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

ABSTRACT: 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.

SUBMITTER: Tagoe ET

PROVIDER: S-EPMC7063153 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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

Tagoe Eunice Twumwaa ET Agbadi Pascal P Nakua Emmanuel K EK Duodu Precious Adade PA Nutor Jerry John JJ Aheto Justice Moses K JMK

Heliyon 20200306 3

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 multil ...[more]

PMID: 32181389

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Project description:BackgroundGlobally, millions of children aged below 5 years die every year and some of these deaths could have been prevented. Though a global problem, under-five mortality is also a major public health problem in Ghana with a rate of 60 deaths per 1000 live births. Identification of drivers of mortality among children aged below 5 years is an important problem that needs to be addressed because it could help inform health policy and intervention strategies aimed at achieving the United Nations SDG Goal 3 target 2. The aim of this study is to develop a predictive model and to identify determinants of under-five mortality.MethodThe 2014 Ghana Demographic and Health Survey data was used in this study. Analyses were conducted on 5884 children. The outcome variable is child survival status (alive or dead). Single level binary logistic and multilevel logistic regression models were employed to investigate determinants of under-five mortality. The fit of the model was checked using Variance Inflation Factor and Likelihood Ratio tests. The Receiver Operating Characteristic curve was used to assess the predictive ability of the models. A p-value< 0.05 was used to declare statistical significance.ResultsThe study observed 289 (4.91%) deaths among children aged below 5 years. The study produced a good predictive model and identified increase in number of total children ever born, number of births in last 5 years, and mothers who did not intend to use contraceptive as critical risk factors that increase the odds of under-five mortality. Also, children who were born multiple and residing in certain geographical regions of Ghana is associated with increased odds of under-five mortality. Maternal education and being a female child decreased the odds of under-five mortality. No significant unobserved household-level variations in under-five mortality were found. The spatial map revealed regional differences in crude under-five mortality rate in the country.ConclusionThis study identified critical risk factors for under-five mortality and strongly highlights the need for family planning, improvement in maternal education and addressing regional disparities in child health which could help inform health policy and intervention strategies aimed at improving child survival.

Project description:BackgroundThe quality of contraceptive counseling information received by prospective clients of family planning services can greatly influence both the uptake and continued use of contraceptives. Therefore, an understanding of the level and determinants of quality contraception information among young women in Sierra Leon could inform family programs, with the aim of reducing the high unmet need in the country.MethodsWe analyzed secondary data from the 2019 Sierra Leone Demographic Health Survey (SLDHS). Participants were young women aged 15-24 years, who were using a family planning method (n = 1,506). Good quality family planning counselling was defined a composite variable that included; a woman being told about side effects, how to deal with side effects, and the availability of other family planning methods/options. Logistic regression was performed using SPSS software version 25.ResultsOut of 1,506 young women, 955 (63.4%, 95% CI: 60.5-65.3) received good quality family planning counselling services. Of the 36.6% that received inadequate counselling, 17.1% received no counselling at all. Good quality family planning counselling services was positively associated with receiving family planning services from government health facilities (aOR: 2.50, 95% CI: 1.83-3.41), having no major challenges with distance to access healthcare (aOR: 1.45, 95% CI: 1.10-1.90), having visited a health facility (AOR: 1.93, 95% CI: 1.45-2.58), and having been visited by a health field worker within the last 12 months (aOR: 1.67, 95% CI: 1.24-2.26) while residing in the southern region ( aOR: 0.39, 95% CI: 0.22-0.69) and belonging to the richest wealth quintile (aOR: 0.49, 95% CI: 0.24-0.98) were associated with less odds of receiving good quality family planning counselling services.ConclusionAbout 37% of the young women in Sierra Leone do not receive good quality family planning counselling services of which 17.1% received none. Based on the study's findings, it is important to emphasize the need to ensure that all young women have access to proper counselling services especially for those receiving these services from private health units, from the southern region and richest wealth quintile. Ensuring easier access through increasing affordable and friendly access points and strengthening field health workers' capacity in providing family planning services could also help improve access to good quality family planning services.

