Influence of Maternal Exposure to Mass Media on Growth Stunting Among Children Under Five: Mediation Analysis Through the Water, Sanitation, and Hygiene Program.

BACKGROUND: The issue of malnutrition in the Democratic Republic of Congo is severe. Meanwhile, the Water, Sanitation, and Hygiene program has been demonstrated to be effective in reducing the rates of growth stunting among children. OBJECTIVE: We aimed to explore the association between maternal exposure to mass media and stunting in children through water, sanitation, and hygiene behaviors. METHODS: Mediation analysis was conducted using data from the 2018 Multiple Indicators Cluster Surveys. RESULTS: Mothers' exposures to television and the internet in the Democratic Republic of Congo significantly decreases the risk of stunting in children by 5% and 10%, respectively, mediated by household water, sanitation, and hygiene facilities and practices. CONCLUSIONS: These findings could inform interventions and policies to reduce the rate of stunting rate children by promoting water, sanitation, and hygiene through mass media, especially through the internet and television.

Understanding the context of healthcare utilisation for children under-five with diarrhoea in the DRC: based on Andersen behavioural model.

BACKGROUND: Diarrhoea is one of the leading causes of death among children under 5 years old in the Democratic Republic of the Congo (DRC). Despite positive effects on prognosis, there is limited literature about the healthcare-seeking behaviours of children with diarrhoea, especially in the DRC. This study used the Andersen Behavioural Model, a theoretical framework, which was commonly adopted to study healthcare utilisation, to investigate and predict factors associated with the use of healthcare to treat diarrhoea in the DRC. METHODS: Data collected from 2626 under-five children with diarrhoea in the last 2 weeks from the Multiple Indicators Cluster Survey conducted by the National Institute of Statistics in 2017-2018, in collaboration with the United Nations Children's Fund were used in this study. Both direct and indirect relationships among four latent variables: predisposing traits, enabling resources access, health needs, and health services use were measured using the structural equation modelling to test the Andersen behavioural model. The confirmatory Factor Analysis model was also modified based on the DRC context to explore this further. RESULTS: The modified model had the goodness of fit index (GFI) of 0.972, comparative fit index (CFI) of 0.953 and RMSEA of 0.043 (95% CI: 0. 040, 0.047). Health needs (especially diarrhoea) had the largest positive direct effect on healthcare utilisation (standardized regression coefficient [ß] = 0.135, P < 0.001), followed by "enabling resources" (ß = 0.051, P = 0.015). Health needs also emerged as a mediator for the positive effect of predisposing on utilisation (indirect effect, ß = 0.014; P = 0.009). CONCLUSION: Access to improved water and improved sanitation, as well as socioeconomic factors like household wealth, were significantly associated with health-seeking behaviours for diarrhoea treatment in the DRC. Besides, caregivers who own higher levels of educational attainments were more inclined to have positive health services uses during the treatments. Efforts are needed to enhance the oral rehydration therapy coupled with educating caregivers on its appropriate use.

Socio-economic inequalities in children's nutritional status in Democratic Republic of the Congo in 2017-2018: an analysis of data from a nationally representative survey.

OBJECTIVE: The Democratic Republic of the Congo (DRC) has one of the highest levels of child undernutrition globally; however, little information exists on the underlying socio-economic inequalities resulting in undernutrition. This study aims to examine the differences in the nutritional statuses of children across different wealth quintiles and explores the association between malnutrition in children and related factors. DESIGN: We utilised the 2018 Multiple Indicator Cluster Survey data. We estimated the prevalence of malnutrition across all twenty-six provinces. The study used the WHO 2006 child growth standards to measure stunting, underweight and wasting. We employed a mixed-effect linear model to analyse the association between nutritional status and healthcare accessibility, domestic sanitation, and socio-demographic factors. SETTING: Twenty-six provinces in the DRC. PARTICIPANTS: 21 477 children under 5 years of age and 21 828 women of childbearing age in the DRC. RESULTS: The national prevalence of underweight, stunting and wasting was found to be 23·33 %, 42·05 % and 5·66 %, respectively. Household wealth and mother's education level were significantly positively associated with the nutritional statuses of children. Among households in the lowest wealth quintile, residence in urban areas was a protective factor against undernutrition. CONCLUSION: The findings of this study indicate considerable socio-economic inequalities in the nutritional statuses of children under 5 years of age in the DRC, highlighting the need for nutrition promotion as part of maternal and child healthcare. Interventions and policies should include improving nutrition education for less-educated mothers, in particular, in the central provinces of the DRC.

