A population-based study of effect of multiple birth on infant mortality in Nigeria

The risk factors of infant mortality in Somalia: evidence from the 2018/2019 Somali health & demographic survey

BACKGROUND

Globally, infant mortality is one of the major public health threats, especially in low-income countries. The infant mortality rate of Somalia stands at 73 deaths per 1000 live births, which is one of the highest infant death rates in the region as well as in the world. Therefore, the aim of this study was to ascertain the risk factors of infant mortality in Somalia using national representative data.

METHOD

In this study, data from the Somali Health and Demographic Survey (SHDS), conducted for the first time in Somalia in 2018/2019 and released in 2020, were utilized. The analysis of the data involved employing the Chi-square test as a bivariate analysis. Furthermore, a multivariate Cox proportional hazard model was applied to accommodate potential confounders that act as risk factors for infant death.

RESULTS

The study found that infant mortality was highest among male babies, multiple births, and those babies who live in rural areas, respectively, as compared to their counterparts. Those mothers who delivered babies with small birth size and belonged to a poor wealth index experienced higher infant mortality than those mothers who delivered babies with average size and belonged to a middle or rich wealth index. Survival analysis indicated that mothers who did use ANC services (HR = 0.740; 95% CI = 0.618-0.832), sex of the baby (HR = 0.661; 95% CI = 0.484-0.965), duration of pregnancy (HR = 0.770; 95% CI = 0.469-0.944), multiple births (HR = 1.369; 1.142-1.910) and place of residence (HR = 1.650; 95% CI = 1.451-2.150) were found to be statistically significantly related to infant death.

CONCLUSION

The study investigated the risk factors associated with infant mortality by analyzing data from the first Somali Health and Demographic Survey (SHDS), which included a representative sample of the country's population. Place of residence, gestational duration, infant's gender, antenatal care visits, and multiple births were identified as determinants of infant mortality. Given that infant mortality poses a significant public health concern, particularly in crisis-affected countries like Somalia, intervention programs should prioritize the provision of antenatal care services, particularly for first-time mothers. Moreover, these programs should place greater emphasis on educating women about the importance of receiving antenatal care and family planning services, in order to enhance their awareness of these vital health services and their positive impact on infant survival rates.

Neonatal mortality rate and determinants among births of mothers at extreme ages of reproductive life in low and middle income countries

Neonatal mortality, which refers to the death of neonates during the first 28 completed days of life, is a critical global public health concern. The neonatal period is widely recognized as one of the most precarious phases in human life. Research has indicated that maternal extreme ages during reproductive years significantly impact neonatal survival, particularly in low- and middle-income countries. Consequently, this study aims to evaluate the neonatal mortality rate and determinants among neonates born to mothers at extreme reproductive ages within these countries. A secondary analysis of demographic and health surveys conducted between 2015 and 2022 in 43 low- and middle-income countries was performed. The study included a total sample of 151,685 live births. Researchers utilized a multilevel mixed-effects model to identify determinants of neonatal mortality. The measures of association were evaluated using the adjusted odds ratio within a 95% confidence interval. The neonatal mortality rate among neonates born to mothers at extreme ages of reproductive life in low- and middle-income countries was 28.96 neonatal deaths per 1000 live births (95% CI 28.13-29.82). Factors associated with higher rates of neonatal mortality include male gender, low and high birth weight, maternal education (no or low), home deliveries, multiple births, short preceding birth intervals, lack of postnatal checkups, and countries with high fertility and low literacy rates. This study sheds light on the neonatal mortality rates among neonates born to mothers at extreme ages of reproductive life in low- and middle-income countries. Notably, we found that neonatal mortality was significantly higher in this group compared to neonatal mortality rates reported regardless of maternal ages. Male babies, low and high birth-weighted babies, those born to mothers with no or low education, delivered at home, singletons, babies born with a small preceding birth interval, and those without postnatal checkups faced elevated risks of neonatal mortality. Additionally, neonates born in countries with high fertility and low literacy rates were also vulnerable. These findings underscore the urgent need for targeted interventions tailored to mothers at extreme ages. Policymakers and healthcare providers should prioritize strategies that address specific risk factors prevalent in these vulnerable populations. By doing so, we can improve neonatal outcomes and ensure the survival of these newborns during the critical neonatal period.

Women's education and attitudes toward malaria in children: Evidence from Nigeria

This study examined the effect of women's educational level on their perceptions regarding the deadliness of malaria in children. The regression results revealed that women with primary education did not differ statistically from the reference category (i.e. women with no education) in terms of their likelihood of perceiving malaria as a deadly disease in children. In contrast, women with secondary education were 4.3 percentage points more likely to perceive malaria as a deadly disease compared to the reference category. Similarly, women with higher education were 8 percentage points more likely to perceive malaria as a deadly disease compared to the reference category. These results highlight the crucial role of women's education in shaping their perceptions of disease in children, which also has implications for child health outcomes.

Factors associated with infant mortality in Nigeria: A scoping review

BACKGROUND

Infant mortality persists as a global public health concern, particularly in lower-middle-income countries (LIMCs) such as Nigeria. The risk of an infant dying before one year of age is estimated to be six times higher in Africa than in Europe. Nigeria recorded an infant mortality rate of 72.2 deaths per 1,000 live births in 2020, in contrast to the global estimate of 27.4 per 1,000 live births. Several studies have been undertaken to determine the factors influencing infant mortality.

OBJECTIVE

This scoping review sought to identify and summarise the breadth of evidence available on factors associated with infant mortality in Nigeria.

METHODS

This review followed the five-stage principles of Arksey and O'Malley's framework. Four electronic databases were searched with no limit to publication date or study type: Ovid MEDLINE, PubMed, CINAHL Complete, and Web of Science. Selected studies were imported into Endnote software and then exported to Rayyan software where duplicates were removed. Included articles were thematically analysed and synthesised using the socioecological model.

RESULTS

A total of 8,139 references were compiled and screened. Forty-eight articles were included in the final review. At the individual level, maternal- and child-related factors were revealed to influence infant mortality; socioeconomic and sociocultural factors at the interpersonal level; provision and utilisation of health services, health workforce, hospital resources and access to health services at the organisational level; housing/neighbourhood and environmental factors at the community level; and lastly, governmental factors were found to affect infant mortality at the public policy level.

CONCLUSION

Factors related to the individual, interpersonal, organisational, community and public policy levels were associated with infant mortality in Nigeria.

Prevalence and risk factors associated with under-five mortality in the Solomon Islands: an investigation from the 2015 Solomon Islands demographic and health survey data

Background

Annually, over five million children die before their fifth birthday worldwide, with 98% of these deaths occurring in low-and middle-income countries. The prevalence and risks for under-five mortality are not well-established for the Solomon Islands.

Methods

We used the Solomon Islands Demographic and Health Survey 2015 data (SIDHS 2015) to estimate the prevalence and risk factors associated with under-five mortality.

Findings

Neonatal, infant, child and under-five mortality prevalence were 8/1000, 17/1000, 12/1000 and 21/1000 live births, respectively. After adjustment for potential confounders, neonatal mortality was associated with no breastfeeding [aRR 34.80 (13.60, 89.03)], no postnatal check [aRR 11.36 (1.22, 106.16)], and Roman Catholic [aRR 3.99 (1.34, 11.88)] and Anglican [aRR 2.78 (0.89, 8.65); infant mortality to no breastfeeding [aRR 11.85 (6.15, 22.83)], Micronesian [aRR 5.54 (1.67, 18.35)], and higher birth order [aRR 2.00 (1.03, 3.88)]; child mortality to multiple gestation [aRR 6.15 (2.08, 18.18)], Polynesian [aRR 5.80 (2.48, 13.53)], and Micronesian [aRR 3.65 (1.46, 9.10)], cigarette and tobacco [aRR 1.77 (0.79, 3.96)] and marijuana use [aRR 1.94 (0.43, 8.73)] and rural residence [aRR 1.85 (0.88, 3.92)]; under-five mortality to no breastfeeding [aRR 8.65 (4.97, 15.05)], Polynesian [aRR 3.23 (1.09, 9.54)], Micronesian [aRR 5.60 (2.52, 12.46)], and multiple gestation [aRR 3.34 (1.26, 8.88)]. Proportions of 9% for neonatal and 8% of under-five mortality were attributable to no maternal tetanus vaccination.

Interpretation

Under-five mortality in the Solomon Islands from the SIDHS 2015 data was attributable to maternal health, behavioural, and sociodemographic risk factors. We recommended future studies to confirm these associations.

Funding

No funding was declared to support this study directly.

Incidence of infant mortality and its predictors in East Africa using Gompertz gamma shared frailty model

Background

Globally, infant mortality is a major public health concern and a sensitive indicator of countries' socio-economic and health status. Despite the substantial reduction of under-five mortality in sub-Saharan African countries specifically in East Africa, the infant mortality rate remains highest and too far below to achieve the WHO target. As to our search of the literature is concerned, there is a dearth of evidence on the incidence and predictors of infant mortality in East Africa. Therefore, this study investigated the incidence of infant mortality and its predictors in East Africa.

