Eskeziaw Abebe Kassahun

Background: This paper documents implementation lessons from a trial evaluating locally sourced food vouchers and unrestricted cash transfers for the management of moderate acute malnutrition (MAM) among children aged 6–59 months and pregnant and breastfeeding women (PBW) in Ethiopia. Methods: Implementation lessons were synthesized from program documentation, routine monitoring data, supportive supervision reports, field observations, and complementary qualitative and operational studies conducted throughout the trial. Findings were examined to identify implementation bottlenecks, adaptations, and lessons across different levels. Results: The trial enrolled a total of 6636 participants across 102 health-post clusters, comprising 3296 children aged 6–59 months and 3340 pregnant and breastfeeding women. Voucher redemption and cash collection rates ranged from 70.2% to 88.6% across the two market-based modalities, indicating generally high transfer access, although incomplete redemption or collection remained, particularly in the cash arm. The modalities were implemented in purposively selected settings with functional markets and access to financial and digital infrastructure, supported by substantial trial-specific implementation inputs. Locally sourced food vouchers enabled households to access a defined nutritious food basket adapted to local food availability but required continuous market monitoring, retailer engagement, and adherence to basket specifications. Unrestricted cash transfers provided greater household choice and purchasing flexibility but were influenced by market conditions, price fluctuations, payment processes, and intra-household decision-making. Implementation bottlenecks included frontline health worker workload and turnover, digital system delays, shortages of cash and voucher cards, retailer non-compliance, financial service delivery challenges, and household barriers such as long travel distances, limited storage capacity, and intra-household food sharing. Adaptive management included refresher training and supportive supervision, strengthened coordination with digital and financial service providers, improved supply planning, enhanced retailer monitoring, and targeted social and behavior change communication. Conclusions: The implementation experience suggests that market-based modalities can be delivered through routine health-system structures when adequate market, digital, financial, and implementation capacity is available. However, these findings are based on purposively selected study settings and substantial implementation support and should not be interpreted as evidence of feasibility or sustainability at scale. Phased and context-specific scale-up is recommended, accompanied by continued assessment under routine program conditions and across settings with varying levels of market and health-system capacity.

Background: This paper documents implementation lessons from a trial evaluating locally sourced food vouchers and cash transfers for the management of moderate acute malnutrition (MAM) among children aged 6–59 months and pregnant and breastfeeding women in Ethiopia. Methods: Lessons were synthesized from program documentation, routine monitoring data, supportive supervision reports, field observations, and complementary studies conducted throughout the trial. Results: Implementation experience demonstrated that market-based nutrition approaches can be integrated into routine health systems with systematic program preparation, market feasibility assessments, digital and financial systems, and continuous implementation support. Locally sourced food vouchers enabled households to access a defined nutritious food basket while adapting to local food availability, although maintaining program quality required market monitoring, retailer engagement, and compliance with basket specifications. Cash transfers provided greater household choice and purchasing flexibility but were influenced by market conditions, price fluctuations, household preferences, and intra-household decision-making. Implementation encountered several operational bottlenecks, including frontline health worker workload and turnover, digital system delays, cash and voucher card supply challenges, retailer non-compliance, financial service provider payment issues, and household-level barriers such as long travel distances and intra-household food sharing. Adaptive management approaches were used throughout implementation, including refresher training and supportive supervision for Health Extension Workers (HEWs), strengthened coordination with digital and financial service providers, improved supply planning, enhanced retailer monitoring through local market support groups, and targeted nutrition counseling to support appropriate use of interventions. Conclusions: Overall, the trial demonstrated that market and digitally enabled nutrition interventions are feasible alternatives for MAM management when supported by strong implementation systems. Successful scale-up requires investment in frontline workforce capacity, reliable digital and logistical support systems, effective market governance, and social and behavior change approaches that address household realities, including food access, storage capacity, and intra-household decision-making.