Trends of maternal health service coverage in the Democratic Republic of the Congo: a pooled cross-sectional study of MICS 2010 to 2018.

BACKGROUND: Maternal health services are essential for reducing maternal and newborn mortality. However, maternal health service status in the Democratic Republic of the Congo (DRC) remains poorly understood. This study aims to explore the trends of antenatal care (ANC) and skilled birth attendance coverage in the past decade in the DRC. METHODS: The 13,361 participants were from two rounds of Multiple Indicators Cluster Survey (MICS) conducted by the National Institute of Statistics of the Ministry of Planning of the DRC, in collaboration with the United Nations Children's Fund (UNICEF), in 2010 and 2017-2018. A regression-based method was adopted to calculate adjusted coverage of ANC and skilled birth attendance. Subgroup analysis based on different socioeconomic status (SES) was conducted to explore the impact of domestic conflicts. RESULTS: From 2010 to 2018, the overall weighted ANC coverage in the DRC declined from 87.3 % (95 % CI 86.1-88.0 %) to 82.4 % (95 % CI 81.1-84.0 %), while the overall weighted skilled birth attendance coverage increased from 74.2 % (95 % CI 72.5-76.0 %) to 85.2 % (95 % CI 84.1-86.0 %). Adjusted ANC coverage and adjusted skilled birth attendant coverage both declined in Kasai Oriental, but increased in Nord Kivu and Sud Kivu. In Kasai Occidental, ANC coverage declined, but skilled birth coverage increased. In the Kasai region, the largest decline in adjusted coverage of ANC was found among the poorest women. However, in the Kivu region, both the adjusted coverage of ANC and skilled birth attendance increased among the poorest women. CONCLUSIONS: Due to ongoing conflicts, there has been a systemic deterioration of maternal healthcare coverage in some regions of the DRC, particularly among people with low SES. However, in other regions, maternal healthcare services were not severely disrupted possibly due to substantial international health assistance.

Women's Empowerment and Children's Complete Vaccination in the Democratic Republic of the Congo: A Cross-Sectional Analysis.

(1) Background: The empowerment of women contributes to better child health and wellness. This study aimed to examine the association between women's empowerment and complete vaccination of children, as recommended in the National Expanded Program on Immunization (EPI) in the Democratic Republic of the Congo (DRC). (2) Methods: In this cross-sectional study, a principal component analysis (PCA) was conducted on data from the Multiple-Indicator Cluster Survey 6 (MICS-6) to determine the dimensions of women's empowerment. Logistic regression analysis was used to assess the association between women's empowerment and complete vaccination of children stratified by household wealth. In total, 3524 women with children aged 12-23 months were included in the study. (3) Results: Women's empowerment was defined by three dimensions, namely intrinsic agency, enabling resources, and social independence. Children of women with high levels of empowerment had higher odds of complete vaccination, with values of 1.63 (p = 0.002) and 1.59 (p = 0.012) for intrinsic agency and enabling resources of the empowerment, respectively, compared to the children of women with low levels of empowerment; however, social independence failed to be associated with the vaccination status of children. After stratification by household wealth, the OR of complete vaccination was higher in women from middle-income households with high levels of intrinsic agency (OR: 2.35, p = 0.021) compared to women from poor households with high levels of intrinsic agency (OR: 1.92, p = 0.004). (4) Conclusions: Higher levels of women's empowerment, especially intrinsic agency and enabling resources, were associated with complete vaccination in children in the DRC. Household wealth status influenced the associations. The empowerment of women is crucial in promoting the complete vaccination of children and providing equal access to vaccines.

Maternal education level and maternal healthcare utilization in the Democratic Republic of the Congo: an analysis of the multiple indicator cluster survey 2017/18.

