds of PM among women with unattended pregnancies were more than double those among women with attended pregnancies (odds ratio=2.21, [95% confidence interval: 1.81–2.70]). Multiparous women with higher education and who resided/delivered outside of Tbilisi were significantly less likely to experience PM.

Conclusion

The risk of PM doubled among women with unattended pregnancies. Six percent of PM cases were attributable to unattended pregnancies. Targeting women with previous unattended pregnancies will likely reduce the PM rate in Georgia.