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Introduction: Growth monitoring and promotion services are strategies to promote child health and reduce child mortality. Even though Ethiopia is attempting different strategies to cope with the low rate of GMP utilization, the problem is still unresolved. Objective: Determine the pooled proportion of GMP utilization and its contributing factors among children less than two years in Ethiopia. Method: The review protocol was registered with PROSPERO, number CRD42023472746. The PRISMA-2020 statement guided the conduct of this review. Electronic databases and grey literature were used. Heterogeneity was evaluated using I2. Subgroup analysis was conducted. The random effect model was used to summarize the pooled effect sizes with their respective 95% CI with STATA version 17. To test the small study effect, the funnel plot and Egger's test were applied. Result: A total of seven (7) studies with 4027 participants were considered in this meta-analysis. The pooled proportion of GMP utilization reported by seven studies was 25.71% (95%CI: 24.39, 27.04). ANC follow-up (AOR = 2.11; 95% CI: 1.47, 2.76), PNC follow-up (AOR = 1.96; 95% CI: 1.44, 2.49), counseling (AOR = 2.88; 95% CI: 2.09, 3.68), maternal education (AOR = 2.89; 95% CI: 1.66, 4.13), paternal education (AOR = 3.78; 95% CI: 2.25, 5.32), family health card (AOR = 2.31; 95% CI: 1.67, 2.96), and mothers good knowledge towards GMP (AOR = 2.90; 95% CI: 1.72, 4.07) variables were positively associated with GMP service utilization. Conclusion and recommendation: The pooled proportion of GMP remains low in Ethiopia. ANC and PNC follow-up, counseling, maternal and paternal education, family health cards, maternal knowledge towards GMP were significantly associated. Findings are essential for evidence-based policy making, intervention, and input for ongoing research. [ABSTRACT FROM AUTHOR]

Background: Adverse drug reaction is one of the emerging challenges in antiretroviral treatment. Determining the incidence rate and predictors among children on antiretroviral treatment (ART) is essential to improve treatment outcomes and minimize harm. And also, evidence regarding the time to major adverse drug reactions and its predictors among children on antiretroviral treatment is limited in Ethiopia. Objective: This study aimed to assess the time to major adverse drug reaction and its predictors among children on antiretroviral treatment at selected public hospitals in Northwest Amhara, Ethiopia, 2023. Method: A retrospective cohort study was conducted among 380 children on antiretroviral treatment who enrolled from June 27, 2017, to May 31, 2022. Data was collected using a structured data extraction checklist. Data were entered into Epidata 4.6 and analyzed using STATA 14. The incidence rate of major adverse drug reactions was determined per person/months. The Cox proportional hazards regression model was used to identify predictors of major adverse drug responses. A p-value less than 0.05 with a 95% CI was used to declare statistical significance. Result: The minimum and maximum follow-up time was 6 and 59 months, respectively. The study participants were followed for a total of 9916 person-months. The incidence rate of major adverse drug reactions was 3.5 /1000 person–months. Advanced clinical stages of HIV/AIDS (III and IV) [adjusted hazard ratio = 7.3, 95% CI: 2.74–19.60)], poor treatment adherence [adjusted hazard ratio = 0.33, 95% CI: 0.21–0.42], taking antiretroviral treatment twice and more [adjusted hazard ratio = 3.43, 955 CI: (1.26–9.33)] and not taking opportunistic infection prophylaxis [adjusted hazard ratio = 0.35, 95% CI: 0.23–0.52)] were predictors of major adverse drug reactions. Conclusion: The incidence rate of major adverse drug reactions among children on antiretroviral treatment was congruent with studies in Ethiopia. Advanced clinical stages of HIV/AIDS, poor treatment adherence, taking antiretroviral treatment medications twice or more, and not taking opportunistic infection prophylaxis were predictors of major adverse drug reactions. [ABSTRACT FROM AUTHOR]

Introduction: More than two-third of global child death is occurred due to inappropriate feeding practice that happened during early childhood period. Evidence on meal frequency status among infant and young children at national level can be used to design appropriate interventions to improve the recommended feeding frequency. Therefore, this study was aimed to explore the spatial distribution and identify associated factors of inadequate meal frequency among children aged 6–23 months in Ethiopia. Methods: Secondary data analysis was conducted using the 2019 mini Ethiopian Demographic and Health Survey data. A total weighted sample of 1,532 children aged 6–23 months were included. To identify significant factors associated with of inadequate meal frequency, multilevel binary logistic regression model was fitted. Variables with p-value < 0.25 from the bi-variable model were exported to multivariable analysis. In the multivariable model, variables with p-value < 0.05 were declared as significantly associated factors and adjusted odds ratio (AOR) with its 95% confidence interval were reported. Multilevel models were compared using deviance and log-likelihood. Spatial analysis tools were utilized to visualize the distribution of inadequate meal frequency. Bernoulli model was fitted using SaTScan V.9.6 to identify most likely clusters and ArcGIS V.10.8 was used to map the hotspot areas. Ordinary least square and geographic weighted regression models were used and compared using information criteria and adjusted-R2. Local coefficients of factors associated with hotspots of inadequate meal frequency were mapped. Results: The prevalence of inadequate meal frequency was 47.03% (95% CI: 44.54%, 49.53%) in Ethiopia. Age of the child, sex of the household head, timely initiation of breastfeeding, current breastfeeding status, number of antenatal care visit, maternal education, and region were significantly associated with inadequate meal frequency. The spatial distribution of inadequate meal frequency was showed significant variation across Ethiopia (Global Moran's I = 0.164, p-value <0.001). A total of 38 significant clusters were detected through SaTScan analysis, from these the 22 primary clusters were located in Somali and Harari. Conclusion and recommendation: The prevalence of inadequate meal frequency was high in Ethiopia and had significant clustering patter. Significant hotspot clusters were located in Somali, northern Afar, Harari, Amhara, Gambela, and eastern South nation nationalities and peoples' region. Therefore, public health interventions which enhance breastfeeding practice, optimal number of antenatal care visits, educational empowerments should target hotspot areas to decrease inadequate meal frequency practice. [ABSTRACT FROM AUTHOR]