Methods

The present study has utilized 138,803 weighted samples from Demographic and Health Surveys (DHSs) of 12 East African countries. Considering the hierarchical nature of DHS data shared frailty parametric survival models were fitted and compared based on deviance (-2LLR), AIC, and BIC. Gompertz gamma shared frailty model was the best-fitted model for the data since it had the lowest deviance, AIC, and BIC values. Variables with a p-value < 0.2 in the bi-variable analysis were considered for the multivariable analysis. In the multivariable Gompertz gamma shared analysis, the Adjusted Hazard Ratio (AHR) with 95% Confidence Interval (CI) was reported to declare the significant predictors of infant mortality.

Results

The infant mortality rate in East Africa was 41.41 per 1000 live births. Mothers aged 25–34 years, wanted birth, health facility delivery, 1–3 ANC visit, being 2nd- 4th birth order, 5th and above, the birth interval of 24–48 months, and birth interval of 49 months and above were significantly associated with lower risk of infant mortality. Whereas women who didn’t have formal education, women who didn't participate in making health care decisions making, being male children, cesarean delivery, small size at birth, and large size at birth were significantly associated with a higher risk of infant mortality.

Conclusion

Despite the substantial progress in improving maternal and child health, this study showed that infant mortality is still a major public health concern in East Africa. Maternal age, place of delivery, maternal education, birth size, sex of the child, mode of delivery, women's autonomy, birth order, birth interval, and ANC visit were found to be significant predictors of infant mortality. Therefore, public health interventions enhancing health facility delivery, ANC visit, maternal education, birth spacing, and empowering women are crucial for reducing the incidence of infant mortality in East Africa.

Evolution in caesarean section practices in North Kivu: Impact of caregiver training

INTRODUCTION

A caesarean section is a major obstetric procedure that can save the life of mother and child. Its purpose is to protect the mother's health from the complications of childbirth and to protect the baby's health. In sub-Saharan Africa (SSA), there are major inequalities in access to caesarean sections and significant variations in practices to determine the indications for the procedure. Periodic analyses of maternal deaths have shown that more than half of maternal and new born deaths are due to suboptimal care and are therefore potentially preventable. The objective of our study is to assess the impact of health staff training under the PADISS project (to support the health system's integrated development) on the quality of CS procedures in North Kivu, by comparing two periods.

MATERIAL AND METHODS

The populations compared were recruited from the referral hospitals in North Kivu, DRC (Democratic Republic of Congo). The first (group 1) was made up of patient files studied retrospectively for the period from 01/11/2013 to 01/01/2016. The second group (group 2), studied prospectively, comprised patient files from June 2019 to January 2020. Obstetric, maternal and foetal data were compared. Statistical analyses were performed using STATA/IC 15.0 for Windows. Univariate and multiple logistic regression was performed to determine which characteristics are associated with maternal and perinatal morbidity and mortality. A p value < 0.05 was considered statistically significant.

RESULTS

CS frequency was approximately 17% in both study periods. We observed a CS frequency of about 34% at North Kivu provincial hospital for the two populations studied. The main indications for CS were dystocia, foetal distress and scarred uterus for both populations. In the population studied prospectively, after the implementation of health staff training, there were fewer incidence rate of dystocia, foetal distress and neonatal death, a more complete patient record, shorter hospital stay, and fewer blood transfusions but more incidence rate of scarred uterus, post-operative complications and low birth weight. Intervention had no statistically significant impact on low birth weight (OR = 1.9, p = 0.13), on neonatal mortality (OR = 0.69, p = 0.21).

CONCLUSION

Our study shows a decrease in neonatal deaths, dystocia and foetal distress, but an increase in post-operative complications, maternal deaths and cases of scarred uterus and low birth weight. However, multiple logistic regression did no support the conclusion.

Geographic and socioeconomic inequalities in the survival of children under-five in Nigeria

Despite a substantial decline in child mortality globally, the high rate of under-five mortality in Nigeria is still one of the main public health concerns. This study investigates inequalities in geographic and socioeconomic factors influencing survival time of children under-five in Nigeria. This is a retrospective cross-sectional quantitative study design that used the latest Nigeria Demographic Health Survey (2018). Kaplan–Meier survival estimates, Log-rank test statistics, and the Cox proportional hazards were used to assess the geographic and socioeconomic differences in the survival of children under-five in Nigeria. The Kaplan–Meier survival estimates show most under-five mortality occur within 12 months after birth with the poorest families most at risk of under-five mortality while the richest families are the least affected across the geographic zones and household wealth index quintiles. The Cox proportional hazard regression model results indicate that children born to fathers with no formal education (HR: 1.360; 95% CI 1.133–1.631), primary education (HR: 1.279; 95% CI 1.056–1.550) and secondary education (HR: 1.204; 95% CI 1.020–1.421) had higher risk of under-five mortality compared to children born to fathers with tertiary education. Moreover, under-five mortality was higher in children born to mothers’ age ≤ 19 at first birth (HR: 1.144; 95% CI 1.041–1.258). Of the six geopolitical zones, children born to mothers living in the North-West region of Nigeria had 63.4% (HR 1.634; 95% CI 1.238–2.156) higher risk of under-five mortality than children born to mothers in the South West region of Nigeria. There is a need to focus intervention on the critical survival time of 12 months after birth for the under-five mortality reduction. Increased formal education and target interventions in geopolitical zones especially the North West, North East and North Central are vital towards achieving reduction of under-five mortality in Nigeria.

Observational study on necrotizing enterocolitis in neonates born to SARS-CoV-2-positive mothers

Background

The impact of the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) pandemic on expectant mother and their babies extends to many aspects of life. Necrotizing enterocolitis (NEC) has been recognized as a life-threatening gastrointestinal inflammatory process in neonates that has high rates of morbidity and mortality.

Objective

To investigate factors associated with NEC in hospitalized neonates whose mothers were SARS-CoV-2-positive and their relationship to mortality.

Method

This observational study was conducted from May 2020 to March 2021. All neonates who were hospitalized, after confirming that the mother was SARS-CoV-2-positive, were included in this study. The confirmation of positive SARS-CoV-2 was determined according to the reverse transcription-polymerase chain reaction (PCR) assay. The neonatal SARS-CoV-2 test was performed on the first day of birth. NEC was established based on a suggestive clinical presentation and abnormal abdominal radiographs.

Results

Of the 125 neonates enrolled in this study, there were 5 neonates who developed NEC and only one survived. Significant associated factors with NEC included lower birth weight (p < 0.001), lower gestational age (p < 0.001), positive SARS-CoV-2 PCR results (OR = 15.333; 95% CI = 2.074–113.381, p = 0.007), asphyxia (OR = 13.143; 95% CI = 1.411–122.443, p = 0.024), and mortality (OR = 156.000; 95% CI = 13.157–1849.623; p < 0.001). Mortality was significantly associated with lower gestational age (p = 0.025), cesarean section delivery (p = 0.025), and asphyxia (p = 0.025).

Conclusion

Significant associated factors with NEC in neonates born to SARS-CoV-2-positive mothers included positive SARS-CoV-2 PCR results, asphyxia, lower gestational age, and lower birth weight. In addition to caesarean section delivery, these factors were related to mortality in neonates in such conditions.

•

There is an association between SARS-CoV-2 positive mothers and the incidence of NEC in their neonates.

•

Significant associated factors with NEC in neonates born to SARS-CoV-2-positive mothers included positive SARS-CoV-2, asphyxia, lower gestational age, and lower birth weight.

•

There is a link between NEC and mortality in neonates born to SARS-CoV-2-positive mothers.

Assessment and validation of the Community Maternal Danger Score algorithm

BACKGROUND

High rates of maternal mortality in low-and-middle-income countries (LMICs) are associated with the lack of skilled birth attendants (SBAs) at delivery. Risk analysis tools may be useful to identify pregnant women who are at risk of mortality in LMICs. We sought to develop and validate a low-cost maternal risk tool, the Community Maternal Danger Score (CMDS), which is designed to identify pregnant women who need an SBA at delivery.

METHODS

To design the CMDS algorithm, an initial scoping review was conducted to identify predictors of the need for an SBA. Medical records of women who delivered at the Federal Medical Centre in Makurdi, Nigeria (2019-2020) were examined for predictors identified from the literature review. Outcomes associated with the need for an SBA were recorded: caesarean section, postpartum hemorrhage, eclampsia, and sepsis. A maternal mortality ratio (MMR) was determined. Multivariate logistic regression analysis and area under the curve (AUC) were used to assess the predictive ability of the CMDS algorithm.

