Nutrition assessment of under-five children in Sudan: Tracking the achievement of the global nutrition targets

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Study Justification:
– Malnutrition is a significant issue in Sudan, particularly among children under five years old.
– Sudan is affected by conflict and experiences high levels of food insecurity, undernutrition, and micronutrient deficiencies.
– The study aims to assess the nutritional status of children under five and track progress towards achieving the Global Nutrition Targets.
Study Highlights:
– Global stunting prevalence in Sudan is 36.35%, with moderate stunting at 21.25% and severe stunting at 15.06%.
– Global wasting prevalence is 13.6%, with moderate wasting at 10.8% and severe wasting at 2.7%.
– Sudan has made progress in increasing exclusive breastfeeding rates.
– However, Sudan still faces challenges in implementing strategies, policies, and regulatory measures to address malnutrition and achieve the Global Nutrition Targets and Sustainable Development Goals.
Study Recommendations:
– Comprehensive, multi-sectoral action is needed to address malnutrition in all its forms.
– Strategies, policies, and regulatory measures should be implemented to tackle malnutrition effectively.
– Increased efforts are required to improve nutrition interventions and programs for children under five in Sudan.
Key Role Players:
– Government agencies responsible for health, nutrition, and child welfare.
– Non-governmental organizations (NGOs) working on nutrition and child development.
– International organizations providing support and funding for nutrition programs.
– Health professionals, including doctors, nurses, and nutritionists.
– Community leaders and volunteers involved in community-based nutrition initiatives.
Cost Items for Planning Recommendations:
– Funding for nutrition programs, including the provision of therapeutic foods and supplements.
– Training and capacity-building for healthcare professionals and community workers.
– Monitoring and evaluation systems to track progress and identify areas for improvement.
– Awareness campaigns and educational materials for caregivers and communities.
– Infrastructure and equipment for healthcare facilities, including weighing scales and measurement tools.
– Research and data collection to inform evidence-based interventions and policies.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a secondary data analysis of a quantitative survey, which provides a solid foundation. The study describes the nutritional status of children under five years old and identifies progress towards achieving the Global Nutrition Targets. However, the abstract does not provide specific details about the methodology used in the survey or the sample size. To improve the strength of the evidence, the abstract should include more information about the study design, sampling methodology, and sample size. Additionally, it would be helpful to provide information about the statistical analysis methods used to calculate the prevalence of undernutrition in children. Including these details would enhance the transparency and replicability of the study.

Background: Malnutrition places a heavy burden on the health, well-being, and sustainable development of populations in Sudan, especially a country affected by conflict, which continues to experience high levels of food insecurity, undernutrition, and micronutrient deficiencies; 3.3 million are acutely malnourished, with 522,000 children suffering from severe acute malnutrition and approximately 2.2 million children requiring treatment for moderate acute malnutrition. This study aims to describe the nutritional status of children under five years old and identify the progress toward the achievement of the Global Nutrition Targets. Methods: This is a secondary data analysis of a quantitative survey, using the second-round of the Simple Spatial Survey Method (S3M II) in Sudan in the period 2018–2019. The analysis used an area-based sampling methodology in all 18 Sudanese states. Data from the WHO Tracking Tools of the Global Nutrition Targets was used to reflect the progress in achieving the targets in Sudan. Results: Global stunting prevalence was at 36.35 percent including moderate stunting prevalence and severe stunting prevalence (21.25 percent and 15.06 percent respectively). Global wasting prevalence was 13.6 percent including moderate wasting prevalence and severe wasting prevalence (10.8 percent and 2.7 percent respectively). Sudan has made great progress in achieving the target of increasing exclusive breastfeeding. However, despite the welcome commitments by the Government and all stakeholders, Sudan is still struggling to implement strategies, policies, and regulatory measures to address malnutrition and achieve the Global Nutrition Targets in 2025 and the Sustainable Developmental Goals in 2030. Therefore, more than ever, there is a need for comprehensive, multi-sectoral action to address malnutrition in all its forms.

