The effects of household and community context on mortality among children under five in Sierra Leone: Evidence from the 2013 Demographic and Health Survey

Socio-economic and proximate determinants of under-five mortality in Guinea

Background

The death of children under-five years is one of the critical issues in public health and improving child survival continues to be a matter of urgent concern. In this paper, we assessed the proximate and socio-economics determinants of child mortality in Guinea.

Methods

Using the 2018 Guinea Demographic and Health Survey (GDHS), we extracted demographic and mortality data of 4,400 children under-five years. Both descriptive and multivariable logistic regression analyses were conducted.

Results

Under-five mortality was 111 deaths per 1,000 live births in Guinea. The likelihood of death was higher among children born to mothers who belong to other religions compared to Christians (aOR = 2.86, 95% CI: 1.10–7.41), smaller than average children compared to larger than average children (aOR = 1.97, 95% CI: 1.28–3.04) and those whose mothers had no postnatal check-up visits after delivery (aOR = 1.72, 95% CI: 1.13–2.63). Conversely, the odds of death in children with 2–3 birth rank & >2 years of birth interval compared to ≥4 birth rank and ≤2 years of birth interval were low (aOR = 0.53, 95% CI: 0.34–0.83).

Conclusion

We found that household/individual-level socioeconomic and proximate factors predict under-five mortality in Guinea. With just about a decade left to the 2030 deadline of the Sustainable Development Goals (SDGs), concerted efforts across all key stakeholders, including government and development partners, need to be geared towards implementing interventions that target these predictors.

Maternal Self-rated Capability Status and Its Association with Under-Five Children Morbidity

Background:

Under-five morbidity is a significant public health concern in developing countries, and maternal intervention remains vital to achieving under-five optimal health.

Objective:

The study examined the influence of maternal self-rated capability status (SCS) on under-five morbidity in Ibadan North Local Government Area (LGA), Oyo State, Nigeria.

Methods:

The study interviewed 683 nursing mothers surveyed from 20 primary healthcare centers (PHCs) from 13th to 27th September 2018 in the LGA of study. We employed logistic regression models to examine the association of 4 domains of maternal SCS on under-five morbidity incidence controlling for the potential confounding effects of maternal, child, and household sociodemographic attributes.

Results:

Under-five children of mothers with poor status in the knowledge of child morbidity, experience-informed action, child morbidity exposure, and childcare vulnerability domains are, respectively, 497%, 323%, 400%, and 318% more likely to be at risk of morbidity than their peers born to mothers with good status. In addition, the odds of morbidity were lower for children born to women with more than 1 under-five children (AOR: 0.49, 95% CI: 0.27, 0.88), while the odds were higher for those from households that are food-insecure (AOR: 3.16, 95% CI: 1.31, 7.65) and dispose of wastes within the compound (AOR: 2.67, 95% CI: 1.31, 5.45) relative to children in the comparative categories.

Conclusion:

Our findings revealed the significance of maternal SCS as a crucial pathway for understanding and reducing under-five morbidity. Community interventions should prioritize empowering nursing mothers with prevention and care information necessary to reduce the under-five morbidity burden at the community level.

Neonatal mortality in the central districts of Ghana: analysis of community and composition factors

BACKGROUND

Communities and their composition have an impact on neonatal mortality. However, considering the smallest health administrative units as communities and investigating the impact of these communities and their composition on neonatal mortality in Ghana have not been studied. Therefore, this study aimed to investigate the effect of community-, household- and individual-level factors on the risk of neonatal mortality in two districts in Ghana.

METHODS

This was a longitudinal study that used the Kintampo Health and Demographic Surveillance System as a platform to select 30,132 neonatal singletons with 634 deaths. Multilevel cox frailty model was used to examine the effect of community-, household- and individual-level factors on the risk of neonatal mortality.

RESULTS

Regarding individual-level factors, neonates born to mothers with previous adverse pregnancy (aHR = 1.38, 95% CI: 1.05-1.83), neonates whose mothers did not receive tetanus toxoid vaccine (aHR = 1.32, 95% CI: 1.08-1.60) and neonates of mothers with Middle, Junior High School or Junior Secondary School education (aHR = 1.30, 95% CI: 1.02-1.65) compared to mothers without formal education, had a higher risk of neonatal mortality. However, female neonates (aHR = 0.61, 95% CI: 0.51-0.73) and neonates whose mother had secondary education or higher (aHR = 0.37, 95% CI: 0.18-0.75) compared to those with no formal education had a lower risk of mortality. Neonates with longer gestation period (aHR = 0.95, 95% CI: 0.94-0.97) and those who were delivered at home (aHR = 0.56, 95% CI: 0.45-0.70), private maternity home (aHR = 0.45, 95% CI: 0.30-0.68) or health centre/clinic (aHR = 0.40, 95% CI: 0.26-0.60) compared to hospital delivery had lower risk of mortality. Regarding the household-level, neonates belonging to third quintile of the household wealth (aHR = 0.70, 95% CI: 0.52-0.94) and neonates belonging to households with crowded sleeping rooms (aHR = 0.91, 95% CI: 0.85-0.97) had lower risk of mortality.

CONCLUSION

The findings of the study suggest the risk of neonatal mortality at the individual- and household-levels in the Kintampo Districts. Interventions and strategies should be tailored towards the high-risk groups identified in the study.

A predictive model and socioeconomic and demographic determinants of under-five mortality in Sierra Leone

Sierra Leone is among the countries that recorded high under-five child mortality rate in the world. To design and implement policies that can address this public health challenge, the present study developed a predictive model of factors that explained under-five mortality in Sierra Leone using the 2008 and 2013 Sierra Leone Demographic and Health Survey (SDHS) datasets. LASSO regression technique was used to select the predictors to build the under-five predictive single-level logit and multilevel logit models. Statistical analyses were performed in the R freeware version 3.6.1. About 588 (10.4%) and 1320 (11.1%) children under five were reported dead in 2008 and 2013, respectively. The significant predictors of under-five mortality in Sierra Leone were the total number of children ever born, number of children under five in the household, mother's birth in the last five years, mother's number of living children, and number of household members, household wealth, maternal contraceptive use and intention, number of eligible women in the household, type of toilet facility, sex of the child, and weight of the child at birth. The study identified certain predictors that deserve policy attention and interventions to strengthen the efforts of creating child welfare and survival atmosphere in Sierra Leone.