Food voucher and cash transfer approaches have gained attention as potential treatment strategies for managing moderate acute malnutrition (MAM); however, their effectiveness depends on caregivers’ adherence to the intended use of these approaches, including redeeming vouchers for recommended food items, using cash transfers to purchase recommended nutritious foods, and ultimately ensuring that the target child adequately consumes the foods. This study, embedded within a cluster-randomized controlled trial, assessed adherence to these treatment approaches among 1,982 children (voucher: 954; cash: 1,028). Data were collected using a structured adherence assessment tool and program records. Adherence to child food consumption was assessed using caregiver-reported information on the child’s consumption of provided foods and household food-sharing practices and was categorized into high, moderate, and low adherence levels. We found that, in the voucher group, 62.6% of children had high adherence, 23.8% moderate adherence, and 13.6% low adherence. In the cash group, 58.2% had high adherence, 18.1% moderate adherence, and 23.7% low adherence. Overall, the voucher group had a higher proportion of children with high adherence and a lower proportion with low adherence compared with the cash group. In addition, we found that both common and arm-specific factors were associated with food-consumption adherence in the voucher and cash arms. In both arms, household food security and adequate SBCC exposure were positively associated with high adherence. Compared with children from severely food-insecure households, those from food-secure households had higher odds of high adherence in the voucher (COR = 2.21, 95% CI: 1.43–3.42) and cash (AOR = 5.91, 95% CI: 3.72–9.37) arms. Adequate SBCC exposure was also associated with higher adherence in the voucher (AOR = 1.68, 95% CI: 1.26–2.23) and cash (AOR = 1.77, 95% CI: 1.32–2.39) arms. In contrast, higher household wealth was associated with lower odds of high adherence in both the voucher (AOR = 0.54, 95% CI: 0.39–0.73) and cash (AOR = 0.71, 95% CI: 0.53–0.96) arms. However, household size was associated with adherence only in the cash arm. Overall, the findings indicate that adherence to voucher- and cash-based treatment approaches is influenced by household food security, caregiver exposure to SBCC, and household characteristics. Strengthening SBCC, providing targeted caregiver support, and addressing household-level barriers may improve the appropriate use and enhance the potential effectiveness of the approaches for managing MAM.

WHO recommends weight-for-height Z-score (WHZ) <-3 or Mid-Upper Arm Circumference (MUAC) < 125 mm as criteria for diagnosing wasting in children aged 6–59 months. In humanitarian settings, MUAC provides a simpler alternative than WHZ measurements, requiring only a tape measure. However, using MUAC alone may miss many at-risk children, causing discrepancies in wasting estimates. We analyzed 31 Standardized Monitoring and Assessment of Relief and Transitions (SMART) surveys from 2022-2025 across eight Ethiopian regions. The sample included 23,419 children aged 6–59 months with complete data. MUAC’s diagnostic performance for GAM was evaluated using WHZ as reference, applying standard parameters including sensitivity, specificity, PPV, NPV, Youden index, and ROC curve analyses. We assessed MUAC cut-offs’ accuracy nationally by age group (6–23 and 24–59 months) and administrative region. The optimal diagnostic MUAC cutoff for WHZ <−2 was 139 mm, with a Youden Index of 43%. This cutoff varied by age: 128 mm for children under 24 months (Youden Index: 54.5%) and 140 mm for children 24 months and older (Youden Index: 42.5%). MUAC diagnostic performance varied across regions, with optimal thresholds from 126.5 mm in Tigray to 143.5 mm in Gambella. Global acute malnutrition (GAM) prevalence differs based on the indicator used (MUAC versus WHZ-based), with MUAC sometimes overestimating or underestimating GAM compared to WHZ. Increasing the MUAC cutoff from 125 mm to 139 mm improves case detection but substantially increases false positives, showing a sensitivity-specificity trade-off. A single universal MUAC cutoff may under- and overestimate global acute malnutrition. Increasing the cutoff to 139 mm improves detection but raises false positives, highlighting the trade-off between sensitivity and specificity and emphasizing the need for context-specific thresholds to optimize screening. However, implementing context-specific thresholds remains uncertain.