RESULTS

Seven factors from the literature predicted the need for an SBA: age (under 20 years of age or 35 and older), parity (nulliparity or grand-multiparity), BMI (underweight or overweight), fundal height (less than 35 cm or 40 cm and over), adverse obstetrical history, signs of pre-eclampsia, and co-existing medical conditions. These factors were recorded in 589 women of whom 67% required an SBA (n = 396) and 1% died (n = 7). The MMR was 1189 per 100,000 (95% CI 478-2449). Signs of pre-eclampsia, obstetrical history, and co-existing conditions were associated with the need for an SBA. Age was found to interact with parity, suggesting that the CMDS requires adjustment to indicate higher risk among younger multigravida and older primigravida women. The CMDS algorithm had an AUC of 0.73 (95% CI 0.69-0.77) for predicting whether women required an SBA, and an AUC of 0.85 (95% CI 0.67-1.00) for in-hospital mortality.

CONCLUSIONS

The CMDS is a low-cost evidence-based tool that uses 7 risk factors assessed on 589 women from Makurdi. Non-specialist health workers can use the CMDS to standardize assessment and encourage pregnant women to seek an SBA in preparation for delivery, thus improving care in countries with high rates of maternal mortality.

Time to death and its associated factors among infants in sub-Saharan Africa using the recent demographic and health surveys: shared frailty survival analysis

BACKGROUND

Globally, approximately 4.1 million infants died, accounting for 75% of all under-five deaths. In sub-Saharan Africa (SSA), infant mortality was 52.7/1000 live births in 2018 This study aimed to assess the pooled estimate of infant mortality rate (IMR), time to death, and its associated factors in SSA using the recent demographic and health survey dataset between 2010 and 2018.

METHODS

Data were retrieved from the standard demographic and health survey datasets among 33 SSA countries. A total of 93,765 samples were included. The data were cleaned using Microsoft Excel and STATA software. Data analysis was done using R and STATA software. Parametric shared frailty survival analysis was employed. Statistical significance was declared as a two-side P-value < 0.05.

RESULTS

The pooled estimate of IMR in SSA was 51 per 1000 live births (95% Confidence Interval (CI): 46.65-55.21). The pooled estimate of the IMR was 53 in Central, 44 in Eastern, 44 in Southern, and 57 in Western Africa per 1000 live births. The cumulative survival probability at the end of 1 year was 56%. Multiple births (Adjusted Hazard ratio (AHR) = 2.68, 95% CI: 2.54-2.82), low birth weight infants (AHR = 1.28, 95% CI: 1.22-1.34), teenage pregnancy (AHR = 1.19, 95 CI: 1.10-1.29), preceding birth interval <  18 months (AHR = 3.27, 95% CI: 3.10-3.45), birth order ≥ four (AHR = 1.14, 95% CI:1.10-1.19), home delivery (AHR = 1.08, 95% CI: 1.04-1.13), and unimproved water source (AHR = 1.07, 95% CI: 1.01-1.13), female sex (AHR = 0.86, 95% CI: 0.83-0.89), immediately breastfeed (AHR = 0.24, 95% CI: 0.23-0.25), and educated mother (AHR = 0.88, 95% CI: 0.82-0. 95) and educated father (AHR = 0.90, 95% CI: 0.85-0.96) were statistically significant factors for infant mortality.

CONCLUSION

Significant number of infants died in SSA. The most common cause of infant death is a preventable bio-demographic factor. To reduce infant mortality in the region, policymakers and other stakeholders should pay attention to preventable bio-demographic risk factors, enhance women education and improved water sources.

Under-5 Mortality and Its Associated Factors in Northern Nigeria: Evidence from 22,455 Singleton Live Births (2013-2018)

The northern geopolitical zones (NGZs) continue to report the highest under-5 mortality rates (U5MRs) among Nigeria's six geopolitical zones. This study was designed to identify factors related to under-5 mortality (U5M) in the NGZs. The NGZ populations extracted from the 2018 Nigeria Demographic and Health Survey were explored to assess the factors associated with U5M using logistic regression, generalised linear latent, and mixed models. Between 2013 and 2018, the northwest geopolitical zone reported the highest U5MR (179 deaths per 1000 live births; 95% confidence interval [CI]: 163-194). The adjusted model showed that geopolitical zone, poor household, paternal occupation, perceived children's body size at birth, caesarean delivery, and mothers and fathers' education were highly associated with increased odds of U5M. Other significant factors that influenced U5M included children of fourth or higher birth order with shorter interval ≤ 2 years (adjusted odds ratio [aOR] = 1.68; CI: 1.42-1.90) and mothers who did not use contraceptives (aOR = 1.41, CI: 1.13-1.70). Interventions are needed and should primarily spotlight children residing in low-socioeconomic households. Educating mothers on the benefits of contraceptive use, child spacing, timely and safe caesarean delivery and adequate care for small-sized babies may also reduce U5M in Nigeria, particularly in the NGZs.

Preceding child survival status and its effect on infant and child mortality in India: An evidence from National Family Health Survey 2015-16

Background

India has achieved impressive gains in child survival over the last two decades; however, it was not successful in attaining MDG 2015 goals. The study’s objective is to inquire how the survival status of the preceding child affects the survival of the next born child.

Methods

This is a retrospective analysis of data from the National Family Health Survey, 2015–16. Analysis was restricted to women with second or higher-order births because women with first-order births do not have a preceding child. Proportional hazards regression, also called the Cox regression model, has been used to carry out the analysis. Kaplan–Meier (K–M) survival curves were also generated, with a focus on preceding birth intervals.

Results

Results found that female children were more likely to experience infant mortality than their male counterparts. Children born after birth intervals of 36+ months were least likely to experience infant mortality. Mother’s education and household wealth are two strong predictors of child survival, while the place of residence and caste did not show any effect in the Cox proportional model. Infant and child deaths are highly clustered among those mothers whose earlier child is dead.

Conclusion

Maternal childbearing age is still low in India, and it poses a high risk of infant and child death. Education is a way out, and there is a need to focus on girl’s education. The government shall also focus on raising awareness of the importance of spacing between two successive births. There is also a need to create a better health infrastructure catering to the needs of rich and poor people alike.

Determinants of institutional delivery in Sub-Saharan Africa: findings from Demographic and Health Survey (2013-2017) from nine countries

Introduction

Institutional delivery is a major concern for a country’s long-term growth. Rapid population development, analphabetism, big families, and a wider range of urban-rural health facilities have had a negative impact on institutional services in Sub-Saharan Africa (SSA) countries. The aim of this study was to look into the factors that influence women’s decision to use an institutional delivery service in SSA.

Methods

The most recent Demographic and Health Survey (DHS), which was conducted in nine countries (Senegal, Ethiopia, Malawi, Rwanda, Tanzania, Zambia, Namibia, Ghana, the Democratic Republic of Congo) was used. The service’s distribution outcome (home delivery or institutional delivery) was used as an outcome predictor. Logistic regression models were used to determine the combination of delivery chances and different covariates.

Results

The odds ratio of the experience of institutional delivery for women living in rural areas vs urban area was 0.44 (95% confidence interval (CI) 0.41–0.48). Primary educated women were 1.98 (95% CI 1.85–2.12) times more likely to deliver in health institutes than non-educated women, and secondary and higher educated women were 3.17 (95% CI 2.88–3.50) times more likely to deliver in health centers with facilities. Women aged 35–49 years were 1.17 (95% CI 1.05–1.29) times more likely than women aged under 24 years to give birth in health centers. The number of ANC visits: women who visited four or more times were 2.98 (95% CI 2.77–3.22) times, while women who visited three or less times were twice (OR = 2.03; 95% CI 1.88–2.18) more likely to deliver in health institutes. Distance from home to health facility were 1.18 (95% CI 1.11–1.25) times; media exposure had 1.28 (95% CI 1.20–1.36) times more likely than non-media-exposed women to delivery in health institutions.

Conclusions

Women over 24, primary education at least, urban residents, fewer children, never married (living alone), higher number of prenatal care visits, higher economic level, have a possibility of mass-media exposure and live with educated husbands are more likely to provide health care in institutions. Additionally, the distance from home to a health facility is not observed widely as a problem in the preference of place of child delivery. Therefore, due attention needs to be given to address the challenges related to narrowing the gap of urban-rural health facilities, educational level of women improvement, increasing the number of health facilities, and create awareness on the advantage of visiting and giving birth in health facilities.

Mediation role of low birth weight on the factors associated with newborn mortality and the moderation role of institutional delivery in the association of low birth weight with newborn mortality in a resource-poor setting

OBJECTIVES

To assess low birth weight's (LBW) mediation role on the factors associated with newborn mortality (NM), including stillbirth and the role of institutional delivery in the association between LBW and NM.

DESIGN AND PARTICIPANTS

I used the 2011-2015 event histories health demographic data collected by Iganga-Mayuge Health Demographic and Surveillance Site (HDSS). The dataset consisted of 10 758 registered women whose birth occurred at least 22 weeks of the gestation period and records of newborns' living status 28 days after delivery.

SETTING

The Iganga-Mayuge HDSS is in Eastern Uganda, which routinely collects health and demographic data from a registered population of at least 100 000 people.

OUTCOME MEASURE

The study's key outcomes or endogenous factors were perinatal mortality (PM), late NM and LBW (mediating factor).

