ObjectivePostnatal care (PNC) is essential for preventing maternal and newborn deaths; however, it still remains less well recognised in low-income and middle-income countries. This study was aimed to explore geographical patterns and identify the determinants of PNC usage among women aged 15–49 years in Ethiopia.MethodsA secondary data analysis was conducted using the 2016 Ethiopian demographic and health survey data. A total of 7193 women were included in this analysis. We employed spatial scan statistics to detect spatial inequalities of PNC usage among women. A multilevel binary logistic regression model was fitted to identify factors associated with women’s PNC.ResultsThe prevalence of PNC usage among women was 6.9% (95% CI 6.3% to 7.5%). The SaTScan spatial analysis identified three most likely clusters with low rates of PNC use namely southwestern Ethiopia (log likelihood ratio (LLR)=18.07, p<0.0001), southeast Ethiopia (LLR=14.29, p<0.001) and eastern Ethiopia (LLR=10.18, p=0.024). Women with no education (Adjusted Odd Ratio (AOR)=0.55, 95% CI 0.37 to 0.84) and in the poorest wealth quantile (AOR=0.55, 95% CI 0.39 to 0.78) were less likely to use PNC, while women aged 35–49 years (AOR: 1.75, 95% CI 1.01 to 3.04) and with at least four antenatal care (ANC) visits (AOR=2.37, 95% CI 1.71 to 3.29) were more likely to use PNC.ConclusionPNC usage remains a public health problem and has spatial variations at regional levels in the country. Low prevalence of PNC was detected in the Somali, Oromia, Gambella and Southern Nations, Nationalities, and People’s Region (SNNPR) regions. Women with low educational status, old age, being in poorest wealth quantile and history of ANC visits were significantly associated with PNC usage. Hence, it is better to strengthen maternal health programmes that give special emphasis on health promotion with a continuum of care during pregnancy.

Background: Ethiopia signed both for Millennium Development Goals (MDGs) previously and Sustainable Development Goals (SDGs) currently to improve food security through gender equality and empowerment of women by positioning them as household leader. However, there is no concrete evidence about the impact of being of the female gender for household head on the prevalence of food insecurity at the national level, the authors' intention being to fill this gap. Methods: Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol (PRISMA-P) guideline was followed. All major databases such as PubMed/ MEDLINE, WHOLIS, Cochrane Library, Embase, PsycINFO, ScienceDirect, Web of science, and reference lists were used to identify published articles, whereas shelves, author contact, Google, and Google Scholar were also searched to identify unpublished studies. Joanna Briggs Institute Meta-Analysis of Statistical Assessment and Review Instrument (JBI-MAStARI) was used for critical appraisal of studies. Metaanalysis was conducted using the STATA software version 14. The random effect model was used to estimate the pooled prevalence of food insecurity at 95% confidence level, while subgroup analysis and meta-regression were employed to identify the possible source of heterogeneity and the associated factors respectively. Moreover, Begg's test was used to check publication bias. Results: A total of 143 articles were identified, of which 15 studies were included in the final model with a total sample size of 2084 female-headed households. The pooled estimate of food insecurity among female-headed households was 66.11% (95% confidence level (CL) 54.61, 77.60). Female-headed households had 1.94 (95% CL 1.26, 3.01) times the odds of developing food insecurity as compared with maleheaded households in Ethiopia. However, considerable heterogeneity across studies was also exhibited (I 2 = 92.5%, p value < 0.001).