This manuscript is a secondary data analysis of a quantitative descriptive study, based on the data from the second-round of the Simple Spatial Survey Method (S3M II) in Sudan in the period 2018–2019. In this manuscript, we used two types of data resources. First, the data from the S3M II report to describe the nutrition indicators in children under five years-old [14]. Second, the data from the Tracking Tools of the Global Nutrition Targets was used (stunting, wasting, overweight, and exclusive breastfeeding) to reflect the progress of achieving the targets in Sudan [15]. We compared the findings of the S3M II survey with the baseline data of 2010 in the dashboard of the Tracking Tools. We compared the findings of S3M II with the findings of S3M I in the discussion to have an overview on the changes occurring on the nutritional status of children in the period between 2013 and 2018. Both surveys adapted the same methodology. However, the overall sample size increased in S3M II compared to S3M I, which was mainly due to improved access to the villages. The survey S3M II used an area-based sampling methodology in all 18 Sudanese states. It gathered data on 230 critical indicators regarding the following broad topics: health; nutrition; water, sanitation, and hygiene (WASH) as well as child and social protection. The nutritional status of children aged 6–59 months in S3M II was assessed via anthropometric measurements of weight, height, and mid-upper-arm circumference (MUAC) using standard measurement tools; Seca electronic scale bat.mains.solar for weighing, portable L-hgt mea.syst/SET-2 for height, and Children’s Mid Upper Arm Circumference measuring tape with cut-off point at 11.5 cmt. Using weight and height measurements, the corresponding nutritional indices of weight-for-age Z-score (WAZ), height-for-age Z-score (HAZ), and weight-for-height Z-score (WHZ) were calculated using the WHO Child Growth Standards (WGS) as reference standard [16], to determine the child’s underweight status, stunting status, and wasting status, respectively. Table 1 shows the standard thresholds for wasting, stunting, and overweight. The Z-scores were calculated using the Z-scorer package in R software. MUAC, on the other hand, was used as-is without standardization and assessed based on accepted cut-offs for wasting status [17]. Finally, nutritional oedema was assessed clinically using the bilateral pitting oedema test. Following this the prevalence of various forms of undernutrition in children 6–59 months are given. Prevalence thresholds for public health significance for wasting, stunting, and overweight in children. Source 1: New prevalence thresholds for stunting, wasting, and overweight in children’ [19]. Source 2: Prevalence thresholds for wasting, overweight, and stunting in children under 5 years [20]. The survey S3M I was carried out in all 18 states of Sudan using the same methodology of area-based sampling. A total of 45,094 households and 71,625 children below 5 years of age were surveyed. Data collection took place during June/July 2013 for 14 states and in November 2013 for the remaining 4 states (Khartoum, Red Sea, South and West Kordofan) in Sudan. A total of 59 indicators was measured covering child and maternal health and nutrition as well as WASH services [18]. The WHO, in collaboration with United Nations Children’s Fund (UNICEF) and the European Commission (EC), developed the Tracking Tool to help countries set their national targets and monitor progress. This tool allows users to explore scenarios taking into account different rates of progress for the six global targets and the time remaining until 2025. The baseline data for Sudan was taken from the household health survey, second round 2010 [15]. The S3M survey was designed to be spatially representative of the whole country, including its smaller administrative units up to the locality level, except for a few inaccessible areas. The selection of sample units was performed based on random sample selection using sampling software designed to undertake S3M variable density sampling. An even distribution of primary sampling units (PSUs) (i.e., villages/city blocks) was selected from across the country. About 31, 32, 33 PSUs (i.e., villages/city blocks) were selected based on their proximity to centroids of a hexagonal grid laid over the entire country. Across Sudan, a total of 93,882 households and 145,002 children below 5 years of age were surveyed. To select PSUs, the map-segment-sample approach was used for within-community sampling of PSUs. In this approach, PSUs organized as ribbons of dwellings were sampled systematically, while those organized as clusters of dwellings were sampled using a random walk strategy [21,22]. The S3M II survey collected data in two phases. Data from phase one states (North Darfur, East Darfur, West Kordofan, River Nile, Sennar, South Darfur, North Kordofan, Khartoum and Northern states) in Sudan was collected in October 2018. Data from phase two states (White Nile, Kassala, Blue Nile, Central Darfur and West Darfur, Red Sea, South Kordofan and Gedaref states) in Sudan was collected from November 2018 to January 2019.

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Based on the provided information, here are some potential innovations that can be used to improve access to maternal health:

1. Mobile Health (mHealth) Applications: Develop and implement mobile applications that provide pregnant women and new mothers with access to important health information, appointment reminders, and personalized care plans. These apps can also include features for tracking nutrition, monitoring fetal development, and connecting with healthcare providers.

2. Telemedicine Services: Establish telemedicine services that allow pregnant women in remote or underserved areas to consult with healthcare professionals through video calls or phone consultations. This can help overcome geographical barriers and provide timely access to prenatal care and advice.

3. Community Health Workers: Train and deploy community health workers who can provide education, counseling, and basic healthcare services to pregnant women and new mothers in their own communities. These workers can help bridge the gap between healthcare facilities and remote populations, ensuring that women receive the necessary care and support.

4. Maternal Health Vouchers: Implement voucher programs that provide pregnant women with financial assistance to access essential maternal health services, such as prenatal care, delivery, and postnatal care. These vouchers can be distributed through community health centers or local organizations, ensuring that women have the means to seek appropriate care.

5. Health Information Systems: Develop and strengthen health information systems that collect and analyze data on maternal health indicators. This can help identify gaps in service delivery, monitor progress towards targets, and inform evidence-based decision-making to improve maternal health outcomes.

6. Public-Private Partnerships: Foster collaborations between public and private sectors to improve access to maternal health services. This can involve leveraging private sector resources, expertise, and infrastructure to expand healthcare facilities, improve transportation networks, and enhance the availability of essential supplies and medications.

7. Maternal Health Education Programs: Implement comprehensive maternal health education programs that target women, families, and communities. These programs can provide information on nutrition, hygiene, prenatal care, childbirth preparation, and postnatal care, empowering women to make informed decisions about their health and the health of their babies.