Project description:BackgroundLow birth weight (LBW) contributes significantly to infant and child mortality. Each year, about 20 1million deliveries are LBW with 96.5% occurring in developing countries. Whiles the incidence of LBW is reducing in other districts of Sierra Leone, it has been reported to be increasing in the Western Area Urban district. Determining the risk factors in a specific geographic area is important for identifying mothers at risk and thereby for planning and taking appropriate action. The current study sought to identify factors associated with LBW deliveries in the Western Area Urban district of Sierra Leone.MethodsA hospital-based unmatched 1:2 case-control study was conducted among mothers who delivered live singleton babies from November, 2019 to February, 2020 in five referral health facilities. Mothers were conveniently sampled and sequentially enrolled into the study after delivery. Their antenatal care cards were reviewed and a pre-tested questionnaire administered to the mothers. Data analysis was done using Stata 15.0 and association between maternal socio-demographic, socio-economic, obstetric and lifestyle factors and LBW assessed using bivariable and multivariable logistic regression analyses.ResultsA total of 438 mothers (146 cases and 292 controls), mean age: 24.2 (±5.8) and 26.1 (±5.5) years for cases and controls respectively participated in the study. Multivariable analysis revealed that being unemployed (AoR = 2.52, 95% CI 1.16-5.49, p = 0.020), having anaemia during pregnancy (AoR = 3.88, 95% CI 1.90-7.90, p < 0.001), having less than 2 years inter-pregnancy interval (AoR = 2.53, 95% CI 1.11-5.73, p = 0.026), and smoking cigarettes during pregnancy (AoR = 4.36, 95% CI 1.94-9.80, p < 0.001) were significantly associated with having LBW babies.ConclusionFactors associated with LBW identified were unemployment, anaemia during pregnancy, < 2 years inter-pregnancy interval and cigarette smoking during pregnancy. Health care providers should screen and sensitize mothers on the risk factors of LBW during antenatal sessions.

Project description:BackgroundA nationwide assessment of the link between women's empowerment and homebirth has not been fully examined in Sierra Leone. Our study examined the association between women's empowerment and homebirth among childbearing women in Sierra Leone using the 2019 Sierra Leone Demographic Health Survey (2019 SLDHS) data.MethodWe used the individual file (IR) of the 2019 SLDHS dataset for our analysis. A total of 7377 women aged 15-49 years who gave birth in the five years preceding the survey were included. Outcome variable was "home birth of their last child among women in the five years preceding the 2019 SLDHS. Women's empowerment parameters include women's knowledge level, economic participation, decision-making ability and power to refuse the idea of intimate partner violence. We used the complex sample command on SPSS version 28 to conduct descriptive and multivariate logistic regression analyses.ResultsThree in every 20 women had home childbirth (n = 1177; 15.3%). Women with low [aOR 2.04; 95% CI 1.43-2.92] and medium [aOR 1.44; 95%CI 1.05-1.97] levels of knowledge had higher odds of giving birth at home compared to those with high levels of knowledge. Women who did not have power to refuse the idea of intimate partner violence against women were more likely to had given birth at home [aOR 1.38; 95% CI1.09-1.74]. In addition, women with no [aOR 2.71; 95% CI1.34-5.46) and less than four antenatal care visits [aOR 2.08; 95% CI:1.51-2.88] and for whom distance to a health facility was a major problem [aOR 1.95; 95% CI1.49-2.56] were more likely to have had a homebirth. However, no statistically significant association was observed between a women's decision-making power and home birth [aOR 1.11; 95% CI 0.86-1.41].ConclusionDespite improvements in maternal health indicators, homebirth by unskilled birth attendants is still a public health concern in Sierra Leone. Women with low knowledge levels, who did not have power to refuse the idea of intimate partner violence against women, had less than four ANC visits and considered distance to a health facility as a major problem had higher odds of giving birth at home. Our findings reflect the need to empower women by improving their knowledge level through girl child and adult education, increasing media exposure, changing societal norms and unequal power relations that promote gender-based violence against women, and improving roads and transport infrastructure.