Objective: Nutrition education plays a crucial role in improving the nutritional status of pregnant women, yet evidence of its impact in low-income settings like Ethiopia is limited. This study evaluated the effectiveness of facility-based nutrition education and counseling on pregnant women’s knowledge, dietary practices, and Fe-folic acid supplement use. Design: A cluster randomised controlled trial was conducted in Addis Ababa, Ethiopia, involving 683 pregnant women across twenty health centres assigned to intervention or control groups. Antenatal care providers in the intervention group received training on pregnancy nutrition and counseling, while the control group continued standard care per national guidelines. A total of 683 pregnant women were enrolled during their first and second antenatal care (ANC) visits. Mixed-effects linear regression was used to evaluate outcomes. Study setting: The study was conducted in Addis Ababa, Ethiopia, from August to December 2017. Participants: Pregnant women attending ANC follow-ups and healthcare providers working in ANC units. Results: The intervention group demonstrated significant improvements in knowledge, including iodised salt use (difference-in-differences (DID) 23 %), correct Fe-folic acid supplementation duration (DID 68 %) and the need for additional meals during pregnancy (DID 49·9 %). Dietary practices improved with higher dietary diversity (DID 32·3 %), increased dairy consumption (MD 1·2 v . –0·1; DID 1·2 per week) and higher Fe-folic acid supplementation (MD 4·9 v . 1·6; DID 3·2 per week). Conclusion: Nutrition education and counseling during ANC visits significantly improved pregnant women’s knowledge and dietary practices. Integrating and strengthening these interventions into routine ANC services could effectively enhance dietary intake and health outcomes.

Preterm birth is one of the most common obstetric complications in low- and middle-income countries, where access to advanced diagnostic tests and imaging is limited. Therefore, we developed and validated a simplified risk prediction tool to predict preterm birth based on easily applicable and routinely collected characteristics of pregnant women in the primary care setting. We used a logistic regression model to develop a model based on the data collected from 481 pregnant women. Model accuracy was evaluated through discrimination (measured by the area under the Receiver Operating Characteristic curve; AUC) and calibration (via calibration graphs and the Hosmer–Lemeshow goodness of fit test). Internal validation was performed using a bootstrapping technique. A simplified risk score was developed, and the cut-off point was determined using the “Youden index” to classify pregnant women into high or low risk for preterm birth. The incidence of preterm birth was 19.5% (95% CI:16.2, 23.3) of pregnancies. The final prediction model incorporated mid-upper arm circumference, gravidity, history of abortion, antenatal care, comorbidity, intimate partner violence, and anemia as predictors of preeclampsia. The AUC of the model was 0.687 (95% CI: 0.62, 0.75). The calibration plot demonstrated a good calibration with a p-value of 0.713 for the Hosmer–Lemeshow goodness of fit test. The model can identify pregnant women at high risk of preterm birth. It is applicable in daily clinical practice and could contribute to the improvement of the health of women and newborns in primary care settings with limited resources. Healthcare providers in rural areas could use this prediction model to improve clinical decision-making and reduce obstetrics complications.

Unintended pregnancy is among the major challenges of public health and a major reproductive health issue, due to its implications on the health, economic and social life of a woman and her family mainly in low and middle-income countries, particularly sub-Saharan Africa. The study aimed to assess unintended pregnancy and associated factors among pregnant women in Ethiopia using multilevel analysis from the EDHS 2016. We used the data from the 2016 Ethiopian Demographic and Health Survey, comprised of 1122 pregnant women. The prevalence of unintended pregnancy was determined through descriptive statistics and multilevel logistic regression was performed to identify factors associated with unintended pregnancy. Variables with a p-value < 0.05 in the selected model were considered as significantly associated and an adjusted odds ratio was used to determine the strength and direction of the association. The prevalence of unintended pregnancy was 29.7% (CI 27.0%, 32.4%), of which 20.4% were mistimed and 9.3% unwanted. Being multi-para and fertility preference to have no more child were associated with a higher risk of unintended pregnancy whereas husbands' polygamy relation, having no women autonomy, and living in Afar and Somali regions showed a less likely risk of experiencing an unintended pregnancy. This study showed that the proportion of women who experienced unintended pregnancy is considerably high. Parity, fertility preference, polygamy relation, women autonomy, and region were identified factors associated with unintended pregnancy. Therefore, policymakers at all levels, reproductive health experts, and concerned organizations should emphasize minimizing unintended pregnancy targeting the regional variation at large. Researchers have to explore the regional variations through a qualitative study.