BackgroundAnemia is a common hematologic disorder among human Immunodeficiency virus (HIV) infected adult Individuals. However, there is no concrete scientific evidence established at national level in Ethiopia. Hence, this review gave special emphasis on Ethiopian HIV infected adult individuals to estimate pooled prevalence of anemia and its associated factors at national level.MethodsStudies were retrieved through search engines in PUBMED/Medline, Cochrane Library, and the web of science, Google and Google scholar following the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P). Joanna Briggs Institute Meta-Analysis of Statistical Assessment and Review Instrument (JBI-MAStARI) was used for critical appraisal of the included studies. Random effects meta-analysis was used to estimate the pooled prevalence of anemia and associated factors at 95% Confidence interval with its respective odds ratio (OR). Meta regression was also carried out to identify the factors. Moreover, Sub-group analysis, begs and egger test followed by trim-and-fill analysis were employed to assess heterogeneity and publication bias respectively.ResultA total of 532 articles were identified through searching of which 20 studies were included in the final review with a total sample size of 8079 HIV infected adult individuals. The pooled prevalence of anemia was 31.00% (95% CI: 23.94, 38.02). Cluster of Differentiation 4 (CD4) count <= 200 cells/μl with OR = 3.01 (95% CI: 1.87, 4.84), World Health Organization (WHO) clinical stage III&IV with OR = 2.5 (95% CI: 1.29, 4.84), opportunistic infections (OIs) with OR = 1.76 (95% CI: 1.07, 2.89) and body mass index (BMI) < 18.5 kg/M2 with OR = 1.55 ((95% CI: 1. 28, 1.88) were the associated factors.ConclusionThis review demonstrates high prevalence of anemia among HIV infected adults. Low CD4 count, WHO clinical stage III&IV, OIs and low level of BMI were found to have significant association with the occurrence of anemia. Therefore, the responsible stockholders including anti retro viral treatment (ART) clinics should strengthen the system and procedures for the early diagnosis of opportunistic infection and screening of underlying problems. There should be also early screening for OIs and under nutrition with strict and frequent monitoring of HIV infected individuals CD4 count.

Background In Ethiopia, despite considerable improvement of measles vaccination, measles outbreaks is occurring in most parts of the country. Understanding the neighborhood variation in childhood measles vaccination is crucial for evidence-based decision-making. However, the spatial pattern of measles-containing vaccine (MCV1) and its predictors are poorly understood. Hence, this study aimed to explore the spatial pattern and associated factors of childhood MCV1 coverage. Methods An in-depth analysis of the 2016 Ethiopia demographic and health survey data was conducted, and a total of 3722 children nested in 611 enumeration areas were included in the analysis. Global Moran’s I statistic and Poisson-based purely spatial scan statistics were employed to explore spatial patterns and detect spatial clusters of childhood MCV1, respectively. Multilevel logistic regression models were fitted to identify factors associated with childhood MCV1. Results Spatial hetrogeniety of childhood MCV1 was observed (Global Moran’s I = 0.13, p -value < 0.0001), and seven significant SaTScan clusters of areas with low MCV1 coverage were detected. The most likely primary SaTScan cluster was detected in the Afar Region, secondary cluster in Somali Region, and tertiary cluster in Gambella Region. In the final model of the multilevel analysis, individual and community level factors accounted for 82% of the variance in the odds of MCV1 vaccination. Child age (AOR = 1.53; 95%CI: 1.25–1.88), pentavalent vaccination first dose (AOR = 9.09; 95%CI: 6.86–12.03) and third dose (AOR = 7.12; 95%CI: 5.51–9.18, secondary and above maternal education (AOR = 1.62; 95%CI: 1.03–2.55) and media exposure were the factors that increased the odds of MCV1 vaccination at the individual level. Children with older maternal age had lower odds of receiving MCV1. Living in Afar, Oromia, Somali, Gambella and Harari regions were factors associated with lower odds of MCV1 from the community-level factors. Children far from health facilities had higher odds of receiving MCV1 (AOR = 1.31, 95%CI = 1.12–1.61). Conclusion A clustered pattern of areas with low childhood MCV1 coverage was observed in Ethiopia. Both individual and community level factors were significant predictors of childhood MCV1. Hence, it is good to give priority for the areas with low childhood MCV1 coverage, and to consider the identified factors for vaccination interventions.