Background Adequate pain management has led to increased comfort in emergency patients, reducing morbidity and improving long term outcomes. Different pain management modalities have been applied in the emergency department among which systemic analgesia is commonly used by preceding a nerve block. Several factors have been associated with poor pain management in low resource setting areas. We aimed to determine pain management modalities and associated factors among emergency surgical patients. Patients and Methods After obtaining ethical approval from Ethical Review Committee, 203 volunteer patients were enrolled. Institutional based cross-sectional prospective study was conducted from April to May 2018 in Gondar University Specialized Hospital Emergency Department. The severity of pain was measured through Numerical Rating Scale and statistical analysis was performed using SPSS statistical package version 23. Descriptive statistics cross-tab and binary logistics were performed to identify factors related to pain management in emergency department. Results A total of 203 patients, 138 (68%) males and 65 (32%) females with response rate of 94%, participated in this study. Among them, 66% patients received analgesia within two hours of ED presentation with a mean ± SD of 61.0 ± 34.1 minutes. 70.4 % of patients complained of moderate and severe pain after receiving analgesia. There was a significant difference between trauma and nontrauma patients in mean time of analgesia receiving and residual pain severity (p < 0.001). Age, trauma, physician pain assessment, and severity of pain were the predicting factors for analgesia delivery. Conclusion The overall practice of pain management in Gondar University Specialized Hospital Emergency Department was not adequate. Therefore, it is vital to implement an objective pain assessment method and documentation of the pain severity to improve pain management practice.

Background Sub-Saharan Africa (SSA) preschool age children are more vulnerable to soil-transmitted helminths (STH) which caused millions of morbidity because of low socioeconomic status and lack of clean water and sanitation. Despite this problem, there is minimal evidence on the prevalence and factors associated with deworming medication utilization among preschool age children (pre-SAC) in SSA regions. Hence this study aimed to assess the prevalence and determinants of deworming among preschool age children in SSA. Methods Demographic and Health Survey (DHS) data were used for this study with a total weighted 192,652 children aged 24–59 months. Taking deworming medication in the 6 months preceding the interview was our outcome of interest. A multi-level binary logistic regression model was fitted. Adjusted odds ratio (AOR) with 95% confidence interval (CI) was taken to identify significant variables. Results The prevalence of deworming medication utilization among preschool age children in SSA was 45.03% (95% CI 44.46%, 45.60%), ranging from 41.82% in Malawi to 50.5% in Lesotho. It was 44.91% (95% CI 44.32%, 45.51%) among countries having endemic STH infection and 46.01% (95% CI 43.64%, 48.38%) for none endemic countries. Factors such as; secondary and above women education [AOR = 2.18; 95% CI 2.10, 2.26], occupation [AOR = 1.31; 95% CI 1.27, 1.34], having ≥ 11 family members [AOR = 0.68; 95% CI 0.64, 0.70], household media exposure [AOR = 1.16; 95% CI 1.13, 1.19] and richer wealth status [AOR = 1.23; 95% CI 1.16, 1.27], vitamin A supplementation [AOR = 6.18; 95% CI 6.02, 6.33] and living rural residence [AOR = 0.94; 95% CI 0.92, 0.98] have significantly associated with deworming among preschool age children. Conclusions Utilization of deworming medication among pre-SAC children in sub-Saharan Africa is below half. Factors, such as the education status of women, family size, household media exposure, wealth status, diarrhea, vitamin A supplementation, and residence were significant variables. To increase the utilization of deworming medication for pre-SAC, WHO should work as an integrated approach with other stakeholders, by strengthening women’s education, and media exposure. Maternal employment should be promoted and prior attention should be given to rural children.

Background Iron-rich food consumption has an invaluable effect for neonatal and fetal brain development as well as metabolic activities. Despite the public health importance of the consumption of iron-rich foods, there was no study, that assessed iron-rich food consumption in Rwanda. Therefore this study aimed to assess iron-rich food consumption and associated factors among children aged 6–23 months using Rwanda Demographic and Health Survey (RDHS). Methods Secondary data analysis was done using RDHS-2019/20. Total weighted samples of 2455 children aged 6–23 months were included. Data coding, cleaning, and analysis were performed using Stata 16. Multilevel binary logistic regression were performed to identify factors associated with iron-rich food consumption. Adjusted Odds Ratio (AOR) with a 95% CI, and p-value <0.05 were used to declare statistical significance. Results The prevalence of good iron-rich food consumption was 23.56%(95% CI: 21.92,25.28). Northern province of Rwanda (AOR  =  0.26,95%CI: 0.15,0.46), mothers secondary education and above (AOR: 2.37, 95% CI: 1.41, 4.01), married mothers (AOR:1.31, 95% CI: 1.01,1.71), rich wealth status (AOR = 2.06, 95% CI: 1.48, 2.86), having post-natal visit (AOR = 1.45, 95% CI: 1.10,1.91), mothers media exposure (AOR: 1.75, 95% CI: 1.22, 2.52) and drugs given for intestinal parasite (AOR = 1.37, 95% CI: 1.04, 1.80) were associated with iron-rich food consumption. Conclusions This study shows that overall iron-rich foods consumption was low in Rwanda. The residing in the North province, mother’s secondary and higher educational status, married marital status, rich and middle wealth status, having media exposure, drugs given for intestinal parasites, and having child’s post-natal checkup were variables significantly associated with iron-rich food consumption. The region-based intervention will improve the consumption of iron-rich food. In addition, health policies and programs should target educating mothers/caregivers, encouraging parents to live together, improving their wealth status, working on mass media access by the women, and encouraging mothers post-natal checkups to improve iron-rich food consumption.