Project description:BackgroundUndernutrition accounts for at least 50% of the annual global under-five mortality burden. Although disparities in the childhood stunting between urban and rural areas in Sierra Leone have been documented, information on factors associated with these differences is lacking. We aimed to determine rural-urban correlates of stunting among children under the age of 5 in Sierra Leone.MethodsWe analyzed data from 2019 Sierra Leone demographic and health survey (SLDHS) focusing on under-five children. We conducted multivariable logistic regression to examine rural-urban factors associated with childhood stunting.ResultsPrevalence of stunting was 31.6% (95% CI 29.8-33.2) in rural areas and 24.0% (95% CI 21.6-26.1) in urban areas. Within the rural areas, children of stunted mothers (aOR = 2.37; 95% CI 1.07-5.24, P < .05), younger mothers aged 15 to 19 years (aOR = 2.08; 95% CI 1.17-3.69, P < .05), uneducated mothers (aOR = 1.87; 95% CI 1.28-2.71, P < .01), as well as older children (24-59 months) (aOR = 1.83; 95% CI 1.48-2.27, P < .001), and boys (aOR = 1.37; 95% CI 1.12-1.66, P < .01) were more likely to be stunted compared to those of non-stunted, older, post-primary education mothers and those who were less than 24 months and girls respectively. While urban children whose fathers had lower education (aOR = 1.94; 95% CI 1.10-3.42, P < .05), whose mothers were more parous (para 2-4) (aOR = 1.74; 95% CI 1.03-2.95, P < .05), and boys (aOR = 1.48; 95% CI 1.06-2.08, P < .05) were more likely to be stunted compared to their counterparts with fathers that had tertiary education, mothers of low parity and girls, respectively.ConclusionsStunting is more prevalent in the rural areas compared to the urban areas. Sex of the child was the only significant factor in both rural and urban areas. Our study findings suggest that programs designed to reduce stunting should aim for integrated yet context specific interventions in rural and urban areas.

Project description:BackgroundUnderweight prevalence continues to be major public health challenge worldwide, particularly in developing countries like Pakistan. This study is focused on socio-economic and demographic aspects of underweight prevalence among children under-five in Punjab.MethodsIn this study, several socioeconomic and demographic factors are considered using MICS-4 data-set. Only those variables which are usually described in the nutritional studies of children were picked. Covariates include: the age of children, sex of the children, age of mother, total number of children born to women, family wealth index quintile, source of drinking water, type of sanitation, place of residence, parents' education and occupation. All Categorical variables are effect coded. The child's age and the mother's age are assumed to be nonlinear, geographical region is spatial effect, while other variables are parametric in nature. Since, the response is binary, covariate comprises linear terms, nonlinear effects of continues covariates and geographic effects, so we have use Geo-additive models (based on Fully Bayesian approach) with binomial family under logit link. Statistical analysis is performed on Statistical package R using Bayes X and R2 Bayes X Libraries.ResultsUnderweight status of children was found to be positively associated with number of under-five children in household, total number of children ever born to women and age of mother when the child was born. Whereas, it negatively associated with place of residence, parent's education and family wealth index quintile. On the regional effect, the Southern Punjab has higher prevalence of underweight compared to Central and Northern Punjab.ConclusionSimilarity of our results with several other studies demonstrate that the Geo-additive models are an ideal substitute of other statistical models to analyze the underweight prevalence among children. Moreover, our findings suggest the Punjab Government, to introduce target-oriented programs such as poverty reduction and enhancement of education and health facilities for poor population and disadvantaged regions, especially Southern Punjab.

Dataset Information

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

Publications

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

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