RESULTS

The factors that were directly associated with PM were LBW (OR=2.55, 95% CI 1.15 to 5.67)), maternal age of 30+ years (OR=1.68, 95% CI 1.21 to 2.33), rural residence (OR=1.38, 95% CI 1.02 to 1.85), mothers with previous experience of NM (OR=3.95, 95% CI 2.86 to 5.46) and mothers with no education level (OR=1.63, 95% CI 1.21 to 2.18). Multiple births and mother's prior experience of NM were positively associated with NM at a later age. Institutional delivery had a modest inverse role in the association of LBW with PM. LBW mediated the association of PM with residence status, mothers' previous NM experience, multiple births, adolescent mothers and mothers' marital status. Of the total effect attributable to each of these factors, LBW mediated +25%, +22%, +100%, 25% and -38% of rural resident mothers, mothers with previous experience of newborn or pregnancy loss, multiple births, adolescent mothers and mothers with partners, respectively.

CONCLUSION

LBW mediated multiple factors in the NM pathways, and the effect of institutional delivery in reducing mortality among LBW newborns was insignificant. The findings demonstrate the need for a holistic life course approach that gears the health systems to tackle NM.

Determinants of neonatal near miss in Australia: A multilevel analysis

BACKGROUND

Neonatal Near Miss (NNM) is a situation where a newborn narrowly survived the neonatal period. It has been hypothesized that identifying factors that contribute to the occurrence of NNM and taking timely interventions could enhance the quality of newborn care. However, there is limited evidence in Australia. This study aimed to identify the determinants of NNM in Australia.

METHODS

Data from the 1973-78 cohort of the Australian Longitudinal Study on Women's Health (ALSWH) were linked with state-based Perinatal Data Collections (PDC) for 3655 mothers and 5526 newborns who were born between 01 January 2007 and 31 December 2015. A newborn was considered as a near miss case if presented with any of the pragmatic criteria (gestational age <32 weeks, birth weight <1500 g, five-minute Apgar score <7) and survived the neonatal period. A multilevel multivariable logistic regression model was used to identify the determinants of NNM.

RESULTS

Of the total 5526 live births included in this study, 95 live births met the criteria for NNM, corresponding to an incidence of 17.2 per 1000 live births. After controlling for potential confounders, maternal age 31-34 years (AOR = 2.57; 95% CI: 1.05, 6.30) and 35 years and above (AOR = 4.03; 95% CI: 1.58, 10.31), caesarean section (AOR = 2.24; 95% CI: 1.09, 4.57), and gestational hypertension (AOR = 2.63; 95% CI: 1.21, 5.71) increased the odds of NNM.

CONCLUSION

Inclusion of NNM evaluations into newborn care and early screening and interventions for women who become pregnant at older age and those with pregnancy complications could improve the quality of newborn care and reduce neonatal morbidity.

Geostatistical analysis and mapping: social and environmental determinants of under-five child mortality, evidence from the 2014 Ghana demographic and health survey

BACKGROUND

Under-five mortality (U5M) rates are among the health indicators of utmost importance globally. It is the goal 3 target 2.1 of the Sustainable Development Goals that is expected to be reduced to at least 25 per 1000 livebirths by 2030. Despite a considerable reduction in U5M observed globally, several countries especially those in sub-Saharan Africa (SSA) like Ghana are struggling to meet this target. Evidence-based targeting and utilization of the available limited public health resources are critical for effective design of intervention strategies that will enhance under-five child survival. We aimed to estimate and map U5M risk, with the ultimate goal of identifying communities at high risk where interventions and further research can be targeted.

METHODS

The 2014 Ghana Demographic and Health Survey data was used in this study. Geostatistical analyses were conducted on 5884 children residing in 423 geographical clusters. The outcome variable is child survival status (alive or dead). We employed a geostatistical generalised linear mixed model to investigate both measured and unmeasured child specific and spatial risk factors for child survival. We then visualise child mortality by mapping the predictive probability of survival.

RESULTS

Of the total sampled under 5 children, 289 (4.91%) experienced the outcome of interest. Children born as multiple births were at increased risk of mortality with an adjusted odds ratio (aOR) (aOR: 8.2532, 95% CI: [5.2608-12.9477]) compared to singletons. Maternal age increased risk of mortality (aOR: 1.0325, 95% CI: [1.0128-1.0527]). Child's age (aOR: 0.2277, 95% CI: [0.1870-0.2771]) and number of children under 5 within each household (aOR: 0.3166, 95% CI: [0.2614-0.3835]) were shown to have a protective effect. Additionally, mothers with secondary education level (aOR: 0.6258, 95% CI: [0.4298-0.9114]) decreased the risk of U5M. The predicted U5M risk in 2014 was at 5.98%. Substantial residual spatial variations were observed in U5M.

CONCLUSION

The analysis found that multiple births is highly associated with increased U5M in Ghana. The high-resolution maps show areas and communities where interventions and further research for U5M can be prioritised to have health impact.

Factors associated with under-5 mortality in three disadvantaged East African districts

BACKGROUND

The high rate of avoidable child mortality in disadvantaged communities in Africa is an important health problem. This article examines factors associated with mortality in children <5 y of age in three disadvantaged East African districts.

METHODS

Pooled cross-sectional data on 9270 live singleton births from rural districts in Rwanda (Gicumbi), Uganda (Kitgum) and Tanzania (Kilindi) were analysed using logistic regression generalized linear latent and mixed models to adjust for clustering and sampling weights. Mortality outcomes were neonatal (0-30 d), post-neonatal (1-11 months), infant (0-11 months), child (1-4 y) and under-5 y (0-4 y).

RESULTS

The odds of post-neonatal and infant mortality were lower among children delivered by a health professional (adjusted odds ratio [AOR] 0.62 [95% confidence interval {CI} 0.47-0.81] for post-neonatal; AOR 0.60 [95% CI 0.46-0.79] for infant), mothers who had four or more antenatal care (ANC) visits during pregnancy (AOR 0.66 [95% CI 0.51-0.85]) and mothers who initiated breastfeeding within 1 h after birth (AOR 0.60 [95% CI 0.47-0.78]). Neonates not exclusively breastfed had higher mortality (AOR 3.88 [95% CI 1.58-9.52]). Children who lived >6 h away from the nearest health centre (6-23 h: AOR 1.66 [95% CI 1.4-2.0] and ≥24 h: AOR 1.43 [95% CI 1.26-1.72]) reported higher mortality rates in children <5 y of age.

CONCLUSIONS

Interventions for reducing deaths in children ≤5 y of age in disadvantaged East African communities should be strengthened to target communities >6 h away from health centres and mothers who received inadequate ANC visits during pregnancy.

Under-Five Mortality and Associated Risk Factors in Rural Settings of Ethiopia: Evidences from 2016 Ethiopian Demographic and Health Survey

Background. Evidence shows that in Ethiopia, a gradual decrease of under-five mortality is observed, but it is still high in the rural settings of the country. We are motivated to investigate the socioeconomic, demographic, maternal and paternal, and child-related associated risk factors of under-five mortality given birth from rural resident mothers. Methods. Demographic and Health Survey data from Ethiopia (2016) were used for analysis. The chi-square test of association and logistic regression were used to determine the associated risk factors of under-five children mortality. Study Settings. Rural Ethiopia. Results. Secondary school and above completed fathers (AOR = 0.77; 95% CI: 0.63–0.94) and primary school completed mothers (AOR = 0.82; 95% CI: 0.72–0.93); multiple twin child (AOR = 4.50; 95% CI: 3.38–5.98); public sector delivery (AOR = 0.65; 95% CI: 0.55–0.76); had working of mother (AOR = 1.28; 95% CI: 1.16–1.42) and of father (AOR = 1.45; 95% CI: 1.25–1.69); mothers aged above 16 at first birth (AOR = 0.41; 95% CI: 0.37–0.45); breastfeeding (AOR = 0.60; 95% CI: 0.55–0.66); birth order of 2-3 (AOR = 1.18; 95% CI: 1.02–1.37); religious belief of Muslim (AOR = 1.20; 95% CI: 1.02–1.41); users of contraceptive method (AOR = 0.80; 95% CI: 0.71–0.90); vaccinated child (AOR = 0.52; 95% CI: 0.46–0.60); family size of 4–6 (AOR = 0.74; 95% CI: 0.63–0.86) and of seven and above (AOR = 0.44; 95% CI: 0.36–0.52); mother’s age group: aged 20–29 (AOR = 3.88; 95% CI: 3.08–4.90), aged 30–39 (AOR = 16.29; 95% CI: 12.66–20.96), and aged 40 and above (AOR = 55.97; 95% CI: 42.27–74.13); number of antenatal visits: 1–3 visits (AOR = 0.50; 95% CI: 0.43–0.58), and four and above visits (AOR = 0.46; 95% CI: 0.39–0.54); and preceding birth interval of 25–36 months (AOR = 0.55; 95% CI: 0.48–0.62) and above 36 months (AOR = 0.30; 95% CI: 0.26–0.34) are significant determinant factors of under-five mortality in rural settings. Conclusions. Differences in regions, educated parents, born in singleton, public sector delivery, nonavailability of occupation of parents, mothers older than 16 at first birth, breastfeeding, use of a contraceptive method, child vaccination, higher number of family size, repeated antenatal visits, and preceding birth interval play a significant role regarding the survival of under-five children. These, among other differences, should be addressed decisively as part of any upcoming strategic interventions to improve the survival of children in line with the target of 2030 Sustainable Development Goals (SDGs).

