Background: Africa is unlikely to end hunger and all forms of malnutrition by 2030 due to public health problems such as the double burden of malnutrition (DBM). Thus, the aim of this study is to determine the prevalence of DBM and degree of socio-economic inequality in double burden of malnutrition among children under 5 years in sub-Saharan Africa. Methods: This study used multi-country data collected by the Demographic and Health Surveys (DHS) Program. Data for this analysis were drawn from the DHS women’s questionnaire focusing on children under 5 years. The outcome variable for this study was the double burden of malnutrition (DBM). This variable was computed from four indicators: stunting, wasting, underweight and overweight. Inequalities in DBM among children under 5 years were measured using concentration indices (CI). Results: The total number of children included in this analysis was 55,285. DBM was highest in Burundi (26.74%) and lowest in Senegal (8.80%). The computed adjusted Erreygers Concentration Indices showed pro-poor socio-economic child health inequalities relative to the double burden of malnutrition. The DBM pro-poor inequalities were most intense in Zimbabwe (−0.0294) and least intense in Burundi (−0.2206). Conclusions: This study has shown that across SSA, among under-five children, the poor suffer more from the DBM relative to the wealthy. If we are not to leave any child behind, we must address these socio-economic inequalities in sub-Saharan Africa.

As facilities are being prepared for the implementation of National Health Insurance (NHI) in South Africa, there is a pressing need to understand how the public equates the provision of health ser...

South Africa (SA) has the world’s highest burden of HIV infection, with an estimated 13.7% of the population living with HIV (PLWH/Persons Living With HIV). The early identification of PLWH and rap...

Background: The double burden of malnutrition (DBM) is a public health issue characterised by the coexistence of undernutrition and overnutrition within the same population, household, or individual. Undernutrition, manifesting as stunting, wasting, or being underweight, results from insufficient nutrient intake while overnutrition, manifesting as overweight or obesity, results from excessive caloric intake, poor diet quality, and sedentary lifestyles. This dual burden poses significant challenges for health systems due to lost productivity and increased healthcare expenditure.Methods: This study utilised data from the Demographic and Health Surveys (DHS) conducted in Zimbabwe for 2010–2011 and 2015, which provided information on women’s and children’s health and nutritional status, household characteristics, and socio-economic status. Pooled logistic regression was used to analyse the association between various sociodemographic factors and DBM among women and children. The Oaxaca-Blinder decomposition method explored differences in DBM between 2010–2011 and 2015.Results: The average age of mothers was approximately 31 years, and children’s ages averaged around 32 months. From 2010 to 2015, there was a notable socio-economic improvement, with a decrease in the percentage of mothers in the poorest quartile from 20 to 16% and an increase in the richest quartile from 22 to 23%. The study found a slight decrease in overall household DBM among women from 34% in 2010 to 32% in 2015, while DBM among children increased from 12 to 14%. Pooled logistic regression analysis indicated that children in rural areas had statistically significantly higher odds of experiencing DBM than their urban counterparts. The Oaxaca-Blinder decomposition showed that changes in residence status significantly impacted the increase in DBM among children. At the same time, the coefficient effect accounted for most of the unexplained differences in DBM among women.Conclusion: The growing DBM among women and children in Zimbabwe is significantly influenced by changes in residence status. The findings highlight the need for targeted public health interventions to address urban–rural disparities and emphasise the importance of considering socio-economic, environmental, and behavioural factors. Context-specific public health strategies, aligned with WHO’s Double Duty Actions, are essential to improve the nutritional health of Zimbabwe’s population.

Maternal health is a critical public health issue worldwide, with Sub-Saharan Africa (SSA) facing severe challenges in maternal mortality and morbidity. Despite global efforts, progress in SSA remains slow. The Sustainable Development Goals highlight the need for urgent action in this area. Value-based healthcare presents a promising approach to enhance maternal health in SSA by maximising health outcomes for mothers and newborns, enriching patient experiences and efficient resource use. However, the impact and implementation of value-based healthcare in Sub-Saharan Africa’s maternal health sector are not well studied. To evaluate the effectiveness and value of value-based healthcare interventions in improving maternal health outcomes in Sub-Saharan Africa. A systematic review was carried out drawing on articles from six databases published between 2000 and 2024. The results suggest that VBHC can significantly improve maternal health, evidenced by successful implementations like obstetric units in Sierra Leone and integrated care in South Africa, which improved outcomes and cost-effectiveness. The success of value-based healthcare interventions hinges on addressing access to quality care, infrastructure, and socioeconomic barriers. Further research is essential to confirm value-based healthcare efficacy in SSA and guide policy for better maternal health outcomes.

To date, there has been scant research on patient input regarding the desirable characteristics of healthcare facilities. This study uses the nominal group technique (NGT) to develop a discrete choice experiment (DCE) aimed at identifying and prioritizing, from the patient's perspective, essential characteristics for choosing public health facilities in Cape Town, South Africa. Four focus group discussions were conducted, including a total of 21 patients or their parents/companion at Bothasig and Goodwood community day centers (which offer primary care within substructure) in Cape Town. The group discussions followed the steps of NGT guidelines. At each facility, the frequency of an attribute being within the top 5 was determined, a weighted ranking was calibrated, and a subgroup analysis was performed. The 6 most important attributes in choosing a facility were "treatment by a doctor/(family physician)" (66.7%), "distance to the community day center" (61.7%), "availability of medication" (61.7%), "confidentiality during treatment" (57.7%), and "waiting time" and "treatment by a nurse." The weighted results showed that distance was the most important, followed by treatment by the doctors, treatment confidentiality, availability of medication, and waiting time and treatment by a nurse. This study confirms the feasibility and value of the NGT in identifying and prioritizing the attributes for a DCE. The NGT can be used to elicit patient preferences and, when used together with a DCE, can enhance information quality and quantity for decision making in tandem with patient satisfaction and experiences.