BACKGROUND: Understanding how socioeconomic factors influence maternal health services utilization is crucial to reducing preventable maternal deaths in the DRC. Maternal education is considered an important associate of maternal health service utilization. This study aims to investigate the association between maternal education and the utilization of maternal health services, as well as present geographical and socio-economic disparities in the utilization. METHODS: The MICS survey was employed as the data source, which is a nationally representative survey conducted from 2017 to 2018 in the DRC. The exposure for this study was the maternal education level, which was categorized into three groups: (1) below primary and none, (2) primary and (3) secondary and above. Prenatal care indicators included: if the mother ever received prenatal care, if the mother had antenatal checks no less than four times, and if a skilled attendant was present at birth. Postnatal care indicators included: if the mother received postnatal care and if the baby was checked after birth. Emergency obstetric interventions were indicted by cesarean sections. Descriptive analyses and logistic regressions were used as analytical methods. RESULTS: Of all 8,560 participants included, 21.88 % had below primary school or no education, 39.81 % had primary school education, and 38.31 % had secondary education or above. The majority of participants were from rural areas, except for Kinshasa. Overall, a better education was associated with higher utilization of antenatal care. A dose-response effect was also observed. Compared to women with below primary or no education, women with secondary and above education were more likely to receive cesarean sections. Wealth status, as well as rural and urban division, modified the associations. CONCLUSIONS: Mothers' education level is an important associate for utilizing appropriate maternal healthcare, with wealth and region as modifying factors. Educational levels should be considered when designing public health interventions and women's empowerment programs in the DRC. For example, relevant programs need to stratify the interventions according to educational attainment.

The Effects of Conflicts and Self-Reported Insecurity on Maternal Healthcare Utilisation and Children Health Outcomes in the Democratic Republic of Congo (DRC).

Background The Democratic Republic of Congo (DRC) has experienced political unrest, civil insecurity, and military disputes, resulting in extreme poverty and a severely impaired health care system. To reduce the morbidity and mortality in women and children by strengthening healthcare, this study aimed at exploring the relationship between self-reported insecurity of mothers and maternal health-seeking behaviours and diseases in children in the DRC. Method Data collected from 8144 mothers and 14,403 children from the Multiple Indicators Cluster Survey (MICS) conducted by the National Institute of Statistics in 2017-2018, in collaboration with the United Nations Children's Fund (UNICEF), was used. The severity of the conflict in different provinces was measured using the Uppsala Conflict Data Program (UCDP) reports. Multivariate logistic regression and stratified analysis were utilized to explore the association between conflicts with maternal health-seeking behaviours and diseases among children. Results High self-reported insecurity was positively associated with skilled antenatal care (OR1.93, 95%CI 1.50-2.49), skilled attendants at delivery (OR1.42, 95%CI 1.08-1.87), and early initiation of breastfeeding (OR1.32, 95%CI 1.04-1.68). These associations were more significant in regions with more armed conflict. It was also found that children of mothers with high self-reported insecurity were more likely to suffer from diarrhoea (OR1.47, 95%CI: 1.14-1.88), fever (OR1.23, 95%CI 1.01-1.50), cough (OR1.45, 95%CI 1.19-1.77), and dyspnea (OR2.04, 95%CI 1.52-2.73), than children of mothers with low self-reported insecurity. Conclusions Conflicts increases mothers' insecurities and negatively affects children's development. However, high conflict regions have to increase governmental and international assistance to promote the availability and access to maternal and child health services.

Maternal Health-Seeking Behavior and Associated Factors in the Democratic Republic of the Congo.

Maternal health-seeking behavior (MHSB) is crucial for maternal health. However, little is known about MHSB in the Democratic Republic of the Congo (DRC). This study aims to evaluate the situation and socioeconomic associates of MHSB in the DRC. Based on the responses of 8,360 participants in a nationally representative survey, we adopted a K-modes cluster analysis algorithm to categorize women into three groups (i.e., infrequent service-users, partial service-users, and full service-users) according to their recent MHSB. Multinomial logistic regression was applied to identify the associated predictors of MHSB. The results show that most women (90.29%) did not receive integral maternal health services, including antenatal care, institutional delivery, and postnatal care. Compared with their counterparts, women who received higher maternal educational attainment, had good HIV-related knowledge, lived in urban regions, and lived in wealthier households were more likely to be partial service-users or full service-users. Women exposed to mass media at least once a week were more likely to be full service-users rather than infrequent service-users. The majority of participants who lived in Kasai and near provinces were infrequent service-users, indicating poor MHSB status in the region. Interventions to promote maternal health knowledge and awareness are highly recommended to improve MHSB in the DRC.