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INTRODUCTION: Child malnutrition is the main contributor to the disease burden in Ethiopia. The objective of this study was to determine the prevalence and trends of child malnutrition and maternal anemia in Ethiopia at the national and regional state levels between 1990 and 2019. METHODS: We used all accessible data sources and analyzed prevalence, death, and years of life lost (YLL) due to child malnutrition and maternal anemia across nine regions and two chartered cities in Ethiopia, as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. The burden and trends of child and maternal malnutrition and anemia at the national level, across the regions, and in cities were assessed. Point estimates with 95% uncertainty intervals (UI) are presented. FINDINGS: Of the 190,173 total under-5 deaths in Ethiopia in 2019, 108,864 (95% UI: 83,544-141,718; 57·2%, 51·3-62·7) were attributed to malnutrition. The prevalence of stunting, underweight, and wasting was 37·0%, 27·0%, and 7·0%, respectively, in 2019. The YLL rate attributable to child malnutrition declined from 251,964 per 100,000 population (95% UI: 218,720-287,559) in 1990 to 57,615 (95% UI: 44,190-75,015) in 2019. The YLL rate of wasting, stunting, and underweight in Ethiopia was 18,566 per 100,000 population (95% UI: 12,950-26,123), 3,290 (95% UI: 1,443-5,856), and 5,240 (95% UI: 3,608-7,312) in 2019, respectively. Gambella showed the highest YLL rate reduction among regions, with a 98·2% change for stunting, 95·9% for wasting, and 97·9% for underweight between 1990 and 2019. The prevalence of anemia among under-5 children in Ethiopia was 62·0% (95% UI: 59·1%-65·1%) in 2019. Somali has the highest child anemia prevalence, 84·4% (95% UI: 79·8%-88·8%), compared to others in 2019. The prevalence of anemia in women of reproductive age (15-49 years) in Ethiopia was 20·4% (95% UI: 19·0%-21·8%) in 2019. INTERPRETATION: The prevalence of child malnutrition and maternal anemia in Ethiopia remains high compared to national, WHO, and UNICEF 2030 targets in all indicators of child malnutrition and anemia despite several interventions in the last three decades. The YLL rate due to child malnutrition was high, with regional variations. In conjunction with other sectors, especially agriculture, the National Nutrition Program and other nutrition initiatives must make greater efforts with short-term and long-term interventions to improve access and better nutrition.
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Ethiopia has made significant progress in the last two decades in improving the availability and coverage of essential maternal and child health services including childhood immunizations. As Ethiopia keeps momentum towards achieving national immunization goals, methods must be developed to analyze routinely collected health facility data and generate localized coverage estimates. This study leverages the District Health Information Software (DHIS2) platform to estimate immunization coverage for the first dose of measles vaccine (MCV1) and the third dose of diphtheria-pertussis-tetanus-Hib-HepB vaccine (Penta3) across Ethiopian districts ("woredas"). Monthly reported numbers of administered MCV1 and Penta3 immunizations were extracted from public facilities from DHIS2 for 2017/2018-2021/2022 and corrected for quality based on completeness and consistency across time and districts. We then utilized three sources for the target population (infants) to compute administrative coverage estimates: Central Statistical Agency, DHIS2, and WorldPop. The Ethiopian Demographic and Health Surveys were used as benchmarks to which administrative estimates were adjusted at the regional level. Administrative vaccine coverage was estimated for all woredas, and, after adjustments, was bounded within 0-100%. In regions with the highest immunization coverage, MCV1 coverage would range from 83 to 100% and Penta3 coverage from 88 to 100% (Addis Ababa, 2021/2022); MCV1 from 8 to 100% and Penta3 from 4 to 100% (Tigray, 2019/2020). Nationally, the Gini index for MCV1 was 0.37, from 0.13 (Harari) to 0.37 (Somali); for Penta3, it was 0.36, from 0.16 (Harari) to 0.36 (Somali). The use of routine health information systems, such as DHIS2, combined with household surveys permits the generation of local health services coverage estimates. This enables the design of tailored health policies with the capacity to measure progress towards achieving national targets, especially in terms of inequality reductions.
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Background: Despite large investments in the public health care system, disparities in health outcomes persist between lower- and upper-income individuals, as well as rural vs urban dwellers in Ethiopia. Evidence from Ethiopia and other low- and middle-income countries suggests that challenges in health care access may contribute to poverty in these settings. Methods: We employed a two-step floating catchment area to estimate variations in spatial access to health care and in staffing levels at health care facilities. We estimated the average travel time from the population centers of administrative areas and adjusted them with provider-to-population ratios. To test hypotheses about the role of travel time vs staffing, we applied Spearman's rank tests to these two variables against the access score to assess the significance of observed variations. Results: Among Ethiopia's 11 first-level administrative units, Addis Ababa, Dire Dawa, and Harari had the best access scores. Regions with the lowest access scores were generally poorer and more rural/pastoral. Approximately 18% of the country did not have access to a public health care facility within a two-hour walk. Our results suggest that spatial access and staffing issues both contribute to access challenges. Conclusion: Investments both in new health facilities and staffing in existing facilities will be necessary to improve health care access within Ethiopia. Because rural and low-income areas are more likely to have poor access, future strategies for expanding and strengthening the health care system should strongly emphasize equity and the role of improved access in reducing poverty.