8. Maternal Health Financing Models: Explore innovative financing models, such as social health insurance or community-based health financing, to ensure that maternal health services are affordable and accessible to all women, regardless of their socioeconomic status.

9. Maternal Health Task Forces: Establish multi-sectoral task forces or committees dedicated to improving maternal health outcomes. These task forces can bring together stakeholders from the government, healthcare sector, civil society, and community organizations to coordinate efforts, share best practices, and advocate for policy changes that prioritize maternal health.

10. Maternal Health Infrastructure Development: Invest in the development and improvement of healthcare infrastructure, including maternity wards, birthing centers, and neonatal care units. This can help ensure that women have access to safe and quality care during pregnancy, childbirth, and the postpartum period.

It is important to note that the implementation of these innovations should be context-specific and tailored to the unique needs and challenges of the Sudanese population.
AI Innovations Description
Based on the provided description, the recommendation to improve access to maternal health in Sudan is to implement comprehensive, multi-sectoral action to address malnutrition in all its forms. This recommendation is based on the findings that Sudan is still struggling to implement strategies, policies, and regulatory measures to address malnutrition and achieve the Global Nutrition Targets in 2025 and the Sustainable Development Goals in 2030.

To improve access to maternal health, the following actions can be taken:

1. Strengthening healthcare infrastructure: Enhance the capacity and availability of healthcare facilities, especially in areas with high rates of malnutrition. This includes improving the availability of trained healthcare professionals, medical equipment, and essential medicines.

2. Nutrition education and counseling: Implement nutrition education programs targeting pregnant women and mothers of young children. These programs should focus on promoting healthy eating habits, breastfeeding, and proper nutrition during pregnancy and early childhood.

3. Community-based interventions: Engage local communities in addressing malnutrition by establishing community-based nutrition programs. These programs can include nutrition screening, counseling, and support groups to empower individuals and families to make informed decisions about their health.

4. Collaboration with stakeholders: Foster collaboration between government agencies, non-governmental organizations, and international partners to coordinate efforts and resources in addressing malnutrition. This includes sharing best practices, data, and resources to ensure a comprehensive and effective approach.

5. Monitoring and evaluation: Establish a robust monitoring and evaluation system to track progress in achieving the Global Nutrition Targets. This includes regular data collection, analysis, and reporting to identify gaps and inform evidence-based decision-making.

By implementing these recommendations, Sudan can improve access to maternal health and address malnutrition, ultimately leading to better health outcomes for mothers and children.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health:

1. Strengthening healthcare infrastructure: Investing in the development and improvement of healthcare facilities, particularly in rural and conflict-affected areas, can enhance access to maternal health services. This includes building and equipping clinics, hospitals, and maternity centers, as well as ensuring the availability of essential medical supplies and equipment.

2. Increasing skilled healthcare workforce: Expanding the number of skilled healthcare professionals, such as doctors, nurses, midwives, and community health workers, can improve access to quality maternal healthcare. This can be achieved through training programs, incentives for healthcare professionals to work in underserved areas, and recruitment drives.

3. Promoting community-based interventions: Implementing community-based interventions, such as mobile clinics, outreach programs, and community health education, can help reach women in remote areas who may have limited access to healthcare facilities. These interventions can provide essential prenatal care, postnatal care, and family planning services.

4. Enhancing transportation and referral systems: Improving transportation infrastructure and establishing efficient referral systems can facilitate timely access to emergency obstetric care for pregnant women in need. This can involve providing ambulances, improving road networks, and establishing communication channels between healthcare facilities.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Data collection: Gather baseline data on the current state of maternal health access, including indicators such as the number of healthcare facilities, healthcare workforce availability, transportation infrastructure, and maternal health outcomes.

2. Define simulation parameters: Determine the specific variables and parameters that will be used to simulate the impact of the recommendations. This could include factors such as the number of new healthcare facilities, the increase in healthcare workforce, the improvement in transportation infrastructure, and the expected increase in service utilization.

3. Model development: Develop a simulation model that incorporates the collected data and the defined parameters. This model should simulate the potential changes in access to maternal health services based on the recommended interventions.

4. Scenario testing: Run the simulation model using different scenarios that represent the implementation of the recommendations. This could involve varying the magnitude of the interventions or testing different combinations of interventions.

5. Impact assessment: Analyze the simulation results to assess the impact of the recommendations on improving access to maternal health. This could include evaluating changes in key indicators such as the number of women accessing prenatal care, the reduction in maternal mortality rates, and the improvement in overall maternal health outcomes.

6. Sensitivity analysis: Conduct sensitivity analysis to assess the robustness of the simulation results and identify key factors that may influence the effectiveness of the recommendations. This can help refine the interventions and identify potential challenges or limitations.

By following this methodology, policymakers and healthcare stakeholders can gain insights into the potential impact of different interventions on improving access to maternal health and make informed decisions on resource allocation and implementation strategies.

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