Although substantial progress has been made in reducing child mortality over the last three decades, the magnitude of the problem remains immense. Ethiopia is one of the countries with a high under-five mortality rate due to childhood illnesses including acute respiratory infections, diarrhea, and fever that varies from place to place. It is vital to have evidence of the factors associated with childhood illnesses and the spatial distribution across the country to prioritize and design targeted interventions. Thus, this study aimed to investigate the spatial cluster distribution and associated factors with common childhood illnesses. Secondary data analysis based on the 2016 Ethiopian Demographic and Health Survey data was carried out. A total weighted sample of 10,417 children was included. The study used ArcGIS and SaTScan software to explore spatial distribution. For associated factors, a multilevel binary logistic regression model was fitted using STATA V.14 software. Adjusted Odds Ratios (AOR) with a 95% Confidence Interval (CI) and p-value ≤ 0.05 in the multivariable model were used to declare significant factors associated with the problem. ICC, MOR, PCV, and deviance (−2LLR) were used to check model fitness and model comparison. In this study, the prevalence of common childhood illnesses among under-five children was 22.5% (95% CI: 21.6–23.3%). The spatial analysis depicted that common childhood illnesses have significant spatial variation across Ethiopia. The SaTScan analysis identified significant primary clusters in Tigray and Northern Amhara regions (log-likelihood ratio (LLR) = 60.19, p < 0.001). In the multilevel analysis, being rural residence [AOR = 1.39, 95% CI (1.01–1.98)], small child size at birth [AOR = 1.36, 95% CI (1.21–1.55)], high community poverty [AOR = 1.26, 95% CI (1.06–1.52)], mothers aged 35–49 [AOR = 0.81, 95% CI (0.69–0.94)], the household had electricity [AOR = 0.77, 95% CI (0.61–0.98)], the household had a refrigerator [AOR = 0.60, 95% CI (0.42–0.87)], improved drinking water [AOR = 0.82, 95% CI (0.70–0.95)], improved toilet [AOR = 0.72, 95% CI (0.54–0.94)], average child size at birth [AOR = 0.83, 95% CI (0.75–0.94)] were significantly associated with common childhood illnesses. Common childhood illnesses had spatial variations across Ethiopia. Hotspot areas of the problem were found in the Tigray, Northern Amhara, and Northeast SNNPR. Both individual and community-level factors affected common childhood illnesses distribution and prevalence in Ethiopia. Therefore, public health intervention should target the hotspot areas of common childhood illnesses to reduce their incidence in the country.

Background Adequate knowledge about the highest conception probability period in the reproductive cycle allows individuals and couples to attain or avoid their fertility probabilities. Poor knowledge of conception probability period leads to undesirable outcomes like unwanted pregnancy, miscarriage, and abortion. Determinants of knowledge of highest conception probability period were not well studied on economically disadvantaged countries. Therefore, our study aimed to identify individual and community level factors of knowledge of the highest conception probability period among women of reproductive age in low income African countries. Methods The appended and latest Demographic and Health Survey datasets of 15 low-income African countries was used for analysis. Model fitness was done using the Intraclass correlation coefficient, median odds ratio, and deviance. A model with the lowest deviance (model-III) was selected as the best model. Multilevel logistic regression model was used to identify determinant factors of knowledge of the highest conception probability period. In the final model, adjusted odds ratio with 95% confidence interval was reported and variables with p<0.05 were considered as statistically significant with knowledge of the highest conception probability period. Results Total weighted sample of 235,574 reproductive aged women with a median age of 27 years were included. The correct knowledge of the highest conception probability period among the study participants was 24.04% (95%CI = 23.87–24.22%). Maternal age groups ((20–24 (AOR = 1.49; 95%CI = 1.44–1.55), 25–29 (AOR = 1.62; 1.56–1.68), 35–39 (AOR = 1.76; 1.68–1.84), 40–44 (AOR = 1.75; 1.67–1.83), and 45–49 (AOR = 1.83; 1.74–1.93)), marital status((currently in union (AOR = 1.75; 1.16; 1.13–1.20), formerly in union (AOR = 1.75; 1.11; 1.06–1.16)), better educational status ((secondary (AOR = 2.08; 2.01–2.14) and higher(AOR = 3.36; 3.18–3.55)), higher wealth index ((middle (AOR = 1.08; 1.04–1.12), richer (AOR = 1.24; 1.20–1.28), and richest (AOR = 1.51; 1.45–1.57)), knowledge of contraceptive methods (AOR = 2.63; 2.49–2.77), current contraceptive use (AOR = 1.14; 1.11–1.16), and urban residency (AOR = 1.26; 1.21–1.29) were statistically significant with knowledge of the highest conception probability period. Conclusion In this study, knowledge of the highest conception probability period among women of reproductive age in low-income African countries was low. Therefore, improving the fertility awareness through comprehensive reproductive education or counseling could be one of the operational ways to control unintended pregnancy.