Reach and impact of a nationwide media campaign in Ethiopia for promoting safe breastfeeding practices in the context of the COVID-19 pandemic.

Background: In response to the COVID-19 challenge and the consequent concerns and misconceptions about potential mother-to-child virus transmission, the United Nations Children's Fund (UNICEF), in collaboration with the Ethiopian Ministry of Health, launched a 3-month nationwide media campaign to promote appropriate and safe breastfeeding practices using national and regional television and radio channels, as well as social media. This study assesses the reach and impact of a media campaign in Ethiopia on improving mothers', partners'/caregivers', and the public's awareness of and practices related to appropriate and safe breastfeeding.

Methods: A two-round mobile survey was conducted using random digit dialing (RDD) and an interactive voice response (IVR) system.

Evaluating the coverage and quality of nutrition programs via a bottom-up approach: A secondary analysis of real-time data from an end-user monitoring system in Ethiopia.

Over the last two decades, great efforts and investments have been made in Ethiopia to ensure that all children have equal access to nutrition services in health facilities. While quality health systems are a prerequisite for quality nutrition services, little attention has been given to the evaluation of the supply and delivery services. The purpose of the study was to evaluate the coverage and quality of the nutrition-specific interventions delivered through the health system.

Routinely MUAC screening for severe acute malnutrition should consider the gender and age group bias in the Ethiopian non-emergency context.

Early identification of children <5 years with severe acute malnutrition (SAM) is a high priority to reduce child mortality and improved health outcomes. Current WHO guidelines for community screening for SAM recommend a Mid-Upper-Arm Circumference (MUAC) of less than 115 mm to identify children with SAM, but this cut-off does not identify a significant number of children with a weight-for-height Z-score <-3. To establish new specific MUAC cut-offs, pooled data was obtained for 25,755 children from 49 SMART recent surveys in Ethiopia (2016-2019).