Scoping Study on Ethiopian Sesame Value Chain

The Consultative Group for International Agricultural Research (CGIAR) is the largest non-profit public agricultural research group globally. Recently, it has restructured itself into One-CGIAR with the intention of integrating its capabilities, knowledge, assets, people, and global presence for a new era of intercon nected and partnership-driven research towards achieving the Sustainable Development Goals (SDGs). One-CGIAR led the development of about 30 initiatives that aimed at addressing one more of the key impact areas of SDGs. One of these initiatives is “Rethinking Food Markets and Value Chains for Inclu sion and Sustainability,” referred to as rethinking markets in short. Rethinking Markets Initiative aims to provide evidence on what types of bundled innovations, incentive structures, and policies are most effec tive for creating more equitable sharing of income and employment opportunities in growing food markets, while reducing the food sector’s environmental footprint. The initiative has four work packages addressing different but interrelated issues and that are being implemented in one or more countries. Work Package 1 (WP1) is about making globally integrated value chains inclusive, efficient, and environmentally sustainable

Incidence and predictors of acute kidney injury among asphyxiated neonates in comprehensive specialized hospitals, northwest Ethiopia, 2023

Abstract Acute kidney injury (AKI) is characterized by a sudden decline in the kidneys' abilities to remove waste products and maintain water and electrolyte homeostasis. This study aims to determine the incidence and predictors of acute kidney injury among neonates with perinatal asphyxia admitted at the neonatal intensive care unit of West Amhara Comprehensive Specialized Hospital, Northwest Ethiopia, 2023. Multicentred institution-based retrospective follow-up study was conducted from October 1, 2021, to September 30, 2023, among 421 perinatal asphyxia neonates. A simple random sampling technique was used. The data were collected using a data extraction checklist from the medical registry of neonates. The collected data were entered into EPI-DATA V.4.6.0.0. and analyzed using STATA V.14. The Kaplan–Meier failure curve and log-rank test were employed. Bivariable and multivariable Cox regression was carried out to identify predictors of Acute kidney injury. Statistical significance was declared at a p ≤ 0.05. The overall incidence of AKI was 54 (95% CI 47.07–62.51) per 100 neonate days. C/S delivery (AHR = 0.64; (95% CI 0.43–0.94), prolonged labor (AHR = 1.43; 95% CI 1.03–1.99) low-birth weight times (AHR = 1.49; (95% CI 1.01–2.20), stage three HIE(AHR: 1.68; (95% CI (1.02–2.77), No ANC follow up (AHR = 1.43; 95% CI 1.9 (1.07–3.43) and Hyperkalemia (AHR = 1.56; 95% CI 1.56 (1.05–2.29); 95% CI) were significant predictors. The incidence rate of acute kidney injury was higher than in other studies conducted on other groups of neonates. Cesarean section delivery, prolonged low birthweight, no Anc follow-up, stage 3 HIE, and neonatal hyperkalemia were predictors of acute kidney injury. However, it needs further prospective study. Therefore, the concerned stakeholders should give due attention and appropriate intervention to these predictors

Setting up child health and mortality prevention surveillance in Ethiopia.

BACKGROUND: Mortality rates for children under five years of age, and stillbirth risks, remain high in parts of sub-Saharan Africa and South Asia. The Child Health and Mortality Prevention Surveillance (CHAMPS) network aims to ascertain causes of child death in high child mortality settings (>50 deaths/1000 live-births). We aimed to develop a “greenfield” site for CHAMPS, based in Harar and Kersa, in Eastern Ethiopia. This very high mortality setting (>100 deaths/1000 live-births in Kersa) had limited previous surveillance capacity, weak infrastructure and political instability. Here we describe site development, from conception in 2015 to the end of the first year of recruitment. METHODS: We formed a collaboration between Haramaya University and the London School of Hygiene & Tropical Medicine and engaged community, national and international partners to support a new CHAMPS programme. We developed laboratory infrastructure and recruited and trained staff. We established project specific procedures to implement CHAMPS network protocols including; death notifications, clinical and demographic data collection, post-mortem minimally invasive tissue sampling, microbiology and pathology testing, and verbal autopsy. We convened an expert local panel to determine cause-of-death. In partnership with the Ethiopian Public Health Institute we developed strategies to improve child and maternal health. RESULTS: Despite considerable challenge, with financial support, personal commitment and effective partnership, we successfully initiated CHAMPS. One year into recruitment (February 2020), we had received 1173 unique death notifications, investigated 59/99 MITS-eligible cases within the demographic surveillance site, and assigned an underlying and immediate cause of death to 53 children. CONCLUSIONS: The most valuable data for global health policy are from high mortality settings, but initiating CHAMPS has required considerable resource. To further leverage this investment, we need strong local research capacity and to broaden the scientific remit. To support this, we have set up a new collaboration, the “Hararghe Health Research Partnership”