Factors Associated with U5M in the Afar Region of Ethiopia

Background. Ethiopia has experienced a significant reduction of under-five mortality over the past few decades. But still, the country is far from the Sustainable Development Goals (SDGs) of 2030. This study aims to identify the potential associated factors of under-five mortality in the Afar region, Ethiopia. Methods. Data from a national representative cross-sectional survey of Ethiopian Demographic and Health Survey of the year 2016 were used. Data were collected from the population of all under-five children in randomly selected enumeration areas of the Afar region of Ethiopia. Chi-squared and binary logistic regression analyses were employed. Results. The result revealed that twin child [(AOR = 5.37; 95%CI: 2.12–13.62)], age of mothers at first birth [(AOR = 0.47; 95%CI: 0.35–0.62) of greater than 16], current breastfeeders (AOR = 0.41; 95%CI: 0.32–0.54), rural residents (AOR: 2.54; 95%CI: 2.49–2.58), used current contraceptive methods (AOR = 0.38; 95%CI: 0.15–0.94), vaccinated the child (AOR = 0.40; 95%CI: 0.27–0.59), family size [(AOR = 0.65; 95%CI: 0.41–0.92) for 4–6 household members and (AOR = 0.49; 95%CI: 0.29–0.80) for seven and more household members], rich households (AOR = 0.03; 95%CI: 0.01–0.16), mother’s age group [(AOR = 3.24; 95%CI: 1.90–5.54) (age 20–29), (AOR = 12.43; 95%CI: 6.86–22.51) (age 30–39), and (AOR = 46.31; 95%CI: 21.74–98.67) (age 40 and above), and antenatal visits ((AOR = 0.48; 95%CI: 0.31–0.74) (1–3 visits) and (AOR = 0.44; 95%CI: 0.24–0.81) (4 and more visits)) significantly determined the under-five mortality. Conclusions. The study showed that giving birth at an early age, low coverage and quality of health access, unimproved breastfeeding culture, nonaccessibility to contraceptive methods, absence of awareness of mothers on vaccination of a child, low economic status of households, and low status of mothers’ antenatal visits lead to the highest under-five mortality in the area. Therefore, community-based educational programs and public health interventions focused on improving the survival of children by providing awareness to the community and specifically to mothers should be improved.

The Nigerian Twin and Sibling Registry: An Update

Here we provide an update of the 2013 report on the Nigerian Twin and Sibling Registry (NTSR). The major aim of the NTSR is to understand genetic and environmental influences and their interplay in psychological and mental health development in Nigerian children and adolescents. Africans have the highest twin birth rates among all human populations, and Nigeria is the most populous country in Africa. Due to its combination of large population and high twin birth rates, Nigeria has one of the largest twin populations in the world. In this article, we provide current updates on the NTSR samples recruited, recruitment procedures, zygosity assessment and findings emerging from the NTSR.

Twin births in Jordan: incidence, trends, risk factors and implications for under-five mortality: evidence from the 2012 Jordan Population and Family Health Survey

Research on twinning in developed countries is well documented, but little is known about twinning in less-developed countries due to a lack of data or data limitations. This study examined the level of, trends in and determinants of twin births and their survival under age five in Jordan, using the 2012 Jordan Population and Family Health Survey (JPFHS) data. The birth history of 11,352 women included in the JPFHS provided information on 9859 live births that occurred within five years of the survey date, and these constituted the study subjects. Descriptive statistics, and bivariate and multivariate multilevel logistic regression models were used for data analysis. About 3.5% of the total live births were twins, which is one of the highest rates in developing countries. The twinning rate showed an increasing trend in Jordan, increasing by 45% from 2.4% in 1990 to 3.5% in 2012. Higher maternal age at child birth, higher parity, poor and richer economic status, contraceptive use status, secondary and above level of education of mothers and non-consanguinity were found to be associated with a higher rate of twin births in Jordan. Twins were observed to have a higher risk of low birth weight, being smaller in physical size at birth and at more than four times higher risk of neonatal death compared with singletons. To reduce the risk adverse outcomes of twin pregnancies and further improve maternal and child health, antenatal, delivery and postnatal care should be tailored towards the special needs of twin pregnancies and twin births in Jordan Twin pregnancies should be detected at the early stage of pregnancy so that perinatal outcomes can be improved by frequent prenatal visits, health education, counselling and proper management of peripartum complications.

Understanding the determinants of infant and under-five mortality rates: a multivariate decomposition analysis of Demographic and Health Surveys in Ghana, 2003, 2008 and 2014

INTRODUCTION

Despite the decline in infant and under-five mortality rates since the last decade, Ghana did not meet the millennium development goal (MDG) 4 target. To implement effective interventions that could fast-track progress towards achieving the sustainable development goal 3 in 2030, factors contributing to the decline in child mortality throughout the MDG period and which factor(s) has/have been consistent in affecting child survival in the last decade need to be understood.

METHODS

This study used Demographic and Health Surveys (DHS) from 2003, 2008 and 2014 and data from World Bank Development Indicators (2000-2018). We employed modified Poisson with robust SE and multivariate decomposition approach to assess risk factors of child mortality using DHS data from 2003, 2008 and 2014. Penalised regression was used assess the effect of 25 country-level contextual factors on child survival.

RESULTS

The risk of infant mortality is approximately five times higher among mothers who had multiple births compared with mothers who had single birth over the last decade (adjusted relative risk 4.6, 95% CI 3.2 to 6.6, p<0.001). An increase in the annual percentage of female labour force participation (FLFP) is associated with the reduction of approximately 10 and 18 infant and under-five annual deaths per 1000 live births, respectively.

CONCLUSIONS

This study found that multiple births and shorter birth spacing are associated with increased risk of infant and under-five deaths over the last decade. Increased in FLFP, and the proportion of children sleeping under bed-net are associated with reduced risk of both infants and under-five deaths.

Maternal Education, Fertility, and Child Survival in Comoros

Reduction in child mortality is a demographic progress of significant socioeconomic development relevance in Africa. This paper analyzed the effect of maternal education and fertility on child survival in the Islands of Comoros. The 2012 Demographic and Health Survey (DHS) data were used. A two-stage probit regression method was used for data analysis. The results showed that about 75% of the children’s mothers had given birth to between one and five children, while more than half did not have any form of formal education. The results of the two-stage probit regression showed that while child survival reduced significantly (p < 0.05) with the age of the heads of households, residence in the Ngazidja region, being born as twins, mother’s number of business trips, and number of marital unions, it increased with maternal education, fertility, male household headship, and the child being breastfed immediately after birth. It was concluded that efforts to enhance maternal education would reduce child mortality. It is also critical to promote child breastfeeding among women, while regional characteristics promoting differences in child mortality in Comoros Islands should be properly addressed with keen focus on the Ngazidja region.

Maternal and child characteristics and health practices affecting under-five mortality: A matched case control study in Gamo Gofa Zone, Southern Ethiopia

BACKGROUND

Though Ethiopia has shown a considerable improvement in reducing under-five mortality rate since 1990, many children still continue to die prematurely. Mixed results have been reported about determinants of under-five mortality. Besides, there is paucity of mortality studies in the current study site. Therefore, this study was conducted to assess maternal and child health related predictors of under-five mortality in Southern Ethiopia.

METHODS

A matched case control study was conducted in 2014 in Arba Minch Town and Arba Minch Zuria District of Gamo Gofa Zone, Southern Ethiopia. Conditional logistic regression was employed to identify the predictors of under-five mortality. Sampling weight was applied to account for the non-proportional allocation of sample to different clusters. Based on the Mosley & Chen's analytical framework for under-five and infant mortalities, the predictors were organized in to three groups: 1) personal illness control, 2) child feeding and newborn care and 3) other maternal and child related factors.

RESULTS

Among personal illness control related factors: lack of post-natal care, immunization status of the child and lack of Vitamin A supplementation were significantly associated with higher rate of under-five mortality. Not breastfeeding and delaying first bath at least for 24 hours were child feeding and newborn care related factors which were found to be significantly associated with under-five mortality. Among other maternal and child related factors, shorter previous birth interval, history of death of index child's older sibling, being multiple birth and live birth after the index child were significantly associated with under-five mortality.

CONCLUSIONS

In order to maintain reduction of under-five mortality during the Sustainable Development Goals era, strengthening of maternal and child health interventions, such as post-natal care, family planning, immunization, supplementation of Vitamin A for children older than six months, breastfeeding and delaying of first bath after delivery at least for 24 hours are recommended.

Maternal predictors of neonatal outcomes after emergency cesarean section: a retrospective study in three rural district hospitals in Rwanda

Background

In sub-Saharan Africa, neonatal mortality post-cesarean delivery is higher than the global average. In this region, most emergency cesarean sections are performed at district hospitals. This study assesses maternal predictors for poor neonatal outcomes post-emergency cesarean delivery in three rural district hospitals in Rwanda.

Methods

This retrospective study includes a random sample of 441 neonates from Butaro, Kirehe and Rwinkwavu District Hospitals, born between 01 January and 31 December 2015. We described the demographic and clinical characteristics of the mothers of these neonates using frequencies and proportions. We assessed the association between maternal characteristics with poor neonatal outcomes, defined as death within 24 h or APGAR < 7 at 5 min after birth, using Fisher’s exact test. Factors significant at α = 0.20 significance level were considered for the multivariate logistic regression model, built using a backwards stepwise process. We stopped when all the factors were significant at the α = 0.05 level.

Results

For all 441 neonates included in this study, 40 (9.0%) had poor outcomes. In the final model, three factors were significantly associated with poor neonatal outcomes. Neonates born to mothers who had four or more prior pregnancies were more likely to have poor outcomes (OR = 3.01, 95%CI:1.23,7.35, p = 0.015). Neonates whose mothers came from health centers with ambulance travel times of more than 30 min to the district hospital had greater odds of having poor outcomes (for 30–60 min: OR = 3.80, 95%CI:1.07,13.40, p = 0.012; for 60+ minutes: OR = 5.82, 95%CI:1.47,23.05, p = 0.012). Neonates whose mothers presented with very severe indications for cesarean section had twice odds of having a poor outcome (95% CI: 1.11,4.52, p = 0.023).

Conclusions

Longer travel time to the district hospital was a leading predictor of poor neonatal outcomes post cesarean delivery. Improving referral systems, ambulance availability, number of equipped hospitals per district, and road networks may lessen travel delays for women in labor. Boosting the diagnostic capacity of labor conditions at the health center level through facilities and staff training can improve early identification of very severe indications for cesarean delivery for early referral and intervention.

Trends and population-attributable risk estimates for predictors of early neonatal mortality in Nigeria, 2003-2013: a cross-sectional analysis

OBJECTIVES

To assess trends in early neonatal mortality (ENM) and population-attributable risk (PAR) estimates for predictors of ENM in Nigeria.

DESIGN, SETTING AND PARTICIPANTS

A cross-sectional data on 63 844 singleton live births within the preceding 5 years from the 2003, 2008 and 2013 Nigeria Demographic and Health Surveys were used. Adjusted PARs were used to estimate the number of early neonatal deaths attributable to each predictor in the final multivariable Cox regression model.

MAIN OUTCOME MEASURES

ENM, defined as the death of a live-born singleton between birth and 6 days of life.

RESULTS

The ENM rate slightly declined from 30.5 (95% CI 26.1 to 34.9) to 26.1 (CI 24.3 to 27.9) during the study period. Approximately 36 746 (CI 14 656 to 56 920) and 37 752 (CI 23 433 to 51 126) early neonatal deaths were attributable to rural residence and male sex, respectively. Other significant predictors of ENM included small neonates (attributable number: 25 884, CI 19 172 to 31 953), maternal age <20 years (11 708, CI 8521 to 17 042), caesarean section (6312, CI 4260 to 8521) and birth order ≥4 with a short birth interval (≤2 years) (18 929, CI 12 781 to 25 563)).

CONCLUSIONS

To improve early neonatal survival in Nigeria, community-based interventions are needed for small neonates, and to promote delayed first pregnancy, child spacing and timely referral for sick male neonates and caesarean delivery.

Determinants of neonatal mortality in rural and urban Nigeria: Evidence from a population-based national survey

BACKGROUND

Significant reduction in the global burden of neonatal mortality was achieved through the millennium development goals. In Nigeria, however, only a marginal reduction was realized. This study assesses the rural-urban differences in neonatal mortality rate (NMR) and the associated risk factors in Nigeria.

METHODS

The dataset from the 2013 Nigeria demographic and health survey (NDHS), disaggregated by rural-urban residence (n = 20 449 and 9935, respectively), was explored using univariate, bivariate, and multivariable analysis. Complex samples analysis was applied to adjust for the unequal selection probabilities due to the multi-stage cluster sampling method used in the 2013 NDHS. The adjusted relationship between the outcome and predictor variables was assessed on multi-level logistic regression analysis.

RESULTS

NMR for rural and urban populations was 36 and 28 deaths per 1000 live births, respectively. Risk factors in urban residence were lack of electricity access (adjusted OR [AOR], 1.555; 95%CI: 1.089-2.220), small birth size (as a proxy for low birthweight; AOR, 3.048; 95%CI: 2.047-4.537), and male gender (AOR, 1.666; 95%CI: 1.215-2.284). Risk factors in rural residence were small birth size (a proxy for low birthweight; AOR, 2.118; 95%CI: 1.600-2.804), and birth interval <2 years (AOR, 2.149; 95%CI: 1.760-2.624). Cesarean delivery was a risk factor both in rural (AOR, 5.038; 95%CI: 2.617-9.700) and urban Nigeria (AOR, 2.632; 95%CI: 1.543-4.489).

CONCLUSIONS

Determinants of neonatal mortality were different in rural and urban Nigeria, and rural neonates had greater risk of mortality than their urban counterparts.

The impact of household wealth on child survival in Ghana

BACKGROUND

Improving child health is one of the major policy agendas for most of the governments, especially in the developing countries. These governments have been implementing various strategies such as improving healthcare financing, improving access to health, increasing educational level, and income level of the household to improve child health. Despite all these efforts, under-five and infant mortality rates remain high in many developing nations. Some previous studies examined how economic development or household's economic condition contributes to child survival in developing countries. In Ghana, the question as to what extent does economic circumstances of households reduces infant and child mortality still remain largely unanswered. Thus, the purpose of this study is to investigate the extent to which wealth affects the survival of under-five children, using data from the Demographic and Health Survey (DHS) of Ghana.

METHODS

In this study, we use four waves of data from Demographic and Health Surveys (DHS) of Ghana from 1993 to 2008. The DHS is a detailed data set that provides comprehensive information on households and their demographic characteristics in Ghana. Data was obtained by distributing questionnaires to women (from 6000 households) of reproductive age between 15 and 49 years, which asked, among other things, their birth history information. The Weibull hazard model with gamma frailty was used to estimate wealth effect, as well as the trend of wealth effect on child's survival probability.

RESULTS

We find that household wealth status has a significant effect on the child survival in Ghana. A child is more likely to survive when he/she is from a household with high wealth status. Among other factors, birth spacing and parental education were found to be highly significant to increase a child's survival probability.

CONCLUSIONS

Our findings offer plausible mechanisms for the association of household wealth and child survival. We therefore suggest that the Government of Ghana strengthens and sustains improved livelihood programs, which reduce poverty. They should also take further initiatives that will increase adult education and improve health knowledge. To the best of our knowledge, this is the first study in Ghana that combines four cross sectional data sets from DHS to study a policy-relevant question. We extend Standard Weibull hazard model into Weibull hazard model with gamma frailty, which gives us a more accurate estimation. Finally, the findings of this study are of interest not only because they provide insights into the determinants of child health in Ghana and other developing countries, but they also suggest policies beyond the scope of health.

The large contribution of twins to neonatal and post-neonatal mortality in The Gambia, a 5-year prospective study

BACKGROUND

A high twinning rate and an increased risk of mortality among twins contribute to the high burden of infant mortality in Africa. This study examined the contribution of twins to neonatal and post-neonatal mortality in The Gambia, and evaluated factors that contribute to the excess mortality among twins.

METHODS

We analysed data from the Basse Health and Demographic Surveillance System (BHDSS) collected from January 2009 to December 2013. Demographic and epidemiological variables were assessed for their association with mortality in different age groups.

RESULTS

We included 32,436 singletons and 1083 twins in the analysis (twining rate 16.7/1000 deliveries). Twins represented 11.8 % of all neonatal deaths and 7.8 % of post-neonatal deaths. Mortality among twins was higher than in singletons [adjusted odds ratio (AOR) 4.33 (95 % CI: 3.09, 6.06) in the neonatal period and 2.61 (95 % CI: 1.85, 3.68) in the post-neonatal period]. Post-neonatal mortality among twins increased in girls (P for interaction = 0.064), being born during the dry season (P for interaction = 0.030) and lacking access to clean water (P for interaction = 0.042).

CONCLUSION

Mortality among twins makes a significant contribution to the high burden of neonatal and post-neonatal mortality in The Gambia and preventive interventions targeting twins should be prioritized.

Risk factors for under-5 mortality: evidence from Bangladesh Demographic and Health Survey, 2004-2011

OBJECTIVE

The aim of this study was to identify factors associated with mortality in children under 5 years of age using a nationally representative sample of singleton births for the period of 2004-2011.

DESIGN, SETTING AND PARTICIPANTS

Pooled 2004, 2007 and 2011 cross-sectional data sets of the Bangladesh Demographic and Health Surveys were analysed. The surveys used a stratified two-stage cluster sample of 16,722 singleton live-born infants of the most recent birth of a mother within a 3-year period.

MAIN OUTCOME MEASURES

Outcome measures were neonatal mortality (0-30 days), postneonatal mortality (1-11 months), infant mortality (0-11 months), child mortality (1-4 years) and under-5 mortality (0-4 years).

RESULTS

Survival information for 16,722 singleton live-born infants and 522 deaths of children <5 years of age included: 310 neonatal deaths, 154 postneonatal deaths, 464 infant deaths, 58 child deaths and 522 under-5 deaths. Multiple variable analysis showed that, over a 7-year period, mortality reduced significantly by 48% for postneonatal deaths, 33% for infant deaths and 29% for under-5 deaths, but there was no significant reduction in neonatal deaths (adjusted OR (AOR) = 0.79, 95% CI 0.59 to 1.06) or child deaths (AOR = 1.00, 95% CI 0.51 to 1.94). The odds of neonatal, postneonatal, infant, child and under-5 deaths decreased significantly among mothers who used contraceptive and mothers who had other children aged 3 years or older. The risk of neonatal, postneonatal, infant, child and under-5 deaths was significantly higher in mothers who reported a previous death of a sibling.

CONCLUSIONS

Our study suggests that family planning is needed to further reduce the overall rate of under-5 deaths in Bangladesh. To reduce childhood mortality, public health interventions that focus on child spacing and contraceptive use by mothers may be most effective.

Trends in neonatal mortality in Nigeria and effects of bio-demographic and maternal characteristics

BACKGROUND

Nigeria's efforts to reduce under-five mortality has been biased in favour of childhood mortality to the neglect of neonates and as such the literature is short of adequate information on the determinants of neonatal mortality. Whereas studies have shown that about half of infant deaths occur in the neonatal period. Knowledge of the determinants of neonatal mortality are essential for the design of intervention programes that will enhance neonatal survival. Therefore, this study was conducted to investigate the trends and factors associated with neonatal mortality in Nigeria.

METHODS

This was a retrospective analysis of the reproductive history data collected in the Nigeria Demographic and Health Surveys (NDHS) for 1990, 2003, 2008 and 2013. Neonatal mortality rates were estimated as the probability of dying before 28 completed days using synthetic cohort life table techniques. Univariate and multiple Cox proportional hazards regression models were used to explore the effects of selected maternal and bio-demographic variables on neonatal mortality. The Hazard Ratio (HR) and its 95% Confidence Interval (CI) were estimated to prioritize obtained significant factors.

RESULTS

Nigeria neonatal mortality rate stagnated at 41 per 1000 live births between 1990 and 2013. There were rural-urban and regional differences with more deaths occurring in rural areas and northern regions. In 1990, antenatal care (HR = 0.76; CI = 0.61-0.95), facility delivery (HR = 0.69; CI = 0.53-0.90) and births interval less than 24 months (HR = 1.67; CI = 1.41-1.98) were significantly associated with neonatal deaths. Factors identified from the 2013 data were antenatal care (HR = 0.76; CI = 0.61-0.95), birth interval less than 24 months (HR = 1.67; CI = 1.41-1.98), delivery at health facility (HR = 0.69; CI = 0.53-0.90), and small birth size (HR = 1.72; CI = 1.39-2.14).

CONCLUSION

There was little improvement in neonatal survival in Nigeria between 1990 and 2013. Bio-demographic and health care related characteristics are significant determinants of neonatal survival. Family planning should be intensified while government should improve the quality of maternal and child health services to enhance the survival of neonates.

Risk factors for postneonatal, infant, child and under-5 mortality in Nigeria: a pooled cross-sectional analysis

OBJECTIVES

To identify common factors associated with post-neonatal, infant, child and under-5 mortality in Nigeria.

DESIGN, SETTING AND PARTICIPANTS

A cross-sectional data of three Nigeria Demographic and Health Surveys (NDHS) for the years 2003, 2008 and 2013 were used. A multistage, stratified, cluster random sampling method was used to gather information on 63,844 singleton live-born infants of the most recent birth of a mother within a 5-year period before each survey was examined using cox regression models.

MAIN OUTCOME MEASURES

Postneonatal mortality (death between 1 and 11 months), infant mortality (death between birth and 11 months), child mortality (death between 12 and 59 months) and under-5 mortality (death between birth and 59 months).

RESULTS

Multivariable analyses indicated that children born to mothers with no formal education was significantly associated with mortality across all four age ranges (adjusted HR=1.30, 95% CI 1.01 to 1.66 for postneonatal; HR=1.38, 95% CI 1.11 to 1.84 for infant; HR=2.13, 95% CI 1.56 to 2.89 for child; HR=1.19, 95% CI 1.02 to 1.41 for under-5). Other significant factors included living in rural areas (HR=1.48, 95% CI 1.16 to 1.89 for postneonatal; HR=1.23, 95% CI 1.03 to 1.47 for infant; HR=1.52, 95% CI 1.16 to 1.99 for child; HR=1.29, 95% CI 1.11 to 1.50 for under-5), and poor households (HR=2.47, 95% CI 1.76 to 3.47 for postneonatal; HR=1.40, 95% CI 1.10 to 1.78 for infant; HR=1.72, 95% CI 1.19 to 2.49 for child; HR=1.43, 95% CI 1.17 to 1.76 for under-5).

CONCLUSIONS

This study found that no formal education, poor households and living in rural areas increased the risk of postneonatal, infant, child and under-5 mortality among Nigerian children. Community-based interventions for reducing under-5 deaths are needed and should target children born to mothers of low socioeconomic status.

Multiple births in sub-saharan Africa: epidemiology, postnatal survival, and growth pattern

The study endeavored to assess the epidemiology, postnatal survival, and growth pattern of multiple births in Sub-Saharan Africa (SSA). It was based on the data of 25 demographic health surveys conducted in the subcontinent since 2008. The records of 213,889 children born in the preceding 59 months of the surveys were included. The multiple birth rate was computed as the number of multiple confinements per 1,000 births. Factors associated with multiple births were identified using logistic regression and their survival pattern was assessed using the Kaplan-Meier method. The multiple birth rate was 17.1 (95% confidence interval: 17.7-16.6) and showed considerable variation across the 25 countries included in the study. Odds of multiple births were significantly increased with advanced maternal age, parity, and maternal height but not with wealth index, age at first birth, and month of birth. At the end of the fourth year of age, the cumulative survival probability was as low as 0.77 in multiple births as compared to 0.93 in their counterparts. The odds of neonatal, infant and under-five mortality were 5.55, 4.39, and 3.72 times increased in multiple births, respectively. Multiple births tend to be malnourished than singletons and the odds of wasting, stunting, and underweight were 1.31, 1.83, and 1.73 times raised, consecutively. Nevertheless, multiple births regain their weight-for-age (WFA) and height-for-age (HFA) deficits by the end of the fourth year of age. Counseling pregnant mothers with multiple gestation to give birth at a health institution and providing close medical follow-up during and after the neonatal period can improve the survival of multiple births.

The effect of solid fuel use on childhood mortality in Nigeria: evidence from the 2013 cross-sectional household survey

BACKGROUND

In Nigeria, approximately 69% of households use solid fuels as their primary source of domestic energy for cooking. These fuels produce high levels of indoor air pollution. This study aimed to determine whether Nigerian children residing in households using solid fuels at <5 years of age were at higher risk of death.

METHODS

The 2013 Nigeria Demographic and Health Survey data were analysed in Cox regression analyses to examine the effects of solid fuel use on deaths of children aged 0-28 days (neonatal), 1-11 months (post-neonatal), and 12-59 months (child).

RESULTS

The results indicated that approximately 0.8% of neonatal deaths, 42.9% of post-neonatal deaths, and 36.3% of child deaths could be attributed to use of solid fuels. The multivariable analyses found that use of solid fuel was associated with post-neonatal mortality (hazard ratio [HR] =1.92, 95% confidence interval [CI]: 1.42-2.58) and child mortality (HR = 1.63, CI: 1.09-2.42), but was not associated with neonatal mortality (HR = 1.01, CI: 0.73-1.26). Living in rural areas and poor households were associated with an increased risk of death during the three mortality periods.

CONCLUSION

Living in a rural area and poor households were strongly associated with an increased risk of a child > 1 to < 60 months dying due to use of solid fuels. The health effects of household use of solid fuels are a major public health threat that requires increased research and policy development efforts. Research should focus on populations in rural areas and low socioeconomic households so that child survival in Nigeria can be improved.

Infant twin mortality and hospitalisations after the perinatal period - a prospective cohort study from Guinea-Bissau

OBJECTIVE

To examine mortality and hospitalisations among infant twins and singletons after the perinatal period in Guinea-Bissau.

METHODS

The study was conducted from September 2009 to November 2012 by the Bandim Health Project (BHP). Newborn twins and unmatched singleton controls were included at the National Hospital Simão Mendes in the capital Bissau. Children were examined clinically at enrolment. Maternal, pregnancy and obstetric information was collected and HIV testing offered at birth. Follow-up occurred at home at 2, 6 and 12 months and through linkage with the paediatric admission register at the National Hospital.

RESULTS

About 495 twins and 333 singletons were alive on day 7 after birth. In total, 36 twins and 12 singletons died during follow-up, the post-perinatal infant mortality rate being 91/1000 person-years for twins and 42/1000 for singletons (HR = 2.11, 95% CI: 1.09-4.07). In a multivariable analysis among twins only, birth weight <2000 g [3.32, (1.36-8.07)], death of the cotwin perinatally [2.54, (1.16-5.57)] and severe maternal illness during pregnancy [2.35, (1.00-5.51)] were significant risk factors for twin death. In the subgroup with available HIV status, maternal HIV infection was strongly associated with twin mortality [3.16, (1.24-8.05)]. Death occurred at home for 60% of twins and 67% of singletons. During follow-up, 90 first-time hospital admissions were registered, with similar rates observed for twins (139/1000) and singletons (143/1000) [0.97, (0.61-1.52)].

CONCLUSION

The post-perinatal infant mortality rate of twins was double that of singletons. No excess in twin hospitalisations was observed, possibly implying obstacles to hospital admission for twins in case of severe illness.

Maternal and perinatal outcomes of twin pregnancy in 23 low- and middle-income countries

BACKGROUND

Twin pregnancies in low- and middle-income countries (LMICs) pose a high risk to mothers and newborns due to inherent biological risks and scarcity of health resources. We conducted a secondary analysis of the WHO Global Survey dataset to analyze maternal and perinatal outcomes in twin pregnancies and factors associated with perinatal morbidity and mortality in twins.

METHODS

We examined maternal and neonatal characteristics in twin deliveries in 23 LMICs and conducted multi-level logistic regression to determine the association between twins and adverse maternal and perinatal outcomes.

RESULTS

279,425 mothers gave birth to 276,187 (98.8%) singletons and 6,476 (1.2%) twins. Odds of severe adverse maternal outcomes (death, blood transfusion, ICU admission or hysterectomy) (AOR 1.85, 95% CI 1.60-2.14) and perinatal mortality (AOR 2.46, 95% CI 1.40-4.35) in twin pregnancies were higher, however early neonatal death (AOR 2.50, 95% CI 0.95-6.62) and stillbirth (AOR 1.22, 95% CI 0.58-2.57) did not reach significance. Amongst twins alone, maternal age <18, poor education and antenatal care, nulliparity, vaginal bleeding, non-cephalic presentations, birth weight discordance >15%, born second, preterm birth and low birthweight were associated with perinatal mortality. Marriage and caesarean section were protective.

CONCLUSIONS

Twin pregnancy is a significant risk factor for maternal and perinatal morbidity and mortality in low-resource settings; maternal risk and access to safe caesarean section may determine safest mode of delivery in LMICs. Improving obstetric care in twin pregnancies, particularly timely access to safe caesarean section, is required to reduce risk to mother and baby.

[Risk factors for perinatal mortality in the city of Lubumbashi, Democratic Republic of Congo]

BACKGROUND

The aim of this study is to establish factors explaining perinatal death rates in the city of Lubumbashi.

METHODS

We have carried out a case controlled study in the maternity ward of Jason Sendwe hospital. Perinatal death cases have been compared to those of surviving newborn children among parturient women in the course of 2008. Sociodemographic characteristics, maternal morbidity, children's typical features, have been studied as independent variables. Their effect on perinatal mortality has been assessed using an adjusted odds ratio value at a 5% confidence interval and a logistic regression model.

RESULTS

In total, we considered 2279 births (mother and child pairs) for our study. Among these were 415 perinatal mortality cases and 1864 control cases. After adjustment for several parameters, household chores (AOR=1.8; 95% IC=1.2-2.9), multiple pregnancies (AOR=1.9; 95% IC=1.2-2.9), malaria (AOR=1.4; 95% IC=1.1-1.8), primiparity (AOR=1.7; 95% IC=1.3-2.4), stillbirth (AOR=5.2; 95% IC=2.5-11.0) and prematurity (AOR=2.9; 95% IC=1.5-5.5) in previous pregnancies, onset of antepartum ferver (AOR=3.0; 95% IC=1.2-7.3) and antepartum hemorrhage (AOR=6.8; 95% IC=3.1-15.0), lack of fetal motions near delivering time, dystocias (AOR=2.0; 95% IC=1.3-3.0), low birthweight (AOR=15.7; 95% IC=11.2-22.0), very low birthweight (AOR=49.0; 95% IC=28.6-85.1) and foetal macrosomia (AOR=3.5; 95% IC=1.8-7.0) were the main factors explaining perinatal mortality.

CONCLUSION

Perinatal mortality in Lubumbashi remains associated with several avoidable factors. Basic and emergency obstetrical-neonatal care (B-EMONC) should be improved. Significant efforts should be made in this direction. Perinatal audits should be established for a good heath care quality follow-up. Obstetrical care should be offered as a continuum in order to facilitate communication between the different caregivers.

How twins differ: multiple pregnancy and the use of health care in the 2008 Nigeria Demographic and Health Survey

OBJECTIVES

To (i) document the incidence of multiplicity in Nigeria, (ii) compare healthcare utilization during pregnancy and at delivery for singleton and multiple pregnancies (iii)and investigate whether antenatal care modifies the relationship between multiplicity and likelihood of having skilled attendance.

METHODS

This observational study was a secondary analysis of the 2008 Nigeria Demographic and Health Survey and included 17,635 women who gave birth to a live infant between 2003 and 2008. Multivariate logistic regression with adjustment for weighting, clustering and confounding was used to investigate associations and look for effect modification.

RESULTS

There were 18.5 multiple pregnancies per 1000 maternities. Multiple births had nearly six times the chance of neonatal mortality (AOR 5.74). Mothers with multiple births had more skilled attendance (AOR 1.75), but similar antenatal care utilization (AOR 0.95) as women with a singleton pregnancy. Women with multiple pregnancies attending antenatal care had more visits (mean 9.0 vs. 8.2), blood pressure checks (OR 1.52) and urine tests (OR 1.51). Although antenatal care was strongly associated with skilled attendance, there was no evidence that this was more so for twins than singletons.

CONCLUSIONS

Multiplicity in Nigeria is not just a common occurrence, but an indicator of a high-risk pregnancy. The fact that the use of antenatal care by women with a multiple pregnancy is not associated with a disproportionately greater use of skilled delivery care raises questions about the quality of antenatal services. Services should encourage and link all women and especially high-risk women to skilled attendance at delivery.

Perinatal outcomes of multiple births in southwest Nigeria

Compared to singletons, multiple births are associated with a substantially-higher risk of maternal and perinatal mortality worldwide. However, little evidence exists on the perinatal profile and risk of neurodevelopmental disabilities among the survivors, especially in developing countries. This cross-sectional study, therefore, set out to determine the adverse perinatal outcomes that are potential markers for neurodevelopmental disabilities in infants with multiple gestations in a developing country. In total, 4,573 mothers, and their 4,718 surviving offspring in an inner-city maternity hospital in Lagos, Nigeria, from May 2005 to December 2007, were recruited. Comparisons of maternal and infant outcomes between single and multiple births were performed using multivariable logistic regression and generalized estimation equation analyses. Odds ratio (OR) and the corresponding 95% confidence interval (CI) for each marker were estimated. Of the 4,573 deliveries, there were 4,416 (96.6%) singletons and 157 (3.4%) multiples, comprising 296 twins and six triplets together (6.4% of all live 4,718 infants). After adjusting for maternal age, ethnicity, occupation, parity, and antenatal care, multiple gestations were associated with increased risks of hypertensive disorders and caesarean delivery. Similarly, after adjusting for potential maternal confounders, multiple births were associated with low five-minute Apgar score (OR: 1.47, 95% CI 1.13-1.93), neonatal sepsis (OR: 2.16, 95% CI 1.28-3.65), severe hyperbilirubinaemia (OR: 1.60, 95% CI 1.00-2.56), and admission to a special-care baby unit (OR: 1.56, 95% CI 1.12-2.17) underpinned by preterm delivery before 34 weeks (OR: 1.91, 95% CI 1.14-3.19), birthweight of less than 2,500 g (OR: 6.45, 95% CI 4.80-8.66), and intrauterine growth restriction (OR: 9.04, 95% CI 6.62-12.34). Overall, the results suggest that, in resource-poor settings, infants of multiple gestations are associated with a significantly-elevated risk of adverse perinatal outcomes. Since these perinatal outcomes are related to the increased risk of later neurodevelopmental disabilities, multiple-birth infants merit close developmental surveillance for timely intervention.